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Optimal Control of a PHEV Based on Backward-Looking Model Extended with Powertrain Transient Effects

Author

Listed:
  • Jure Soldo

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia)

  • Ivan Cvok

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia)

  • Joško Deur

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, 10000 Zagreb, Croatia)

Abstract

The paper proposes a power flow control strategy for a P2 parallel plug-in hybrid electric vehicle (PHEV) which takes into account torque and power losses related to engine-on and gear shift transients. An extended backward-looking (EXT-BWD) model is proposed to account for the transient losses, while the control strategy combines a rule-based controller with an equivalent consumption minimization strategy. To describe the transient losses, the EXT-BWD model includes additional state variables related to engine on/off flag and gear ratio in the previous time step. To establish a performance benchmark for control strategy verification, a dynamic programming-based control variable optimization framework is established based on the EXT-BWD model. The proposed control strategy is demonstrated to improve the fuel efficiency and drivability compared to the original control strategy while retaining comparable computational efficiency.

Suggested Citation

  • Jure Soldo & Ivan Cvok & Joško Deur, 2022. "Optimal Control of a PHEV Based on Backward-Looking Model Extended with Powertrain Transient Effects," Energies, MDPI, vol. 15(21), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8152-:d:960149
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    Citations

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    Cited by:

    1. Stefan Tabacu & Dragos Popa, 2023. "Backward-Facing Analysis for the Preliminary Estimation of the Vehicle Fuel Consumption," Sustainability, MDPI, vol. 15(6), pages 1-19, March.

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