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Abstract
The project that is going to be presented by this thesis has been developed at LHP Data
Analytics Solutions, a US company with headquarters in Columbus, