This document discusses big data analytics strategies for electric vehicle (EV) charging stations in India. It first provides background on big data and its importance in areas like the internet of things (IoT) and smart grids. It then reviews literature on selecting locations for EV charging stations and using big data techniques like adaptive particle swarm optimization to analyze usage data from EVs, drivers and charging stations to inform planning of charging infrastructure and policies. Finally, it discusses using a statistical model from the literature to forecast EV charging demand based on traffic and environmental data to help power systems accommodate additional loads from EVs.
A conspectus on electric vehicle in indiaParth Pandya
Alarming circumstance of global warming boost on the earth generated awareness that, time has come to quick track and catalyzes cleaner, greener urban mobility and this can be a lightning-bar towards an essential change which is as of now seeing development in electric vehicles worldwide and government strategies activating speculations by significant vehicle organizations. India is one of the significant markets for vehicle industry yet at the same time it is far from this idea. This paper discusses various aspects of electrical vehicles in record with Indian market, its issues, support, inspiration and future scope.
E-mobility trends in India: Challenges and OpportunitiesIET India
India is the 4th largest automotive industry in the world and is rapidly adopting connectivity and other advanced technologies in the mobility segment. The recent approval from the Government of India for the second phase of the Faster Adoption and Manufacturing of Electric vehicles (FAME 2) is a clear signal of the country’s positive intent in striding towards green mobility.
IET’s Future of Mobility and Transport Panel has brought together experts from the e-mobility industry in India to discuss the technological trends in the e-mobility space and ways of optimising e-mobility use for everyday life. This document gives a brief summary of the discussions that shed light on the progress of e-mobility in India, pressing challenges that lie ahead and the way forward for e-mobility in the country. Experts also discussed the technology driven trends faced by the Indian market and how these will impact mobility behaviour in India.
Electric vehicle charging infrastructure in India: Challenges and road aheadIET India
Charging infrastructure is the backbone for EV adoption in India, in the same way as Internet was for e-commerce. The Government of India announced an outlay of ₹10,000 crore for
FAME 2 to boost the number of electric vehicles in India and a total of ₹1,000 crore has been earmarked for setting up charging stations for EVs. Much of the remaining policy are
behavioural modifications and demand incentives for end users. However, the adoption relies heavily on how we crack the chicken and egg situation of charging infrastructure.
IET’s Future of Mobility and Transport Panel brought together a set of EV infrastructure experts drawn from organisations representing battery manufacturers, fleet operators, charging service providers, fintech firms as well as the Government of India in a bid to articulate current challenges in adoption of EV vehicles in India. Read the report to get answers to your questions regarding: Should fleet owners go beyond their core competency and deploy charging infrastructure or should the government plan for the demand? What will the numbers look like in 3 years? How
can demand load planning be done with the distribution companies? What business models will be successful?
IRJET- Electrical Vehicle Charging by Electromagnetic Induction Via Loosely C...IRJET Journal
This document discusses a proposed method for wirelessly charging electric vehicles using electromagnetic induction through loosely coupled coils. The system would involve large buses traveling along highways and roads that are equipped with transmitting coils that can inductively charge receiving coils in electric vehicles as they pass by or follow the bus. The document outlines the basic components and design of such a wireless charging system, including transmitter and receiver circuits that use resonant magnetic coupling between coils tuned to the same frequency to transfer power over short distances. It also reviews some of the benefits of wireless charging systems and opportunities for further research on electric vehicle charging applications.
This is my presentation behalf of the research conducted by me on the topic of contemporary challenges and opportunities for electric vehicle market in India during my bachelors of commerce hons in MS university of Baroda
Electric Vehicles in India: Challenges & Opportunities Nitin Sukh
Electric vehicles (EVs) are no longer science fiction. Scientific achievements in this space have led to the mainstreaming of EVs in the United States, Israel and some European countries. India isn’t far behind either with Mahindra-Reva, Hero Electric and other domestic OEMs leading the front. Durable lithium ion batteries, fast charging networks, efficient chassis design and electric drive trains are key links in the EV value chain and extensive technological progress has been made in all these areas. However, for EVs to truly lead GhG reduction in Indian Industry and have a positive impact on the country’s energy security, the integration of smart grids and renewable energy feeds into these grids are a must. In fact, without these two critical components, the introduction of EVs into the current ecosystem would be an ecological burden and lead to greater GhG emissions since energy will be derived from a predominantly coal powered and inefficient energy grid.
Therefore, this study undertaken by YES BANK and TERI-BCSD critically analyses the EV value chain, identifying hidden triple bottom line risks and highlighting innovative clean technologies and business models that mitigate those risks, thereby making the value chain more attractive from lending and investment perspectives. The paper also concludes with a sobering and pragmatic analysis of the current and projected EV scenario in India versus the internal combustion engine.
The global pandemic has had a massive socio-economic impact on the urban mobility sector. As the government eases lockdown measures, urban mobility is becoming a huge focus of anxiety, with a large number of people considering when and how to resume travel. This implies that the transport system will have to be re-designed such that passengers are at a safe enough distance from each other. Serious questions like: will personal vehicles become the safest means to travel? What about the safety of people who cannot afford personal vehicles? What will happen to the present mode of public transport, will need answers.
This report titled, “Resetting for Urban Mobility 2020+ in India” discusses challenges brought in the urban mobility space by the COVID-19 pandemic. The document highlights the key measures to be taken at both the government and individual levels as public
transportation across the globe begins to unlock. Viewpoints from London, Singapore, and India – on the future of urban planning and public transport in response to the ongoing pandemic have also been discussed in this document. Experts from these counties contribute to a deeper understanding of safety measures adopted.
Electric vehicles in India- scope and challengesAbhishek Kumar
Importance of EVs, Market Scenario and Government of India Initiatives. EVs will play an important role in moving towards the initiation of green energy and changing the economy around the world.
A conspectus on electric vehicle in indiaParth Pandya
Alarming circumstance of global warming boost on the earth generated awareness that, time has come to quick track and catalyzes cleaner, greener urban mobility and this can be a lightning-bar towards an essential change which is as of now seeing development in electric vehicles worldwide and government strategies activating speculations by significant vehicle organizations. India is one of the significant markets for vehicle industry yet at the same time it is far from this idea. This paper discusses various aspects of electrical vehicles in record with Indian market, its issues, support, inspiration and future scope.
E-mobility trends in India: Challenges and OpportunitiesIET India
India is the 4th largest automotive industry in the world and is rapidly adopting connectivity and other advanced technologies in the mobility segment. The recent approval from the Government of India for the second phase of the Faster Adoption and Manufacturing of Electric vehicles (FAME 2) is a clear signal of the country’s positive intent in striding towards green mobility.
IET’s Future of Mobility and Transport Panel has brought together experts from the e-mobility industry in India to discuss the technological trends in the e-mobility space and ways of optimising e-mobility use for everyday life. This document gives a brief summary of the discussions that shed light on the progress of e-mobility in India, pressing challenges that lie ahead and the way forward for e-mobility in the country. Experts also discussed the technology driven trends faced by the Indian market and how these will impact mobility behaviour in India.
Electric vehicle charging infrastructure in India: Challenges and road aheadIET India
Charging infrastructure is the backbone for EV adoption in India, in the same way as Internet was for e-commerce. The Government of India announced an outlay of ₹10,000 crore for
FAME 2 to boost the number of electric vehicles in India and a total of ₹1,000 crore has been earmarked for setting up charging stations for EVs. Much of the remaining policy are
behavioural modifications and demand incentives for end users. However, the adoption relies heavily on how we crack the chicken and egg situation of charging infrastructure.
IET’s Future of Mobility and Transport Panel brought together a set of EV infrastructure experts drawn from organisations representing battery manufacturers, fleet operators, charging service providers, fintech firms as well as the Government of India in a bid to articulate current challenges in adoption of EV vehicles in India. Read the report to get answers to your questions regarding: Should fleet owners go beyond their core competency and deploy charging infrastructure or should the government plan for the demand? What will the numbers look like in 3 years? How
can demand load planning be done with the distribution companies? What business models will be successful?
IRJET- Electrical Vehicle Charging by Electromagnetic Induction Via Loosely C...IRJET Journal
This document discusses a proposed method for wirelessly charging electric vehicles using electromagnetic induction through loosely coupled coils. The system would involve large buses traveling along highways and roads that are equipped with transmitting coils that can inductively charge receiving coils in electric vehicles as they pass by or follow the bus. The document outlines the basic components and design of such a wireless charging system, including transmitter and receiver circuits that use resonant magnetic coupling between coils tuned to the same frequency to transfer power over short distances. It also reviews some of the benefits of wireless charging systems and opportunities for further research on electric vehicle charging applications.
