典型文献
On-board Diagnosis of Soft Short Circuit Fault in Lithium-ion Battery Packs for Electric Vehicles Using an Extended Kalman Filter
文献摘要：
The safety of lithium-ion batteries in electric vehicles(EVs) is attracting more attention.To ensure battery safety,early detection is necessary of a soft short circuit (SC) which may evolve into severe SC faults,leading to fire or thermal runaway.This paper proposes a soft SC fault diagnosis method based on the extended Kalman filter (EKF) for on-board applications in EVs.In the proposed method,the EKF is used to estimate the state of charge (SOC) of the faulty cell by adjusting a gain matrix based on real-time measured voltages.The SOC difference between the estimated SOC and the calculated SOC through coulomb counting for the faulty cell is employed to detect soft SC faults,and the soft SC resistance values are further identified to indicate the degree of fault severity.Soft SC experiments are developed to investigate the characteristics of a series-connected battery pack under different working conditions when one battery cell in the pack is short-circuited with different resistance values.The experimental data are acquired to validate the proposed soft SC fault diagnosis method.The results show that the proposed method is effective and robust in quickly detecting a soft SC fault and accurately estimating soft SC resistance.
文献关键词：
中图分类号：
作者姓名：
Ruixin Yang;Rui Xiong;Weixiang Shen
作者机构：
National Engineering Laboratory for Electric Vehicles,Department of Vehicle Engi-neering,School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China;Faculty of Science,Engineering and Technology,Swinburne University of Technology,Melbourne,Vic.3122,Australia
文献出处：
引用格式：
[1]Ruixin Yang;Rui Xiong;Weixiang Shen-.On-board Diagnosis of Soft Short Circuit Fault in Lithium-ion Battery Packs for Electric Vehicles Using an Extended Kalman Filter)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(01):258-270
A类：
Packs
B类：
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AB值：
0.575635
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