Research on Hydraulic Regenerative Energy Control Strategy for Hybrid Electric Vehicles
A fuzzy Q-learning based optimization algorithm for energy recovery efficiency of hydraulic regenerative braking system is proposed for hybrid electric vehicle braking energy recovery control.Firstly,a vehicle dynamics model based on parallel hydraulic hybrid power system was established,and the regenerative braking control strategy of the vehicle was optimized using fuzzy Q-learning method.On this basis,an experimental platform was established to verify the accuracy of the hydraulic regenerative braking simulation model.Compared with the fuzzy control strategy and dynamic programming algorithm based on expert experience,the vehicle energy-saving rate optimized by the fuzzy Q-learning algorithm has increased by 9.62％and 8.91％,respectively.
hybrid electric vehiclesfuzzy Q-learningparallel hydraulichydraulic regenerative brakingenergy recovery
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维普
