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A Proportional Resonant Control Strategy for Efficiency Improvement in Extended Range Electric Vehicles

Author

Listed:
  • Xiaoyuan Wang

    (Institute of Electrical Engineering & Automation, Tianjin University, No. 92 Weijin Road, Tianjin 300072, China)

  • Haiying Lv

    (Institute of Electrical Engineering & Automation, Tianjin University, No. 92 Weijin Road, Tianjin 300072, China)

  • Qiang Sun

    (College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China)

  • Yanqing Mi

    (Institute of Electrical Engineering & Automation, Tianjin University, No. 92 Weijin Road, Tianjin 300072, China)

  • Peng Gao

    (Institute of Electrical Engineering & Automation, Tianjin University, No. 92 Weijin Road, Tianjin 300072, China)

Abstract

The key to control the range extender generation system is to improve the efficiency and reduce the emissions of the electric vehicle (EV). In this paper, based on the purpose of efficiency optimization, both engine and generator are matched to get a public high efficiency region, and a partial power following control strategy was presented. The engine speed is constant in the defined power range, so the output power regulation of the range extender is only realized by the adjustment of the torque of the generator. Engine speed and generator torque were decoupled. An improved proportional resonant (PR) controller is adopted to achieve fast output power regulation. In order to ensure the response characteristics of the control system and to improve the robustness, the impacts on system’s characteristics and stability caused by PR controller and parameters in the inner-current loop were analyzed via frequency response characteristics. A pre-Tustin with deviation compensation is proposed for PR controller’s discretization. A stable and robust power following control method is obtained for the range extender control system. Finally, simulation and experiment of the proposed control strategy illustrated its feasibility and correctness.

Suggested Citation

  • Xiaoyuan Wang & Haiying Lv & Qiang Sun & Yanqing Mi & Peng Gao, 2017. "A Proportional Resonant Control Strategy for Efficiency Improvement in Extended Range Electric Vehicles," Energies, MDPI, vol. 10(2), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:204-:d:89997
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    References listed on IDEAS

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    1. Yongpeng Shen & Zhendong He & Dongqi Liu & Binjie Xu, 2016. "Optimization of Fuel Consumption and Emissions for Auxiliary Power Unit Based on Multi-Objective Optimization Model," Energies, MDPI, vol. 9(2), pages 1-18, February.
    2. Ming Cheng & Le Sun & Giuseppe Buja & Lihua Song, 2015. "Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles," Energies, MDPI, vol. 8(9), pages 1-24, September.
    3. Pérez, Laura V. & Bossio, Guillermo R. & Moitre, Diego & García, Guillermo O., 2006. "Optimization of power management in an hybrid electric vehicle using dynamic programming," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 73(1), pages 244-254.
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    Cited by:

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    2. Ren, Guizhou & Wang, Jinzhong & Chen, Changlei & Wang, Haoran, 2021. "A variable-voltage ultra-capacitor/battery hybrid power source for extended range electric vehicle," Energy, Elsevier, vol. 231(C).
    3. Wilson Pavon & Esteban Inga & Silvio Simani & Matthew Armstrong, 2023. "Optimal Hierarchical Control for Smart Grid Inverters Using Stability Margin Evaluating Transient Voltage for Photovoltaic System," Energies, MDPI, vol. 16(5), pages 1-16, March.

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