Objective functions for plug-in hybrid electric vehicle battery range optimization and possible effects on the vehicle fleet

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Fältnamn	Indikatorer	Metadata
000		03808naa a2200469 4500
001		oai:research.chalmers.se:a5b4e46f-8ef7-4ea1-94b2-8aed19777c0c
003		SwePub
008		180108s2018 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://research.chalmers.se/publication/2543482 URI
024	7	a https://doi.org/10.1016/j.trc.2017.12.0092 DOI
024	7	a https://research.chalmers.se/publication/5001602 URI
040		a (SwePub)cth
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Björnsson, Lars Henrik,d 1984u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)larshenr
245	1 0	a Objective functions for plug-in hybrid electric vehicle battery range optimization and possible effects on the vehicle fleet
264	1	b Elsevier BV,c 2018
338		a electronic2 rdacarrier
520		a While a hybrid electric vehicle (HEV) mainly runs on the same fuel as a conventional combustion engine, a plug-in hybrid electric vehicle (PHEV) has the potential to replace most of that fuel with electricity from the grid. Further, the driving-range limitations associated with a pure battery electric vehicle (BEV) do not apply to the PHEV. This makes the PHEV an interesting option for reducing greenhouse gas (GHG) emissions and local air pollutants as well as energy dependence, without sacrificing performance. However, how large fuel reduction that could be expected from PHEVs strongly depends on the battery range and driving and charging patterns (Björnsson and Karlsson, 2015). To maximize fuel reduction, battery capacity should be designed to reach a high share of electric driving. However, maximizing fuel reduction might not be the main objective for all stakeholders when optimizing battery range. Car owners could be more interested in reaching a low total cost of ownership (TCO), while manufacturers might focus on a battery range that suits as many potential buyers as possible. In this study, we analyze how the optimal battery range for the PHEV and the resulting vehicle fleet properties vary with the choice of objective function under various techno-economic conditions and policy options.
650	7	a TEKNIK OCH TEKNOLOGIERx Samhällsbyggnadsteknikx Transportteknik och logistik0 (SwePub)201052 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Civil Engineeringx Transport Systems and Logistics0 (SwePub)201052 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Maskinteknikx Farkostteknik0 (SwePub)203032 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Mechanical Engineeringx Vehicle Engineering0 (SwePub)203032 hsv//eng
650	7	a TEKNIK OCH TEKNOLOGIERx Naturresursteknikx Energisystem0 (SwePub)207022 hsv//swe
650	7	a ENGINEERING AND TECHNOLOGYx Environmental Engineeringx Energy Systems0 (SwePub)207022 hsv//eng
653		a Objective function
653		a TCO
653		a Subsidies
653		a Battery
653		a PHEV
653		a Policy
700	1	a Karlsson, Sten,d 1951u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)frtsk
700	1	a Sprei, Frances,d 1977u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)fsprei
710	2	a Chalmers tekniska högskola4 org
773	0	t Transportation Research, Part C: Emerging Technologiesd : Elsevier BVg 86, s. 655-669q 86<655-669x 0968-090X
856	4	u http://publications.lib.chalmers.se/records/fulltext/254348/local_254348.pdfx primaryx freey FULLTEXT
856	4	u https://doi.org/10.1016/j.trc.2017.12.009
856	4 8	u https://research.chalmers.se/publication/254348
856	4 8	u https://doi.org/10.1016/j.trc.2017.12.009
856	4 8	u https://research.chalmers.se/publication/500160

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