Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle

Constant monitoring of driving conditions and observation of the surrounding area are essential for achieving reliable, high-quality autonomous driving. This requires more reliable sensors and actuators, as there is always the potential that sensors and actuators will fail under real-world condition...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Shiqing Li [verfasserIn] Michael Frey [verfasserIn] Frank Gauterin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	electric vehicle sensors actuators abnormal condition monitoring model-based fault detection symptom generation

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 23(2023), 2, p 887
Übergeordnetes Werk:	volume:23 ; year:2023 ; number:2, p 887

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s23020887

Katalog-ID:	DOAJ081707207

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allfieldsGer	10.3390/s23020887 doi (DE-627)DOAJ081707207 (DE-599)DOAJ01fca4fba7ba449384a2d7c713be4b3c DE-627 ger DE-627 rakwb eng TP1-1185 Shiqing Li verfasserin aut Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Constant monitoring of driving conditions and observation of the surrounding area are essential for achieving reliable, high-quality autonomous driving. This requires more reliable sensors and actuators, as there is always the potential that sensors and actuators will fail under real-world conditions. The sensitive condition-monitoring methods of sensors and actuators should be used to improve the reliability of the sensors and actuators. They should be able to detect and isolate the abnormal situations of faulty sensors and actuators. In this paper, a developed model-based method for condition monitoring of the sensors and actuators in an electric vehicle is presented that can determine whether a sensor has a fault and further reconfigure the sensor signal, as well as detect the abnormal behavior of the actuators with the reconfigured sensor signals. Through the simulation data obtained by the vehicle model in complex road conditions, it is proved that the method is effective for the state detection of sensors and actuators. electric vehicle sensors actuators abnormal condition monitoring model-based fault detection symptom generation Chemical technology Michael Frey verfasserin aut Frank Gauterin verfasserin aut In Sensors MDPI AG, 2003 23(2023), 2, p 887 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:23 year:2023 number:2, p 887 https://doi.org/10.3390/s23020887 kostenfrei https://doaj.org/article/01fca4fba7ba449384a2d7c713be4b3c kostenfrei https://www.mdpi.com/1424-8220/23/2/887 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 2, p 887
allfieldsSound	10.3390/s23020887 doi (DE-627)DOAJ081707207 (DE-599)DOAJ01fca4fba7ba449384a2d7c713be4b3c DE-627 ger DE-627 rakwb eng TP1-1185 Shiqing Li verfasserin aut Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Constant monitoring of driving conditions and observation of the surrounding area are essential for achieving reliable, high-quality autonomous driving. This requires more reliable sensors and actuators, as there is always the potential that sensors and actuators will fail under real-world conditions. The sensitive condition-monitoring methods of sensors and actuators should be used to improve the reliability of the sensors and actuators. They should be able to detect and isolate the abnormal situations of faulty sensors and actuators. In this paper, a developed model-based method for condition monitoring of the sensors and actuators in an electric vehicle is presented that can determine whether a sensor has a fault and further reconfigure the sensor signal, as well as detect the abnormal behavior of the actuators with the reconfigured sensor signals. Through the simulation data obtained by the vehicle model in complex road conditions, it is proved that the method is effective for the state detection of sensors and actuators. electric vehicle sensors actuators abnormal condition monitoring model-based fault detection symptom generation Chemical technology Michael Frey verfasserin aut Frank Gauterin verfasserin aut In Sensors MDPI AG, 2003 23(2023), 2, p 887 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:23 year:2023 number:2, p 887 https://doi.org/10.3390/s23020887 kostenfrei https://doaj.org/article/01fca4fba7ba449384a2d7c713be4b3c kostenfrei https://www.mdpi.com/1424-8220/23/2/887 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2023 2, p 887
language	English
source	In Sensors 23(2023), 2, p 887 volume:23 year:2023 number:2, p 887
sourceStr	In Sensors 23(2023), 2, p 887 volume:23 year:2023 number:2, p 887
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	electric vehicle sensors actuators abnormal condition monitoring model-based fault detection symptom generation Chemical technology
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container_title	Sensors
authorswithroles_txt_mv	Shiqing Li @@aut@@ Michael Frey @@aut@@ Frank Gauterin @@aut@@
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callnumber-first	T - Technology
author	Shiqing Li
spellingShingle	Shiqing Li misc TP1-1185 misc electric vehicle misc sensors misc actuators misc abnormal condition monitoring misc model-based fault detection misc symptom generation misc Chemical technology Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle
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topic_title	TP1-1185 Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle electric vehicle sensors actuators abnormal condition monitoring model-based fault detection symptom generation
topic	misc TP1-1185 misc electric vehicle misc sensors misc actuators misc abnormal condition monitoring misc model-based fault detection misc symptom generation misc Chemical technology
topic_unstemmed	misc TP1-1185 misc electric vehicle misc sensors misc actuators misc abnormal condition monitoring misc model-based fault detection misc symptom generation misc Chemical technology
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title	Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle
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title_auth	Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle
abstract	Constant monitoring of driving conditions and observation of the surrounding area are essential for achieving reliable, high-quality autonomous driving. This requires more reliable sensors and actuators, as there is always the potential that sensors and actuators will fail under real-world conditions. The sensitive condition-monitoring methods of sensors and actuators should be used to improve the reliability of the sensors and actuators. They should be able to detect and isolate the abnormal situations of faulty sensors and actuators. In this paper, a developed model-based method for condition monitoring of the sensors and actuators in an electric vehicle is presented that can determine whether a sensor has a fault and further reconfigure the sensor signal, as well as detect the abnormal behavior of the actuators with the reconfigured sensor signals. Through the simulation data obtained by the vehicle model in complex road conditions, it is proved that the method is effective for the state detection of sensors and actuators.
abstractGer	Constant monitoring of driving conditions and observation of the surrounding area are essential for achieving reliable, high-quality autonomous driving. This requires more reliable sensors and actuators, as there is always the potential that sensors and actuators will fail under real-world conditions. The sensitive condition-monitoring methods of sensors and actuators should be used to improve the reliability of the sensors and actuators. They should be able to detect and isolate the abnormal situations of faulty sensors and actuators. In this paper, a developed model-based method for condition monitoring of the sensors and actuators in an electric vehicle is presented that can determine whether a sensor has a fault and further reconfigure the sensor signal, as well as detect the abnormal behavior of the actuators with the reconfigured sensor signals. Through the simulation data obtained by the vehicle model in complex road conditions, it is proved that the method is effective for the state detection of sensors and actuators.
abstract_unstemmed	Constant monitoring of driving conditions and observation of the surrounding area are essential for achieving reliable, high-quality autonomous driving. This requires more reliable sensors and actuators, as there is always the potential that sensors and actuators will fail under real-world conditions. The sensitive condition-monitoring methods of sensors and actuators should be used to improve the reliability of the sensors and actuators. They should be able to detect and isolate the abnormal situations of faulty sensors and actuators. In this paper, a developed model-based method for condition monitoring of the sensors and actuators in an electric vehicle is presented that can determine whether a sensor has a fault and further reconfigure the sensor signal, as well as detect the abnormal behavior of the actuators with the reconfigured sensor signals. Through the simulation data obtained by the vehicle model in complex road conditions, it is proved that the method is effective for the state detection of sensors and actuators.
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title_short	Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle
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Model-Based Condition Monitoring of the Sensors and Actuators of an Electric and Automated Vehicle

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