Explore this guide to know more about how you can predict the future of your batteries and apply predictive maintenance systems for battery protection.
Condition-based Maintenance with sensor arrays and telematicsGopalakrishna Palem
Emergence of uniquely addressable embeddable devices has raised bar on Telematics capabilities. Sensor based Telematics technologies generate volumes of data that are orders of magnitude larger than what operators have dealt with previously. Real-time big data architectures enable real-time control and monitoring of data to detect anomalies and take preventive action. Condition-based-maintenance, usage-based-insurance, smart metering and demand-based load generation are some of the predictive analytics use cases for Telematics with real-time data streaming. This paper presents indepth analysis of condition-based maintenance using real-time sensor monitoring, Telematics and predictive data analytics.
CONDITION-BASED MAINTENANCE USING SENSOR ARRAYS AND TELEMATICSijmnct
Emergence of uniquely addressable embeddable devices has raised the bar on Telematics capabilities.
Though the technology itself is not new, its application has been quite limited until now. Sensor based
telematics technologies generate volumes of data that are orders of magnitude larger than what operators
have dealt with previously. Real-time big data computation capabilities have opened the flood gates for
creating new predictive analytics capabilities into an otherwise simple data log systems, enabling real-time
control and monitoring to take preventive action in case of any anomalies. Condition-based-maintenance,
usage-based-insurance, smart metering and demand-based load generation etc. are some of the predictive analytics use cases for Telematics. This paper presents the approach of condition-based maintenance using
real-time sensor monitoring, Telematics and predictive data analytics.
Condition-based Maintenance with sensor arrays and telematicsGopalakrishna Palem
Emergence of uniquely addressable embeddable devices has raised bar on Telematics capabilities. Sensor based Telematics technologies generate volumes of data that are orders of magnitude larger than what operators have dealt with previously. Real-time big data architectures enable real-time control and monitoring of data to detect anomalies and take preventive action. Condition-based-maintenance, usage-based-insurance, smart metering and demand-based load generation are some of the predictive analytics use cases for Telematics with real-time data streaming. This paper presents indepth analysis of condition-based maintenance using real-time sensor monitoring, Telematics and predictive data analytics.
CONDITION-BASED MAINTENANCE USING SENSOR ARRAYS AND TELEMATICSijmnct
Emergence of uniquely addressable embeddable devices has raised the bar on Telematics capabilities.
Though the technology itself is not new, its application has been quite limited until now. Sensor based
telematics technologies generate volumes of data that are orders of magnitude larger than what operators
have dealt with previously. Real-time big data computation capabilities have opened the flood gates for
creating new predictive analytics capabilities into an otherwise simple data log systems, enabling real-time
control and monitoring to take preventive action in case of any anomalies. Condition-based-maintenance,
usage-based-insurance, smart metering and demand-based load generation etc. are some of the predictive analytics use cases for Telematics. This paper presents the approach of condition-based maintenance using
real-time sensor monitoring, Telematics and predictive data analytics.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
AI revolutionizes predictive maintenance by leveraging machine learning algorithms to analyze data from sensors, predicting equipment failures before they occur. This proactive approach enhances efficiency, reduces downtime, and optimizes maintenance schedules, leading to substantial cost savings. AI's role in anomaly detection and predictive analytics transforms traditional maintenance practices, ensuring businesses stay competitive in an ever-evolving industrial landscape.
Design and Implementation of Car Black box for Evidence Collection System to ...IJMTST Journal
The vehicle accident is a major public problem in many countries. It is occurred due to rider's poor
behaviors, Vehicle bad condition, bad weather situation and opposite vehicle mistakes. To predict those
situations block box concept is introduced. The concept of the Car Black Box is similar to the Flight block box
concept, which is stores the vehicle condition such as engine temperature, speed, CO2 content, it also checks
the car present condition before ignition the vehicle, brake condition, seat belt and also introduce the
automatic speed controller to avoids crashing between the vehicles. It is a low cost system which provides
solution to the existing automotive control systems. And it also monitors the vehicle current condition on
Display of LCD. The design selects ARM 7 as embedded controller, UART ( Universal Asynchronous Receiver
Transmitter) is the common peripheral found on microcontrollers widely used for communication with the
external devices and systems, I2C (Inter-Integrated Circuit) for on-board communication.