This is my presentation behalf of the research conducted by me on the topic of contemporary challenges and opportunities for electric vehicle market in India during my bachelors of commerce hons in MS university of Baroda
Electric Vehicles in India: Challenges & Opportunities Nitin Sukh
Electric vehicles (EVs) are no longer science fiction. Scientific achievements in this space have led to the mainstreaming of EVs in the United States, Israel and some European countries. India isn’t far behind either with Mahindra-Reva, Hero Electric and other domestic OEMs leading the front. Durable lithium ion batteries, fast charging networks, efficient chassis design and electric drive trains are key links in the EV value chain and extensive technological progress has been made in all these areas. However, for EVs to truly lead GhG reduction in Indian Industry and have a positive impact on the country’s energy security, the integration of smart grids and renewable energy feeds into these grids are a must. In fact, without these two critical components, the introduction of EVs into the current ecosystem would be an ecological burden and lead to greater GhG emissions since energy will be derived from a predominantly coal powered and inefficient energy grid.
Therefore, this study undertaken by YES BANK and TERI-BCSD critically analyses the EV value chain, identifying hidden triple bottom line risks and highlighting innovative clean technologies and business models that mitigate those risks, thereby making the value chain more attractive from lending and investment perspectives. The paper also concludes with a sobering and pragmatic analysis of the current and projected EV scenario in India versus the internal combustion engine.
The global pandemic has had a massive socio-economic impact on the urban mobility sector. As the government eases lockdown measures, urban mobility is becoming a huge focus of anxiety, with a large number of people considering when and how to resume travel. This implies that the transport system will have to be re-designed such that passengers are at a safe enough distance from each other. Serious questions like: will personal vehicles become the safest means to travel? What about the safety of people who cannot afford personal vehicles? What will happen to the present mode of public transport, will need answers.
This report titled, “Resetting for Urban Mobility 2020+ in India” discusses challenges brought in the urban mobility space by the COVID-19 pandemic. The document highlights the key measures to be taken at both the government and individual levels as public
transportation across the globe begins to unlock. Viewpoints from London, Singapore, and India – on the future of urban planning and public transport in response to the ongoing pandemic have also been discussed in this document. Experts from these counties contribute to a deeper understanding of safety measures adopted.
Electric vehicles in India- scope and challengesAbhishek Kumar
Importance of EVs, Market Scenario and Government of India Initiatives. EVs will play an important role in moving towards the initiation of green energy and changing the economy around the world.
The document summarizes a seminar presentation on e-rickshaws. It discusses the introduction and working of e-rickshaws, including their components and charging stations. It presents the objectives and conclusions of the seminar, as well as the merits, demerits and future scope of e-rickshaws. Case studies and literature reviews on e-rickshaws are also summarized. The presentation evaluates e-rickshaws as an energy efficient and environmentally friendly transportation solution with potential to address issues of pollution and last mile connectivity.
A Study of Customer Intension towards E-Vehicles KarthikR188
This document summarizes a study on customer intention towards electric vehicles in India. The study found that while only 6% currently own electric vehicles, most customers see advantages over gasoline vehicles. However, high price is currently a barrier to adoption. Key factors for customers include price, performance, fuel economy and environmental impact. Within 5-10 years, most customers expect electric vehicles could comprise a majority of vehicles owned. Increased availability of charging stations and battery capacity could help drive adoption.
The presentation highlights the following :
a) Current status of Renewable Energy in India
b) The issue of duck curve due to high volume of solar energy
c) Demand increase due to Electric Vehicle (EV) will lead to more demand for Renewable Energy
d) Global & Indian Market Scenario for Electric Vehicle (EV)
e) Recommendation of Niti Aayog for development of Electric Vehicle (EV) market in India
State of the-Indian Electric Vehicle Infrastructure Market (An In-depth analy...Mirdul Amin Sarkar
Electric Vehicle(EV) is the sexiest transportation system of the 21st century. In India, Electric Vehicles (EVs) are the new talk of town not only because it helps to reduce emissions, but also they give the owner a status in society, that of one conscious of the environment, a green crusader of sorts
CUSTOMER BUYING INTENTION TOWARDS ELECTRIC VEHICLE IN INDIAIAEME Publication
Electric vehicle is a new way of transportation having no air, noise pollution and
an environmental friendly way to commute. India being a major market for electric
vehicle and government plan to be an electric vehicle country by 2030 is a major
ambitious plan and to achieve this this study has been conducted to check the
acceptability of people towards electric vehicle and its effect on automobile industry.
In this study we tried to find the people opinion and their awareness about the electric
vehicle, reaction to some shortcomings of electric vehicle and will people accept it
wholeheartedly. Government of India launched FAME scheme to increase the
adoption of electric vehicle among masses.
Almost all the vehicle producer in the world have at least one electric vehicle in
their product portfolio and around the globe the acceptance of electric people is
rapidly growing. Several policies in favor of electric mobility has been rolled out and
its immediate effect are positive. However it’s an ambitious and long journey with a
comprehensive policy plan, it can be achieved. Policies need to be introduce to
discourage the further adoption of gasoline vehicle and new schemes need to be
implemented to aggravate the adoption of electric vehicle.
This study used 9 independent factors pertaining to characteristics of electric cars
and developed a regression model for determining the buying behavior of customer.
The analysis was done using R software. The study found that mobility and recharging
characteristics were found to be most significant factors while RTO norms was
considered to be the least significant characteristic affecting the buying decision of
electric cars. The model developed from our study was 88% accurate and hence can
be used for predicting the buying behavior of customer. This study is of prime
importance to the companies who wanted to launch electric cars in India.
The document discusses electrical vehicles (EVs), including their history, types, components, benefits over internal combustion engine vehicles, and government initiatives in India to promote EVs. There is a growing interest in EVs due to their higher energy efficiency compared to gasoline vehicles. The main types of EVs are battery electric vehicles (BEVs), hybrid electric vehicles (HEVs), and plug-in hybrid electric vehicles (PHEVs). EVs have fewer moving parts and are more energy efficient than gasoline vehicles. While EVs currently have a higher upfront cost, their operating and maintenance costs are lower over time. The Indian government has implemented programs like FAME and incentives to increase EV adoption and manufacturing. However, there remains a
The document discusses electric vehicles and hybrid electric vehicles. It provides details on the types of electric vehicles, their components like electric motors and batteries. It explains the benefits of electric vehicles like higher energy efficiency, regenerative braking, and quiet operation. However, it also mentions challenges like limited driving range due to low battery energy density and long charging times. The document discusses different types of batteries used in electric vehicles and their characteristics. It provides a comparison of the energy efficiency and emissions of electric vehicles versus gasoline vehicles.
This document discusses hybrid electric vehicles (HEVs). It defines HEVs as vehicles powered by two different energy sources, an electric motor and an internal combustion engine. The document outlines the basic components and powertrain configurations of conventional, hybrid, and battery electric vehicles. It discusses the history of HEVs and factors like technology advancements that enabled their modern development. Benefits of HEVs include increased fuel efficiency and reduced emissions from regenerative braking. The document also reviews some examples of current HEV models and the potential future developments and applications of HEV technology.
What Is The Future of Electric vehicles in India by 2030
Under this mission, the Government would use the following mechanisms/ policies to increase the usage of electric vehicles in India
National Electric Mobility Plan (NEMMP) 2020 targets to deploy 5 to 7 million electric vehicles in the country by 2020
Permissive legislation: Legislations to allow usage of electric vehicles in various areas, if not already allowed.
Source- http://e-vehicleinfo.com/
The electric vehicle market has grown rapidly in recent years due to improving technology and decreasing battery prices, as well as government subsidies. The market share of electric vehicles increased from 4% to 5% by 2020. Leading markets for electric vehicles are currently China, Europe, and North America. Key factors driving future electric vehicle market growth include expanding charging infrastructure and the increasing adoption of electric buses and mid-priced electric vehicles.
This document discusses the opportunities for electric vehicle charging infrastructure in India. It notes that electric vehicles can help reduce emissions from the transportation sector to address climate change. The number of electric vehicles in India is expected to significantly increase over the coming years, driven by government policies. This growing electric vehicle market will require widespread charging infrastructure. The document analyzes the electric vehicle charging business opportunity and potential business models. It recommends that NTPC, India's largest power producer, consider entering this emerging market to leverage its expertise in electricity distribution.
The document discusses the potential for a peer-to-peer (P2P) electric vehicle (EV) charging infrastructure using blockchain technology. It outlines the rising adoption of EVs and need for more charging stations. A P2P model could allow private owners to share surplus energy and charge other EVs directly without third parties. Blockchain would allow for decentralized management, transparency, and energy sharing through smart contracts. The document proposes a technical architecture and implementation using Hyperledger Fabric to build a trusted P2P EV charging network.
