Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity

Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Qiu, LiHong [verfasserIn] Qian, LiJun [verfasserIn] Zomorodi, Hesam [verfasserIn] Pisu, Pierluigi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	equivalent consumption minimization strategy (ECMS) hybrid electric vehicles (HEVs) model predictive control (MPC) connected vehicles signal phase and timing (SPAT) optimization

Übergeordnetes Werk:	Enthalten in: Science in China - Heidelberg : Springer, 1997, 61(2017), 1 vom: 14. Nov., Seite 147-157
Übergeordnetes Werk:	volume:61 ; year:2017 ; number:1 ; day:14 ; month:11 ; pages:147-157

Links:	Volltext

DOI / URN:	10.1007/s11431-016-9141-x

Katalog-ID:	SPR019291949

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allfields	10.1007/s11431-016-9141-x doi (DE-627)SPR019291949 (SPR)s11431-016-9141-x-e DE-627 ger DE-627 rakwb eng 600 ASE 600 ASE 50.00 bkl Qiu, LiHong verfasserin aut Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method. equivalent consumption minimization strategy (ECMS) (dpeaa)DE-He213 hybrid electric vehicles (HEVs) (dpeaa)DE-He213 model predictive control (MPC) (dpeaa)DE-He213 connected vehicles (dpeaa)DE-He213 signal phase and timing (SPAT) (dpeaa)DE-He213 optimization (dpeaa)DE-He213 Qian, LiJun verfasserin aut Zomorodi, Hesam verfasserin aut Pisu, Pierluigi verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 61(2017), 1 vom: 14. Nov., Seite 147-157 (DE-627)385614756 (DE-600)2142897-9 1862-281X nnns volume:61 year:2017 number:1 day:14 month:11 pages:147-157 https://dx.doi.org/10.1007/s11431-016-9141-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 50.00 ASE AR 61 2017 1 14 11 147-157
spelling	10.1007/s11431-016-9141-x doi (DE-627)SPR019291949 (SPR)s11431-016-9141-x-e DE-627 ger DE-627 rakwb eng 600 ASE 600 ASE 50.00 bkl Qiu, LiHong verfasserin aut Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method. equivalent consumption minimization strategy (ECMS) (dpeaa)DE-He213 hybrid electric vehicles (HEVs) (dpeaa)DE-He213 model predictive control (MPC) (dpeaa)DE-He213 connected vehicles (dpeaa)DE-He213 signal phase and timing (SPAT) (dpeaa)DE-He213 optimization (dpeaa)DE-He213 Qian, LiJun verfasserin aut Zomorodi, Hesam verfasserin aut Pisu, Pierluigi verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 61(2017), 1 vom: 14. Nov., Seite 147-157 (DE-627)385614756 (DE-600)2142897-9 1862-281X nnns volume:61 year:2017 number:1 day:14 month:11 pages:147-157 https://dx.doi.org/10.1007/s11431-016-9141-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 50.00 ASE AR 61 2017 1 14 11 147-157
allfields_unstemmed	10.1007/s11431-016-9141-x doi (DE-627)SPR019291949 (SPR)s11431-016-9141-x-e DE-627 ger DE-627 rakwb eng 600 ASE 600 ASE 50.00 bkl Qiu, LiHong verfasserin aut Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method. equivalent consumption minimization strategy (ECMS) (dpeaa)DE-He213 hybrid electric vehicles (HEVs) (dpeaa)DE-He213 model predictive control (MPC) (dpeaa)DE-He213 connected vehicles (dpeaa)DE-He213 signal phase and timing (SPAT) (dpeaa)DE-He213 optimization (dpeaa)DE-He213 Qian, LiJun verfasserin aut Zomorodi, Hesam verfasserin aut Pisu, Pierluigi verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 61(2017), 1 vom: 14. Nov., Seite 147-157 (DE-627)385614756 (DE-600)2142897-9 1862-281X nnns volume:61 year:2017 number:1 day:14 month:11 pages:147-157 https://dx.doi.org/10.1007/s11431-016-9141-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 50.00 ASE AR 61 2017 1 14 11 147-157
allfieldsGer	10.1007/s11431-016-9141-x doi (DE-627)SPR019291949 (SPR)s11431-016-9141-x-e DE-627 ger DE-627 rakwb eng 600 ASE 600 ASE 50.00 bkl Qiu, LiHong verfasserin aut Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method. equivalent consumption minimization strategy (ECMS) (dpeaa)DE-He213 hybrid electric vehicles (HEVs) (dpeaa)DE-He213 model predictive control (MPC) (dpeaa)DE-He213 connected vehicles (dpeaa)DE-He213 signal phase and timing (SPAT) (dpeaa)DE-He213 optimization (dpeaa)DE-He213 Qian, LiJun verfasserin aut Zomorodi, Hesam verfasserin aut Pisu, Pierluigi verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 61(2017), 1 vom: 14. Nov., Seite 147-157 (DE-627)385614756 (DE-600)2142897-9 1862-281X nnns volume:61 year:2017 number:1 day:14 month:11 pages:147-157 https://dx.doi.org/10.1007/s11431-016-9141-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 50.00 ASE AR 61 2017 1 14 11 147-157
allfieldsSound	10.1007/s11431-016-9141-x doi (DE-627)SPR019291949 (SPR)s11431-016-9141-x-e DE-627 ger DE-627 rakwb eng 600 ASE 600 ASE 50.00 bkl Qiu, LiHong verfasserin aut Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method. equivalent consumption minimization strategy (ECMS) (dpeaa)DE-He213 hybrid electric vehicles (HEVs) (dpeaa)DE-He213 model predictive control (MPC) (dpeaa)DE-He213 connected vehicles (dpeaa)DE-He213 signal phase and timing (SPAT) (dpeaa)DE-He213 optimization (dpeaa)DE-He213 Qian, LiJun verfasserin aut Zomorodi, Hesam verfasserin aut Pisu, Pierluigi verfasserin aut Enthalten in Science in China Heidelberg : Springer, 1997 61(2017), 1 vom: 14. Nov., Seite 147-157 (DE-627)385614756 (DE-600)2142897-9 1862-281X nnns volume:61 year:2017 number:1 day:14 month:11 pages:147-157 https://dx.doi.org/10.1007/s11431-016-9141-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 50.00 ASE AR 61 2017 1 14 11 147-157