Advanced control systems in two wheeler and finding the collision site of the...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Advanced control systems in two wheeler and finding the collision site of the...eSAT Journals
Abstract In the earlier days, vehicles such as Motorbikes hardly had Mechanical support in all concerns, in the recent past the development in Electronic devices in Motorbikes are evolving, with components such as E-breaks, Digital speedometers, etc. and most interesting from an engineering point of view, dealing with motorcycle dynamics is more complex than it is for four wheeled vehicles. In four-wheeled vehicles, electronic stability control (ESC) was introduced in the recent past to improve passengers’ safety in critical driving conditions and it is now part of most commercial cars. For two-wheeled vehicles, the design of such a control system is an open problem, and it constitutes quite a challenging task due to the complexity of two-wheeled vehicles dynamics and to the strong interaction between the vehicle and the driver, so to encourage this scheme I am Designing an advanced electronic active stability control system with ABS assistance for e-bikes providing the much needed vehicle roll stability control in situations such as high speed cornering etc. Designing a system that, in any case of emergency situation such as crashing, will send the bicycle accident location to nearby hospitals/emergency services with the assistance of GSM Keywords- Antilock Breaking System (ABS), Electronic Stability Control (ESC), Degree of freedom (DoF), Micro Electro Mechanical System (MEMS)
IoT Based Battery Management System in Electric Vehicles.pdfKaty Slemon
Explore India's most advanced cloud platform- IONDASH, responsible for monitoring the performance of battery management system in electric vehicles.
Condition Monitoring of DC Motor using Artificial Intelligence Techniqueijsrd.com
The complexity of most steel industry always tends to create a problem in monitoring and supervision system. Prompt fault detection and diagnosis is a best way to handle and tackle this problem. Dc motor plays a very vital role in steel industry and there is a strong demand for their reliable and safe operation. The history of fault diagnosis and protection of electrical machines is as old as such machines themselves. However, nowadays, condition monitoring of electrical machines has become increasingly essential. It plays a very important role in their safe operation and helps to avoid heavy production losses in industry. The conditioning monitoring and fault-detection techniques of electrical machines have moved in recent years into artificial intelligence techniques. When an artificial intelligence technique is used, fault detection and evaluation can be accomplished without an expert. In this paper, artificial intelligence (AI) techniques are used to build a condition monitoring system that has incremental learning capabilities. The condition-monitoring of dc motor using AI technique schemes have concentrated on sensing specific failure modes in field windings.
Choose the Right Battery Management System for Lithium Ion Batteries.pdfKaty Slemon
Find out how to choose the right battery management system for lithium ion batteries by analyzing key parameters like voltage, current, and BMS architecture.
Fleet management systems monitor different kinds of motor vehicles such as cars, vans, trucks, aircraft, ships, and rail cars. Managing a fleet of vehicles is a challenging task. Fleet Management System Or Enterprise Asset management system allows companies to remove or minimize the risks associated with vehicle investment and improve efficiency, productivity, and compliance with government legislation.
Are you looking to deploy new technologies and innovative solutions for Asset Management or Field Service? Contact us for a detailed presentation on IoT, Asset Management, or Field service.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
AI revolutionizes predictive maintenance by leveraging machine learning algorithms to analyze data from sensors, predicting equipment failures before they occur. This proactive approach enhances efficiency, reduces downtime, and optimizes maintenance schedules, leading to substantial cost savings. AI's role in anomaly detection and predictive analytics transforms traditional maintenance practices, ensuring businesses stay competitive in an ever-evolving industrial landscape.
Design and Implementation of Car Black box for Evidence Collection System to ...IJMTST Journal
The vehicle accident is a major public problem in many countries. It is occurred due to rider's poor
behaviors, Vehicle bad condition, bad weather situation and opposite vehicle mistakes. To predict those
situations block box concept is introduced. The concept of the Car Black Box is similar to the Flight block box
concept, which is stores the vehicle condition such as engine temperature, speed, CO2 content, it also checks
the car present condition before ignition the vehicle, brake condition, seat belt and also introduce the
automatic speed controller to avoids crashing between the vehicles. It is a low cost system which provides
solution to the existing automotive control systems. And it also monitors the vehicle current condition on
Display of LCD. The design selects ARM 7 as embedded controller, UART ( Universal Asynchronous Receiver
Transmitter) is the common peripheral found on microcontrollers widely used for communication with the
external devices and systems, I2C (Inter-Integrated Circuit) for on-board communication.
