A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various f...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/14/5507 |
| _version_ | 1797589441627291648 |
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| author | Bosong Zou Lisheng Zhang Xiaoqing Xue Rui Tan Pengchang Jiang Bin Ma Zehua Song Wei Hua |
| author_facet | Bosong Zou Lisheng Zhang Xiaoqing Xue Rui Tan Pengchang Jiang Bin Ma Zehua Song Wei Hua |
| author_sort | Bosong Zou |
| collection | DOAJ |
| description | The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate due to their similar features and internal coupling relationships. In this paper, the current research of advanced battery system fault diagnosis technology is reviewed. Firstly, the existing types of battery faults are introduced in detail, where cell faults include progressive and sudden faults, and system faults include a sensor, management system, and connection component faults. Then, the fault mechanisms are described, including overcharge, overdischarge, overheat, overcool, large rate charge and discharge, and inconsistency. The existing fault diagnosis methods are divided into four main types. The current research and development of model-based, data-driven, knowledge-based, and statistical analysis-based methods for fault diagnosis are summarized. Finally, the future development trend of battery fault diagnosis technology is prospected. This paper provides a comprehensive insight into the fault and defect diagnosis of lithium-ion batteries for electric vehicles, aiming to promote the further development of new energy vehicles. |
| first_indexed | 2024-03-11T01:06:44Z |
| format | Article |
| id | doaj.art-61ca69d8ca5944a0b0cd3ec11913f51a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T01:06:44Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-61ca69d8ca5944a0b0cd3ec11913f51a2023-11-18T19:11:23ZengMDPI AGEnergies1996-10732023-07-011614550710.3390/en16145507A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric VehiclesBosong Zou0Lisheng Zhang1Xiaoqing Xue2Rui Tan3Pengchang Jiang4Bin Ma5Zehua Song6Wei Hua7College of Communication Engineering, Jilin University, Changchun 130022, ChinaSchool of Transportation Science and Engineering, Beihang University, Beijing 102206, ChinaBeijing Saimo Technology Co., Ltd., Beijing 100097, ChinaWarwick Electrochemical Engineering Group, WMG, Energy Innovation Centre, University of Warwick, Warwick CV4 7AL, UKSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaCollege of Communication Engineering, Jilin University, Changchun 130022, ChinaSchool of Transportation Science and Engineering, Beihang University, Beijing 102206, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaThe battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate due to their similar features and internal coupling relationships. In this paper, the current research of advanced battery system fault diagnosis technology is reviewed. Firstly, the existing types of battery faults are introduced in detail, where cell faults include progressive and sudden faults, and system faults include a sensor, management system, and connection component faults. Then, the fault mechanisms are described, including overcharge, overdischarge, overheat, overcool, large rate charge and discharge, and inconsistency. The existing fault diagnosis methods are divided into four main types. The current research and development of model-based, data-driven, knowledge-based, and statistical analysis-based methods for fault diagnosis are summarized. Finally, the future development trend of battery fault diagnosis technology is prospected. This paper provides a comprehensive insight into the fault and defect diagnosis of lithium-ion batteries for electric vehicles, aiming to promote the further development of new energy vehicles.https://www.mdpi.com/1996-1073/16/14/5507electric vehicleslithium-ion batteriesbattery faultsfault diagnosis methods |
| spellingShingle | Bosong Zou Lisheng Zhang Xiaoqing Xue Rui Tan Pengchang Jiang Bin Ma Zehua Song Wei Hua A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles Energies electric vehicles lithium-ion batteries battery faults fault diagnosis methods |
| title | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles |
| title_full | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles |
| title_fullStr | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles |
| title_full_unstemmed | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles |
| title_short | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery for Electric Vehicles |
| title_sort | review on the fault and defect diagnosis of lithium ion battery for electric vehicles |
| topic | electric vehicles lithium-ion batteries battery faults fault diagnosis methods |
| url | https://www.mdpi.com/1996-1073/16/14/5507 |
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