Abstract
In recent years, with the increasing problems of environmental pollution and energy security, energy-saving emission reduction and green low-carbon have become the focus of public opinion. Meanwhile, the New Energy Vehicles (NEVs) industry is beginning to rise gradually. Although NEV technology has made significant progress in some key technologies in China, there are still some technical bottlenecks restricting the popularization of NEVs. In order to understand the research hotspots and trends in the technology area of NEV quickly, objectively and intuitively, this paper studies the published literature on technical direction of NEVS in CNKI Database for the past ten years, which is from 2011 to 2020. According to the method of keyword analysis of the bibliometric, all the keywords in the literature are statistically classified as the research object, research method and research hotspot. Therefore, considering the development and the bottleneck of the NEVs industry in China, this paper sums up the hotspots and difficult points on technical problems of NEVs in China for the past ten years, and then establishes the problem method database of the NEV technology in China. It could provide a basis for the development of the NEV technology disciplines, and then contribute to facilitating the solution of the core technology in the field of NEVs. With the advent of intelligent and networked vehicles, artificial intelligence algorithm is applied to the energy management and control system of energy vehicles, so as to make common progress in the industrial production technology of new energy vehicles and artificial intelligence production technology. Big data has brought new challenges and opportunities to automobile Internet marketing. Using the big data system, Internet companies can accurately lock users, timely formulate and adjust refined marketing strategies according to the in-depth mining of big data, and timely quantitatively evaluate each effect. Big data provides technical basic support for Internet precision marketing in the automotive industry. With the big data system, brand marketing and effect marketing can be more accurate, and the tracking of effects can be more specific, so as to greatly reduce cost waste and improve user conversion rate.
New Energy Vehicles Sales Prediction Method and Empirical Research against the Backdrop of Big Data
