A Study on Multi-Fault Diagnosis Methods for a Series-Parallel Battery Pack

IF 0.2 Q4 AREA STUDIES
Jianming Li, Yuwei Nie, Can Wang, Quanqing Yu
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引用次数: 0

Abstract

The fault diagnosis function of the battery management system (BMS) is crucial for battery pack safety and reliable operation. This paper proposes a new series-parallel connected battery pack voltage measurement design scheme, which can save voltage sensors number from n to 0.75n for n cells in series. The multi-fault diagnosis strategy is proposed by analyzing the law of battery pack current and voltage signals. Three kinds of fault, including connection fault, sensor fault, and micro external short circuits (mESC) fault, were simulated to verify the effectiveness of the diagnosis strategy. This paper provides an important reference for the research on fault diagnosis of series-parallel battery packs by applying measurement information in practice.
串并联电池组多故障诊断方法研究
电池管理系统(BMS)的故障诊断功能对电池组的安全可靠运行至关重要。本文提出了一种新的串并联电池组电压测量设计方案,该方案可以将n个串联电池的电压传感器数量从n个减少到0.75个。通过分析电池组电流和电压信号的变化规律,提出了多故障诊断策略。通过对连接故障、传感器故障和微外部短路(mESC)故障三种故障的仿真,验证了该诊断策略的有效性。本文为实际应用测量信息进行串并联电池组故障诊断研究提供了重要参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
8
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