The document provides an overview of electric vehicles (EVs) in India. It discusses the Indian automobile industry and the government's policies and plans to promote EVs, such as the National Electric Mobility Mission Plan 2020 and FAME (Faster Adoption and Manufacturing of Hybrid and Electric Vehicles) scheme. The government aims to transition India's mobility to electric and establish the country as a global EV leader through targets, regulations, manufacturing incentives, and investments in charging infrastructure.
The electric vehicles market in India is currently small but expected to grow substantially over the next decade. Current market share is less than 0.1% but demand is estimated to increase 50 times by 2020 to 5 million units according to industry studies. The market is dominated by electric two-wheelers and led by Mahindra Reva in passenger electric cars. Growth will depend on continued government support through incentives coupled with advances in battery technology and industry investments. However, high prices, lack of charging infrastructure, and customer acceptance remain key challenges.
The Electric Vehicles are the future of our country. The Government also target to switch to e-vehicles in the near future which is better alternative to fuel-based automobiles to mitigate air pollution. The Indian government aims to build a network of charging infrastructure throughout the country which is good opportunity for the start-up and also giving the incentive for generation of green energy. As the most of the auto industry has been complaining about the lack of charging support directly discouraging their interest in switching vehicles to electric. The lack of Charging Stations develop the fear that if vehicle will run out of charge and no charging station near them what they will do. So our mission is to provide E service on battery charging, battery replacement, Pickup the vehicle and unload to nearby garage, and if any excess of generation of electricity sold to DISCOM at government decided rate., which will boost the public interest in commuting between cities, enabling a smooth and sustainable transition to a future-oriented mobility solution. Our company will use the solar system to provide the charging service to the customers. Our future plans is to reach the different states and remote areas for providing charging stations which encourage the people to buy the Electric Vehicle
Hybrid Electric Scooter Assembling Business. Electric Vehicles (EVs) Industry. Business Opportunities in Electric Two-Wheelers Manufacturing Industry
Hybrid electric vehicles (HEVs) combine the benefits of gasoline engines and electric motors and can be configured to meet different objectives such as improved fuel economy, increased power, or additional auxiliary power for electronic devices and power tools. This type of vehicle is considered to have better performance and fuel economy compared to a conventional one.
See more
https://goo.gl/pNQAtp
https://goo.gl/u53y6c
https://goo.gl/WXPGmL
Contact us:
Niir Project Consultancy Services
An ISO 9001:2015 Company
106-E, Kamla Nagar, Opp. Spark Mall,
New Delhi-110007, India.
Email: npcs.ei@gmail.com , info@entrepreneurindia.co
Tel: +91-11-23843955, 23845654, 23845886, 8800733955
Mobile: +91-9811043595
Website: www.entrepreneurindia.co , www.niir.org
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Smart Management of EV Charging StationIRJET Journal
This document discusses a proposed smart management system for electric vehicle (EV) charging stations. It begins with an introduction to EVs and the need for efficient charging solutions. The proposed system would allow users to view nearby charging stations, book an available time slot at the nearest station, and receive navigation guidance via maps. It would also include a chatbot for queries and display of battery level information. The objectives are to simplify the EV charging process and make it more accessible. The system is intended to connect multiple stations through a centralized platform. A literature review covers topics like fast charging technologies, display interfaces, vehicle-to-grid systems, and shortest path algorithms for routing EVs.
Design and development of smart interoperable electric vehicle supply equipme...IJECEIAES
The transportation industry at present is moving towards electrification and the number of electric vehicles in the market increased with the different policies of the directorate. Consumers, who wish to contribute to green mobility are concerned about the limited availability of charging points due to high manufacturing costs and the interoperability issues related to smart charging. This work proposes an internet of things-based low-cost, interoperable smart electric vehicle supply equipment for deploying in all charging stations. The device hardware is designed to monitor, analyze, and collect consumed energy by the vehicle and transfer this data to a connected network. The pre-defined messages associated with the firmware will help to record this data with a remote management server for further processing. The messages are defined in JavaScript Object Notation (JSON), which helps to overcome the interoperability issue. The device is smart because it can gather energy usage, detect device faults, and be intimate with the controller for a better operational environment. The associated management servers and mobile applications help to operate the smart device remotely and keep track of the usage statics. The developed low-cost, interoperable smart model is most suitable for two and three-wheeler vehicles.
The document summarizes a seminar presentation on e-rickshaws. It discusses the introduction and working of e-rickshaws, including their components and charging stations. It presents the objectives and conclusions of the seminar, as well as the merits, demerits and future scope of e-rickshaws. Case studies and literature reviews on e-rickshaws are also summarized. The presentation evaluates e-rickshaws as an energy efficient and environmentally friendly transportation solution with potential to address issues of pollution and last mile connectivity.
A Study of Customer Intension towards E-Vehicles KarthikR188
This document summarizes a study on customer intention towards electric vehicles in India. The study found that while only 6% currently own electric vehicles, most customers see advantages over gasoline vehicles. However, high price is currently a barrier to adoption. Key factors for customers include price, performance, fuel economy and environmental impact. Within 5-10 years, most customers expect electric vehicles could comprise a majority of vehicles owned. Increased availability of charging stations and battery capacity could help drive adoption.
The presentation highlights the following :
a) Current status of Renewable Energy in India
b) The issue of duck curve due to high volume of solar energy
c) Demand increase due to Electric Vehicle (EV) will lead to more demand for Renewable Energy
d) Global & Indian Market Scenario for Electric Vehicle (EV)
e) Recommendation of Niti Aayog for development of Electric Vehicle (EV) market in India
State of the-Indian Electric Vehicle Infrastructure Market (An In-depth analy...Mirdul Amin Sarkar
Electric Vehicle(EV) is the sexiest transportation system of the 21st century. In India, Electric Vehicles (EVs) are the new talk of town not only because it helps to reduce emissions, but also they give the owner a status in society, that of one conscious of the environment, a green crusader of sorts
CUSTOMER BUYING INTENTION TOWARDS ELECTRIC VEHICLE IN INDIAIAEME Publication
Electric vehicle is a new way of transportation having no air, noise pollution and
an environmental friendly way to commute. India being a major market for electric
vehicle and government plan to be an electric vehicle country by 2030 is a major
ambitious plan and to achieve this this study has been conducted to check the
acceptability of people towards electric vehicle and its effect on automobile industry.
In this study we tried to find the people opinion and their awareness about the electric
vehicle, reaction to some shortcomings of electric vehicle and will people accept it
wholeheartedly. Government of India launched FAME scheme to increase the
adoption of electric vehicle among masses.
Almost all the vehicle producer in the world have at least one electric vehicle in
their product portfolio and around the globe the acceptance of electric people is
rapidly growing. Several policies in favor of electric mobility has been rolled out and
its immediate effect are positive. However it’s an ambitious and long journey with a
comprehensive policy plan, it can be achieved. Policies need to be introduce to
discourage the further adoption of gasoline vehicle and new schemes need to be
implemented to aggravate the adoption of electric vehicle.
This study used 9 independent factors pertaining to characteristics of electric cars
and developed a regression model for determining the buying behavior of customer.
The analysis was done using R software. The study found that mobility and recharging
characteristics were found to be most significant factors while RTO norms was
considered to be the least significant characteristic affecting the buying decision of
electric cars. The model developed from our study was 88% accurate and hence can
be used for predicting the buying behavior of customer. This study is of prime
importance to the companies who wanted to launch electric cars in India.
The document discusses electrical vehicles (EVs), including their history, types, components, benefits over internal combustion engine vehicles, and government initiatives in India to promote EVs. There is a growing interest in EVs due to their higher energy efficiency compared to gasoline vehicles. The main types of EVs are battery electric vehicles (BEVs), hybrid electric vehicles (HEVs), and plug-in hybrid electric vehicles (PHEVs). EVs have fewer moving parts and are more energy efficient than gasoline vehicles. While EVs currently have a higher upfront cost, their operating and maintenance costs are lower over time. The Indian government has implemented programs like FAME and incentives to increase EV adoption and manufacturing. However, there remains a
The document discusses electric vehicles and hybrid electric vehicles. It provides details on the types of electric vehicles, their components like electric motors and batteries. It explains the benefits of electric vehicles like higher energy efficiency, regenerative braking, and quiet operation. However, it also mentions challenges like limited driving range due to low battery energy density and long charging times. The document discusses different types of batteries used in electric vehicles and their characteristics. It provides a comparison of the energy efficiency and emissions of electric vehicles versus gasoline vehicles.
