Annual Report on the Big Data of New Energy Vehicle in China (2024)
暫譯: 2024年中國新能源車輛大數據年報

National Big Data Alliance of New Energy, Beijing Ev New Energy Vehicle Big Data A, The Automotive Big Data Application Bran

  • 出版商: Springer
  • 出版日期: 2026-02-14
  • 售價: $2,840
  • 貴賓價: 9.5$2,698
  • 語言: 英文
  • 頁數: 249
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819682320
  • ISBN-13: 9789819682324
  • 相關分類: 大數據 Big-data
  • 海外代購書籍(需單獨結帳)

商品描述

This open access book is China's first new-energy vehicle (NEV) research report based on static indicators and dynamic big data from local electric vehicles. By the end of 2024, China's National Monitoring and Management Platform for NEVs has accumulated access to over 18 million electric vehicles that run dynamically on the national platform and are monitored in real-time. Using the real-time big data collected by the platform, this book delves into the main annual technological progress of NEVs and the vehicle operating characteristics and anticipates the NEV industry trend. Data elements' vital role in promoting the automotive industry's sustainable development is emphasized. With the continuous accumulation of data and technological progress, data elements have become one of the core driving forces for developing the new energy vehicle industry. Through the processing and organization of data elements from the vehicle usage end, the report presents to the public research content on the promotion and application of new energy vehicles in different scenarios, technological progress, vehicle operation and charging, and typical urban applications, as well as other industry hot topics in the form of "annual routine research+hot content." The target readers include government officials, researchers from institutions, and technology workers from vehicle and component enterprises. This book provides an essential reference basis for government decision-making, automotive enterprise strategic decision-making, and scientific research work.

商品描述(中文翻譯)

這本開放存取的書籍是中國首部基於靜態指標和地方電動車動態大數據的新能車(NEV)研究報告。到2024年底,中國國家新能源汽車監測管理平台已累積接入超過1800萬輛在國家平台上動態運行並實時監控的電動車。利用平台收集的實時大數據,本書深入探討了新能源汽車的主要年度技術進展、車輛運行特性,並預測新能源汽車產業趨勢。數據要素在促進汽車產業可持續發展中的重要角色被強調。隨著數據的持續累積和技術進步,數據要素已成為發展新能源汽車產業的核心驅動力之一。通過對車輛使用端數據要素的處理和整理,報告向公眾展示了在不同場景中推廣和應用新能源汽車的研究內容,包括技術進展、車輛運行與充電、典型城市應用以及其他行業熱點話題,以「年度例行研究+熱點內容」的形式呈現。目標讀者包括政府官員、機構研究人員以及來自車輛和零部件企業的技術工作者。本書為政府決策、汽車企業戰略決策和科學研究工作提供了重要的參考依據。

作者簡介

Wang Zhenpo, is currently a professor in Beijing Institute of Technology. Professor Wang has long been engaged in theoretical research and key technical breakthrough related to new energy vehicles. Focusing on the safe, efficient and reliable application of NEVs, he has made significant contributions in operation control, charging prevention and control, distributed drive cooperative control, etc. In 2018, he was selected for the National High-level Leading Talent Program. Over the past five years, he had presided over five key projects of the National Natural Foundation of China and the National Key R&D Program, etc. He published more than 50 SCI papers as the first author and corresponding author (11 ESI highly cited papers, one paper in Nature Energy, and one paper in PNAS), with more than 10,000 cumulative citations, and he was selected as one of the "Clarivate" highly cited scientists in 2023 and 2024. "He has been selected as a Clarivate Highly Cited Scientist in 2023. He has published 11 monographs (translations) as the first author, and has granted over 50 patents as the first inventor. He has been awarded the second prize of National Scientific and Technological Progress and four first prizes of provincial and ministerial level scientific research. He has led the selection of the Ministry of Education's Curriculum Civics Teaching Masters and Teaching Teams, and has won the second prize of the National Teaching Achievement Award and the first prize of the Beijing Municipal Teaching Achievement Award.

作者簡介(中文翻譯)

王振波,目前是北京理工大學的教授。王教授長期從事與新能源車輛相關的理論研究和關鍵技術突破。專注於新能源車輛的安全、高效和可靠應用,他在運行控制、充電防控、分佈式驅動協同控制等方面做出了重要貢獻。2018年,他入選國家高層次領軍人才計畫。在過去五年中,他主持了五個國家自然科學基金和國家重點研發計畫等關鍵項目。他以第一作者和通訊作者身份發表了50多篇SCI論文(包括11篇ESI高被引論文、一篇發表於《Nature Energy》的論文和一篇發表於《PNAS》的論文),累計引用次數超過10,000次,並於2023年和2024年被評選為“Clarivate”高被引科學家。他於2023年被選為Clarivate高被引科學家,作為第一作者出版了11部專著(翻譯),並作為第一發明人獲得了50多項專利。他獲得了國家科技進步二等獎和四項省部級科研一等獎。他主導了教育部課程思政教學名師和教學團隊的選拔,並獲得了國家教學成果獎二等獎和北京市教學成果獎一等獎。