Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles
发表时间:2021-01-20     阅读次数:     字体:【


摘要

Due to the limited capacity and voltage of single battery cell, the battery system for electric vehicles often consists of hundreds or thousands of single cells in series and parallel connection. The inconsistency of individual cell in capacity, voltage, internal resistance, etc., and their coupling effects with aging make the battery system fail frequently, which brings great challenges to the safe and reliable operation of the battery system. This paper discusses the research progress of battery system faults and diagnosis from sensors, battery and components, and actuators: (1) the causes and influences of sensor fault, actuator fault, internal/external short circuit fault, overcharge/over-discharge fault, connection fault, inconsistency, insulation fault, thermal management system fault are analyzed; (2) the fault diagnosis methods and their application characteristics in up-to-date battery system fault research are discussed, and the research trends of battery system fault diagnosis are sorted out; (3) Further, the future challenges and potential research directions of battery system fault diagnosis driven by new technologies such as big data are discussed. Finally, the summarization of whole paper is presented.


部分图片:

图1 The working process of battery system.

图2 Battery system decomposition and possible fault types.

引文信息

Xiong R, Sun W, Yu Q, et al. Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles[J]. Applied Energy, 2020, 279: 115855. (下载链接)

其他相关论文

1. Xiong R , Yu Q , Shen W , et al. A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles[J]. IEEE Transactions on Power Electronics, 2019:1-1.下载链接




上一篇:Extreme Learning Machine Based Thermal Model for Lithium-ion Batteries of Electric Vehicles under External Short Circuit
下一篇:Lithium-ion battery aging mechanisms and diagnosis method for automotive applications Recent advances and perspectives
0
联系地址:北京市海淀区中关村南大街5号北京理工大学   Copyright  ©  2020-   先进储能科学与应用联合实验室  All Rights Reserved.网站地图
友情链接: 新能源与智能载运期刊    北京理工大学    机械与车辆学院