Analysis of Electric Vehicle Battery Safety Enhancement Techniques Using Python

Abstract

<div class="section abstract"><div class="htmlview paragraph">Electric Vehicles numbers are increasing at a rapid pace in the Indian market. As per the different feedbacks from the customers and reports available in media, there is an increase in Electric Vehicle (EV) battery fire accidents. The same is because of increased EV numbers, malfunctioning of battery and improper handling of EV systems. EV industry is looking for a solution for preventing these mis happenings by using advanced safety technology. This includes improvement in existing safety system through advanced warning backed by artificial intelligence, programming tools using new computing languages such as Python, Java etc. In present work temperature which happens to be major contributor in battery fire cases is being monitored with the help of programming used in battery management systems. In this process algorithm is being developed with the help of python as programming language. The same was test run on the selected parameters for validation of the developed programs for predictive safety indications / warnings. The developed program was tested on a EV battery for applications and was found to be in good agreement with predictive safety requirements. The developed program can be used with different set of battery chemistries by altering threshold value parameters. Further a review is made on available solutions to counter degradation, aspects of charging habits and their contribution to battery safety, aspects of battery maintenance and their contribution to its safety through the available research.</div></div>