Advanced control systems in two wheeler and finding the collision site of the...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Advanced control systems in two wheeler and finding the collision site of the...eSAT Journals
Abstract In the earlier days, vehicles such as Motorbikes hardly had Mechanical support in all concerns, in the recent past the development in Electronic devices in Motorbikes are evolving, with components such as E-breaks, Digital speedometers, etc. and most interesting from an engineering point of view, dealing with motorcycle dynamics is more complex than it is for four wheeled vehicles. In four-wheeled vehicles, electronic stability control (ESC) was introduced in the recent past to improve passengers’ safety in critical driving conditions and it is now part of most commercial cars. For two-wheeled vehicles, the design of such a control system is an open problem, and it constitutes quite a challenging task due to the complexity of two-wheeled vehicles dynamics and to the strong interaction between the vehicle and the driver, so to encourage this scheme I am Designing an advanced electronic active stability control system with ABS assistance for e-bikes providing the much needed vehicle roll stability control in situations such as high speed cornering etc. Designing a system that, in any case of emergency situation such as crashing, will send the bicycle accident location to nearby hospitals/emergency services with the assistance of GSM Keywords- Antilock Breaking System (ABS), Electronic Stability Control (ESC), Degree of freedom (DoF), Micro Electro Mechanical System (MEMS)
IoT Based Battery Management System in Electric Vehicles.pdfKaty Slemon
Explore India's most advanced cloud platform- IONDASH, responsible for monitoring the performance of battery management system in electric vehicles.
Condition Monitoring of DC Motor using Artificial Intelligence Techniqueijsrd.com
The complexity of most steel industry always tends to create a problem in monitoring and supervision system. Prompt fault detection and diagnosis is a best way to handle and tackle this problem. Dc motor plays a very vital role in steel industry and there is a strong demand for their reliable and safe operation. The history of fault diagnosis and protection of electrical machines is as old as such machines themselves. However, nowadays, condition monitoring of electrical machines has become increasingly essential. It plays a very important role in their safe operation and helps to avoid heavy production losses in industry. The conditioning monitoring and fault-detection techniques of electrical machines have moved in recent years into artificial intelligence techniques. When an artificial intelligence technique is used, fault detection and evaluation can be accomplished without an expert. In this paper, artificial intelligence (AI) techniques are used to build a condition monitoring system that has incremental learning capabilities. The condition-monitoring of dc motor using AI technique schemes have concentrated on sensing specific failure modes in field windings.
Choose the Right Battery Management System for Lithium Ion Batteries.pdfKaty Slemon
Find out how to choose the right battery management system for lithium ion batteries by analyzing key parameters like voltage, current, and BMS architecture.
Fleet management systems monitor different kinds of motor vehicles such as cars, vans, trucks, aircraft, ships, and rail cars. Managing a fleet of vehicles is a challenging task. Fleet Management System Or Enterprise Asset management system allows companies to remove or minimize the risks associated with vehicle investment and improve efficiency, productivity, and compliance with government legislation.
Are you looking to deploy new technologies and innovative solutions for Asset Management or Field Service? Contact us for a detailed presentation on IoT, Asset Management, or Field service.
Similar to Adopting Predictive Maintenance Systems for Battery Protection.pdf (20)
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
2. Quick Summary:
It can be tough to know when a battery
failure may be knocking at your door. But,
what if we tell you that you can exactly
know when to prevent any failure or a
potential threat with the help of accurate
predictive maintenance systems?
Through this blog, we will share the best
practices on how you can predict the future
of your batteries and make predictive
maintenance systems for battery protection
a viable reality. Let’s begin!
4. Did you know that in the next 3 years, the
GOI (Government Of India) is planning to go
all-electric? Well, we are talking about the
government vehicles here. The execution of
this plan will ramp up the roadmap to
achieve net-zero emissions by 2070.
Certainly, the subsidization and the battery
swapping policies will supplement faster EV
adoption.
The changes toward sustainable mobility
solutions are beginning to strain the
transmission and distribution of energy
storage systems. Over the past couple of
years, there has been an increase in Battery
Energy Storage Systems (BESS) frequency
to manage and effectively distribute the
load of storing high-intensity batteries.
