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A Novel Electric Vehicle Powertrain System Supporting Multi-Path Power Flows: Its Architecture, Parameter Determination and System Simulation

Author

Listed:
  • Yujun Shi

    (Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
    Shenzhen Key Laboratory of Electric Direct Drive Technology, Shenzhen 518055, China)

  • Jin Wei

    (Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
    Shenzhen Key Laboratory of Electric Direct Drive Technology, Shenzhen 518055, China)

  • Zhengxing Deng

    (Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
    Shenzhen Key Laboratory of Electric Direct Drive Technology, Shenzhen 518055, China)

  • Linni Jian

    (Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China
    Shenzhen Key Laboratory of Electric Direct Drive Technology, Shenzhen 518055, China)

Abstract

In this paper, a novel electric vehicle powertrain system is proposed. In the system, a coaxial magnetic gear (CMG), an electromagnetic clutch, a lock, and two electric machines (EMs) are adopted to achieve the power-split by controlling the states of the clutch and the lock, which enables electric vehicles (EVs) to work in four operation modes. The configuration, power flow paths and operation modes are depicted in detail. A dynamic model is established to help determine the parameters and build simulation models. The simple control strategy is adopted to achieve flexible power-splits. How to determine the relevant parameters to meet the drive requirements in the powertrain system is also elaborated. A dynamic simulation using MATLAB/Simulink is performed to take into account the control strategy and New European Drive Cycle. Finally, the simulation results demonstrate, in theory, the rationality of the determined parameters and the feasibility of the operation modes as well as the control strategy.

Suggested Citation

  • Yujun Shi & Jin Wei & Zhengxing Deng & Linni Jian, 2017. "A Novel Electric Vehicle Powertrain System Supporting Multi-Path Power Flows: Its Architecture, Parameter Determination and System Simulation," Energies, MDPI, vol. 10(2), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:216-:d:90206
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    References listed on IDEAS

    as
    1. Christopher H. T. Lee & Chunhua Liu & K. T. Chau, 2014. "A Magnetless Axial-Flux Machine for Range-Extended Electric Vehicles," Energies, MDPI, vol. 7(3), pages 1-17, March.
    2. Xiaoxu Zhang & Xiao Liu & Chao Wang & Zhe Chen, 2014. "Analysis and Design Optimization of a Coaxial Surface-Mounted Permanent-Magnet Magnetic Gear," Energies, MDPI, vol. 7(12), pages 1-19, December.
    3. Chunhua Liu & K. T. Chau, 2014. "Electromagnetic Design of a New Electrically Controlled Magnetic Variable-Speed Gearing Machine," Energies, MDPI, vol. 7(3), pages 1-16, March.
    4. Feng Yu & Ming Cheng & Kwok Tong Chau & Feng Li, 2015. "Control and Performance Evaluation of Multiphase FSPM Motor in Low-Speed Region for Hybrid Electric Vehicles," Energies, MDPI, vol. 8(9), pages 1-19, September.
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    Cited by:

    1. Md Ragib Ahssan & Mehran Ektesabi & Saman Gorji, 2020. "Gear Ratio Optimization along with a Novel Gearshift Scheduling Strategy for a Two-Speed Transmission System in Electric Vehicle," Energies, MDPI, vol. 13(19), pages 1-24, September.

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