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Prediction Method for Lithium Battery Cycle Life Based on Fatigue Theory and Equivalent Cycle Number
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Weijie QIAN1, Qiang GAO2, Jingying WU3, Chengjin YE4, Wenjun LUO5
Journal of Power Supply | 2024, 22(6) : 234 - 243
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Journal of Power Supply | 2024, 22(6): 234-243
Battery and Energy Storage
Prediction Method for Lithium Battery Cycle Life Based on Fatigue Theory and Equivalent Cycle Number
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Weijie QIAN1, Qiang GAO2, Jingying WU3, Chengjin YE4, Wenjun LUO5
Affiliations
  • 1 Jiaxing Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd Jiaxing 314000 China
  • 2 State Grid Zhejiang Electric Power Co., Ltd Hangzhou 310008 China
  • 3 Zhejiang Electric Power Trading Center Co., Ltd Hangzhou 310008 China
  • 4 College of Electrical Engineering Zhejiang University Hangzhou 310058 China
  • 5 Wuhan NARI Co., Ltd, State Grid Electric Power Research Institute Wuhan 430073 China
Published: 2024-11-30 doi: 10.13234/j.issn.2095-2805.2024.6.234
Outline
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At present, the physical parameters of a lithium battery cycle life model are difficult to obtain, and the parameter identification process needs a lot of experimental data and a long test time. In addition, it is difficult and expensive to simulate the cycling effect of lithium-ion batteries. On this basis, in order to explore the electrical stimulation of lithium-ion battery aging (due to cycling) and its effect on the battery capacity and internal resistance, a novel cycle life model of lithium-ion battery is proposed. First, a simple physical equation is established based on the fatigue theory and equivalent cycle counting. The parameter identification process is simple, requiring only a small amount of data in the battery data table and a limited (or short) cycle test. The proposed model is general and can represent the effects of common cycle life factors such as depth-of-discharge, temperature and C rate. Finally, two kinds of lithium-ion batteries (i.e., LFP-LiFePO4 and NMC-LiNiMnCoO2) are used to verify the model. The simulation results are close to the actual situation, and the error is within 1.5% compared with the experimental results.

Battery cycle life model  /  capacity loss curve  /  equivalent cycle counting  /  generic battery model  /  lithium-ion battery
Weijie QIAN, Qiang GAO, Jingying WU, Chengjin YE, Wenjun LUO. Prediction Method for Lithium Battery Cycle Life Based on Fatigue Theory and Equivalent Cycle Number[J]. Journal of Power Supply, 2024 , 22 (6) : 234 -243 . DOI: 10.13234/j.issn.2095-2805.2024.6.234
  • Fundamental Research Funds for the Central Universities(2021QNA4012)
Year 2024 volume 22 Issue 6
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Article Info
doi: 10.13234/j.issn.2095-2805.2024.6.234
  • Receive Date:2021-11-13
  • Online Date:2025-07-19
  • Published:2024-11-30
Article Data
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History
  • Received:2021-11-13
  • Revised:2022-03-06
  • Accepted:2022-03-09
Funding
Fundamental Research Funds for the Central Universities(2021QNA4012)
Affiliations
    1 Jiaxing Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd Jiaxing 314000 China
    2 State Grid Zhejiang Electric Power Co., Ltd Hangzhou 310008 China
    3 Zhejiang Electric Power Trading Center Co., Ltd Hangzhou 310008 China
    4 College of Electrical Engineering Zhejiang University Hangzhou 310058 China
    5 Wuhan NARI Co., Ltd, State Grid Electric Power Research Institute Wuhan 430073 China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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