Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review

Andrea Di Martino, Seyed Mahdi Miraftabzadeh () and Michela Longo
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Andrea Di Martino: Department of Energy, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy
Seyed Mahdi Miraftabzadeh: Department of Energy, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy
Michela Longo: Department of Energy, Politecnico di Milano, Via La Masa, 34, 20156 Milan, Italy

Energies, 2022, vol. 15, issue 21, 1-20

Abstract: The continuous technical improvements involving electric motors, battery packs, and general powertrain equipment make it strictly necessary to predict or evaluate the energy consumption of electric vehicles (EVs) with reasonable accuracy. The significant improvements in computing power in the last decades have allowed the implementation of various simulation scenarios and the development of strategies for vehicle modelling, thus estimating energy consumption with higher accuracy. This paper gives a general overview of the strategies adopted to model EVs for evaluating or predicting energy consumption. The need to develop such solutions is due to the basis of each analysis, as well as the type of results that must be produced and delivered. This last point strongly influences the whole set-up process of the analysis, from the available and collected dataset to the choice of the algorithm itself.

Keywords: vehicle model; energy consumption; power-based vehicle model; microsimulation; data-driven analysis model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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