Comparative Assessment Of Hev Systems Using Advanced Optimization Strategies

Abstract

Hybrid Electric Vehicles (HEVs) are pivotal in reducing greenhouse gas emissions and mitigating the reliance on fossil fuels. The design and operation of HEVs involve complex systems requiring careful optimization to achieve a balance between performance, fuel efficiency, and environmental impact. Optimization methods such as hybrid heuristic approaches (HYSGFA and Particle Swarm Optimization), analyzed in this manuscript. These techniques are applied to improve energy management, improving the state of charge of BMS. The comparative study highlights the difference between PID, FOPID Controller for enhancement of state of charge of battery using Optimization Techniques. The Proposed Hybrid Optimization Technique improves the performance of Hybrid EV System and enhances improved response in terms of various performance indices.