Computer Aided Engineering of Batteries

This edited volume discusses the practical aspects of implementing battery models in actual geometries, providing insights from the Computer Aided Engineering for Batteries (CAEBAT) program. It covers theoretical background, algorithms, and gaps in understanding, making it a valuable resource for industry and academia.

Format: Hardback
Length: 280 pages
Publication date: 15 March 2023
Publisher: Springer International Publishing AG

This edited volume, with contributions from the Computer Aided Engineering for Batteries (CAEBAT) program, provides in-depth insights into the complexities of implementing battery models in real-world geometries. It delves into practical examples and areas where our understanding needs to be strengthened, while thoroughly reviewing the theoretical background and algorithms. Over the past decade, a collaborative effort involving renowned academics, automotive original equipment manufacturers (OEMs), battery cell manufacturers, and software developers has been spearheaded by the U.S. Department of Energy. The goal was to develop robust and validated modeling tools to simulate the design, performance, safety, and lifespan of automotive batteries. Until recently, battery modeling was a specialized field with a limited number of experts. This book broadens the research topic's appeal to a wider audience, including industry professionals and academia. It serves as a valuable resource for individuals working in battery engineering but may have limited hands-on coding experience.

The book begins by introducing the fundamental principles of battery modeling and highlighting the importance of accurate representation in predicting battery performance. It then explores the various types of battery models used in the industry, including physical models, empirical models, and machine learning-based models. Each model is discussed in detail, including its advantages, limitations, and applications.

The next section focuses on the practical aspects of implementing battery models in real-world geometries. It discusses the challenges associated with modeling complex battery structures, such as cell shape, interconnection, and packaging. The book provides examples of successful modeling approaches and techniques that have been used in the past. It also highlights the importance of considering factors such as temperature, voltage, and current during modeling to ensure accurate predictions.

The third section examines the theoretical background and algorithms used in battery modeling. It discusses the principles of electrochemistry, thermodynamics, and material science that underpin battery behavior. The book provides a comprehensive review of the relevant literature and introduces the key mathematical models and computational methods used in battery modeling. It also discusses the challenges associated with modeling dynamic processes, such as charge and discharge, and the importance of considering multiple scales and time domains.

Throughout the book, practical examples are provided to illustrate the concepts and techniques discussed. These examples cover a wide range of applications, including electric vehicles, grid-scale storage systems, and portable electronics. They demonstrate the benefits of using battery models in designing and optimizing battery systems and highlight the gaps in our understanding that need to be addressed.

In conclusion, this edited volume offers a comprehensive and up-to-date overview of battery modeling. With contributions from leading experts in the field, it provides valuable insights into the complexities of implementing battery models in real-world geometries. It is a valuable resource for researchers, engineers, and industry professionals working on battery engineering, and it will help to advance the field's understanding and development.

Weight: 606g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031176067
Edition number: 1st ed. 2023