Optimization of transmission parameters for ISG hybrid electric vehicle based on PSO algorithm
WANG Dong-fang
XING Yi-wen
Abstract：In order to further improve the vehicle dynamic performance and fuel economy of ISG hybrid electric vehicle,after parameters matching of powertrain system,advisor software was used to build the vehicle simulation model to verify the feasibility of parameters matching and parts selection.On this basis,transmission main reduction ratio of transmission ratio and transmission of the file were selected as the optimization variables,the related dynamic performance requirements as the constraint conditions,particle swarm optimization (PSO)was used to optimize transmission parameters.Simulation results showed that the maximum climble gradient after optimization increased by 4.3％,fuel consumption per 100 km decreased by 0.8 L,0 ～100 km/h acceleration time decreased by 1.4 s.
Keywords：intergrated starter/generator hybrid electric vehicleoptimization of transmission parametersparticle swarm optimization (PSO)algorithm
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 57-65 )