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Annual Report on the Big Data of New Energy Vehicle in China (2022)

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  • Open Access
  • © 2024

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Overview

  • Presents a whole picture of China's technology progress pertain to different NEVs
  • Summarizes the operation characteristics and charging characteristics of vehicles in different scenes in China
  • Provides comprehensive, authoritative and systematic data of NEVs
  • This book is open access, which means that you have free and unlimited access

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About this book

This is an Open Access book. 

This 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.

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Keywords

Table of contents (8 chapters)

Authors and Affiliations

  • Beijing Institute of Technology, Beijing, China

    Zhenpo Wang

About the author

Wang Zhenpo is currently a distinguished professor and doctoral supervisor in the department of Mechanical Engineering, Beijing Institute of Technology. He has been selected into Program for New Century Excellent Talents in University of the Ministry of Education (2013), the Hundred Talents Program of Science and Technology (2015), and Young and Middle-aged Leading Talents in Science and Technology Innovation by the Ministry of Science and Technology (2016). He has also been awarded as Science and Technology Innovation Leading Talent of National Ten Thousand Talents Program (2018), fellow of China Society of Automotive Engineers (2021), and Outstanding Technology Innovation Leader of Chinese Transportation Association (2021).  

Professor Wang has long been engaged in theoretical research and key technical breakthrough related to new energy vehicles. Centering on the safe, efficient and reliable application of NEVs, he has made significant contributions to operation control, charging prevention, distributed driving, collaborative control and other aspects. Besides, professor Wang has headed over 10 government-sponsored researches such as key projects of National Natural Science Foundation of China (NSFC) and National Key Research & Development Program of China. He has published more than 80 SCI/EI papers and 11 monographs as the first author or corresponding author, and authorized 11 patented inventions as the first inventor. He is also a holder of 7 prizes of both national and provincial levels, and experts of general groups on national key research and development project “Integrated Transportation and Intelligent Transportation” for the 13th Five-Year Plan and “New Energy Vehicles” for the 14th Five-Year Plan.


Bibliographic Information

  • Book Title: Annual Report on the Big Data of New Energy Vehicle in China (2022)

  • Authors: Zhenpo Wang

  • DOI: https://doi.org/10.1007/978-981-99-6411-6

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: China Machine Press Co., Ltd. 2024

  • Hardcover ISBN: 978-981-99-6410-9Published: 16 November 2023

  • Softcover ISBN: 978-981-99-6413-0Published: 16 November 2023

  • eBook ISBN: 978-981-99-6411-6Published: 15 November 2023

  • Edition Number: 1

  • Number of Pages: XVIII, 335

  • Number of Illustrations: 5 b/w illustrations, 390 illustrations in colour

  • Topics: Automotive Engineering, Statistics, general, Applied Statistics

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