文献类型：期刊文献

英文题名：Overview of Fault Diagnosis Methods for New Energy Vehicle Power Battery

作者：Li, Yutong[1]; Zhang, Yinong[1]; Yang, Fan[2]

第一作者：Li, Yutong

机构：[1] College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, 100101, China; [2] Department of Automation, Tsinghua University, Beijing, 100084, China

第一机构：北京联合大学城市轨道交通与物流学院

年份：2026

卷号：1592 LNEE

起止页码：444-453

外文期刊名：Lecture Notes in Electrical Engineering

收录：EI(收录号：20262520954220)

语种：英文

外文关键词：Accident prevention - Accidents - Aging of materials - Battery management systems - Electric fault currents - Electric vehicles - Failure analysis - Knowledge based systems - Secondary batteries

摘要：As the core component of new energy vehicles, the performance of the power battery directly affects the vehicle’s driving range and safety. Power batteries in use may be due to material aging, management system failure and other reasons for a variety of failures. These failures not only reduce the performance of the battery, but also may lead to safety accidents. Therefore, researching common fault diagnosis methods for power batteries is particularly important. This article provides a detailed analysis of common faults. In response to these faults, the article introduces knowledge-based, model-based, and data-driven fault diagnosis methods, along with the current domestic and international research status. It analyses the main problems existing in the current research of power battery fault diagnosis technology and its future development direction, with a view to achieving accurate diagnosis and early prevention and control of power battery faults, improving the safety and stability of new energy vehicles, safeguarding the lives and properties of drivers and passengers, and promoting the healthy and rapid development of new energy vehicle industry. ? Beijing Paike Culture Commu. Co., Ltd. 2026.