Dynamic power distribution strategy using multi‑objective collaborative optimization for hybrid energy storage systems

Yuqing Shao; Hongjuan Zhang; Yan Gao; Baoquan Jin

Dynamic power distribution strategy using multi‑objective collaborative optimization for hybrid energy storage systems

Vol. 23, No. 10, pp. 1517-1528, Oct. 2023

10.1007/s43236-023-00649-5

Hybrid energy storage system

Multi-objective collaborative optimization

Electric vehicle

Power distribution

Full-Text

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.

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Cite this article

[IEEE Style]

Y. Shao, H. Zhang, Y. Gao, B. Jin, "Dynamic power distribution strategy using multi‑objective collaborative optimization for hybrid energy storage systems," Journal of Power Electronics, vol. 23, no. 10, pp. 1517-1528, 2023. DOI: 10.1007/s43236-023-00649-5.

[ACM Style]

Yuqing Shao, Hongjuan Zhang, Yan Gao, and Baoquan Jin. 2023. Dynamic power distribution strategy using multi‑objective collaborative optimization for hybrid energy storage systems. Journal of Power Electronics, 23, 10, (2023), 1517-1528. DOI: 10.1007/s43236-023-00649-5.