Computer Aided Engineering of Batteries
Springer International Publishing
ISBN 978-3-031-17607-4
Standardpreis
Bibliografische Daten
eBook. PDF
2023
XI, 280 p. 1 illus..
In englischer Sprache
Umfang: 280 S.
Verlag: Springer International Publishing
ISBN: 978-3-031-17607-4
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Computer Science Computer Science (R0) Modern Aspects of Electrochemistry
Produktbeschreibung
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.
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