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Research on Energy Management Strategy Based on Adaptive Equivalent Fuel Consumption Minimum for Hydrogen Hybrid Energy Systems

Author

Listed:
  • Zhaoxuan Zhu

    (School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Zhiwei Yin

    (School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Kaiyu Qin

    (School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China)

Abstract

Hydrogen has attracted widespread attention due to its zero emissions and high energy density, and hydrogen-fueled power systems are gradually emerging. This paper combines the advantages of the high conversion efficiency of fuel cells and strong engine power to propose a hydrogen hybrid energy system architecture based on a mixture of fuel cells and engines in order to improve the conversion efficiency of the energy system and reduce its fuel consumption rate. Firstly, according to the topology of the hydrogen hybrid energy system and the circuit model of its core components, a state-space model of the hydrogen hybrid energy system is established using the Kirchhoff node current principle, laying the foundation for the control and management of hydrogen hybrid energy systems. Then, based on the state-space model of the hydrogen hybrid system and Pontryagin’s minimum principle, a hydrogen hybrid system management strategy based on adaptive equivalent fuel consumption minimum strategy (A-ECMS) is proposed. Finally, a hydrogen hybrid power system model is established using the AVL Cruise simulation platform and a control strategy is developed using matlab 2021b/Simulink to analyze the output power and fuel economy of the hybrid energy system. The results show that, compared with the equivalent fuel consumption minimum strategy (ECMS), the overall fuel economy of A-ECMS could improve by 10%. Meanwhile, the fuel consumption of the hydrogen hybrid energy system is less than half of that of traditional engines.

Suggested Citation

  • Zhaoxuan Zhu & Zhiwei Yin & Kaiyu Qin, 2025. "Research on Energy Management Strategy Based on Adaptive Equivalent Fuel Consumption Minimum for Hydrogen Hybrid Energy Systems," Energies, MDPI, vol. 18(7), pages 1-14, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1691-:d:1622442
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    References listed on IDEAS

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    4. Yaqian Wang & Xiaohong Jiao, 2022. "Dual Heuristic Dynamic Programming Based Energy Management Control for Hybrid Electric Vehicles," Energies, MDPI, vol. 15(9), pages 1-19, April.
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