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Parameter Identification of Lithium Battery Model Based on Improved Whale Optimization Algorithm
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Jiacheng ZHAO, Jian SUN, Hongwei XU
Journal of Power Supply | 2025, 23(7) : 283 - 293
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Journal of Power Supply | 2025, 23(7): 283-293
• Battery and Energy Storage •
Parameter Identification of Lithium Battery Model Based on Improved Whale Optimization Algorithm
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Jiacheng ZHAO, Jian SUN, Hongwei XU
Affiliations
  • College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
Published: 2025-11-30 doi: 10.13234/j.issn.2095-2805.2025.7.283
Outline
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The parameter identification accuracy of a lithium battery model is of significance for the development of a battery management system. To improve the accuracy and efficiency of parameter identification, a multi-step parameter identification method for the electrochemical-thermal coupling model of lithium battery is proposed in combination with the Arrhenius law, which uses the whale optimization algorithm improved by oppositional learning strategy and Levy mutation. In this method, constant-current data at 15 ℃, 25 ℃ and 35 ℃ are adopted for parameter identification, and constant-current and dynamic working conditions are used to verify the identification results. Simulation and experimental results show that the mean absolute percentage error of parameters is reduced by 7.2%, the maximum root mean square error of voltage predicted by the model is 26 mV and that of temperature is 0.4 ℃, indicating that the multi-step parameter identification method using the whale optimization algorithm based on oppositional learning strategy and Levy mutation can efficiently identify parameters.

Lithium battery  /  electrochemical-thermal coupling model  /  parameter identification  /  whale optimization algorithm
赵家城, 孙坚, 徐红伟. 基于改进鲸鱼算法的锂电池模型参数辨识. 电源学报, 2025 , 23 (7) : 283 -293 . DOI: 10.13234/j.issn.2095-2805.2025.7.283
Jiacheng ZHAO, Jian SUN, Hongwei XU. Parameter Identification of Lithium Battery Model Based on Improved Whale Optimization Algorithm[J]. Journal of Power Supply, 2025 , 23 (7) : 283 -293 . DOI: 10.13234/j.issn.2095-2805.2025.7.283
Funding
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  • Zhejiang Provincial Science and Technology Plan Project(2022C01024)
Appendix
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Year 2025 volume 23 Issue 7
58
5
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.7.283
  • Receive Date：2022-10-17
  • Online Date：2026-10-26
  • Published：2025-11-30
Article Data
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History
  • Received：2022-10-17
  • Revised：2023-02-21
  • Accepted：2023-03-07
Funding
Zhejiang Provincial Science and Technology Plan Project(2022C01024)
Affiliations
    College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
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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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