Research on Fuzzy Control-Based Energy Management Strategies for Fuel Cell Electric Light Trucks
Taking a fuel cell electric light truck as the research object,a simulation model of the power system was built using Matlab/Simulink,in order to improve the economic efficiency and durability of the fuel cell system through the optimization of its energy management strategy.Based on the foundational fuzzy control,an improved fuzzy control strategy was developed to restrict the rate of change in the fuel cell output power.The performance of this strategy was compared with the finite state machine control strategy and the original fuzzy control to validate the simulation.The simulation results show that,under the NEDC and UDDS cycle conditions,the hydrogen consumption of the improved fuzzy control strategy is reduced by 5.65%and 8.29%respectively compared to the original strategy.Compared with the finite state machine control strategy,the improved fuzzy control strategy yields a reduction in hydrogen consumption by 16.63%and 10.64%with smaller fluctuations in the fuel cell output power,which results in a more stable performance and enhanced economic efficiency and durability of the fuel cell system.
fuel cell electric light truckenergy managementeconomyfuzzy control
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