Big Data Mining Analysis of Key Indicators of Online New Energy Vehicles

Author:

Gu Caidong,Liu Zhaobin,Fang Ligang

Abstract

Abstract In this paper, more than 300 new energy vehicle key indicators of online sales are mined, and big data visualization analysis is carried out. In October 2018, big data mining analysis was conducted on the brand, model, pure electric endurance, slow charging time, fast charging time, battery capacity, maximum power, maximum torque, monthly sales volume, annual cumulative sales volume, monthly transaction price, user score, number of public praise, manufacturer guidance price (low) and manufacturer guidance price (high) of each new energy vehicle market in Sina auto.com. The results show that the average pure electric endurance of new energy vehicles is 210.3 km (with a maximum endurance of 613 km), and the average fast charging time is 1.7 hours (with a minimum duration of half an hour). The best-known brand of new energy vehicles is BYD, with the highest market share of BYD and Toyota.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Construction of New Energy Vehicle User Segmentation Model Based on Data Mining Algorithm;2023 5th International Conference on Decision Science & Management (ICDSM);2023-03-03

2. Analysis of Real-time Online Key Parameters of New Energy Pure Electric Vehicles Based on Big Data Mining;2022 8th Annual International Conference on Network and Information Systems for Computers (ICNISC);2022-09

3. Research on Hubei Tourism Talent Demand and University Tourism Education Training Model Based on Computer Big Data Mining Technology;Journal of Physics: Conference Series;2021-02-01

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