Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries
As an important component of current power and energy storage systems, lithium-ion batteries have essential scientific significance and application value in terms of accurately and reliably diagnosing their aging to determine system performance, identify potential faults in modules, and prolong thei...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/14/3884 |
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| author | Tiansi Wang Hao Wang Xiaoling Shen Chenhao Lu Lei Pei Yixiang Xu Wanlin Wang Huanhuan Li |
| author_facet | Tiansi Wang Hao Wang Xiaoling Shen Chenhao Lu Lei Pei Yixiang Xu Wanlin Wang Huanhuan Li |
| author_sort | Tiansi Wang |
| collection | DOAJ |
| description | As an important component of current power and energy storage systems, lithium-ion batteries have essential scientific significance and application value in terms of accurately and reliably diagnosing their aging to determine system performance, identify potential faults in modules, and prolong their service life. For this purpose, this paper first briefly describes the working principle of lithium-ion batteries and illustrates the possible impacts of various aging mechanisms on the state of battery capacity. Secondly, starting from both implementable and laboratory perspectives, it sorts out and summarizes the diagnostic mechanisms and applicable scenarios of current typical battery aging state assessment and diagnosis methods. Then, targeting the specific aging mechanisms involved in batteries, it elaborates on the targeted diagnosis processes for each aging mechanism. Finally, combined with implementable and laboratory diagnosis methods, it systematically summarizes a highly standardized and universal routine diagnosis process for battery aging. In addition, in combination with the latest development of aging diagnosis and related technologies, this paper reflects on and discusses the possible future development directions of battery diagnosis technologies. |
| format | Article |
| id | doaj-art-e1677fb452f74a41a7ddf54dd353862b |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-e1677fb452f74a41a7ddf54dd353862b2025-08-20T03:35:37ZengMDPI AGEnergies1996-10732025-07-011814388410.3390/en18143884Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion BatteriesTiansi Wang0Hao Wang1Xiaoling Shen2Chenhao Lu3Lei Pei4Yixiang Xu5Wanlin Wang6Huanhuan Li7School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaAutomotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaFarasis Energy, Zhenjiang 212013, ChinaAutomotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, ChinaAs an important component of current power and energy storage systems, lithium-ion batteries have essential scientific significance and application value in terms of accurately and reliably diagnosing their aging to determine system performance, identify potential faults in modules, and prolong their service life. For this purpose, this paper first briefly describes the working principle of lithium-ion batteries and illustrates the possible impacts of various aging mechanisms on the state of battery capacity. Secondly, starting from both implementable and laboratory perspectives, it sorts out and summarizes the diagnostic mechanisms and applicable scenarios of current typical battery aging state assessment and diagnosis methods. Then, targeting the specific aging mechanisms involved in batteries, it elaborates on the targeted diagnosis processes for each aging mechanism. Finally, combined with implementable and laboratory diagnosis methods, it systematically summarizes a highly standardized and universal routine diagnosis process for battery aging. In addition, in combination with the latest development of aging diagnosis and related technologies, this paper reflects on and discusses the possible future development directions of battery diagnosis technologies.https://www.mdpi.com/1996-1073/18/14/3884lithium-ion batteryaging mechanismstandardized diagnosisimplementable diagnosislaboratory diagnosis |
| spellingShingle | Tiansi Wang Hao Wang Xiaoling Shen Chenhao Lu Lei Pei Yixiang Xu Wanlin Wang Huanhuan Li Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries Energies lithium-ion battery aging mechanism standardized diagnosis implementable diagnosis laboratory diagnosis |
| title | Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries |
| title_full | Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries |
| title_fullStr | Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries |
| title_full_unstemmed | Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries |
| title_short | Review of Aging Mechanism and Diagnostic Methods for Lithium-Ion Batteries |
| title_sort | review of aging mechanism and diagnostic methods for lithium ion batteries |
| topic | lithium-ion battery aging mechanism standardized diagnosis implementable diagnosis laboratory diagnosis |
| url | https://www.mdpi.com/1996-1073/18/14/3884 |
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