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_c398113 _d398113 _x1 |
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| 001 | 398113 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240314174527.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230314s2023 sz | o |||| 0|eng d | ||
| 020 | _a9783031176074 | ||
| 024 | 7 |
_a10.1007/978-3-031-17607-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTA345 _b2023 EB |
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| 245 | 0 | 0 |
_aComputer Aided Engineering of Batteries _cedited by Shriram Santhanagopalan |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aModern Aspects of Electrochemistry _x2197-7941 _v62 |
|
| 505 | 0 | _aApplications 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 | _aThis 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. | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9666321 _aIngeniería asistida por ordenador |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-17607-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2024 _dz _ek _zSI |
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