基于值率模型的电动汽车动力电池电压异常检测

doi:10.19562/j.chinasae.qcgc.2023.09.021

Abstract

Abstract:

Accurate and efficient abnormal detection of electric vehicle power battery systems is of great significance to ensure safe and reliable operation of vehicles. Based on this， a new power battery voltage abnormality diagnosis method based on voltage variation rate is proposed for detecting abnormal voltage fluctuation faults of individual cells in a battery pack. Further， an evaluation coefficient based on an improved Z-score method is introduced to quantitatively characterize the degree of abnormal voltage fluctuation. On this basis， the validity and reliability of the proposed method is verified based on real-world vehicle data. In addition， a comparative analysis with the commonly used entropy method shows that the method proposed in this paper has reliable fault diagnosis results and high calculation efficiency， with higher value of engineering application. Finally， based on the model， the distribution of the risk of voltage abnormalities in the battery system of this type of vehicle is obtained by statistically analyzing the voltage data of a large number of electric vehicles of the same type. By analyzing the abnormalities hidden beneath the surface， it can provide a reference for vehicle manufacturers for design of the power battery system or the entire vehicle structure.

Key words: power battery, voltage abnormality detection, assessment coefficient, failure mode

Qiquan Liu,Jian Ma,Xuan Zhao,Kai Zhang,Dean Meng,Likang Xiang. Abnormal Voltage Detection of Battery for Electric Vehicles Based on Value Rate Model[J].Automotive Engineering, 2023, 45(9): 1728-1739.

Figures/Tables 19

时间戳	车速/（km·h^-1）	总里程/km	SOC/%	总电压/V	总电流/A	单体电池电压列表
2020/7/1 7：34：40	14.2	141 811.3	90	390.3	20.8	4.110_4.111_4.106 $? ?$
2020/7/1 7：34：50	9.8	141 811.3	90	390.2	10.2	4.108_4.109_4.104 $? ?$
2020/7/1 7：35：00	16.4	141 811.4	90	389.8	24.9	4.105_4.105_4.101 $? ?$
2020/7/1 7：35：10	16.8	141 811.4	90	390.1	26.4	4.108_4.108_4.104 $? ?$

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车辆编号	车辆类型	电池类型	单体电池数	电池模组数	电压传感器精度/V	采样频率/Hz	车辆状态
车辆1	乘用车	Li（NiMnCo）O₂	95	17	0.001	0.10	热失控
车辆2	商用车	Li（NiMnCo）O₂	156	26	0.001	0.05	热失控
车辆3-车辆382	商用车	Li（NiMnCo）O₂	156	26	0.001	0.05	正常

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Abnormal Voltage Detection of Battery for Electric Vehicles Based on Value Rate Model

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