A Comparative Study on Mapping Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology

Abstract

Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the user experience of its users. This paper is based on the text mining of big data natural language processing. Taking the user experience reviews of typical Battery electric vehicles as the research object, by comparing the user experience reviews of users of two typical electric vehicles that are more popular in China on Quora with Chinese characteristics, the specific research models are Tesla Model 3 which is representative of international brands and BYD Han EV which represents a domestic brand. After data collection, filtering, extraction, analysis, and mapping. The specific findings are as follows: Firstly, In terms of the vehicle hardware itself, the user experience of both focuses on the “battery”, Model3 Focusing on “brake”, the user experience of Han EV pays more attention to “appearance” and “rear space”; Secondly, in terms of vehicle software configuration, both pay attention to “system”, and Han EV users focus more on the features that are not obvious, Model 3 its user experience focuses on “charging”, “marketing” and “performance”; Thirdly, in terms of subjective feeling, both focus on “driving” and “experience”, and Model 3 focuses more on “owner” and “price”. Overall, we have the conditions to conclude that in the context of the experience economy, the application of artificial intelligence technology uses big data to actively “restore” user experience in real scenarios, and optimize the user experience of traditional subjective questionnaires based on small data. Ground on the research of group characteristics, explore the possibility of individual user experience characteristics that can highly fit the characteristics of user groups in the future.