As a main way of logistics transportation, electric logistics vehicle is beneficial to logistics industry and save energy. Parameters matching and optimization method of power transmission system for electric logistics vehicle is studied in this article. Data processing rules and principles are created for CHTC-LT working condition. Working condition and genetic algorithm are used for parameters matching and transmission ratio optimization of power transmission system. Driving range of electric logistics vehicle could be improved.

In order to provide wider speed range and smaller volume, wet multi-plate clutches and planetary gears are utilized to design a three-speed transmission system, electric drive axle housing is designed according to the transmission system. Aluminum alloy is used to perform lightweight design. Firstly, the finite element (FE) models of electric drive axle housing are built. Secondly the stiffness and strength simulation results of electric drive axle housing under different conditions are obtained. According to the simulation results, the thickness of electric drive axle housing is reduced and the stiffeners are added. The FE results show that the quality of the optimized shell is greatly reduced on the basis of the original stiffness and durability.