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Genetic Algorithm Based Speed Control of Electric Vehicle with Electronic Differential

  • Nair R. DeepthiEmail author
  • J. L. Febin Daya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9873)

Abstract

This paper discus about speed control of electric-vehicle (EV) Permanent Magnet Synchronous Motor (PMSM) drive using Electronic Differential Controller (EDC) and Genetic Algorithm (GA) tuning. EV are electrically powered by rechargeable batteries there by making it eco friendly and leading to its growing interest among customers. When a vehicle is driven along a curved road, the speed of the inner wheel should be less than the outer wheel. This type of controlling is done by EDC, which supplies necessary torque for each driving wheel and allows different wheel speeds in any curve and distribute the power to the wheel motor according to the steering angle. The control structure is based on the Field oriented control (FOC) for each front wheel-motor. In this work, the propulsion system consists of two PMSM for the two front driving wheels and, GA is implemented for optimizing PI controller parameters. Simulations is carried out in MATLAB SIMULINK.

Keywords

Electric vehicles (EV) Permanent Magnet Synchronous Motor (PMSM) drive Field oriented control (FOC) Electronic differential Genetic Algorithm (GA) 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.VIT/SelectChennaiIndia

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