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Optimal Energy Control Strategy Design for a Hybrid Electric Vehicle

Author

Listed:
  • Yuan Zou
  • Hou Shi-jie
  • Li Dong-ge
  • Gao Wei
  • Xiao-song Hu

Abstract

A heavy-duty parallel hybrid electric truck is modeled, and its optimal energy control is studied in this paper. The fundamental architecture of the parallel hybrid electric truck is modeled feed-forwardly, together with necessary dynamic features of subsystem or components. Dynamic programming (DP) technique is adopted to find the optimal control strategy including the gear-shifting sequence and the power split between the engine and the motor subject to a battery SOC-sustaining constraint. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. Simulation results demonstrate that a significant improvement on the fuel economy can be achieved in the heavy-duty vehicle cycle from the natural driving statistics.

Suggested Citation

  • Yuan Zou & Hou Shi-jie & Li Dong-ge & Gao Wei & Xiao-song Hu, 2013. "Optimal Energy Control Strategy Design for a Hybrid Electric Vehicle," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-8, February.
    • Handle: RePEc:hin:jnddns:132064
    DOI: 10.1155/2013/132064
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    Cited by:

    1. Waruna Maddumage & Malika Perera & Rahula Attalage & Patrick Kelly, 2021. "Power Management Strategy of a Parallel Hybrid Three-Wheeler for Fuel and Emission Reduction," Energies, MDPI, vol. 14(7), pages 1-30, March.
    2. Piotr Wróblewski & Jerzy Kupiec & Wojciech Drożdż & Wojciech Lewicki & Jarosław Jaworski, 2021. "The Economic Aspect of Using Different Plug-In Hybrid Driving Techniques in Urban Conditions," Energies, MDPI, vol. 14(12), pages 1-17, June.

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