This document discusses hybrid electric vehicles (HEVs). It defines HEVs as vehicles powered by two different energy sources, an electric motor and an internal combustion engine. The document outlines the basic components and powertrain configurations of conventional, hybrid, and battery electric vehicles. It discusses the history of HEVs and factors like technology advancements that enabled their modern development. Benefits of HEVs include increased fuel efficiency and reduced emissions from regenerative braking. The document also reviews some examples of current HEV models and the potential future developments and applications of HEV technology.
What Is The Future of Electric vehicles in India by 2030
Under this mission, the Government would use the following mechanisms/ policies to increase the usage of electric vehicles in India
National Electric Mobility Plan (NEMMP) 2020 targets to deploy 5 to 7 million electric vehicles in the country by 2020
Permissive legislation: Legislations to allow usage of electric vehicles in various areas, if not already allowed.
Source- http://e-vehicleinfo.com/
The electric vehicle market has grown rapidly in recent years due to improving technology and decreasing battery prices, as well as government subsidies. The market share of electric vehicles increased from 4% to 5% by 2020. Leading markets for electric vehicles are currently China, Europe, and North America. Key factors driving future electric vehicle market growth include expanding charging infrastructure and the increasing adoption of electric buses and mid-priced electric vehicles.
This document discusses the opportunities for electric vehicle charging infrastructure in India. It notes that electric vehicles can help reduce emissions from the transportation sector to address climate change. The number of electric vehicles in India is expected to significantly increase over the coming years, driven by government policies. This growing electric vehicle market will require widespread charging infrastructure. The document analyzes the electric vehicle charging business opportunity and potential business models. It recommends that NTPC, India's largest power producer, consider entering this emerging market to leverage its expertise in electricity distribution.
The document discusses the potential for a peer-to-peer (P2P) electric vehicle (EV) charging infrastructure using blockchain technology. It outlines the rising adoption of EVs and need for more charging stations. A P2P model could allow private owners to share surplus energy and charge other EVs directly without third parties. Blockchain would allow for decentralized management, transparency, and energy sharing through smart contracts. The document proposes a technical architecture and implementation using Hyperledger Fabric to build a trusted P2P EV charging network.
The document provides an overview of electric vehicles (EVs) in India. It discusses the Indian automobile industry and the government's policies and plans to promote EVs, such as the National Electric Mobility Mission Plan 2020 and FAME (Faster Adoption and Manufacturing of Hybrid and Electric Vehicles) scheme. The government aims to transition India's mobility to electric and establish the country as a global EV leader through targets, regulations, manufacturing incentives, and investments in charging infrastructure.
The electric vehicles market in India is currently small but expected to grow substantially over the next decade. Current market share is less than 0.1% but demand is estimated to increase 50 times by 2020 to 5 million units according to industry studies. The market is dominated by electric two-wheelers and led by Mahindra Reva in passenger electric cars. Growth will depend on continued government support through incentives coupled with advances in battery technology and industry investments. However, high prices, lack of charging infrastructure, and customer acceptance remain key challenges.
The Electric Vehicles are the future of our country. The Government also target to switch to e-vehicles in the near future which is better alternative to fuel-based automobiles to mitigate air pollution. The Indian government aims to build a network of charging infrastructure throughout the country which is good opportunity for the start-up and also giving the incentive for generation of green energy. As the most of the auto industry has been complaining about the lack of charging support directly discouraging their interest in switching vehicles to electric. The lack of Charging Stations develop the fear that if vehicle will run out of charge and no charging station near them what they will do. So our mission is to provide E service on battery charging, battery replacement, Pickup the vehicle and unload to nearby garage, and if any excess of generation of electricity sold to DISCOM at government decided rate., which will boost the public interest in commuting between cities, enabling a smooth and sustainable transition to a future-oriented mobility solution. Our company will use the solar system to provide the charging service to the customers. Our future plans is to reach the different states and remote areas for providing charging stations which encourage the people to buy the Electric Vehicle
Hybrid Electric Scooter Assembling Business. Electric Vehicles (EVs) Industry. Business Opportunities in Electric Two-Wheelers Manufacturing Industry
Hybrid electric vehicles (HEVs) combine the benefits of gasoline engines and electric motors and can be configured to meet different objectives such as improved fuel economy, increased power, or additional auxiliary power for electronic devices and power tools. This type of vehicle is considered to have better performance and fuel economy compared to a conventional one.
See more
https://goo.gl/pNQAtp
https://goo.gl/u53y6c
https://goo.gl/WXPGmL
Contact us:
Niir Project Consultancy Services
An ISO 9001:2015 Company
106-E, Kamla Nagar, Opp. Spark Mall,
New Delhi-110007, India.
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Smart Management of EV Charging StationIRJET Journal
This document discusses a proposed smart management system for electric vehicle (EV) charging stations. It begins with an introduction to EVs and the need for efficient charging solutions. The proposed system would allow users to view nearby charging stations, book an available time slot at the nearest station, and receive navigation guidance via maps. It would also include a chatbot for queries and display of battery level information. The objectives are to simplify the EV charging process and make it more accessible. The system is intended to connect multiple stations through a centralized platform. A literature review covers topics like fast charging technologies, display interfaces, vehicle-to-grid systems, and shortest path algorithms for routing EVs.
Design and development of smart interoperable electric vehicle supply equipme...IJECEIAES
The transportation industry at present is moving towards electrification and the number of electric vehicles in the market increased with the different policies of the directorate. Consumers, who wish to contribute to green mobility are concerned about the limited availability of charging points due to high manufacturing costs and the interoperability issues related to smart charging. This work proposes an internet of things-based low-cost, interoperable smart electric vehicle supply equipment for deploying in all charging stations. The device hardware is designed to monitor, analyze, and collect consumed energy by the vehicle and transfer this data to a connected network. The pre-defined messages associated with the firmware will help to record this data with a remote management server for further processing. The messages are defined in JavaScript Object Notation (JSON), which helps to overcome the interoperability issue. The device is smart because it can gather energy usage, detect device faults, and be intimate with the controller for a better operational environment. The associated management servers and mobile applications help to operate the smart device remotely and keep track of the usage statics. The developed low-cost, interoperable smart model is most suitable for two and three-wheeler vehicles.
The Future Direction of Smart Grid by 2050 in Indiaijtsrd
The present power network utilizing the technology of 1970, however are associated with increment with the advancement in various idea of intensity age, issues with the power blackouts and robbery, and furthermore due to the interest, we require a modernized matrix to fit the requirements of the clients even in the to take the circumstance in case publicity, what can be called Smart Grid . The Smart Grid performs different capacities, so it builds organize solidness, unwavering quality, proficiency and eventually decreases the conduction misfortunes. The Smart Grids are the two way preparing intensity of the shoppers who may have disseminated age. Different advancements for example, sensors and estimation, utilization of propelled segments are utilized for the effective working of the system. Stood up to in this paper, Smart Grid, its highlights, advancements in keen framework utilized, usage and difficulties of Smart Grid in India are examined. Utsab Banerjee "The Future Direction of Smart Grid by 2050 in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29431.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29431/the-future-direction-of-smart-grid-by-2050-in-india/utsab-banerjee
ELECTRIC VEHICLE LONG RANGE DISTANCE PROBLEMIRJET Journal
1) The document discusses the problem of limited range for electric vehicles due to battery constraints and long recharging times. It proposes a novel technique to maximize motor efficiency and minimize power usage through multi-objective optimization, which could yield improved range.
2) The research aims to identify barriers to widespread adoption of electric vehicles in India and address issues like consumer preferences, production capabilities, and resource availability. It examines how home charging could help electric two-wheelers and solutions for improving long range.
3) Various studies on electric vehicle usage and drivers' perceptions are analyzed, finding that most daily trips could be accommodated even with a 60-mile range and that limited range causes some drivers to cancel trips. The research methodology and
This document discusses electric vehicle battery swapping stations as a solution to barriers around EV adoption. It proposes a multi-objective optimization model to determine the optimal strategy for operating a battery swapping station. The model considers minimizing costs from battery utilization, damage from different charging methods, and dynamic electricity costs, while satisfying demand. The solution provides the optimal number of batteries to use from stock and charging decisions for incoming discharged batteries. The results from two optimization tools, Solver in MS Excel and Lingo software, were compared.
