
Discussion on Power System Modeling and Body Optimization of High-speed Electric Vehicle
Author(s) -
Zexu Wu,
Guoqiang Zhao,
Guangxue Li
Publication year - 2022
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 - 10.1088/1742-6596/2200/1/012004
Subject(s) - electric vehicle , clutch , automotive engineering , power (physics) , electric motor , electric power system , mode (computer interface) , computer science , battery (electricity) , controller (irrigation) , genetic algorithm , engineering , control engineering , electrical engineering , quantum mechanics , machine learning , biology , operating system , agronomy , physics
This paper analyzes the operation mode of high-speed electric vehicle power system, combining with the key points of high-speed electric vehicle power system modeling, including controller (VCU) model, engine model, motor model, power battery model, clutch model, wheel model, power loss model, etc. By studying multi-objective optimization processing, applying genetic algorithm, optimizing variable selection, optimizing problem description, defining constraints, optimizing result analysis, etc., its purpose is to improve the content of high-speed electric vehicle power system and promote the stable development of electric vehicle industry economy.