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The Development and Verification of a Novel ECMS of Hybrid Electric Bus

Author

Listed:
  • Jun Wang
  • Qing-nian Wang
  • Peng-yu Wang
  • Xiao-hua Zeng

Abstract

This paper presents the system modeling, control strategy design, and hardware-in-the-loop test for a series-parallel hybrid electric bus. First, the powertrain mathematical models and the system architecture were proposed. Then an adaptive ECMS is developed for the real-time control of a hybrid electric bus, which is investigated and verified in a hardware-in-the-loop simulation system. The ECMS through driving cycle recognition results in updating the equivalent charge and discharge coefficients and extracting optimized rules for real-time control. This method not only solves the problems of mode transition frequently and improves the fuel economy, but also simplifies the complexity of control strategy design and provides new design ideas for the energy management strategy and gear-shifting rules designed. Finally, the simulation results show that the proposed real-time A-ECMS can coordinate the overall hybrid electric powertrain to optimize fuel economy and sustain the battery SOC level.

Suggested Citation

  • Jun Wang & Qing-nian Wang & Peng-yu Wang & Xiao-hua Zeng, 2014. "The Development and Verification of a Novel ECMS of Hybrid Electric Bus," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-14, March.
  • Handle: RePEc:hin:jnlmpe:981845
    DOI: 10.1155/2014/981845
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    Cited by:

    1. Saiteja, Pemmareddy & Ashok, B., 2022. "Critical review on structural architecture, energy control strategies and development process towards optimal energy management in hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    2. Shantanu Pardhi & Sajib Chakraborty & Dai-Duong Tran & Mohamed El Baghdadi & Steven Wilkins & Omar Hegazy, 2022. "A Review of Fuel Cell Powertrains for Long-Haul Heavy-Duty Vehicles: Technology, Hydrogen, Energy and Thermal Management Solutions," Energies, MDPI, vol. 15(24), pages 1-55, December.

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