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Real-time Energy Management Strategy for Oil-Electric-Liquid Hybrid System based on Lowest Instantaneous Energy Consumption Cost

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  • Yang Yang

    (State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
    School of Automotive Engineering, Chongqing University, Chongqing 400044, China)

  • Zhen Zhong

    (State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
    School of Automotive Engineering, Chongqing University, Chongqing 400044, China)

  • Fei Wang

    (State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
    School of Automotive Engineering, Chongqing University, Chongqing 400044, China)

  • Chunyun Fu

    (State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
    School of Automotive Engineering, Chongqing University, Chongqing 400044, China)

  • Junzhang Liao

    (State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
    School of Automotive Engineering, Chongqing University, Chongqing 400044, China)

Abstract

For the oil–electric–hydraulic hybrid power system, a logic threshold energy management strategy based on the optimal working curve is proposed, and the optimal working curve in each mode is determined. A genetic algorithm is used to determine the optimal parameters. For driving conditions, a real-time energy management strategy based on the lowest instantaneous energy cost is proposed. For braking conditions and subject to the European Commission for Europe (ECE) regulations, a braking force distribution strategy based on hydraulic pumps/motors and supplemented by motors is proposed. A global optimization energy management strategy is used to evaluate the strategy. Simulation results show that the strategy can achieve the expected control target and save about 32.14% compared with the fuel consumption cost of the original model 100 km 8 L. Under the New European Driving Cycle (NEDC) working conditions, the energy-saving effect of this strategy is close to that of the global optimization energy management strategy and has obvious cost advantages. The system design and control strategy are validated.

Suggested Citation

  • Yang Yang & Zhen Zhong & Fei Wang & Chunyun Fu & Junzhang Liao, 2020. "Real-time Energy Management Strategy for Oil-Electric-Liquid Hybrid System based on Lowest Instantaneous Energy Consumption Cost," Energies, MDPI, vol. 13(4), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:784-:d:319172
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    References listed on IDEAS

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    1. Ximing Wang & Hongwen He & Fengchun Sun & Jieli Zhang, 2015. "Application Study on the Dynamic Programming Algorithm for Energy Management of Plug-in Hybrid Electric Vehicles," Energies, MDPI, vol. 8(4), pages 1-20, April.
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    Cited by:

    1. Subramaniam Saravana Sankar & Yiqun Xia & Julaluk Carmai & Saiprasit Koetniyom, 2020. "Optimal Eco-Driving Cycles for Conventional Vehicles Using a Genetic Algorithm," Energies, MDPI, vol. 13(17), pages 1-15, August.
    2. Jian Yang & Tiezhu Zhang & Hongxin Zhang & Jichao Hong & Zewen Meng, 2020. "Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle," Energies, MDPI, vol. 13(23), pages 1-20, November.

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