Journal of Electrical Engineering and Automation

As the energy transition and environmental protection requirements increase, hydrogen fuel cell hybrid systems are becoming increasingly prevalent in transportation and other sectors. Optimizing energy management strategies is crucial for enhancing system efficiency and economic performance. This paper focuses on the energy management of hydrogen fuel cell hybrid systems, analyzing the limitations of traditional strategies in dynamic condition adaptability and energy loss control. By introducing intelligent algorithms and multi-objective optimization concepts, a new energy management strategy is developed. This strategy optimizes the collaborative operation between hydrogen fuel cells and auxiliary energy storage devices, achieving efficient energy allocation and utilization. Simulation and experimental results show that this new strategy effectively reduces hydrogen consumption and energy loss, enhances the system's dynamic response and overall performance, and provides strong support for the promotion and application of hydrogen fuel cell hybrid systems.

Hydrogen fuel cell; Hybrid system; Energy management; Strategy optimization; Multi-Objective optimization