In order to improve the fuel economy of fuel cell vehicles and solve the problems of relatively difficult parameter optimization and adjustment,high subjectivity and poor robustness in constructing fuzzy rules and membership functions in conventional fuzzy control,a fuel cell vehicle fuel consumption reduction method based on genetic fuzzy control is proposed.Firstly,physical modeling of components such as motor power,battery capacity,and supercapacitor capacity of fuel cell vehicles;Then,based on this,a method is proposed to improve the fuel economy of automobiles and overcome conventional problems under fuzzy control;Finally,compared with traditional fuzzy control algorithms,simulation experiments were conducted using Matlab/Simulink to test the performance of the algorithm.The experimental results showed that compared to the comparison algorithm,the genetic fuzzy control algorithm has higher fuel economy,power battery state of charge maintenance ability,and fuel cell efficiency,overcoming the problems of parameter optimization and adjustment difficulties,high subjectivity and poor robustness in establishing membership functions in fuzzy control.
维普
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