Details
Smart Battery Management for Enhanced Safety
Key Technologies on New Energy Vehicles
|
CHF 165.50 |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 24.08.2024 |
| ISBN/EAN: | 9789819746392 |
| Sprache: | englisch |
| Anzahl Seiten: | 280 |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
This book consolidates studies in the rapidly and foreseeably growing field of battery management. The primary focus is to overview the management of batteries (Li-ion batteries and some cases of flow batteries) with the fusion of mechanism and AI-based approaches. The book can be categorized into three groups, i.e., (i) mechanism and AI-based battery modeling and parameterization, (ii) AI-based diagnostic, early warning, and active safety control, and (iii) emerging techniques of smart battery and smart management, combining the emerging areas of embedded sensing and reconfigurable batteries. It is well recognized that the battery safety and management are the kernel of energy storage, renewable utilization, and low-carbon society, which have been highly popular in recent years. The exploration of AI techniques for advanced battery management has been seldom discussed systematically before. Moreover, the combination of AI and mechanism approaches can remarkably enhance the battery management, which however has never been focused on in previous books. Therefore, this book can add new knowledge to the paradigm and attract the attention of academics, scientists, engineers, and practitioners. It is a reference book for researchers and engineers in related fields. The step-by-step guidance, comprehensive introduction, and case studies make it accessible to audiences of different levels, from graduates to experienced engineers.
<p>Overview of battery management.- Modeling.- State Estimation.- Health Diagnostic.- Charging.- Smart battery and management.</p>
<p>Zhongbao Wei received the B.Eng. and the M.Sc. degrees in instrumental science and technology from Beihang University, China, in 2010 and 2013, and the Ph.D. degree in power engineering from Nanyang Technological University, Singapore, in 2017.</p>
<p>He has been a research fellow with Energy Research Institute @ NTU, Nanyang Technological University from 2016 to 2018. He is currently a professor in vehicle engineering with the National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, China. He has authored more than 100 peer-reviewed articles. His research interests include electrified transportation and battery management. He serves as Associate Editor for many international journals like IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Transportation Electrification.</p><br>
<p>He has been a research fellow with Energy Research Institute @ NTU, Nanyang Technological University from 2016 to 2018. He is currently a professor in vehicle engineering with the National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, China. He has authored more than 100 peer-reviewed articles. His research interests include electrified transportation and battery management. He serves as Associate Editor for many international journals like IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Transportation Electrification.</p><br>
This book consolidates studies in the rapidly and foreseeably growing field of battery management. The primary focus is to overview the management of batteries (Li-ion batteries and some cases of flow batteries) with the fusion of mechanism and AI-based approaches. The book can be categorized into three groups, i.e., (i) mechanism and AI-based battery modeling and parameterization, (ii) AI-based diagnostic, early warning, and active safety control, and (iii) emerging techniques of smart battery and smart management, combining the emerging areas of embedded sensing and reconfigurable batteries. It is well recognized that the battery safety and management are the kernel of energy storage, renewable utilization, and low-carbon society, which have been highly popular in recent years. The exploration of AI techniques for advanced battery management has been seldom discussed systematically before. Moreover, the combination of AI and mechanism approaches can remarkably enhance the battery management, which however has never been focused on in previous books. Therefore, this book can add new knowledge to the paradigm and attract the attention of academics, scientists, engineers, and practitioners. It is a reference book for researchers and engineers in related fields. The step-by-step guidance, comprehensive introduction, and case studies make it accessible to audiences of different levels, from graduates to experienced engineers.
Combines mechanism modeling and AI, data science towards the enhanced battery management Introduces the emerging smart batteries and their unique management strategies Address the urgent demand of safety monitoring and control with the trend of electrified transportation and energy storage
Diese Produkte könnten Sie auch interessieren:
