Fuel-saving opportunities for automated vehicles: A driving cycle analysis

We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical ener...
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Autor*in:	Edgar Jungblut [verfasserIn] Thomas Grube [verfasserIn] Jochen Linssen [verfasserIn] Detlef Stolten [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving

Übergeordnetes Werk:	In: Transportation Research Interdisciplinary Perspectives - Elsevier, 2020, 22(2023), Seite 100964-
Übergeordnetes Werk:	volume:22 ; year:2023 ; pages:100964-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.trip.2023.100964

Katalog-ID:	DOAJ095417486

Internformat


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520			\|a We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand.
650		4	\|a Automated driving
650		4	\|a Vehicle fuel demand
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publishDate	2023
allfields	10.1016/j.trip.2023.100964 doi (DE-627)DOAJ095417486 (DE-599)DOAJ5a71a88cd68f426eb857675ac456e53e DE-627 ger DE-627 rakwb eng HE1-9990 Edgar Jungblut verfasserin aut Fuel-saving opportunities for automated vehicles: A driving cycle analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand. Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving Transportation and communications Thomas Grube verfasserin aut Jochen Linssen verfasserin aut Detlef Stolten verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 22(2023), Seite 100964- (DE-627)1690634936 25901982 nnns volume:22 year:2023 pages:100964- https://doi.org/10.1016/j.trip.2023.100964 kostenfrei https://doaj.org/article/5a71a88cd68f426eb857675ac456e53e kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198223002117 kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 100964-
spelling	10.1016/j.trip.2023.100964 doi (DE-627)DOAJ095417486 (DE-599)DOAJ5a71a88cd68f426eb857675ac456e53e DE-627 ger DE-627 rakwb eng HE1-9990 Edgar Jungblut verfasserin aut Fuel-saving opportunities for automated vehicles: A driving cycle analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand. Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving Transportation and communications Thomas Grube verfasserin aut Jochen Linssen verfasserin aut Detlef Stolten verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 22(2023), Seite 100964- (DE-627)1690634936 25901982 nnns volume:22 year:2023 pages:100964- https://doi.org/10.1016/j.trip.2023.100964 kostenfrei https://doaj.org/article/5a71a88cd68f426eb857675ac456e53e kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198223002117 kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 100964-
allfields_unstemmed	10.1016/j.trip.2023.100964 doi (DE-627)DOAJ095417486 (DE-599)DOAJ5a71a88cd68f426eb857675ac456e53e DE-627 ger DE-627 rakwb eng HE1-9990 Edgar Jungblut verfasserin aut Fuel-saving opportunities for automated vehicles: A driving cycle analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand. Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving Transportation and communications Thomas Grube verfasserin aut Jochen Linssen verfasserin aut Detlef Stolten verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 22(2023), Seite 100964- (DE-627)1690634936 25901982 nnns volume:22 year:2023 pages:100964- https://doi.org/10.1016/j.trip.2023.100964 kostenfrei https://doaj.org/article/5a71a88cd68f426eb857675ac456e53e kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198223002117 kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 100964-
allfieldsGer	10.1016/j.trip.2023.100964 doi (DE-627)DOAJ095417486 (DE-599)DOAJ5a71a88cd68f426eb857675ac456e53e DE-627 ger DE-627 rakwb eng HE1-9990 Edgar Jungblut verfasserin aut Fuel-saving opportunities for automated vehicles: A driving cycle analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand. Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving Transportation and communications Thomas Grube verfasserin aut Jochen Linssen verfasserin aut Detlef Stolten verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 22(2023), Seite 100964- (DE-627)1690634936 25901982 nnns volume:22 year:2023 pages:100964- https://doi.org/10.1016/j.trip.2023.100964 kostenfrei https://doaj.org/article/5a71a88cd68f426eb857675ac456e53e kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198223002117 kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 100964-
