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Optimization of Energy Management Strategy for the EPS with Hybrid Power Supply Based on PSO Algorithm

Author

Listed:
  • Bin Tang

    (Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China)

  • Di Zhang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Haobin Jiang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Yinqiu Huang

    (School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

The traditional vehicle power supply is unable to meet the power requirement of electric power steering system (EPS) in heavy-duty vehicles at low speeds. A novel EPS with hybrid power supply (HP-EPS) is constructed in this paper, and a new optimized rule-based energy management strategy of hybrid power supply system is designed. The strategy determines the power distribution of the vehicle power supply (VPS) and super capacitor (SC), as well as the charging or discharging of SC. Furthermore, to minimize the output current fluctuation of the VPS, the optimization model of parameters in the strategy is established and the particle swarm optimization algorithm (PSO) algorithm is applied to optimize the rules in the energy management strategy. The verification for the designed energy management strategy is carried out in MATLAB/Simulink and results show that the output current peak of VPS decreases by 33% and its fluctuation depresses significantly. In addition, the SC is charged timely and fast, which is beneficial to guarantee enough state of charge (SOC) of SC. In conclusion, the optimized rule-based energy management strategy used for the HP-EPS system can meet the current requirement of EPS and effectively reduce the peak and fluctuation of the VPS output current.

Suggested Citation

  • Bin Tang & Di Zhang & Haobin Jiang & Yinqiu Huang, 2020. "Optimization of Energy Management Strategy for the EPS with Hybrid Power Supply Based on PSO Algorithm," Energies, MDPI, vol. 13(2), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:428-:d:309214
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    References listed on IDEAS

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