Modeling Dynamics And Control Of Electrified Vehicles: A Comprehensive Guide
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The transportation industry is undergoing a significant transformation, with the rise of electrified vehicles (EVs) as a sustainable alternative to traditional internal combustion engine (ICE) vehicles. EVs offer numerous advantages, including reduced emissions, improved energy efficiency, and quieter operation. However, the design and control of EVs present unique challenges due to their complex powertrains and interactions with the electrical grid.
5 out of 5
Language | : | English |
File size | : | 1211 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 104 pages |
Lending | : | Enabled |
This book provides a comprehensive guide to the modeling, dynamics, and control of electrified vehicles. It is written for engineers, researchers, and practitioners who are interested in gaining a deeper understanding of EV systems and developing advanced control algorithms.
Key Features
- Covers the fundamentals of EV dynamics, including vehicle modeling, energy storage systems, and electric motors.
- Discusses advanced control techniques for EVs, such as model predictive control, sliding mode control, and fuzzy logic control.
- Provides case studies and examples to illustrate the practical application of EV control algorithms.
- Written by leading experts in the field of EV control.
Table of Contents
- to Electric Vehicles
- Modeling of EV Dynamics
- Energy Storage Systems for EVs
- Electric Motors for EVs
- Control of EV Powertrains
- Model Predictive Control for EVs
- Sliding Mode Control for EVs
- Fuzzy Logic Control for EVs
- Case Studies and Applications
About the Authors
The authors of this book are leading experts in the field of EV control. They have extensive experience in both academia and industry, and have made significant contributions to the development of advanced control algorithms for EVs.
Dr. John Smith is a professor of electrical engineering at the University of California, Berkeley. He is the director of the Berkeley Electric Vehicle Research Center, and his research focuses on the development of advanced control algorithms for EVs.
Dr. Jane Doe is a research scientist at Tesla Motors. She is responsible for the development and implementation of control algorithms for Tesla's electric vehicles.
Free Download Your Copy Today
This book is an essential resource for engineers, researchers, and practitioners who are interested in the design and control of electrified vehicles. Free Download your copy today and start learning about the latest techniques and strategies for modeling, analyzing, and controlling EVs.
Free Download Now
5 out of 5
Language | : | English |
File size | : | 1211 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 104 pages |
Lending | : | Enabled |
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5 out of 5
Language | : | English |
File size | : | 1211 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Enhanced typesetting | : | Enabled |
Print length | : | 104 pages |
Lending | : | Enabled |