Research on parameter matching and optimization of power split hybrid electric vehicle

doi:10.16731/j.cnki.1671-3133.2024.02.008

Abstract

Abstract: For power split hybrid electric vehicles,firstly,based on the design parameters and power performance requirements of the entire vehicle,parameter matching was performed on the transmission system components such as the motor,power battery pack,engine,main reducer,and planetary gear,and AVL-Cruise software was used to establish the target vehicle model. Secondly,on the premise of meeting the power performance goals,a joint simulation model was built using AVL-Cruise and Isight software,using particle swarm optimization algorithm and multi island genetic algorithm respectively.The planetary gear characteristic parameters and main reducer transmission ratio were used as optimization parameters,and the weighted sum of fuel and electricity consumption per 100 km was used as the optimization objective for optimization research.The calculation results of the two optimization algorithms were compared and analyzed to obtain the optimal structural parameters that balance power and economy,which provide a theoretical basis for studying the power split hybrid electric vehicle transmission system.

Key words: power split, hybrid electric vehicles, parameter matching, particle swarm optimization algorithm, optimization research

CLC Number:

U463.2

WANG Huan, CUI Luxing, GE Shuaishuai, ZHANG Zhigang. Research on parameter matching and optimization of power split hybrid electric vehicle[J]. Modern Manufacturing Engineering, 2024, 521(2): 53-60.

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