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Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption

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Abstract

This paper presents a framework and methodology to characterize the uncertainty of the consumption in the Electric Vehicles (EVs). A Fuzzy Logic (FL) is implemented to obtain an interval of the probability that the energy consumption may take. The framework assumes the availability of Information and Communication Technology (ICT) technology and previous data records. A case study is presented using a fleet of 30 EVs considering a smart grid environment.

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Correspondence to Nuno Borges .

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Borges, N., Soares, J., Vale, Z. (2015). Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption. In: Pichardo Lagunas, O., Herrera Alcántara, O., Arroyo Figueroa, G. (eds) Advances in Artificial Intelligence and Its Applications. MICAI 2015. Lecture Notes in Computer Science(), vol 9414. Springer, Cham. https://doi.org/10.1007/978-3-319-27101-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-27101-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27100-2

  • Online ISBN: 978-3-319-27101-9

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