Open AccessResearch on parameters matching and optimization method of power transmission system for electric logistics vehicle
Author(s) -
Zongze Wang,
Zhao Ke-li,
Li-Da Su
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012033
Subject(s) - matching (statistics) , transmission (telecommunications) , genetic algorithm , electric vehicle , optimal matching , automotive engineering , power transmission , electric power , computer science , range (aeronautics) , power (physics) , electric power system , engineering , telecommunications , mathematics , statistics , physics , quantum mechanics , machine learning , aerospace engineering
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.