A Fuzzy-Logic Energy Management Strategy of Fuel Cell Hybrid Electric Vehicle Based on Whale Optimization Algorithm

The energy management strategy based on traditional fuzzy logic control relies heavily on expert experience, which makes control results unsatisfactory. To address this problem, the research proposed a fuzzy-logic fuel cell hybrid vehicle energy management strategy based on the Whale Optimization Algorithm (WOA-F-EMS). The Whale Optimization Algorithm was used to optimize the fuzzy-logic energy management strategy (F-EMS) with hydrogen consumption as the objective function. The proposed strategy was compared with the F-EMS and the ADVISOR strategy under two driving conditions. The results show that the WOA-F-EMS can effectively reduce the hydrogen consumption of fuel cells and enhance the stability of the battery's state of charge.