Enhancing Hybrid Electric Vehicle Speed Controller based on Fractional Order PID using Jaya Optimization Algorithm

The drive for sustainability has pushed forward various avenues in meeting the zero-carbon target. Electrification of vehicles has seen rapid growth, especially in replacing current internal combustion engine vehicles which relies on fossil fuel. The hybrid electrical vehicles (HEVs) that catalyze complete vehicle electrification provide a transition platform for vehicle users. The losses experienced by the HEVs which is contributed by the motor, generator, and battery have to be minimized to ensure efficient hybrid EV performance. The motor controller in the simulation model of the power-split hybrid transmission architecture is optimized using Jaya Optimization Algorithm (JOA). Two objective functions, which are speed regulation error and total electrical power loss are evaluated. Three different analyses for the Fractional order PID controller (FOPID) are carried out. The investigation comprises of comparative analysis with PID controller for first objective function, an analysis on FOPID controller based on second objective function, and an analysis of three different driving patterns. Overall improvement is observed in the integration of FOPID for HEV to enhance the performance of speed regulation and total electrical losses.