Agradecimentos: This work was supported by the São Paulo Research Foundation (FAPESP) under Grant 17/21640-9 and Grant 16/08645-9 and in part by the National Council for Scientific and Technological Development (CNPQ) under Grant 426404/2018-1 and Grant 142597/2018-0

Switched reluctance machines have gained interest in electric vehicle applications because of its prominent advantages. However, drawbacks as torque ripple and highly nonlinear model restrain the usage of such machines on larger scale. In this paper, a minimum torque ripple point tracking (MTRPT)...

Switched reluctance machines have gained interest in electric vehicle applications because of its prominent advantages. However, drawbacks as torque ripple and highly nonlinear model restrain the usage of such machines on larger scale. In this paper, a minimum torque ripple point tracking (MTRPT) algorithm is proposed for online variation of turn-off angle. Also, a method for designing Dahlin cruise controllers with back-emf cancellation is presented. The system model accounts the current profiling technique for the design. The developed model is verified through simulation and experiments. The system presents minimum torque ripple tracking capability in broad operation speed testified by ECE-R15 and EUDC driving schedules. The MTRPT convergence time achieved during a load step in simulation and experiment is around 1s. In simulation, the speed tracking capability of the controller returns a RMSE of 0.047rad/s and 0.0182rad/s for the ECE-R15 and EUDC driving cycles, respectively. When the EUDC driving schedule is tested experimentally, the MTRPT diminished the torque ripple on average by 20% compared to when the turn-off angle is fixed. The speed tracking error is 0.99% with the MTRPT, and 1.3414% with the turn-off angle fixed. The results show that the system is valid for electric and hybrid electric vehicle implementation

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