Intelligent Coordinated Control and Energy Management of Hybrid Energy Storage Systems for Vehicle Electrification

Hybrid Energy Storage Systems (HESSs), integrating batteries and supercapacitors, enhance the efficiency and longevity of electric vehicles (EVs). This paper proposes an optimization-based control and energy management strategy for HESS in EVs, combining Model Predictive Control (MPC) with fuzzy logic power allocation. The approach optimizes power distribution to minimize energy losses, extend battery lifespan, and ensure safe operation under a multi-objective framework. Validated in the Urban Dynamometer Driving Schedule (UDDS), the strategy reduces battery degradation by 10% and improves energy efficiency by 10% compared to the equal power split methods, promoting the operation of cost-effective and sustainable electric vehicles.