allfieldsSound	10.1016/j.trip.2023.100964 doi (DE-627)DOAJ095417486 (DE-599)DOAJ5a71a88cd68f426eb857675ac456e53e DE-627 ger DE-627 rakwb eng HE1-9990 Edgar Jungblut verfasserin aut Fuel-saving opportunities for automated vehicles: A driving cycle analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand. Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving Transportation and communications Thomas Grube verfasserin aut Jochen Linssen verfasserin aut Detlef Stolten verfasserin aut In Transportation Research Interdisciplinary Perspectives Elsevier, 2020 22(2023), Seite 100964- (DE-627)1690634936 25901982 nnns volume:22 year:2023 pages:100964- https://doi.org/10.1016/j.trip.2023.100964 kostenfrei https://doaj.org/article/5a71a88cd68f426eb857675ac456e53e kostenfrei http://www.sciencedirect.com/science/article/pii/S2590198223002117 kostenfrei https://doaj.org/toc/2590-1982 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4393 GBV_ILN_4700 AR 22 2023 100964-
language	English
source	In Transportation Research Interdisciplinary Perspectives 22(2023), Seite 100964- volume:22 year:2023 pages:100964-
sourceStr	In Transportation Research Interdisciplinary Perspectives 22(2023), Seite 100964- volume:22 year:2023 pages:100964-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving Transportation and communications
isfreeaccess_bool	true
container_title	Transportation Research Interdisciplinary Perspectives
authorswithroles_txt_mv	Edgar Jungblut @@aut@@ Thomas Grube @@aut@@ Jochen Linssen @@aut@@ Detlef Stolten @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1690634936
id	DOAJ095417486
language_de	englisch
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callnumber-first	H - Social Science
author	Edgar Jungblut
spellingShingle	Edgar Jungblut misc HE1-9990 misc Automated driving misc Vehicle fuel demand misc Driving cycle misc Automation system misc Energy demand misc Eco-driving misc Transportation and communications Fuel-saving opportunities for automated vehicles: A driving cycle analysis
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topic_title	HE1-9990 Fuel-saving opportunities for automated vehicles: A driving cycle analysis Automated driving Vehicle fuel demand Driving cycle Automation system Energy demand Eco-driving
topic	misc HE1-9990 misc Automated driving misc Vehicle fuel demand misc Driving cycle misc Automation system misc Energy demand misc Eco-driving misc Transportation and communications
topic_unstemmed	misc HE1-9990 misc Automated driving misc Vehicle fuel demand misc Driving cycle misc Automation system misc Energy demand misc Eco-driving misc Transportation and communications
topic_browse	misc HE1-9990 misc Automated driving misc Vehicle fuel demand misc Driving cycle misc Automation system misc Energy demand misc Eco-driving misc Transportation and communications
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title	Fuel-saving opportunities for automated vehicles: A driving cycle analysis
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title_full	Fuel-saving opportunities for automated vehicles: A driving cycle analysis
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author_browse	Edgar Jungblut Thomas Grube Jochen Linssen Detlef Stolten
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title_sort	fuel-saving opportunities for automated vehicles: a driving cycle analysis
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title_auth	Fuel-saving opportunities for automated vehicles: A driving cycle analysis
abstract	We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand.
abstractGer	We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand.
abstract_unstemmed	We calculate the energy demand of automated vehicles for different driving cycles. We alter standard driving cycles to depict the driving behavior of automated vehicles. We further assume additional energy demand for automation systems and investigate trade-offs between reductions in mechanical energy demand and increases in auxiliary energy demand. In the case of trucks, we find that smoother driving and the additional energy demand offset one another for highway driving. However, a notable reduction in energy demand can be achieved by lowering the maximum driving speed. For cars, we find that the additional energy demand slightly outweighs the effects of smoother driving on highways. When considering city driving, the additional energy demand increases the energy demand of a mid-size car in the standard driving cycle by one third. Reducing driving speeds and stops is not able to offset this increase in energy demand.
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title_short	Fuel-saving opportunities for automated vehicles: A driving cycle analysis
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up_date	2024-07-03T14:31:39.008Z
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