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Journal of Applied Mathematics
Volume 2014, Article ID 596326, 11 pages
Research Article

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

School of Transportation and Vehicle Engineering, Shandong University of Technology, No. 12 Zhangzhou Road, Zibo, Shandong 255049, China

Received 15 April 2014; Revised 30 June 2014; Accepted 1 July 2014; Published 26 August 2014

Academic Editor: H. R. Karimi

Copyright © 2014 Ruijun Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Pei Zhang, Fuwu Yan, and Changqing Du, “A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics,” Renewable & Sustainable Energy Reviews, vol. 48, pp. 88–104, 2015. View at Publisher · View at Google Scholar
  • Dapai Shi, Liang Chu, Jianhua Guo, Zhanzhong Wang, and Ruijun Liu, “Energy control strategy of plug-in hybrid electric vehicle based on pattern recognition,” Advances in Mechanical Engineering, vol. 9, no. 3, pp. 168781401769504, 2017. View at Publisher · View at Google Scholar
  • Yanjun Huang, Hong Wang, Amir Khajepour, Hongwen He, and Jie Ji, “Model predictive control power management strategies for HEVs: A review,” Journal of Power Sources, vol. 341, pp. 91–106, 2017. View at Publisher · View at Google Scholar
  • Hong Wang, Yanjun Huang, Hongwen He, Chen Lv, Wei Liu, and Amir Khajepour, “Energy Management of Hybrid Electric Vehicles,” Modeling, Dynamics and Control of Electrified Vehicles, pp. 159–206, 2018. View at Publisher · View at Google Scholar