language	English
source	Enthalten in Science in China 61(2017), 1 vom: 14. Nov., Seite 147-157 volume:61 year:2017 number:1 day:14 month:11 pages:147-157
sourceStr	Enthalten in Science in China 61(2017), 1 vom: 14. Nov., Seite 147-157 volume:61 year:2017 number:1 day:14 month:11 pages:147-157
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	equivalent consumption minimization strategy (ECMS) hybrid electric vehicles (HEVs) model predictive control (MPC) connected vehicles signal phase and timing (SPAT) optimization
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container_title	Science in China
authorswithroles_txt_mv	Qiu, LiHong @@aut@@ Qian, LiJun @@aut@@ Zomorodi, Hesam @@aut@@ Pisu, Pierluigi @@aut@@
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MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. 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author	Qiu, LiHong
spellingShingle	Qiu, LiHong ddc 600 bkl 50.00 misc equivalent consumption minimization strategy (ECMS) misc hybrid electric vehicles (HEVs) misc model predictive control (MPC) misc connected vehicles misc signal phase and timing (SPAT) misc optimization Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity
authorStr	Qiu, LiHong
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topic_title	600 ASE 50.00 bkl Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity equivalent consumption minimization strategy (ECMS) (dpeaa)DE-He213 hybrid electric vehicles (HEVs) (dpeaa)DE-He213 model predictive control (MPC) (dpeaa)DE-He213 connected vehicles (dpeaa)DE-He213 signal phase and timing (SPAT) (dpeaa)DE-He213 optimization (dpeaa)DE-He213
topic	ddc 600 bkl 50.00 misc equivalent consumption minimization strategy (ECMS) misc hybrid electric vehicles (HEVs) misc model predictive control (MPC) misc connected vehicles misc signal phase and timing (SPAT) misc optimization
topic_unstemmed	ddc 600 bkl 50.00 misc equivalent consumption minimization strategy (ECMS) misc hybrid electric vehicles (HEVs) misc model predictive control (MPC) misc connected vehicles misc signal phase and timing (SPAT) misc optimization
topic_browse	ddc 600 bkl 50.00 misc equivalent consumption minimization strategy (ECMS) misc hybrid electric vehicles (HEVs) misc model predictive control (MPC) misc connected vehicles misc signal phase and timing (SPAT) misc optimization
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title	Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity
ctrlnum	(DE-627)SPR019291949 (SPR)s11431-016-9141-x-e
title_full	Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity
author_sort	Qiu, LiHong
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author_browse	Qiu, LiHong Qian, LiJun Zomorodi, Hesam Pisu, Pierluigi
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title_sort	design and optimization of equivalent consumption minimization strategy for 4wd hybrid electric vehicles incorporating vehicle connectivity
title_auth	Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity
abstract	Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method.
abstractGer	Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method.
abstract_unstemmed	Abstract This paper presents an optimized equivalent consumption minimization strategy (ECMS) for four-wheel-drive (4WD) hybrid electric vehicles (HEVs) incorporating vehicle connectivity. In order to be applicable to the 4WD architecture, the ECMS is designed based on a rule-based strategy and used under the condition that a certain propulsion mode is activated. Assuming that a group of 4WD HEVs are connected and position information can be shared with each other, we formulate a decentralized model predictive control (MPC) framework that compromises fuel efficiency, mobility, and inter-vehicle distance to optimize the velocity profile of each individual vehicle. Based on the optimized velocity profile, an optimization problem considering both fuel economy and battery state of charge (SOC) sustainability is formulated to optimize the equivalent factors (EFs) of the ECMS for HEVs over an appropriate time window. MATLAB User Datagram Protocol (UDP) is used in the codes run on multiple computers to simulate the wireless communication among vehicles, which share position information via UDP-based communication, and dSPACE is used as a software-in-the-loop platform for the simulation of the optimized ECMS. Simulation results validate the control effectiveness of the proposed method.
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title_short	Design and optimization of equivalent consumption minimization strategy for 4WD hybrid electric vehicles incorporating vehicle connectivity
url	https://dx.doi.org/10.1007/s11431-016-9141-x
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author2	Qian, LiJun Zomorodi, Hesam Pisu, Pierluigi
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doi_str	10.1007/s11431-016-9141-x
up_date	2024-07-04T00:59:16.705Z
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