Service Time Analysis For Electric Vehicle Charging Infrastructure IJECEIAES
This paper analyzes electric vehicle charging patterns in Jeju City, taking advantage of open software such as MySQL, Hadoop, and R, as well as open data obtained from the real-time charger monitoring system currently in operation. Main observation points lie in average service time, maximum service time, and the number of transactions, while we measure the effect of both temporal and spatial factors to them. According to the analysis result, the average service time is almost constant for all parameters. The charging time of 88.7 % transactions ranges from 10 to 40 minutes, while abnormally long transactions occupy just 3.4 % for fast chargers. The day-by-day difference in the number of charging transactions is 28.6 % at maximum, while Wednesday shows the largest number of transactions. Additionally, geographic information-based analysis tells that the charging demand is concentrated in those regions having many tourist attractions and administrative offices. With this analysis, it is possible to predict when a charger will be idle and allocate it to another service such as V2G or renewable energy integration.
This paper is set against a backdrop where India is at an important juncture in the energy landscape – a
present riddled with many challenges and an imminent future of multiple opportunities led by technology
implementations. The paper begins by providing an overall context to the Indian Power scenario and
introduces the country’s ambitious smart grids vision led by security, adaptability, sustainability, reliability and
quality. In the next section, we delve deeper into the characteristics of the Indian Smart Energy ecosystem
– exploring the market potential and opportunities as well as policies that are currently in place. The third
segment is dedicated to standardization and an effort has been made to bring together all relevant standards
(including IoT) as well as policies that enable their implementation. This segment also discusses cyber security
and associated challenges, as these tenets are critical to the standards debate. The fourth segment explores
opportunities and challenges that all these bring in the areas of renewable energy, transmission, distribution,
micro-grids and security as well as their possible impact. In the final section, the paper puts forth some
actionable recommendations for stakeholders in the energy ecosystem including calling for new policies around
rooftop PVs, net metering, communications and IoT, data usage, distribution automation and management of
distributed energy resources, schemes for incentivizing stakeholders as well as greater collaboration among
ecosystem players. In doing so, it also highlights the benefits that collaborations such as those between India
and EU could bring to accelerating both standards creation as well as implementation.
On-Road Charging of Vehicles Using Contact- Less Power Transfer by Solar PowerIRJET Journal
The document discusses wireless charging of electric vehicles using contactless power transfer through solar power. It begins with an abstract and introduction on the benefits of wireless charging for EVs. It then discusses the current technologies for wireless charging systems, including induction charging pads embedded in roadways. The document also examines static and dynamic wireless charging models for stationary and moving vehicles. It presents simulations of wireless charging circuits and graphs showing input and output power and battery state of charge. The conclusion states that while wireless power transfer has benefits, current technologies have limitations and require continued research to increase power and distance capabilities for practical applications.
From 2020 to 2025, the annual growth rate of the global smart city market is 14.8%, reaching US$820.7 billion.
This is the result of a market survey conducted recently by market analysts.
The most interesting aspect of the report did not appear in the data, and the data hardly explained anything. Instead, we should see this in the logic of the ecosystem in which they are located. An ecosystem involving not only public administration and local authorities, but also citizens, utility companies, and technology suppliers (hardware and software) gives us a rough idea of what we expect in the next five years.
Let us understand the results of the research in more detail.
The security of Electric Vehicle (EV) charging has gained momentum after the increase in the EV adoption
in the past few years. Mobile applications have been integrated into EV charging systems that mainly use a
cloud-based platform to host their services and data. Like many complex systems, cloud systems are
susceptible to cyberattacks if proper measures are not taken by the organization to secure them. In this
paper, we explore the security of key components in the EV charging infrastructure, including the mobile
application and its cloud service. We conducted an experiment that initiated a Man in the Middle attack
between an EV app and its cloud services. Our results showed that it is possible to launch attacks against
the connected infrastructure by taking advantage of vulnerabilities that may have substantial economic and
operational ramifications on the EV charging ecosystem. We conclude by providing mitigation suggestions
and future research directions.
The world is moving forward at a fast hop, and the credit goes to ever growing technology. One such idea is IOT Internet of things with which automation is no longer a virtual reality. The Internet of Things will seamlessly incorporate a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of an overabundance of digital services. Building a wide ranging architecture for IoT is required because of the extremely large variety of devices but it is a very complex task, link layer technologies, and services that may be involved in such a system. In this paper we emphasis specifically to an urban IoT systems that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, which aims at take advantage of the most advanced communication technologies to support added value services for the administration of the city and for the citizens. Sunitha C | Asha Priya B | Lavanya S ""Need of Internet of Things for Smart Cities"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23597.pdf
Paper URL: https://www.ijtsrd.com/computer-science/world-wide-web/23597/need-of-internet-of-things-for-smart-cities/sunitha-c
A Review on Electric Vehicle Charging SystemsIRJET Journal
This document reviews electric vehicle charging systems. It discusses different types of chargers and charging methods, including onboard and off-board chargers. It also covers battery management systems and their functions in monitoring battery state, balancing cells, and ensuring safety. The document reviews literature on electric vehicle charger topologies and control algorithms. It aims to understand lithium-ion battery operation and charging, accurately determine state of charge, and design an intelligent onboard level 1 charging system and automatic payment system. Level 1 charging uses a standard outlet but is slow, making it suitable for multi-unit dwellings and backup charging. Pricing strategies can influence when drivers remove fully charged vehicles from stations.
Analyzing Role of Big Data and IoT in Smart CitiesIJAEMSJORNAL
Big data and Internet of Things (IoT) technologies have evolved and expanded tremendously and hence play a major role in building feasible initiatives for smart city development. IoT and big data form a perfect blend in bringing an interesting and novel challenge to attain futuristic smart cities. These new challenges mainly focus on business and technology related issues that help smart cities to formulate their principles, vision, & requirements of smart city applications. In this paper, the role of big data and IoT technologies with respect to smart cities is analyzed. The benefits that smart cities will have from big data and IoT are also discussed. Various challenges faced by smart cities in general related to big data and IoT have also been described here. Moreover, the future statistics of IoT and big data with respect to smart cities is also deliberated.
Blockchain and ai__architectures__challenges_and_future_directions_for_enabli...Hani Sami
Nowadays, nobody neglects the fact that #autonomous_vehicles are the future. Nevertheless, many problems stem from letting machines take control of the streets without embedding a sophisticated decision-making process within. This column spotlights the importance of #security in the smart #Internet_of_Vehicles paradigm, and the integration of #Blockchain and #Artificial_Intelligence for acquiring safety on the road by investigating in an #Edge-based architecture that benefits from the decentralized authority and network topology of a hybrid Blockchain in order to leverage highly accurate decision models. Challenges and future directions of such a combination are listed and discussed in the following article.
The full paper is available from:
https://www.researchgate.net/publication/340999407_AI_Blockchain_and_Vehicular_Edge_Computing_for_Smart_and_Secure_IoV_Challenges_and_Directions
The document provides an overview of Internet of Things (IoT) in the development of smart cities. It discusses key concepts of IoT such as connectivity of devices, communication protocols, and data management challenges. The document also outlines several applications of IoT in smart cities including smart energy grids, transportation, healthcare, infrastructure, and environmental monitoring. It proposes a framework for distributed data processing and privacy preservation in IoT using techniques like data minimization, access control, and encryption.
This document describes a proposed system for an online customizable electric cycle (e-cycle). It discusses:
1) Developing a web application that allows users to customize and order an e-cycle, selecting different battery, motor, and part options.
2) Designing the e-cycle to include sensors that monitor speed and battery level displayed on an LCD screen, and use ultrasonic sensors to detect obstacles and stop the cycle if needed.
3) Connecting the e-cycle components like sensors and battery to an Arduino, and using a Node MCU WiFi module to transmit data to an IoT platform where users can track the cycle's location, speed, and battery status through an application.
IRJET - OR-DEV System (On Road Dynamic Charging for Electric Vehicles)IRJET Journal
This document summarizes a research paper on a proposed wireless charging system for electric vehicles called OR-DEV (On Road Dynamic Charging for Electric vehicles). It introduces an inductive wireless charging lane for EVs with embedded coils that would allow continuous charging of EVs as they drive on the roadway. The system aims to address limitations of traditional electric charging by reducing charging times and not requiring EVs to stop for charging. It presents the background on electric vehicles and motivation for dynamic wireless charging. The system architecture and initial simulation results showing high charging efficiency are summarized. The document also reviews related work on wireless charging systems and discusses how the proposed system could increase EV mileage and reduce waiting times for charging.
Similar to Big data analytics of ev charging stations (20)
Impact of cryptocurrency on Economy - India and Global. This has been taken from several online sources. References mentioned at the end of the article. A cryptocurrency is digital money in an electronic payment system in which payments are validated by a decentralized network of system users and cryptographic protocols instead of by a centralized intermediary (such as a bank).
Money serves three interrelated economic functions: it is a medium of exchange, a unit of account, and a store of value. Without it, people would have to engage in a barter economy, wherein people trade goods and services for other goods and services.
There are speculations on whether cryptocurrency will be more efficient and secure than existing money systems or if it can effectively act as money and achieve widespread use. However, that is the not primary focus of the article.
Bitcoin is a cryptocurrency. It is a decentralized payment system and kept alive due to the technology called Blockchain. These are peer-to-peer transactions. These transactions are verified by using a cryptography technology bank. Chain technology keeps the record of the distributed ledger. Bitcoins can be earned as a reward through mining. This currency can be convertible into other currencies, products, and services. Bitcoin has been emerging as a famous digital currency and popularity all over for quick transition. Moreover, bitcoin will be an economic asset because it has profitable results. The purpose of this research study is to explain the complete working of bitcoins technology, applications, and research challenges to be addressed, and the current future international market scope of Bitcoin technology.
Bitcoin was proposed by Satoshi Nakamoto on 31st Oct 2008. It is the pseudonym used by an individual or a collective group of people. In January 2009, the First open-source Bitcoin client was released and the bitcoin network came into existence. Satoshi Nakamoto is an inventor of bitcoin, and blockchain technology. All through it’s a false name. This is how he introduced himself to the internet. Unfortunately, many people think that because Satoshi Nakamoto has invented Bitcoin and the Blockchain technology, he is the owner of those too. The reality is that Satoshi Nakamoto has neither control over the Blockchain nor bitcoin. Therefore, it really doesn’t matter who Satoshi Nakamoto is.
Blockchain is a technology, and its first function was on the platform named bitcoin. Bitcoin is Blockchain. However, Bitcoin itself is only a cryptocurrency that is capable of replacing fiduciary currency. Nevertheless, not that many people will like the idea at first.
Bitcoin cryptocurrency power point presentation.
Bitcoin is a cryptocurrency. It is a decentralized payment system and kept alive due to the technology called Blockchain. These are peer-to-peer transactions. These transactions are verified by using a cryptography technology bank. Chain technology keeps the record of the distributed ledger. Bitcoins can be earned as a reward through mining. This currency can be convertible into other currencies, products, and services. Bitcoin has been emerging as a famous digital currency and popularity all over for quick transition. Moreover, bitcoin will be an economic asset because it has profitable results. The purpose of this research study is to explain the complete working of bitcoins technology, applications, and research challenges to be addressed, and the current future international market scope of Bitcoin technology.
Connected cars are the future. A future where two broadly different fields come together i.e. Automotive Engineering (Mechanical Engineering) and Computer Science Engineering. The paper which has been used as a base for the review is “An empirical study on real-time data analytics for connected cars: Sensor-based applications for smart cars”. The article has been taken from the base paper:""An empirical study on real-time data analytics for connected cars: Sensor-based applications for smart cars".This research optimizes the maintenance of these vehicles to make our lives even simpler by predicting device defects based on certain factors through trustworthy methods, thus, concentrating the step towards the future. Connected cars are vehicles that are always connected to networks through the convergence of automotive and information technologies. Services of connected cars can be categorized into the following four components, which are: Traffic Safety, Infotainment, Traffic Efficiency, Cost Efficiency. Field experiments were conducted to understand the mechanism of vehicle maintenance by collecting real-time sensor data from a commercial connected car platform for PHM. Specifically, the feasibility of PHM was investigated under the following conditions: Driving Condition, Vehicle Model, Vehicle Condition, Road Accidents, and Driver's speeding propensity. This research proves that sensing data have an enormous range of applications in extended fields such as connected cars. Real-time data collection technologies show possibilities of real-time prognosis of connected cars. This research is the first of its kind to perform prognostics and detect driver behavior using a sensor-based approach simultaneously. This experiment also confirms the feasibility of the Business to Consumer (B2C) PHM service for connected cars.
A report on designing a model for improving CPU Scheduling by using Machine L...MuskanRath1
Disclaimer: Please let me know in case some of the portions of the article match your research. I would include the link to your research in the description section of my article.
Description:
The main concern of our paper describes that we are proposing a model for a uniprocessor system for improving CPU scheduling. Our model is implemented at low-level language or assembly language and LINUX is used for the implementation of the model as it is an open-source environment and its kernel is editable.
There are several methods to predict the length of the CPU bursts, such as the exponential averaging method, however, these methods may not give accurate or reliable predicted values. In this paper, we will propose a Machine Learning (ML) based on the best approach to estimate the length of the CPU bursts for processes. We will make use of Bayesian Theory for our model as a classifier tool that will decide which process will execute first in the ready queue. The proposed approach aims to select the most significant attributes of the process using feature selection techniques and then predicts the CPU-burst for the process in the grid. Furthermore, applying attribute selection techniques improves the performance in terms of space, time, and estimation.
A review on power quality disturbance classification using deep learning appr...MuskanRath1
Disclaimer:- This has been published as an article for informational purposes and includes reference to the research papers of researchers. Please let me know if I haven't included your research which matches a portion of the article, in the reference section. I would include the link to your research in the description section.
Description:-
Power Quality is a significant branch of power system engineering and plays a crucial role in maintaining the power quality supplied to consumers in the industry. The introduction of smart grids further differentiates the significance of power output. A single incident in power quality such as voltage drop triggered by a transmission or distribution level failure will cost up to millions of monetary losses for the affected industries. Power Quality disturbances can be classified into Voltage sag, Voltage Swell, Transient, Harmonic, Voltage Notch, and Flicker. With the help of digital techniques, at present, Power Quality disturbances are tracked on-site and online. The primary objective of the paper is to provide a thorough overview of the approaches in deep learning for the automatic detection, identification and classification of Power Quality Events, related to academics following a line of investigation in the related area. The paper furthermore gives insight on which of the techniques yields the highest accuracy.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
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4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
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Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
1. Big Data Analytics of EV Charging
Stations in India
Muskan Rath
Department of Computer Science and Engineering
International Institute of Information Technology,
Bhubaneswar
Email Id: b517022@iiit-bh.ac.in
Abstract—In recent times, the scientific community has
been collecting substantial data from various experiments and
analysis to extract relevant information from it. This information,
primarily obtained from diverse outlets, multidimensional and
unstructured in design, refers to Big Data. At present, it has
played a pivotal role in areas of research like IOT which includes
sub-areas like Smart Grids, Hybrid Vehicles, Electric Vehicles,
etc. However, the major challenge faced by Big Data today is
to handle the vast volume of data of a wide variety; possessing
high data transmission rate; produced by devices, automobiles,
establishments, power grids, and many other things connected to
the Internet. Of the areas related to IoT, smart grid and electric
vehicles also come across the challenge of handling large and
varied datasets, as they produce and consume Big Data, by pro-
ducing databases for the same entity, creating copies of the same
and passing it along to the other systems. Henceforth, there is an
incredible need to look at the created information to reveal data
like concealed models, obscure connections, advertise patterns,
and client inclinations that can empower associations (Govt. or on
the other hand Private) to settle on educated choices. The study
and systematic retrieval of this information is a Herculean task
as performed by conventional application software for processing
data. Thus, Big Data Analytics is a necessity for EVs. The
current analysis paper discusses the applications of big data and
its methods in harnessing the data produced from EVs,drivers,
charging stations and infrastructures.In electric vehicles, we can
get data from various sources like sensors and travel records.
We would then use big data techniques to analyse this data. The
analyzed data is used to plan ideas and policies for positioning
of charging stations, smarter charging mechanisms, addressing
energy management problems, and assessing the ability of power
delivery networks to accommodate additional loads. Meanwhile,
we would also look at the market cost of the services provided
by EVs (i.e. V2G opportunities). This paper will primarily focus
on big data analytics strategies for EV Charging Stations.
Index Terms—Big Data Analytics, Electric Vehicles
(EVs), EV Charging Stations, Smart grid
I. INTRODUCTION
Today, individuals and systems use the network
in this age, having an exponential and tremendous size of
information, measured in Exabyte (EB) and Petabyte (PB). By
2025, the forecast is that the Internet will outperform the brain
size of people living in the entire world. This firm development
of information directly results from advances in computed
sensors, calculations, correspondences, and capacity that have
made the enormous scale of information. Roger Magoulas,
an analyst, contrived the name Big Data to portray this
peculiarity. Gartner Company expressed that information will
be the 21st-century oil. Over the most recent 25 years, it has
developed enormously in different fields with unmistakable
sorts. As shown by the measurable report of International Data
Corporation (IDC), in the year 2011, the general volume of
the information made on the planet was 1.8ZB that improved
by almost multiple times in the following five years.
