Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Dynamic power distribution strategy using multi-objective collaborative optimization for hybrid energy storage systems

  • Yuqing Shao (College of Electrical and Power Engineering, Taiyuan University of Technology) ;
  • Hongjuan Zhang (College of Electrical and Power Engineering, Taiyuan University of Technology) ;
  • Yan Gao (College of Electrical and Power Engineering, Taiyuan University of Technology) ;
  • Baoquan Jin (Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology)
  • Received : 2022.12.30
  • Accepted : 2023.05.09
  • Published : 2023.10.20
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Abstract

This paper proposes a dynamic power distribution strategy for the hybrid energy storage systems (HESSs) in electric vehicles (EVs). First, the power loss of a HESS is analyzed based on its structure and model. Second, the optimal objectives for EV range extension, battery degradation mitigation, and HESS energy loss reduction are set, and the corresponding optimization variables are determined. Then, a multi-objective collaborative optimization (MOCO) function is established. It is further transformed into a linear programming problem with the battery current as the control variable. Finally, the dynamic power distribution scheme is obtained by analyzing the MOCO problem. The dynamic power distribution strategy using the MOCO is studies through simulations and experiments under the worldwide harmonized light vehicles test cycle. The obtained results indicate that the performances of the three optimal objectives are collaboratively improved.

Keywords

Acknowledgement

The authors thank the National Natural Science Foundation of China (No. 51775363) and the Key Research and Development Projects of Shanxi Province (No. 201803D121124) for funding this research project.

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