Computer Aided Engineering of Batteries

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 theoret...

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Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Santhanagopalan, Shriram (Editor)
Format: Elektronski eKnjiga
Jezik:angleščina
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2023.
Izdaja:1st ed. 2023.
Serija:Modern Aspects of Electrochemistry, 62
Teme:
Online dostop:https://doi.org/10.1007/978-3-031-17607-4
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490 1 |a Modern Aspects of Electrochemistry,  |x 2197-7941 ;  |v 62 
505 0 |a 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. . 
520 |a 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. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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650 0 |a Electric batteries. 
650 0 |a Materials. 
650 0 |a Computer-aided engineering. 
650 0 |a Fuel cells. 
650 0 |a Electrochemistry. 
650 0 |a Mathematical models. 
650 0 |a Engineering  |x Data processing. 
650 1 4 |a Batteries. 
650 2 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
650 2 4 |a Fuel Cells. 
650 2 4 |a Electrochemistry. 
650 2 4 |a Mathematical Modeling and Industrial Mathematics. 
650 2 4 |a Data Engineering. 
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