TY - GEN AU - Zhou, Quan (editor) AU - Zhang,Haoran AU - Zhou,Quan (Professor of automotive engineering) TI - Big data and electric mobility SN - 9781032299396 AV - TL 220 .B48 PY - 2025/// CY - Boca Raton PB - CRC Press KW - Electric vehicles KW - Design and construction KW - Big data KW - Energy storage N1 - Includes bibliographical references and index; Design, optimization, and management of the power sources in electric vehicles. E-fuels and their implementation in zero-emission propulsion system / Haoye Liu and Qingyang Liu -- Design and integration of energy storage devices for automotive applications / Yuanjian Zhang and Di Zhao -- Vehicle energy storage devices and their second-life applications / Yuanjian Zhang and Di Zhao -- Digital twin : an effective big data processing tool for the optimization of electric vehicles / Quan Zhou, Ji Li, Cetengfei Zhang and Hongming Xu -- Design, management, and control of the powertrain of electric vehicles. Topologies design and component sizing of electrified powertrains / Weichao Zhuang and Haoxuan Dong -- Dedicated thermal propulsion systems for electrified vehicles / Yanfei Li -- Thermal management systems and methods for electrified vehicles / Zhi Li, Xiaoli Yu and Ruicheng Jiang -- Prediction and planning of electric vehicles in real-world driving. Driver behaviour prediction and driver-oriented control of electric vehicles / Ji Li, Quan Zhou, Yanhong Wu and Hongming Xu -- Global control optimizations of electrified vehicles / Nan Xu, Yan Sui, Yan Kon, Qiao Liu and Fenglai Yue -- Traffic-in-the-loop simulation, optimization, and evaluation for electric vehicles / Fuguo Xu -- Driving control and traffic modelling for automated, connected and electrified vehicles / Yinglong He N2 - "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"-- Provided by publisher ER -