Simulation modeling improves energy management in hydrogen vehicles, highlighting effective power algorithms.
The efficiency of the hydrogen vehicle depends on the energy management algorithm, which ensures the distribution of power among different energy sources to meet the full power demand and supply the load. In this paper, a fuel cell power management strategy is developed. An algorithm is implemented that includes different types of strategies, such as: PID controller, state machine developed in MATLAB Simulink, equivalent consumption minimization algorithm and fuzzy logic controller. In addition, the paper presents the requirements for the vehicle system and presents the development of a simulation model of a hybrid hydrogen vehicle using the Simscape library of the MATLAB Simulink package. The results of the simulation model using different energy management strategies are presented, and the analysis of the simulation results is carried out. Based on the comparison of the operating parameters of the power distribution system, the most effective algorithm for managing the power demand is identified.
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Rakhmatullin et al. (2025) studied this question.
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