
This open access book, based on static indicators and dynamic big data from local electric vehicles, is the first research annual report on the Big Data of New Energy Vehicles (NEVs) in China. Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, and it also anticipates the trend of NEVs industry. Various graphs and charts and detailed data this book will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.
Big Data, NEVs Technology Improvement, Electric Vehicle Charging Characteristics, Electric Vehicle (EV), Fuel Cell Vehicles (FCVs), thema EDItEUR::U Computing and Information Technology::UN Databases, thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries::KNDR Vehicle and transport manufacturing industries, New Energy Vehicles (NEVs), Electric Vehicle Driving Characteristics, thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics, Electric Vehicle Sales Promotion, Electric Vehicle Consumer’s Usage Habits, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRC Automotive technology and trades
Big Data, NEVs Technology Improvement, Electric Vehicle Charging Characteristics, Electric Vehicle (EV), Fuel Cell Vehicles (FCVs), thema EDItEUR::U Computing and Information Technology::UN Databases, thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KND Manufacturing industries::KNDR Vehicle and transport manufacturing industries, New Energy Vehicles (NEVs), Electric Vehicle Driving Characteristics, thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics, Electric Vehicle Sales Promotion, Electric Vehicle Consumer’s Usage Habits, thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRC Automotive technology and trades
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
