Survey on efficient plug in hybrid vehicle chargingeSAT Journals
Abstract
Our future depends upon the renewable energy sources. Since many years vehicles have relied on combustion fuel like oil and
diesel, which will create problem in near future as there are limited reserves of fossil fuels. Hence the most important fact is to
preserve energy. So, plug-in hybrid vehicle (PHEV) is good and effective solution for eco-friendly transportation system.
Therefore, in this paper a plug-in hybrid vehicle approach is presented along with portable solar panel mounted on it to charge
battery. As solar panel is less efficient, a new technique called external light trapping is presented. A 3D printed parabolic
concentrator is used for this purpose. It redirects reflected photons back to solar cells and hence due to multiple reflections its
power conversion efficiency increases. If in any case, battery run out of charge then to charge it mobile chargers (MC) are used.
An android application is developed to support PHEV mobility. It provides full support to driver through its various functions like
monitoring of battery, prediction of range it can travel with current battery state and its location. The mobile server based on
queuing approach determines design parameter for such mobile charging system. An NJN (nearest-job-next) strategy is used to
serve this purpose. In NJN, MC serves next closest PHEV when its current job is done. Moreover, driver can reserve charging slot
based on their availability. So, in short our main purpose is to reduce carbon dioxide emission and mitigate PHEV driver range
anxiety problem.
Keywords: Battery Charging, 3D Printed Parabolic Concentrator, Queuing Theory, Slot Booking, Plug-In Hybrid
Vehicle.
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.
Unification Requirements of Electric Vehicle Charging InfrastructureIAES-IJPEDS
By increasingelectric vehicles in numbers and getting the public attention,
availability, safety and accessibility of its charging infrastructure are key
factorsto users’ satisfaction. Charging infrastructure in electric vehicle
industry can have a role as an interface for exchanging information among
other components as well. Currently, lack of universality in electric vehicle
industry has caused anisolation in networks of electric vehicles. This
isolationwill cause difficulty in having an aggregated set of information
about electric vehicles and their consumption pattern. The paper reviews
current charging infrastructure and the possibility of providing universality
based on candidate protocols and technologies.
Adverse effects of fossil fuel burning and internal combustion engine vehicles have alarmed nations worldwide. Governments are taking steps to promote the use of Electric Vehicles due to less carbon emissions and to pacify the environmental issues. The added load of Electric Vehicles poses a threat to the existing grid which leads to instability of the grid. The problem of demand supply mismatching can be solved by integrating the renewable energy sources with Electric vehicle charging station resulting in bi-directional flow of power. Vehicle to Grid technology helps the utility with active and reactive power support by feeding power from battery pack to grid and vice versa. Vehicle to Grid describes a system in which electric vehicles, plug-in hybrid, fuel cells electric vehicles are connected to the power grid to provide high power, spinning reserves, regulation services etc. The perspective of this study is to evolve a smart charging schedule based on the load on grid, time of use of the EV and other factors in order to minimize cost of charging for electric utilities and EVs as well as promote profits to EV owners.
Survey on efficient plug in hybrid vehicle chargingeSAT Journals
Abstract
Our future depends upon the renewable energy sources. Since many years vehicles have relied on combustion fuel like oil and
diesel, which will create problem in near future as there are limited reserves of fossil fuels. Hence the most important fact is to
preserve energy. So, plug-in hybrid vehicle (PHEV) is good and effective solution for eco-friendly transportation system.
Therefore, in this paper a plug-in hybrid vehicle approach is presented along with portable solar panel mounted on it to charge
battery. As solar panel is less efficient, a new technique called external light trapping is presented. A 3D printed parabolic
concentrator is used for this purpose. It redirects reflected photons back to solar cells and hence due to multiple reflections its
power conversion efficiency increases. If in any case, battery run out of charge then to charge it mobile chargers (MC) are used.
An android application is developed to support PHEV mobility. It provides full support to driver through its various functions like
monitoring of battery, prediction of range it can travel with current battery state and its location. The mobile server based on
queuing approach determines design parameter for such mobile charging system. An NJN (nearest-job-next) strategy is used to
serve this purpose. In NJN, MC serves next closest PHEV when its current job is done. Moreover, driver can reserve charging slot
based on their availability. So, in short our main purpose is to reduce carbon dioxide emission and mitigate PHEV driver range
anxiety problem.
Keywords: Battery Charging, 3D Printed Parabolic Concentrator, Queuing Theory, Slot Booking, Plug-In Hybrid
Vehicle.
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.
Unification Requirements of Electric Vehicle Charging InfrastructureIAES-IJPEDS
By increasingelectric vehicles in numbers and getting the public attention,
availability, safety and accessibility of its charging infrastructure are key
factorsto users’ satisfaction. Charging infrastructure in electric vehicle
industry can have a role as an interface for exchanging information among
other components as well. Currently, lack of universality in electric vehicle
industry has caused anisolation in networks of electric vehicles. This
isolationwill cause difficulty in having an aggregated set of information
about electric vehicles and their consumption pattern. The paper reviews
current charging infrastructure and the possibility of providing universality
based on candidate protocols and technologies.
Adverse effects of fossil fuel burning and internal combustion engine vehicles have alarmed nations worldwide. Governments are taking steps to promote the use of Electric Vehicles due to less carbon emissions and to pacify the environmental issues. The added load of Electric Vehicles poses a threat to the existing grid which leads to instability of the grid. The problem of demand supply mismatching can be solved by integrating the renewable energy sources with Electric vehicle charging station resulting in bi-directional flow of power. Vehicle to Grid technology helps the utility with active and reactive power support by feeding power from battery pack to grid and vice versa. Vehicle to Grid describes a system in which electric vehicles, plug-in hybrid, fuel cells electric vehicles are connected to the power grid to provide high power, spinning reserves, regulation services etc. The perspective of this study is to evolve a smart charging schedule based on the load on grid, time of use of the EV and other factors in order to minimize cost of charging for electric utilities and EVs as well as promote profits to EV owners.
Electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging. The NG powered by the renewable energy sources (RES) of photovoltaic (PV) and wind energy. When the excess power produced by the renewable energy stored in the local energy storage unit (ESU) utilized during shortage power from the renewable sources. During the overloading of NG and demand of energy in ESU; the mobile charging station (MCS) provides an uninterrupted charging. The MCS provides an option for battery swapping and vehicle to grid feasibility. The MCS required to monitor the state of charge (SOC) and state of health (SOH) of the battery. Monitoring of SOC and SOH related to the various battery parameters like voltage, current and temperature. A laboratory prototype is developed and tested the practical possibility of EV to NG and Internet of things (IoT) based monitoring of battery parameters.
Electric vehicle (EV) charging station powered by the scattered energy sources with DC Nanogrid (NG) provides an option for uninterrupted charging. The NG powered by the renewable energy sources (RES) of photovoltaic (PV) and wind energy. When the excess power produced by the renewable energy stored in the local energy storage unit (ESU) utilized during shortage power from the renewable sources. During the overloading of NG and demand of energy in ESU; the mobile charging station (MCS) provides an uninterrupted charging. The MCS provides an option for battery swapping and vehicle to grid feasibility. The MCS required to monitor the state of charge (SOC) and state of health (SOH) of the battery. Monitoring of SOC and SOH related to the various battery parameters like voltage, current and temperature. A laboratory prototype is developed and tested the practical possibility of EV to NG and Internet of things (IoT) based monitoring of battery parameters.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.