Computer Aided Engineering of Batteries
This edited volume, with contributions from the Computer Aided Engineering for Batteries (CAEBAT) program, provides firsthand insights into nuances of implementing battery models in actual geometries. It discusses practical examples and gaps in our understanding, while reviewing in depth the theoret...
Сохранить в:
| Соавтор: | |
|---|---|
| Другие авторы: | |
| Формат: | Электронный ресурс eКнига |
| Язык: | английский |
| Опубликовано: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Редактирование: | 1st ed. 2023. |
| Серии: | Modern Aspects of Electrochemistry,
62 |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/978-3-031-17607-4 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| Итог: | This edited volume, with contributions from the Computer Aided Engineering for Batteries (CAEBAT) program, provides firsthand insights into nuances of implementing battery models in actual geometries. It discusses practical examples and gaps in our understanding, while reviewing in depth the theoretical background and algorithms. Over the last ten years, several world-class academics, automotive original equipment manufacturers (OEMs), battery cell manufacturers and software developers worked together under an effort initiated by the U.S. Department of Energy to develop mature, validated modeling tools to simulate design, performance, safety and life of automotive batteries. Until recently, battery modeling was a niche focus area with a relatively small number of experts. This book opens up the research topic for a broader audience from industry and academia alike. It is a valuable resource for anyone who works on battery engineering but has limited hands-on experience with coding. |
|---|---|
| Объем: | XI, 280 p. 1 illus. online resource. |
| ISBN: | 9783031176074 |
| ISSN: | 2197-7941 ; |
| DOI: | 10.1007/978-3-031-17607-4 |