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| 001 | 383981 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102122207.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 220302s2022 gw a o |||| 0|eng d | ||
| 020 | _a9783658369927 | ||
| 024 | 7 |
_a10.1007/978-3-658-36992-7 _2doi |
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| 040 |
_bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTL220 _b2022 EB |
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| 100 | 1 |
_aShen, Tunan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685409 |
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| 245 | 1 | 0 |
_aDiagnosis of the Powertrain Systems for Autonomous Electric Vehicles _cby Tunan Shen |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aWiesbaden _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXXII, 120 páginas) _b61 ilustraciones, 4 ilustraciones a color |
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| 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 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aWissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart _x2567-0352 |
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| 505 | 0 | _aBackground and State of the Art -- Diagnosis of Electrical Faults in Electric Machines -- Diagnosis of Mechanical Faults in Electric Machines. | |
| 520 | _aTunan Shen aims to increase the availability of powertrain systems for autonomous electric vehicles by improving the diagnostic capability for critical faults. Following the fault analysis of powertrain systems in battery electric vehicles, the focus is on the electrical and mechanical faults of the electric machine. A multi-level diagnostic approach is proposed, which consists of multiple diagnostic models, such as a physical model, a data-based anomaly detection model, and a neural network model. To improve the overall diagnostic capability, a decision making function is designed to derive a comprehensive decision from the predictions of various operating points and different models. Contents Background and State of the Art Diagnosis of Electrical Faults in Electric Machines Diagnosis of Mechanical Faults in Electric Machines Target Groups Researchers and students of mechanical engineering, especially automotive powertrains in electric vehicles Research and development engineers in this field About the Author Tunan Shen did his PhD project at the Institute of Automotive Engineering (IFS), University of Stuttgart, Germany. Currently he is Software Developer for Cross Domain Computing Solutions at a German automotive supplier. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9153370 _aAutomóviles eléctricos |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783658369910 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658369934 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-36992-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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| 998 |
_b11/2022 _dz _eb _zSI |
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