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Model predictive control of a power-split hybrid electric vehicle system

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Abstract

This paper presents a model predictive control approach for the energy management problem of a power-split hybrid electric vehicle system. The model predictive control is suggested to optimally share the road load between the engine and the battery. By analyzing the configuration of the power-split hybrid electric vehicle system, we developed a simplified model for better implementation of model predictive control. The model predictive control problem is solved using numerical computation method: continuation and generalized minimum residual method. Computer simulation results showed that the fuel economy was better using the model predictive control approach than the ADVISOR rule-based approach in three cases. We conclude that the model predictive control approach is effective for the application of power-split hybrid electric vehicle systems energy management and has the potential for real-time implementation. The simplified modeling method of the power-split hybrid electric vehicle system configuration can be applied to other configurations of hybrid electric vehicle.

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Authors and Affiliations

  1. Graduate School of Information Science and Electrical Engineering, Kyushu University, Motooka 744, Nishi-ku, Fukuoka, 819-0395, Japan

    Kaijiang Yu, Masakazu Mukai & Taketoshi Kawabe

Authors
  1. Kaijiang Yu
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  2. Masakazu Mukai
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  3. Taketoshi Kawabe
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Corresponding author

Correspondence to Kaijiang Yu.

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Cite this article

Yu, K., Mukai, M. & Kawabe, T. Model predictive control of a power-split hybrid electric vehicle system. Artif Life Robotics 17, 221–226 (2012). https://doi.org/10.1007/s10015-012-0046-0

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  • DOI: https://doi.org/10.1007/s10015-012-0046-0

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