Big Data and Electric Mobility
Language: English
Published by Taylor & Francis Ltd (Sales) Jun 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 96.82
Quantity: 2 available
Add to basketItem description from seller
Neuware - 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 behavior, 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 fields of automotive engineering, electrical engineering, and data mining.
Seller Inventory # 9781032299402
- Title
- Big Data and Electric Mobility
- Author
- Quan Zhou
- Publisher
- Taylor & Francis Ltd (Sales) Jun 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1032299401
- ISBN 13
- 9781032299402
- Item weight
- 413 grams
- Dimensions
- 229x152x16 mm
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 behavior, 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 fields of automotive engineering, electrical engineering, and data mining.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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