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…mehr
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.
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.
Inhaltsangabe
Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation.- In situ Measurement of Current Distribution in Large-format Li-ion Cells.- Mesoscale Modeling and Analysis in Electrochemical Energy Systems.- Development of Computer Aided Design Tools for Automotive Batteries.- Experimental Simulations of Field Induced Mechanical Abuse Conditions.- Abuse Response of Batteries subjected to Mechanical Impact.- Accelerating Battery Simulations by using High Performance Computing and Opportunities with Machine Learning.
Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation.- In situ Measurement of Current Distribution in Large-format Li-ion Cells.- Mesoscale Modeling and Analysis in Electrochemical Energy Systems.- Development of Computer Aided Design Tools for Automotive Batteries.- Experimental Simulations of Field Induced Mechanical Abuse Conditions.- Abuse Response of Batteries subjected to Mechanical Impact.- Accelerating Battery Simulations by using High Performance Computing and Opportunities with Machine Learning.
Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation.- In situ Measurement of Current Distribution in Large-format Li-ion Cells.- Mesoscale Modeling and Analysis in Electrochemical Energy Systems.- Development of Computer Aided Design Tools for Automotive Batteries.- Experimental Simulations of Field Induced Mechanical Abuse Conditions.- Abuse Response of Batteries subjected to Mechanical Impact.- Accelerating Battery Simulations by using High Performance Computing and Opportunities with Machine Learning.
Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation.- In situ Measurement of Current Distribution in Large-format Li-ion Cells.- Mesoscale Modeling and Analysis in Electrochemical Energy Systems.- Development of Computer Aided Design Tools for Automotive Batteries.- Experimental Simulations of Field Induced Mechanical Abuse Conditions.- Abuse Response of Batteries subjected to Mechanical Impact.- Accelerating Battery Simulations by using High Performance Computing and Opportunities with Machine Learning.
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