Optimal Speed Control of Hybrid Electric Vehicle Using GWO Based Fuzzy-PID Controller

The Hybrid electric vehicle (HEV) is getting more attention now a days due to limited conventional energy resources and environment issues. The limited range of battery power of electrical vehicle (EV) motivates the researchers to explore HEV which combines both electrical machines and Internal combustion (IC) engine to produce power. The objective of this research work is speed control Hybrid Electric vehicle (HEV) by controlling the throttle position of the motor. Moreover, the designed controller needs to give smooth throttle movement with minimized the steady state error. To fulfill the desired objective two control schemes has been employed. To optimize the parameters of the controller, Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO) technique are used. The comparative analysis of response using different control schemes has been carried out. The observed results demonstrate the superiority of proposed scheme in terms of lessen fuel utilization of the HEV queue and improving traffic smoothness.