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LQR-Based Power Train Control Method Design for Fuel Cell Hybrid Vehicle

Author

Listed:
  • Yun Haitao
  • Zhao Yulan
  • Liu Zunnian
  • Hao Kui

Abstract

Based on the mathematical model of fuel cell hybrid vehicle (FCHV) proposed in our previous study, a multistate feedback control strategy of the hybrid power train is designed based on the linear quadratic regulator (LQR) algorithm. A Kalman Filter (KF) observer is introduced to estimate state of charge (SOC) of the battery firstly, and then a linear quadratic regulator is constructed to compute the state feedback gain matrix of the closed-loop control system. At last, simulation and actual test are utilized to demonstrate this new approach.

Suggested Citation

  • Yun Haitao & Zhao Yulan & Liu Zunnian & Hao Kui, 2013. "LQR-Based Power Train Control Method Design for Fuel Cell Hybrid Vehicle," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-7, November.
    • Handle: RePEc:hin:jnlmpe:968203
    DOI: 10.1155/2013/968203
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    Cited by:

    1. Aminu Babangida & Chiedozie Maduakolam Light Odazie & Péter Tamás Szemes, 2023. "Optimal Control Design and Online Controller-Area-Network Bus Data Analysis for a Light Commercial Hybrid Electric Vehicle," Mathematics, MDPI, vol. 11(15), pages 1-19, August.

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