Open AccessResearch on Parameter Matching and Optimization of Pure Electric Vehicle Power System Based on Computer
Author(s) -
Xianhuan Wu
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 - 10.1088/1742-6596/1744/2/022079
Subject(s) - matching (statistics) , automotive engineering , key (lock) , electric vehicle , electric power system , power (physics) , computer science , electric power , environmental economics , engineering , economics , computer security , statistics , physics , mathematics , quantum mechanics
The rapid increase of car ownership makes a lot of energy consumption, but also leads to environmental pollution. Meanwhile, the emission of pollutants is low or even zero, which attracts the attention of government departments and relevant departments of automobile industry. As an important “organ” of electric vehicles, the parameter adjustment of power system has a far-reaching impact on the power and economy of vehicles. In this paper, the parameters of the power system are adjusted for a specific type of electric vehicle. A certain type of electric vehicle is taken as the basis of this paper, and the key technologies and key points and difficulties in the power system parameter matching are explored.