Drive Train Optimization of Electric Vehicle with Grey Wolf Optimization |
Author(s): |
| Munish Kumar , R.P.Educational Trust Group of Institutions,Karna, Haryana; Ankush Sharma, R.P.Educational Trust Group of Institutions,Karna, Haryana |
Keywords: |
| GWO, PMSM Motor, PI Controller, Electric Vehicle Drive Train, Battery, Motor, Matlab |
Abstract |
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In this work, we developed an EV drive train configuration with the help of AC motors. The developed model contains a battery source, AC motors (Induction squirrel cage) and Synchronous (PMSM), motor controller DTC (Direct torque control) and FOC (field Oriented control), PI control, wheels configuration (Front and Rear) and vehicle body. The three-phase squirrel cage induction motor connected at rear wheels and synchronous motor connected at the front wheels. We proposed two control methods with PI configuration for speed control of AC motors. Grey wolf optimization used to optimize the gain parameters of PI control. GWO based optimized PI controllers can adjust their gains values (Kp and Ki) in correspondence to deviations of EV speed and torque and results in stable speed and torque conditions. The model developed on the Simulink tool of Matlab. |
Other Details |
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Paper ID: IJSRDV7I90242 Published in: Volume : 7, Issue : 9 Publication Date: 01/12/2019 Page(s): 279-283 |
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