As per the groundbreaking analysis by International Data Cor-
poration ( IDC) on ”The Virtual Universe of Opportunities,”
in 2013 the commonly produced and duplicated quantity of
data was 4.4 zettabytes (ZB).The amount of data is doubling
at regular intervals so by 2020 the overall output would
outperform 44 ZB (44 trillion GB). Other than the volume, the
rate at which information is collected straightforwardly results
from the advances in correspondence developments and IoT.
These giant datasets with top speed, precision represent the
Big Data phenomenon [1, 2]. Despite the associated complex-
ities, the paramount aim of the analysis is to explore these
details without missing valuable knowledge. One approach to
performing such an analysis is to break it into tiny subsets and
apply statistical techniques to every sample. Data visualization
and analytics is yet another approach that allows grasping
these data comprehensively [3]. Subsequently, it is significant
that we derive this information from repositories, change it
into reasonable structures, prepare it for storage, and handle
it for investigation in order to effortlessly and accurately
interpret it through media like outlines, tables, maps, plots,
dashboards, etc settling on effective, educated choices. Data
Analytics pertains to core IoT users, such as Smart Grids and
Electric Cars, because they comprise the wide spectrum of
connected devices and enormous associated system of things,
such as automobiles, charging points, savvy electronic meters,
intelligent electronic devices (IEDs) and phasor measurement
units (PMUs). We likewise foresee them to be the driving
force behind green smart cities by empowering the proficient
combination of the sustainable power source and lower dis-
charges. The urban smart city envisions nearly all level sur-
faces, including sidewalks, lined with solar panels to optimize
the usage of solar resources [4]. Electric vehicles, including
Plug-in Hybrid Electric Vehicles (PHEVs) and battery electric
vehicles (BEVs), are promising choices to supplant Internal
Combustion Engine (ICE) vehicles to diminish energy depen-
dence, lower GHG discharges, and improve urban air quality.
2. As a major aspect of the endeavours to increment urban
sustainability, many nations have defined objectives for electric
vehicle adoption [5]. EVs assume a significant job to expand
energy security and to diminish emanations of ozone-depleting
substances and different contaminations. A crucial component
of technology for the future is wireless connectivity, where
individual transportation mutates to locomotion as a facility.
We acknowledge the fact that alternative energy for sustainable
growth is clean energy as a global advantage amid a severe
energy crisis. The production of such a resource is eco friendly
and is thus the primary choice for several nations around the
globe, such as the US, Japan, and Europe, and thus EVs are a
means of protecting the environment and addressing the essen-
tial question of the national grid. Therefore, the fundamental
strategy in many nations at present is to accomplish workable
transportation to address future vitality. By 2025, Navigant
Research predicts that over 1.2 billion automobiles worldwide
would be related to their surroundings and/or to one another by
embedded or distributed communications systems. The electric
vehicle requires a charging station, so we need to choose
its location carefully. EVs are plugged into charging stations
so that the batteries obtain electrical energy. These technolo-
gies would provide drivers with security warnings and real-
time traffic reports at a baseline; the more sophisticated and
completely integrated systems will enable semi-autonomous
driving systems. At present this form of interconnection is
important for EVs, having navigation systems that make a
driver aware of the available charging stations and monitor the
status of battery charging. EVs include hundreds of sensors,
including user drive behaviour, battery protection through the
Battery Management System (BMS), and charging station for
grid management. Drivers bring smart devices and wearables
contributing to road info. EVs manufacturing, the number of
e-vehicles in India is rising at 37.5 [6]. By 2030, India is
hoping to become a 100 percent EV country. However, the
availability and affordability of charging facilities in India
are a major obstacle in the growth of EVs envisioned by
SMEV. Despite this context, the goal is to access the economic
feasibility of EVs and the facilities needed for them. At least
one electric motor, using refillable electrical energy batteries
can drive the EVs. Moment torque is given by engines to
EVs, creating proficient and consistent increasing speed. From
an efficiency and environmental point of view, EVs are more
advanced technology than internal combustion engine vehicles
[7]. Hence, we propose to study the role of charging stations
in smart cities along with its policy.
II. LITERATURE REVIEW
This segment discusses the research on the signif-
icance of Electric Vehicle charging stations and role of big
data. Based on the literature, we define particular activities
taken around the world to encourage public recognition and
knowledge of charging stations for EVs. Lack of readily ac-
cessible charging facilities is, however, one pressure affecting
India’s EV industry. India’s government has recently begun
taking several steps to build safe and conveniently accessible
charging stations. Selecting the location for building charging
stations for EVs is necessary to ensure the acceptance of
EV and also to resolve some associated dangers such as
battery expenses and exhaustion, monetary perils, absence of
charging facilities, hazardous upkeep of EVs, problems with
its incorporation into a smart grid, range anxiety, auxiliary
loads and motorist attitude. Contingent upon the separation
went by EVs (in km) we have grouped EV charging stations
into three classes: Level 1 charging station, Level 2 charg-
ing station, and DC quick charging station [8]. Unsuitable
position of charging stations can affect the smooth working
of the power grid, resulting in voltage fluctuations, reduced
power loss, harmonics, and lower reliability indices [9]. The
system suggested by “ELECTRIC VEHICLE CHARGING
STATIONS. Technical Installation Guide.”, is a guideline for
assessing Agartala City’s implementation of the EV charging
network. To do this, we study three fields:
1) Various styles of charging points,
2) styles of EVs,
3) types of batteries.
EV Charging Stations could gather and transfer operational
data to a central location, from where one can aggregate,
process and analyze the data and view the findings through ac-
tionable dashboards, and other features such as Scan, Anomaly
Detection, and REST-based APIs. These results will allow
station operators to gain valuable information to help them
enhance in unfamiliar areas of operations; besides delivering
timely and meaningful data of great value to end-users. Here
we would apply Adaptive Particle Swarm Optimization to
address the complex issue. Beijing used the aforementioned
technique via a network of roads. Bendiabdellah et al. raised
the issue of allotting charging stations for the city of Cologne
in Germany [10]. The situations for the siting of charging
stations are determined in the principal stage by using a proba-
bilistic technique fixated on the Bayesian system [11]. Present
research models the issue of charging station positioning in
various cities in India. India has a host of smart cities to come.
In the upcoming future, a significant number of EVs will be
stationed on the roads of such cities. There would likewise
be a requirement for a dependable charging framework. High
traffic density alongside low network firmness makes it hard
to track down loader areas. Our paper presents approaches,
apparatuses, and execution markers to discover ideal loader
areas, considering both the traffic and the electrical matrix. It
proposes a two-phase model for the portion of the charging
station. In the main stage, the candidate areas for charging
focuses are recognized by another technique for the Bayesian
system. In the subsequent level, it completes wanting to pick
the correct destinations, the type of charging stations, and the
measure of charging focuses at the charging stations. The size
of the road network nodes from the closest bus of the delivery
network, the traffic volume, and the reliability of the grid
are considered crucial considerations for the position of the
charging stations. It uses the ability of the Bayesian network to
3. cope with confusion and contact between events in the current
research. The second period of the proposed arranging model
incorporates deciding the appropriate situations for charging
stations(p) from the candidate areas (pc), the all out number
and the measure of quick/slow charging stations. The area
issue is planned as a multi-target cost advancement issue, VRP
file, ease of use file, and hanging tight period for charging
stations as minimisation or augmentation capacities. The third
objective function is the accessibility of charging stations. In
order to measure accessibility, the distance matrix and the
shortened distance matrix is calculated first. It is troublesome
for EV car drivers to wait in the charging stations for a
long time. The aim of optimization is therefore to reduce the
waiting period. The waiting period in the loading points is
based on the M / M / c queuing principle. A multi-target
cross breed CSO-TLBO calculation acquainted was utilized
to tackle the streamlining issue. Charging stations must not
only be sufficiently widespread for the electrical grid to easily
reach a charging station in its driving range but should be
widely dispersed so that the electrical transmission systems
can cover the entire city after recharging. So, we drafted the
Electric Vehicle Charging Station Placement Problem based
on these fresh perspectives [12]. We then address EVCSPP by
the suggested four methods (Iterative Hybrid-Integer Linear
Program, Greedy Method, Effective Hybrid-Integer Linear
Program, Chemical Reaction, The Optimization of Chemical
Reactions). Taylor Haw et al. introduced a charging station
having a key-initiated controller for the charging cycle [13].
A magnetic Swipe Card, a data storage device (for example,
ROM), or an electronic tag (for example, an RFID tag) may
form part of the electronic key. A transmitter to relay a signal
to a transponder or a Radio Frequency Identification (RFID)
tag can be given to the charging station. To receive a signal
transmitted from a transponder or RFID tag, it may provide
the charging station with a receiver. Thus, the charging station
may challenge a transponder or RFID tag to automatically
enable the controller to get user information, such as account
details. To augment the EV traffic stream that can be charged
under the up-and-comer plan of the EV charging stations,
a battery limit confined EV stream catch area model was
proposed [14]. A case study comprising a distributive system
with 33 nodes and a traffic network system with 25 nodes
was performed to show the efficacy of the proposed process.
