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Article

Optimal size of PHEV batteries from a consumer perspective – estimation using car movement data and implications for data harvesting

Physical Resource Theory, Chalmers University of Technology, SE-412 96 Göteborg
World Electr. Veh. J. 2009, 3(2), 387-395; https://doi.org/10.3390/wevj3020387
Published: 26 June 2009

Abstract

Due to expensiveness of PHEV batteries, the dimensioning of the batteries is very important. We derive the marginally optimal size from a consumer economics perspective and show that a crucial factor for optimal size and profitability is the marginal annual recharging frequency. We apply the analysis to a small set of Swedish vehicle movement data and demonstrate that the resulting optimal battery is highly dependent on the specific movement pattern of the individual car. We conclude that it is now urgent for the continued development, planning, and estimates of proliferation and impact of PHEVs, that statistical data, today mostly lacking, for the movement patterns of individual vehicles are assembled.
Keywords: data acquisition; market; modelling; PHEV (plug in hybrid electric vehicle) data acquisition; market; modelling; PHEV (plug in hybrid electric vehicle)

Share and Cite

MDPI and ACS Style

Karlsson, S. Optimal size of PHEV batteries from a consumer perspective – estimation using car movement data and implications for data harvesting. World Electr. Veh. J. 2009, 3, 387-395. https://doi.org/10.3390/wevj3020387

AMA Style

Karlsson S. Optimal size of PHEV batteries from a consumer perspective – estimation using car movement data and implications for data harvesting. World Electric Vehicle Journal. 2009; 3(2):387-395. https://doi.org/10.3390/wevj3020387

Chicago/Turabian Style

Karlsson, Sten. 2009. "Optimal size of PHEV batteries from a consumer perspective – estimation using car movement data and implications for data harvesting" World Electric Vehicle Journal 3, no. 2: 387-395. https://doi.org/10.3390/wevj3020387

APA Style

Karlsson, S. (2009). Optimal size of PHEV batteries from a consumer perspective – estimation using car movement data and implications for data harvesting. World Electric Vehicle Journal, 3(2), 387-395. https://doi.org/10.3390/wevj3020387

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