Average torque control of switched reluctance machine drives for electric vehicles | Zendy

Cheng He | Zendy; Chen Hao | Zendy; Yang Zhou | Zendy

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Average torque control of switched reluctance machine drives for electric vehicles

Author(s) -

Cheng He,

Chen Hao,

Yang Zhou

Publication year - 2015

Publication title -

iet electric power applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.815

H-Index - 97

eISSN - 1751-8679

pISSN - 1751-8660

DOI - 10.1049/iet-epa.2014.0424

Subject(s) - switched reluctance motor , torque , control theory (sociology) , direct torque control , reluctance motor , automotive engineering , control (management) , electric vehicle , computer science , engineering , control engineering , electrical engineering , physics , voltage , power (physics) , induction motor , artificial intelligence , thermodynamics , quantum mechanics

Instantaneous torque control and average torque control (ATC) strategies of switched reluctance machine (SRM) are comparatively investigated to select appropriate control mode for the application of SRM in electric vehicles (EVs). Three novel methods are put forward to optimise ATC for meeting the performance requirements of EVs. On‐line estimator is designed to estimate the average torque of SRM in real‐time and improve the steady‐state torque precision. Current chopping control‐angle position control hybrid crossover control is proposed to widen the adjustable speed range and improve the process smoothness of SRM in consideration of acceleration and deceleration. Turn‐on and turn‐off angles of SRM are optimised by generic algorithm to enhance driving efficiency and reduce torque ripple. At last, the three proposed control methods are validated by simulations and experiments.

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