
- 312 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Big Data and Electric Mobility
About this book
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.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Preface
- Editor Biographies
- List of Contributors
- Chapter 1 Introduction
- Part I Design, Optimization, and Management of the Power Sources in Electric Vehicles
- Part II Design, Management, and Control of the Powertrain of Electric Vehicles
- Part III Prediction and Planning of Electric Vehicles in Real-World Driving
- Index