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        Annual Report on the Big Data of New Energy Vehicle in China (2021)

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        Author(s)
        Wang, Zhenpo
        Language
        English
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        Abstract
        This open access book, based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data 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, it also anticipates the trend of NEVs industry. Various graphs&charts, detailed data this book offers 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.
        URI
        https://library.oapen.org/handle/20.500.12657/58661
        Keywords
        New Energy Vehicles (NEVs); Electric Vehicle (EV); NEVs Technology Improvement; Electric Vehicle Driving Characteristics; Electric Vehicle Consumer’s Usage Habits; Fuel Cell Vehicle (FCV)
        DOI
        10.1007/978-981-19-5508-2
        ISBN
        9789811955082, 9789811955082
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Singapore, 2023
        Imprint
        Springer Nature Singapore
        Classification
        Automotive technology and trades
        Probability and statistics
        Pages
        148
        Rights
        http://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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