In this Thesis, the author tried to analyze the GPS dataset of cars that traverse a variety of roads in a different time to make an estimation to calculate the battery consumption for the new generation of cars(EVs). The thesis investigates different ways to find a algorithm to make a fast calculation as much as possible.

Machine Learning-based estimation of electrical vehicle battery consumption over road networks / Babazadeh, M.; Nanni, M.. - (2020 Dec 04).

Machine Learning-based estimation of electrical vehicle battery consumption over road networks

Nanni M.
Correlatore interno
2020

Abstract

In this Thesis, the author tried to analyze the GPS dataset of cars that traverse a variety of roads in a different time to make an estimation to calculate the battery consumption for the new generation of cars(EVs). The thesis investigates different ways to find a algorithm to make a fast calculation as much as possible.
4-dic-2020
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Electric Vehicles
Mobility Analytics
NANNI, MIRCO
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/425255
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