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ABOUT THE 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.

TABLE OF CONTENTS

1. Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation

   • Robert Spotnitz

   Pages 1-29

2. In Situ Measurement of Current Distribution in Large-Format Li-Ion Cells

   • Guangsheng Zhang, Christian E. Shaffer, Xiao Guang Yang, Christopher D. Rahn, Chao-Yang Wang

   Pages 31-68

3. Mesoscale Modeling and Analysis in Electrochemical Energy Systems

   • Venkatesh Kabra, Navneet Goswami, Bairav S. Vishnugopi, Partha P. Mukherjee

   Pages 69-117

4. Development of Computer Aided Design Tools for Automotive Batteries

   • Taeyoung Han, Shailendra Kaushik

   Pages 119-186

5. Experimental Simulations of Field-Induced Mechanical Abuse Conditions

   • Loraine Torres-Castro, Sergiy Kalnaus, Hsin Wang, Joshua Lamb

   Pages 187-198

6. Abuse Response of Batteries Subjected to Mechanical Impact

   • Jinyong Kim, Anudeep Mallarapu, Shriram Santhanagopalan

   Pages 199-242

7. Accelerating Battery Simulations by Using High Performance Computing and Opportunities with Machine Learning

   • Srikanth Allu, Jean-Luc Fattebert, Hsin Wang, Srdjan Simunovic, Sreekanth Pannala, John Turner

   Pages 243-272