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Model Parameter Identification for Lithium-ion Batteries Based on Fractional Hybrid Genetic-Particle Swarm Optimization Method

  • Published:2022-11-19 Issue: Volume: Page:
  • ISSN:
  • Container-title:2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
  • language:
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Author:

Zhang Guangya1,Han Hao2,Chen Kaixuan1,Wu Xiaobo3,Chen Liping3,Wu Kehan4

Affiliation:

1. State Grid Anhui Integrated Energy Co., LTD,Hefei,China,230061

2. State Grid Anhui Electric Power Co., LTD.,,Hefei,China,230009

3. Hefei University of Technology,School of Electrical Engineering and Automation,Hefei,China,230009

4. Training Center Anhui Electric Power Co., LTD.,,Hefei,China,230009

Publisher

IEEE

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parameter Identification of Electrical and Thermal Model of a Lithium Polymer Battery using Particle Swarm Optimization;2024 10th International Conference on Power Electronics Systems and Applications (PESA);2024-06-05

2. An Improved Differential Evolution for Offline Parameter Estimation in Lithium-Ion Batteries with Real-World Usage Data;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08
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