Smart Battery Management System for Electric Vehicles

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Gayana. A. Jain
Chinmayee V Bhat
Manohar B S
Spandana Shashikumar
Sathis Shet K
Shivakumarswamy P M

Abstract

Electric vehicles are showing some promises in the automotive industry and can be the answer for mitigating carbon footprint. In the process of upgrading electric vehicles to the customer demands, battery performance serves a crucial part in deciding the performance of the electric vehicles. So, Battery Management System becomes the brains behind monitoring and controlling the battery. Real-time sensing of the battery parameters, decision-making capability to choose the type of charging, and which cell to be charged are all the functionalities of BMS. All these criteria can be assessed precisely and efficiently via processors like Raspberry pi, along with IoT and cloud computing technologies. These approaches can be used for remote accessing of the battery’s performance, which will help the customer and the company to analyse the vehicle's condition. They also help prevent battery degradation. Since IoT and cloud computing technologies are being used, if an adverse state occurs in the battery, the customer can be notified directly via their mobile. In this article, a combined technology of locally hosted processor and cloud-based decision making has been discussed to improve the battery intern Electric Vehicle’s performance.

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How to Cite
Gayana. A. Jain, Chinmayee V Bhat, Manohar B S, Spandana Shashikumar, Sathis Shet K, & Shivakumarswamy P M. (2023). Smart Battery Management System for Electric Vehicles. Journal of Advanced Zoology, 44(S6), 869–874. https://doi.org/10.17762/jaz.v44iS6.2311
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