Overview
- Practical examples on how to use models for designing lithium-ion cells
- Case studies from Industry experts & automotive original equipment manufacturers (OEMs)
- In depth discussion of implementing battery models on realistic geometries
Part of the book series: Modern Aspects of Electrochemistry (MAOE, volume 62)
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Table of contents (7 chapters)
Keywords
About this book
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.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Computer Aided Engineering of Batteries
Editors: Shriram Santhanagopalan
Series Title: Modern Aspects of Electrochemistry
DOI: https://doi.org/10.1007/978-3-031-17607-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2023
Hardcover ISBN: 978-3-031-17606-7Published: 15 March 2023
Softcover ISBN: 978-3-031-17609-8Published: 15 March 2024
eBook ISBN: 978-3-031-17607-4Published: 14 March 2023
Series ISSN: 0076-9924
Series E-ISSN: 2197-7941
Edition Number: 1
Number of Pages: XI, 280
Number of Illustrations: 1 b/w illustrations
Topics: Energy Materials, Computer-Aided Engineering (CAD, CAE) and Design, Electrochemistry, Mathematical Modeling and Industrial Mathematics, Data Engineering, Data Engineering