A study on energy distribution strategy of electric vehicle hybrid energy storage system considering driving style based on real urban driving data
Journal article, 2022

This paper proposes a novel energy distribution optimization method of hybrid energy storage system (HESS) and its improved semi-active topology for electric vehicles (EVs) to further reduce battery capacity degradation and energy loss. Compared with the traditional HESS semi-active topology, the proposed improved topology reduces the energy loss when the battery charges the supercapacitor (SC) to further enhance the efficiency of the system. The real urban driving data of electric vehicles are collected through experiments and divided into aggressive type, cautious type and standard type according to driving style. Based on the mature multi-mode control (MMC), different weight coefficients are assigned to the two optimization objectives of battery capacity degradation and energy loss based on different driving styles, and gray wolf optimization (GWO) is used to optimize the battery output power upper limit and SC charging upper limit of MMC. The simulation results show that compared with the traditional MMC and semi-active topology, the battery capacity degradation and energy loss are improved under different driving styles. In addition, by further analyzing the simulation results, the research direction of HESS energy distribution strategy in the future is discussed.

Electric vehicles

Optimal analysis

Energy management strategy

Driving style

Hybrid energy storage system


Lin Hu

Changsha University of Science and Technology

Qingtao Tian

Changsha University of Science and Technology

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

Jing Huang

Hunan University

Yao Ye

Changsha University of Science and Technology

Xianhui Wu

Central South University

Renewable and Sustainable Energy Reviews

1364-0321 (ISSN) 18790690 (eISSN)

Vol. 162 112416

Subject Categories

Vehicle Engineering

Energy Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering



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