[15] provides a multifunctional design model that involves
a complete configuration of the charging station for EVs
that takes into account factors like sustainable production
of EVs, characteristics of charging station, market dynamics,
retail demand, power grid, and urban planning factors. The
question of positioning at charging stations worried researchers
around the globe. Deb et al. in [16] analyzed different facets
of network charging strategy, such as the global scenario,
modelling methods, goal roles, and constraints. He developed
the question of the location of charging stations taking into
consideration just the transport network [10]. In “A Survey
on Energy Internet: Architecture, Approach, and Emerging
Technologies”, Liu et al. regarded building costs and operating
costs as the primary roles in their formulation, together with
the charging requirement as a limitation. In [17] Wei et al.
created the multi-level input queue, an automated charging
pattern. Our model uses grid demand data, data from the
station charging, data from the EV generator, data from the
customer, and data from a central delivery network. We would
suggest processing data in parallel, using MapReduce over the
Hadoop frame to accommodate the vast volume of data from
varied sources. To overcome the dynamic problem, Adaptive
Particle Swarm Optimization (APSO) can be implemented.
In [18], Tu et al. proposed paying facilities for the road
network of the city of Shenzhen in China. Maximizing the
driving time of the EVs and reducing waiting time at the
charging stations are primary features. The range of EVs is
the limitation of the design framework. Implementation of the
GA has overcome the allocation issue. In [19], the question
on the locations of charging stations has been devised by
examining only distribution networks. A statistical model is
provided in [20] for forecasting demand for EVs charging
focused on big data technology, taking into consideration real-
world traffic flow details as well as environmental factors
in projecting the market for charging EVs. Additionally, the
chronicled traffic information and climate information of South
Korea were utilized to figure the forecasting model, which
incorporates a group examination to arrange traffic designs,
a social investigation to distinguish influential factors, and a
decision tree to build up classification criteria. The factors
included in this analysis were the beginning period for charg-
ing, defined by the real-world traffic conditions and the initial
battery charging condition. Model contextual investigations for
electric vehicle charging were introduced during weekdays
and ends of the week in summer and winter were introduced
to show the distinctive charging load profiles of EVs in
the private and business locales. The introduced forecasting
model may permit power framework specialists to envision
electric vehicle charging requests dependent on recorded traffic
information and climate information. Along these lines, the
proposed electric vehicle charging request model can be the
establishment for the exploration of the effect of charging EVs
on the force framework in India too.
III. RESULT AND DISCUSSIONS
In outline, the EVs need fast, successful Data An-
alytics philosophies to associate continuously with the savvy
lattice and the shrewd city. Versatile edge processing innova-
tions will support those techniques. Security and protection
concerns heighten with the brought together exchange of EV
information through different EVs. Among all the techniques,
we found that the one recommended by the paper [20] is the
most suitable strategy. Paper [20] proposes a program to decide
an EV charging demand whose specific structure configuration
relies upon MATLAB worked in limits. The particular plan
of this application contains four components, including data
sources, data storage, management, data handling.A local plate
4. on the PC takes care of the data sources at the fundamental
level.. These snippets of data are collections of plain substance
records, made up of chronic traffic data, atmosphere data
from various avenues in South Korea assembled conflictingly.
The MATLAB data store work redoes the wide assortment
of data put away. This can be implemented in India. Such
capacity to enter the information varieties from the funda-
mental layer which can gracefully subtleties for energetically
productive presentation to basic data irregularly keenly. This
contains the individual road’s traffic insights and temperature
measurements. The third layer manages the past layer of
information put in a safe spot. MATLAB’s Map Reduce work
can perform calculations on immense data groupings, hence,
is the reason for this technique. This limit has three phases:
map stage, widely appealing stage, and diminishing stage. A
piece of data enters the guide stage, which masterminds this
data for taking care of. By then, the midway data is in the
decrease stage, which joins the widely appealing and makes
the last outcome. It merges the moderate results to deliver an
indisputable outcome. This examination used the guide work
that structures set aside traffic flow data and atmospheric de-
tails in the optimal partnership with data processing.Then, the
transitional data encounters the decrease stage, which unites
the widely appealing outcomes to make a convincing result.
In Paper [19], the researchers rejected moderate stage and the
diminish stage from this assessment considering how a specific
road was if perused for predicting Electric Vehicle charging
demand to abstain from joining similar data. The distinction
for a solitary road is definitely not an immediate result of
the count of the effectiveness of the new Electric Vehicle
charging demand structure, however, of the compelled space
for this article. Regardless, it is important to recollect these two
stages to assess the interest for EV charging in exceedingly
muddled road cases, which are beyond this article. The line of
subtleties will contain the day of the year, and the subtleties
area would include the hour of the day. Data incorporates
traffic stream, climate, tenacity, wind speed and style of day.
The last layer shapes this information to depict the Electric
Vehicle charging demand measuring structure and coordinates
the accompanying advances: a gathering assessment, a social
examination and a choice tree. The starting phase to deal with
data produced is to apply an AI method to recognize customary
traffic instances of recorded traffic details. The accompanying
stage is identifying components to develop a decision tree for
determining the model approach for electric vehicle charging.
They chose the examination gage days for fleeting dissects to
foresee the Electric Vehicle charging request during working
days and ends of the week in winter and summer and the
Electric car charging requirement in summer and winter across
these four particular days. They expected the accompanying
arrangements:
(1) Charging electric vehicles once every day either in the
working climate during the day or at home during night time
with a humble charge rate.By and by we can charge an electric
vehicle all the time either at their transport stations or in their
diverse, high-charging parking structures;
(2) the Gussian traffic, which relies on the predetermined
traffic models decides the starting period for charging electric
vehicles
(3) In examination, the hidden SOC for half and half ve-
hicles expect a Gaussian movement before charging, while
the basic SOC for an ordinary vehicle before charging is
0.20. They detached the solicitation for charging into two
parts, including business and private goals. They treated the
confidence in electric vehicle charging at home as Electric
Vehicle charging charges in private goals. Electric vehicles
charged in the working environment and in their particular
leaving regions, transport stations reflected charging their costs
in the organization premises. They charged high EV charging
requests during night time at home because of the substantial
congestion of electric vehicles all over town at the end of the
week during the daytime. They accounted for most extraordi-
nary calls for charging during the non-functional hours. The
daytime charge on a working day in winter is more prominent
than that during evening. Also, the daytime charging is a
necessity as there are different segments of EVs charged at the
work environment and electrical transportation charged at the
daytime transportation stations. The suggested EV charging
request envisioned as a model could help in the assessment
on the impact of EV charging demand on the smart grid.
Furthermore, this application checking model may empower
efficient chairmen to later build up the activity and age profiles
on power frameworks by foreseeing the EV charging demand
in both private and public goals. Similarly, it will add to the
choice of forecast and activity plans for adaptable EV charging
structures subject to EV charging demands in different Electric
Vehicle Charging Stations in India.
IV. CONCLUSION AND FUTURE SCOPE
We recognize that alternative energy for sustainable
growth is clean energy as a global advantage amid a severe
energy crisis. The creation of such an asset is without con-
tamination and is in this manner the principal choice of a few
nations around the globe, for example, US, Europe and Japan
and in this way, the production of EVs is a method of securing
nature and of tending to the basic inquiry of national network
arranging. Some of the problems confronting the EV charging
industry can be resolved by allowing the Internet of things-
enabled stations – that is, by instrumenting and integrating
them into the Internet. Battery technology will be a crucial
factor for e-vehicle development in India. There are several
opportunities for accelerated growth in the IoT market in the
Smart Grid field and in the EV Charging business in particular.
Rightly, IoT data analysis produced by EV Charging Stations
will dramatically change the economics of the service of such
stations–and thereby eliminate main obstacles that impede
their acceptance in the large marketplace. The government
must play a significant role here because it needs to find
out policies and resources for the indigenous development of
Li-ion batteries. This would enormously diminish the battery
5. cost, as the vast majority of the batteries as of now being
used are imported. Indian Oil has marked a Memorandum of
Understanding (MoU) with Israel on innovative work for other
metal-air batteries that can decrease foundation needs by half.
This will help both the buyer and the seller ease up on the
initial investment. In order to attract investors to manufacture
e-vehicles and set up charging stations, the Indian government
plays a vital part here. A longitudinal study is required as
the electric vehicle population increases/battery technology to
better analyze the infrastructure requirement.
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