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Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle

Author

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  • Ruijun Liu
  • Dapai Shi
  • Chao Ma

Abstract

Through researching the instantaneous control strategy and Elman neural network, the paper established equivalent fuel consumption functions under the charging and discharging conditions of power batteries, deduced the optimal control objective function of instantaneous equivalent consumption, established the instantaneous optimal control model, and designs the Elman neural network controller. Based on the ADVISOR 2002 platform, the instantaneous optimal control strategy and the Elman neural network control strategy were simulated on a parallel HEV. The simulation results were analyzed in the end. The contribution of the paper is that the trained Elman neural network control strategy can reduce the simulation time by 96% and improve the real-time performance of energy control, which also ensures the good performance of power and fuel economy.

Suggested Citation

  • Ruijun Liu & Dapai Shi & Chao Ma, 2014. "Real-Time Control Strategy of Elman Neural Network for the Parallel Hybrid Electric Vehicle," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-11, August.
    • Handle: RePEc:hin:jnljam:596326
    DOI: 10.1155/2014/596326
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    Cited by:

    1. Tran, Dai-Duong & Vafaeipour, Majid & El Baghdadi, Mohamed & Barrero, Ricardo & Van Mierlo, Joeri & Hegazy, Omar, 2020. "Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    2. Huang, Yanjun & Wang, Hong & Khajepour, Amir & Li, Bin & Ji, Jie & Zhao, Kegang & Hu, Chuan, 2018. "A review of power management strategies and component sizing methods for hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 132-144.
    3. Singh, Krishna Veer & Bansal, Hari Om & Singh, Dheerendra, 2021. "Fuzzy logic and Elman neural network tuned energy management strategies for a power-split HEVs," Energy, Elsevier, vol. 225(C).

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