5. At the same time, the stakeholders in the EV
ecosystem like the OEMs and battery
manufacturers are considering putting their
efforts into creating the safest standards
and best practices for sustaining electric
vehicles in the long run. One of the most
promising ways to ensure that your battery
is safe and secured is by utilizing the right
predictive maintenance systems.
Let us explore in-depth all about predictive
maintenance systems for battery protection
and how they can assist a battery
manufacturer or an EV owner know their
battery’s health and ensuring the battery
pack’s safety.
7. Predictive maintenance for battery
protection precisely tells you the right
timing for undergoing battery maintenance
or troubleshooting operation. It collects
multiple varying data point inputs obtained
from the battery management system to
deduce accurate predictions for the battery
pack’s maintenance status.
You can either predict it manually or
prevent any incident, catastrophe, or
potential failure with the aid of IoT
applications employing cloud technology
and advanced machine learning algorithms.
8. Use your battery pack –
carefree.
With our smart Battery Management
System, you can save additional
maintenance costs for your energy storage
systems.
The researchers at the University of
Cambridge have analyzed that the power of
AI/ML to predict battery health is 10x times
more accurate than the industrial
standards. It is interesting to note that
predictive maintenance systems have
reported savings ranging from 30-40%
compared to reactive maintenance and 8-
12% over preventive maintenance.
9. When you choose the advanced predictive
maintenance systems for battery
protection, you know exactly when the
battery pack will reach its end of life, having
enough time for a replacement.
Here are some of the top benefits of
adopting this battery protection system:
10. Benefits of Predictive
Maintenance for Battery
Protection
1. Lesser downtime is required in
equipment maintenance.
2. Effective and optimal battery use till the
EOL (End-Of-Life)
3. Elimination of faulty cells.
4. Enhancing the overall battery progress
and sustainability
5. Minimal loss in productive hours
11. 6. Cost reduction in unwanted maintenance
and spare part replacement.
Let’s briefly discuss how you can
implement predictive maintenance systems
for battery protection.
Also Read:
IoT Based Battery Management System in Electric
Vehicles
13. To use predictive maintenance, the
analytics tools such as the IoT battery
management systems with an interactive
and user-friendly UI assists in ramping up
the shift towards these advanced
technologies enabling safer and more
efficient battery life.
14. Identify the critical components of the
battery pack which require undergoing
maintenance check.
Maintain a systematic record, keeping a
history of all the activities detected by
the battery management system.
Evaluate the current anomalies in the
existing set of battery activities, such as
temperature and voltage fluctuations in
idle state and during charging.
Carry out audits related to Process
Failure Mode Effect Analysis (PFMEA).
Classify different predictive
maintenance systems to select the
predictive maintenance technology
which matches the requirement.
You should consider the steps below before
performing a predictive maintenance run:
15. Worried about how to take
the next step towards
securing your battery pack
systems?
Get in touch with India’s most reliable BMS
manufacturers and suppliers to enable a
more safe and efficient EV experience
today!
17. IONDASH:
India’s most advanced cloud battery
management platform detects any
deviations from the normal functioning and
operations of the most valuable asset of
your electric car, the battery. IONDASH is
equipped with the most advanced
algorithms for battery storage risk
assessment.
18. This cloud analytics platform uses data
analysis and real-time normalization
techniques to help you know your battery
status. It facilitates remote mirroring and
location tracking for your connected
device(s) so that you can address any
potential threats preventing thermal
runaway or sometimes catastrophes.
IONDASH is at par with the battery storage
regulations and anticipates even the
smallest probabilities of situations
requiring maintenance support. This
reduces the overall cost of overhauling the
operations, saving time, effort, and
expenses in maintenance.
19. Key Features of IONDASH:
Accurate prediction and forecast help
you weed out the potential threats to
your energy storage systems, making
them more reliable and trustworthy.
Gone are the times when you would
have faced battery outages; with
IONDASH, you can operate your
systems 24*7 with better efficiency and
performance.
With remote mirroring and an alert
notification system, you can know your
real-time device status and the battery’s
SOC and SOH.
21. We can’t deny the fact that adopting
predictive maintenance systems for battery
protection requires an initial investment,
training of the personnel, and a change in
the ideology.
However, the value it brings to the table is
unmatched by the reasons not to go for it.
The future of battery management system
for electric vehicles depends on predictive
maintenance. And if you can predict your
EV battery pack’s future, then why
shouldn’t you?
