Optimal velocity profile identification of EV suited for standard driving cycles using PSO to reduce power requirement

The Ongoing demand of battery electric vehicle (BEV) for green energy revolution suffers from limited driving range and lack of charging stations as compared with traditional vehicles. Driving range of electric vehicle (EV) can be increased by reducing the peak power consumption which minimizes the energy requirement of BEV. The selection of electrical motor for BEV also depends on the peak power consumption by the motor to reach the maximum speed over a driving cycle. This paper proposes different acceleration strategies to reduce the peak power consumption for a 4 wheeler sedan which is being operated with fixed gear on Indian Driving Cycle (IDC) and Highway Fuel Economy Test (HWFET) driving cycle. Particle Swarm Optimization technique (PSO) has been adopted to find the minimum power requirement to reach optimal velocity.