Efficiency optimization control of induction motor drives for electric vehicles

Taking the copper loss and iron loss into account, the efficiency optimization control of induction motor (IM) drives for electric vehicles is studied to improve the motor efficiency under light load. The search-controller based on golden section algorithm is improved by reducing the search scope of rotor flux. An experimental system is built based on TMS320LF2407 DSP. Loss-model control algorithm and search-control algorithm based on golden section method and improved golden section method are compared through experimental research. The experimental results show that both of the control strategies can improve the motor efficiency remarkably. The loss-model controller has good characteristics of fast optimization speed and small torque and flux fluctuation. The algorithm of improved golden section search-controller is simple, and it can achieve higher efficiency than loss-model controller. Search-controller is independent of parameter variations and model precision, and it thus has broad application prospects.