Analysis and Optimization of Communication Strategy of New Energy Vehicles at Home and Abroad Based on Data Mining

Abstract

More and more new energy vehicles have entered people's vision. The new energy vehicle industry has experienced a process from germination to rapid development in a short period of time. From the international comparison of new energy vehicle technology and industrialization level, China's new energy bus technology industrialization scale ranks first in the world. It covers a variety of technical routes such as plug-in, incremental, and pure electric, as well as a variety of energy supply methods such as slow charging, fast charging, battery replacement, online charging, and dual source fast charging. In this paper, based on the DM(data mining) based communication of new energy vehicles at home and abroad, relevant research has been carried out. With regard to the satisfaction degree of charging equipment, the median is 17, the mode is 17, and the average is 19.93. The overall distribution of samples is relatively centralized, which also shows that people are basically satisfied with the charging equipment, but they think that there is also a lot of room for improvement. As one of the most successful cases in the field of new energy vehicles, new energy vehicles provide a lot of development experience. At the moment when DM technology is increasingly prosperous, the integration and interaction between the new energy vehicle industry and DM will contribute to a more rapid and healthy development of new energy vehicles at home and abroad.