2015
DOI: 10.1016/j.enpol.2015.02.004
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Total cost of ownership of electric vehicles compared to conventional vehicles: A probabilistic analysis and projection across market segments

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Cited by 256 publications
(122 citation statements)
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References 30 publications
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“…These are Climate Change (CC), Photochemical Oxidant Formation (POF), Human Toxicity (HT), and Particulate Matter Formation (PMF). These midpoint indicators serve as an intermediate between the emission source and the 'endpoint', representing the recipients of the environmental effects caused by anthropogenic activities; these are Human Health, Ecosystem Quality, and Natural Resources [39]. No endpoint indicators are discussed in this paper.…”
Section: Impact Assessmentmentioning
confidence: 99%
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“…These are Climate Change (CC), Photochemical Oxidant Formation (POF), Human Toxicity (HT), and Particulate Matter Formation (PMF). These midpoint indicators serve as an intermediate between the emission source and the 'endpoint', representing the recipients of the environmental effects caused by anthropogenic activities; these are Human Health, Ecosystem Quality, and Natural Resources [39]. No endpoint indicators are discussed in this paper.…”
Section: Impact Assessmentmentioning
confidence: 99%
“…Nonetheless, a significant amount of attention has been given to PHEVs in the scientific literature. Popular topics are the optimization of battery capacity [28,[31][32][33], the environmental impact of the dual technology [34,35], and total cost of ownership [36][37][38][39]. Whereas the automotive industry regards PHEVs as an important asset for reaching future GHG and pollutant emission targets [40], the question remains which future market share this expensive dual technology is destined for, as EVs are gaining momentum and battery innovation aims for driving ranges equaling those of conventional petrol cars, while the cost difference decreases as well.…”
mentioning
confidence: 99%
“…Research into vehicle TCO modeling is still in its infancy with large differences in framing and assumptions, although a number of researchers have adopted TCO computation methods in order to calculate and visualize vehicle cost differences [10] [11] [22] [23]. TCO can differ significantly across vehicle types/ models, consumers and markets.…”
Section: Vehicle Cost Structure and Total Cost Of Ownershipmentioning
confidence: 99%
“…TCO can differ significantly across vehicle types/ models, consumers and markets. Due to factors, such as fuel prices, driving distance, vehicle class, ownership period, consumer preferences, knowledge and other economic costs [22] [23] [24]. A relevant finding related to drivetrains in previous research is the significantly lower operating cost of BEVs compared to ICEV [11] [23].…”
Section: Vehicle Cost Structure and Total Cost Of Ownershipmentioning
confidence: 99%
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