原始数据
工作(物理)
电池(电)
电动汽车
汽车工程
中国
环境经济学
产品(数学)
计算机科学
产业组织
业务
经济
工程类
机械工程
功率(物理)
物理
几何学
数学
量子力学
法学
政治学
程序设计语言
作者
Yiwen Liu,Zongxiang Tang,Erji Sang
标识
DOI:10.54254/2754-1169/20/20230204
摘要
New energy vehicle is a very popular item in China in recent years, and the battery is the biggest difference between new energy vehicles and fuel vehicles. This work started from the market of raw materials and collected a lot of price data of raw materials of new energy vehicles, especially the battery part. In addition, this work involves the national policy and measures for electric vehicles and the mechanism of product pricing by companies. After obtaining this information, Tesla's price data are used as an example and a statistical gray model is used to build a mathematical model to make up for some of the data deficiencies. After that, this work analyzed the impact of price, policy measures, companies, and market mechanisms on EV battery prices. Through the model, this work roughly predicts the future trend of electric vehicle development.
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