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Published on 27 August 2024
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Su,R.;Lin,Z. (2024). A comprehensive review of BMS fault analysis in pure electric vehicles. Applied and Computational Engineering,89,94-100.
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A comprehensive review of BMS fault analysis in pure electric vehicles

Ruiheng Su *,1, Zehua Lin 2
  • 1 Huaqiao University
  • 2 Huaqiao University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/89/20241083

Abstract

Pure electric vehicle technology faces numerous technical challenges during the process of independent research and development, with the safety and endurance of power batteries being particularly critical. The Battery Management System (BMS) is a core factor affecting the performance and safety of electric vehicles. The normal operation of the BMS is essential for ensuring the reliability of electric vehicles. However, in practical applications, the BMS may encounter faults that can lead to a decline in battery performance, a reduction in lifespan, and even trigger safety incidents. Therefore, the development of an efficient and accurate fault analysis and diagnostic system is particularly important. This paper systematically explores the fault issues of electric vehicle BMS, including the composition, working principles, and main functions of the BMS, as well as the classification, level definition, case analysis, and resolution measures of faults. The article also provides a detailed introduction to fault analysis methods, including qualitative and quantitative analyses. Finally, based on recent hot topics and the latest research progress, it is concluded that model-based fault diagnosis will become increasingly important. This paper aims to provide a reference for the development of the field of electric vehicle battery management fault diagnosis technology.

Keywords

Pure Electric Vehicles, Battery Management System, Fault, Model-Based Fault Diagnosis

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Cite this article

Su,R.;Lin,Z. (2024). A comprehensive review of BMS fault analysis in pure electric vehicles. Applied and Computational Engineering,89,94-100.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Functional Materials and Civil Engineering

Conference website: https://2024.conffmce.org/
ISBN:978-1-83558-605-1(Print) / 978-1-83558-606-8(Online)
Conference date: 23 August 2024
Editor:Ömer Burak İSTANBULLU, Alan Wang
Series: Applied and Computational Engineering
Volume number: Vol.89
ISSN:2755-2721(Print) / 2755-273X(Online)

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