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ew 24(1):

Research Article

Design and analysis of battery management system in electric vehicle

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  • @ARTICLE{10.4108/ew.5003,
        author={M Parameswari and S Usha},
        title={Design and analysis of battery management system in electric vehicle},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={2},
        keywords={Electric vehicle, Battery Management System, one RC network, Two RC networks, Battery monitoring},
        doi={10.4108/ew.5003}
    }
    
  • M Parameswari
    S Usha
    Year: 2024
    Design and analysis of battery management system in electric vehicle
    EW
    EAI
    DOI: 10.4108/ew.5003
M Parameswari1, S Usha1,*
  • 1: SRM Institute of Science and Technology
*Contact email: ushas@srmist.edu.in

Abstract

The usage of electric vehicles is gaining momentum in recent time’s thus providing support to the growth in sales of electric vehicles. The Battery management system is the most important aspect to ensure the smooth functioning of an electric vehicle. This research highlights some key statements on the background of electric vehicles. The increase in the overall growing importance of electric vehicles has also been explained in this work. Battery management system has an importance in the functioning of electric vehicles, thus presenting the key highlights of this article. The finding presents the importance of batteries and their type used in EVs. The simulation results of the Lithium battery cell – 1 RC, 2 RC equivalent circuit parameters such as charging current, terminal voltage, state of charge, and battery current have been simulated and analysed in Matlab. The future scope of BMS and its development has been discussed.

Keywords
Electric vehicle, Battery Management System, one RC network, Two RC networks, Battery monitoring
Received
2023-11-07
Accepted
2024-01-23
Published
2024-02-01
Publisher
EAI
http://dx.doi.org/10.4108/ew.5003

Copyright © 2024 M. Parameswari et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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