Santhanagopalan Computer Aided Engineering of Batteries

1. Auflage 2023
ISBN: 978-3-031-17607-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 280 Seiten, eBook

Reihe: Computer Science (R0)

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.

Zielgruppe

Research

Autoren/Hrsg.

Santhanagopalan, Shriram

Inhaltsverzeichnis

Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation
Robert Spotnitz
In situ Measurement of Current Distribution in Large-format Li-ion CellsGuangsheng Zhang, Christian E. Shaffer, Xiao Guang Yang, Christopher D. Rahn and Chao-Yang Wang
Mesoscale Modeling and Analysis in Electrochemical Energy SystemsVenkatesh Kabra, Navneet Goswami, Bairav S. Vishnugopi and Partha P. Mukherjee
Development of Computer Aided Design Tools for Automotive BatteriesTaeyoung Han and Shailendra Kaushik
Experimental Simulations of Field Induced Mechanical Abuse ConditionsLoraine Torres-Castro, Sergiy Kalnaus, Hsin Wang and Joshua Lamb
Abuse Response of Batteries subjected to Mechanical ImpactJinyong Kim, Anudeep Mallarapu and Shriram Santhanagopalan
Accelerating Battery Simulations by using High Performance Computing and Opportunities with Machine LearningSrikanth Allu, Jean-Luc Fattebert, Hsin Wang, Srdjan Simunovic, Sreekanth Pannala and John Turner

Über Autor(innen)

Shriram Santhanagopalan leads the Battery Materials, Analysis and Diagnostics team at the Center for Integrated Mobility Systems in the National Renewable Energy Laboratory, USA. He received his Ph.D in Chemical Engineering from the University of South Carolina and over the last ten years Shriram has developed models, materials and test methodology to address the performance and safety limitations of batteries, at NREL. He has worked extensively with several leading battery manufacturers and vehicle OEMs around the world. Before joining NREL, Shriram was as a Senior Research Scientist at Celgard, LLC, where he was responsible for performing fundamental studies of electrodes, evaluating polymers, developing new characterization tools for large-format batteries, and design of new Li-2 components for automotive batteries. He actively participates in committees on battery standards. He has authored over 60 peer-reviewed articles and several book chapters, including a book he co-authored with the NREL team.