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Maximum Power Recovery of Regenerative Braking in Electric Vehicles Based on Switched Reluctance Drive

  • Namazi, Mohammad Masoud (Dept. of Electrical and Computer Engineering, Isfahan University of Technology) ;
  • Saghaiannejad, Seyed Morteza (Dept. of Electrical and Computer Engineering, Isfahan University of Technology) ;
  • Rashidi, Amir (Dept. of Electrical and Computer Engineering, Isfahan University of Technology) ;
  • Ahn, Jin-Woo (Dept. of Mechatronics Engineering, Kyungsung University)
  • Received : 2017.06.02
  • Accepted : 2017.11.20
  • Published : 2018.03.01

Abstract

This paper presents a regenerative braking control scheme for Switched Reluctance Machine (SRM) drive in Electric Vehicles (EVs). The main purpose is to maximize the recovered energy during battery charging by taking into account the nonlinear physical characteristics of the Switched Reluctance Machine. The proposed regenerative braking method employs the back-EMF in the generation process as a complicated position-dependent voltage source. The proposed maximum power recovery (MPR) operation of the regenerative braking is first based on the maximization of the extracted power from the machine and then the maximization of the power transferred to the battery. The maximum power extraction (MPE) from SRM is based on maximizing the energy conversion ratio by the calculation of the optimum PWM switching duty cycle, turn-on, and turn-off angles. By using the impedance matching theorem that allows the maximum power transfer (MPT) of the MPE, the proposed MPR is achieved. The parametric averaged value modeling of the machine phase currents in the chopping control mode is used for MPR realization. By following this model, a nonlinear equivalent input resistance is derived for the battery internal resistance matching. The effectiveness of the proposed regenerative braking method is demonstrated through simulation results and experimental implementation.

Acknowledgement

Supported by : Korea Institute of Energy Technology Evaluation and Planning (KETEP)

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