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008			220302s2022 gw | s |||| 0|eng d
020			_a9783658369927
024	7		_a10.1007/978-3-658-36992-7 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTL220
072		7	_aTRC _2bicssc
072		7	_aTEC009090 _2bisacsh
072		7	_aTRC _2thema
090			_aTL220EBK
100	1		_aShen, Tunan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aDiagnosis of the Powertrain Systems for Autonomous Electric Vehicles _h[electronic resource] / _cby Tunan Shen.
250			_a1st ed. 2022.
264		1	_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2022.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aWissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, _x2567-0352
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.
650		0	_aAutomotive engineering.
650		0	_aEngines.
650		0	_aElectric power production.
650	1	4	_aAutomotive Engineering.
650	2	4	_aEngine Technology.
650	2	4	_aElectrical Power Engineering.
653		0	_aAutomated vehicles -- Power trains
653		0	_aElectric vehicles -- Power trains
710	2		_aSpringerLink (Online service)
830		0	_aWissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, _x2567-0352
856	4	0	_uhttps://doi.org/10.1007/978-3-658-36992-7 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK