Big Data and Electric Mobility
暫譯: 大數據與電動移動性
Zhang, Haoran, Zhou, Quan
- 出版商: CRC
- 出版日期: 2025-03-30
- 售價: $5,550
- 貴賓價: 9.5 折 $5,273
- 語言: 英文
- 頁數: 288
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032299398
- ISBN-13: 9781032299396
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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 book details how to assess electric mobility characteristics within electric vehicles, discussing energy management methods, automated systems, and the enormous potential of data resources mined from software, navigation systems and connectivity.
Big Data and Electric Mobility presents methods to mine data specifically for electric vehicles, to comprehend their performance and to present opportunities to develop data-driven technological advancements. Including contributions from experts across the world, the book will look at topics such as human mobile behaviour, battery charging and health, powertrain simulation, energy management and multiphysics-constrained optimal charging.
The book will be key reading for researchers and engineers in the field of automotive engineering, electrical engineering and data mining.
商品描述(中文翻譯)
這本書詳細說明了如何評估電動車輛的電動移動特性，討論了能源管理方法、自動化系統，以及從軟體、導航系統和連接性中挖掘的數據資源的巨大潛力。
《大數據與電動移動》提出了專門針對電動車輛挖掘數據的方法，以理解其性能並展示開發數據驅動技術進步的機會。書中包括來自全球專家的貢獻，將探討人類移動行為、電池充電與健康、動力系統模擬、能源管理以及多物理約束的最佳充電。
這本書將是汽車工程、電氣工程和數據挖掘領域研究人員和工程師的重要讀物。
作者簡介
Dr. Haoran Zhang is a researcher with an interdisciplinary background, holding dual Bachelor's degrees in Engineering and Economics, complemented by two Ph.D. degrees in Oil & Gas Storage and Transportation Engineering and Environmental science. His research is at the forefront of sustainable development, focusing on clean energy supply chains, green transportation, and smart urban energy systems. His innovative research has garnered prestigious accolades, including the Energy Globe Award, the R&D 100 Award, the John Tiratsoo Award for Young Achievement, and the Smart 50 Award among others.
Quan Zhou is Professor of Automotive Engineering in the School of Automotive Studies at Tongji University, Shanghai, China. He received his Ph.D. in mechanical engineering from the University of Birmingham, Birmingham, UK, in 2019. Before joining Tongji University with the NSFC International Fellowship, Prof. Zhou was Assistant Professor and Research Fellow at the University of Birmingham. His research interests include evolutionary computation, fuzzy logic, reinforcement learning, and their application in automotive systems. He is associate editor for IEEE Transactions on Transportation Electrification and IET Journal of Intelligent Transportation.
作者簡介(中文翻譯)
張浩然博士是一位具有跨學科背景的研究者，擁有工程學和經濟學的雙學士學位，並擁有石油與天然氣儲存及運輸工程和環境科學的兩個博士學位。他的研究位於可持續發展的前沿，專注於清潔能源供應鏈、綠色交通和智慧城市能源系統。他的創新研究獲得了多項著名獎項，包括能源地球獎、R&D 100獎、約翰·提拉茲獎（John Tiratsoo Award for Young Achievement）和智慧50獎等。
周全是中國上海同濟大學汽車研究學院的汽車工程教授。他於2019年在英國伯明翰大學獲得機械工程博士學位。在加入同濟大學之前，周教授曾擔任伯明翰大學的助理教授和研究員。他的研究興趣包括進化計算、模糊邏輯、強化學習及其在汽車系統中的應用。他是《IEEE交通電氣化期刊》和《IET智能交通期刊》的副編輯。
