Optimization Of Regenerative Braking Fuzzy Control Strategy For Plug-in Hybrid Electric Vehicle

Plug-in hybrid electric vehicle,as the best product for the transition from fuel vehicles to new energy vehicles,will have a good development prospect before the short driving range and fast charging technology of new energy vehicles are effectively solved.In view of the problem that frequent starting and stopping of PHEV results in a large amount of braking energy consumption,this paper proposes a fuzzy control strategy of PHEV regenerative braking,which can achieve the best energy recovery effect under the condition of ensuring braking safety,which is of great significance to the wide use of PHEV.This paper analyzes the structure arrangement of PHEV regenerative braking system and the working principle of motor regenerative braking during vehicle operation.According to the main parameters and performance index requirements of the research model,it matches the required parameters for the power transmission components,such as engine,ISG motor and vehicle battery,and according to the actual working characteristics of the whole vehicle and its components,and combined with advisor vehicle simulation modeling idea,Build the vehicle model which can complete the reliability verification of regenerative braking fuzzy control strategy,build the model of engine,motor and battery of power transmission system components based on MATLAB/Simulink.Then analyze the dynamic characteristics of PHEV braking,and analyze three commonly used braking force distribution strategies in order to ensure safe braking;at the same time,the idea of fuzzy control is introduced to complete the establishment of the regenerative braking fuzzy control strategy model,and the model is imported into the advisor vehicle simulation model,and analyzed by using different simulation conditions.In order to solve the shortcomings that most of the parameters of fuzzy controller are set based on the experience of engineers,multi Island genetic algorithm is used to optimize membership function and fuzzy rule parameters in the regenerative braking fuzzy control strategy.The isight-advisor joint simulation platform is established based on iSIGHT.The membership function and fuzzy rule parameters are replaced by the original parameters in Advisor after optimization,and advisor is run again for vehicle simulation.The results show that the fuzzy control strategy of regenerative braking based on multi Island genetic algorithm can further increase the efficiency of brake energy recovery,and reduce the fuel consumption effectively,and has better adaptability to the working conditions.