Composite power energy management strategy for electric vehicle based on optimized fuzzy controller of genetic algorithm
ZHU Feng
WANG Pengbo
LIU Yonghui
Abstract：In order to allocate the actual output power of electric vehicle power batteries and supercapacitors reasonably and extend the life of batteries,MATLAB/Simulink software is used to simulate and compare the composite energy management system and vehicle driving performance under the logic threshold control strategy,fuzzy control strategy,and genetic algorithm(GA)optimized fuzzy control strategy under the new European driving cycle(NEDC)operating conditions.The simulation results show that the GA optimized fuzzy control strategy effectively reduces the rate of decrease in the state of charge of the power battery and the rate of temperature rise of the power battery,and improves the driving range of the vehicle.Compared with the fuzzy control strategy,the optimized electric vehicle has an increased driving range of 12.1 km,improved maximum climbing performance by 0.3％,and increased maximum speed by 0.2 km/h.Compared with the logic threshold control strategy,the driving range of electric vehicles is increased by 18.8 km,the maximum climbing slope is increased by 0.6％and maximum speed is increased by 0.6 km/h.
Keywords：pure electric vehiclecomposite power supplygenetic algorithmfuzzy control
Publication Date：2025-03-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：7( 32-37,44 )