Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles

In order to overcome adaptation deficiency of PHEV power assembly controlling strategy in complicated driving cycle, adaptive matching controlling strategy of driving-cycle fuzzy recognition was presented. The driving cycles of automobiles were classified in 3 types: rural cycle (RC), urban cycle (U...

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Autores principales:	Limin NIU, Lijun YE, Hongyuan YANG, Yongkuan WANG
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2016
Materias:	hybrid electric vehicle fuzzy recognition adaptation power matching controlling strategy Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/232904e14f4b4a27b5006e3a92baa7d8
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spelling	oai:doaj.org-article:232904e14f4b4a27b5006e3a92baa7d82021-11-26T07:00:24ZStudy on power matching strategy of PHEV based on fuzzy recognition of driving cycles2187-974510.1299/mej.16-00202https://doaj.org/article/232904e14f4b4a27b5006e3a92baa7d82016-12-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/4/1/4_16-00202/_pdf/-char/enhttps://doaj.org/toc/2187-9745In order to overcome adaptation deficiency of PHEV power assembly controlling strategy in complicated driving cycle, adaptive matching controlling strategy of driving-cycle fuzzy recognition was presented. The driving cycles of automobiles were classified in 3 types: rural cycle (RC), urban cycle (UC) and expressway cycle (EC). Based on information of automobile speed and acceleration, environment cycle is recognized via fuzzy inference, on those basis, adaptation of power matching model was realized. Moreover, simulation of power matching adaptive controlling strategy designed in this paper was conducted in ADVISOR. The designed controlling strategy and the electric-assisted controlling strategy were compared and analyzed. The results indicated that compared with electric-assisted controlling strategy, power-matching adaptive strategy of PHEV based on driving-cycle fuzzy recognition could further reduce energy consumption and exhaust emission, which proved that the newly designed controlling strategy could adapt driving cycles and enhance intellectualization of full vehicle.Limin NIULijun YEHongyuan YANGYongkuan WANGThe Japan Society of Mechanical Engineersarticlehybrid electric vehiclefuzzy recognitionadaptationpower matchingcontrolling strategyMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 4, Iss 1, Pp 16-00202-16-00202 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	hybrid electric vehicle fuzzy recognition adaptation power matching controlling strategy Mechanical engineering and machinery TJ1-1570
spellingShingle	hybrid electric vehicle fuzzy recognition adaptation power matching controlling strategy Mechanical engineering and machinery TJ1-1570 Limin NIU Lijun YE Hongyuan YANG Yongkuan WANG Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles
description	In order to overcome adaptation deficiency of PHEV power assembly controlling strategy in complicated driving cycle, adaptive matching controlling strategy of driving-cycle fuzzy recognition was presented. The driving cycles of automobiles were classified in 3 types: rural cycle (RC), urban cycle (UC) and expressway cycle (EC). Based on information of automobile speed and acceleration, environment cycle is recognized via fuzzy inference, on those basis, adaptation of power matching model was realized. Moreover, simulation of power matching adaptive controlling strategy designed in this paper was conducted in ADVISOR. The designed controlling strategy and the electric-assisted controlling strategy were compared and analyzed. The results indicated that compared with electric-assisted controlling strategy, power-matching adaptive strategy of PHEV based on driving-cycle fuzzy recognition could further reduce energy consumption and exhaust emission, which proved that the newly designed controlling strategy could adapt driving cycles and enhance intellectualization of full vehicle.
format	article
author	Limin NIU Lijun YE Hongyuan YANG Yongkuan WANG
author_facet	Limin NIU Lijun YE Hongyuan YANG Yongkuan WANG
author_sort	Limin NIU
title	Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles
title_short	Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles
title_full	Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles
title_fullStr	Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles
title_full_unstemmed	Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles
title_sort	study on power matching strategy of phev based on fuzzy recognition of driving cycles
publisher	The Japan Society of Mechanical Engineers
publishDate	2016
url	https://doaj.org/article/232904e14f4b4a27b5006e3a92baa7d8
work_keys_str_mv	AT liminniu studyonpowermatchingstrategyofphevbasedonfuzzyrecognitionofdrivingcycles AT lijunye studyonpowermatchingstrategyofphevbasedonfuzzyrecognitionofdrivingcycles AT hongyuanyang studyonpowermatchingstrategyofphevbasedonfuzzyrecognitionofdrivingcycles AT yongkuanwang studyonpowermatchingstrategyofphevbasedonfuzzyrecognitionofdrivingcycles
_version_	1718409705735323648

Study on power matching strategy of PHEV based on fuzzy recognition of driving cycles

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