Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles

Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles The increasing adoption of electric vehicles (EVs) and their integration into smart grids have enabled bidirectional charging technologies, commonly referred to as Vehicle-to-Grid (V2G) systems. While V2G offers significant benefits such as grid stability, peak load management, and renewable energy integration, it also accelerates battery degradation due to frequent charge– discharge cycles. This study focuses on integrating battery aging considerations into the optimization framework for bidirectional EV charging. A comprehensive battery degradation model is incorporated, accounting for key factors such as depth of discharge, state of charge, temperature, and cycle frequency. The proposed optimization approach aims to balance economic benefits from energy trading with the long-term cost associated with battery wear. Advanced algorithms are employed to determine optimal charging and discharging schedules that minimize degradation while maximizing grid support and user profit. Simulation results demonstrate that incorporating battery aging into the optimization process significantly improves battery lifespan and ensures sustainable operation without compromising grid services. The findings highlight the importance of degradation-aware strategies in enhancing the efficiency, reliability, and economic viability of V2G-enabled electric vehicle systems.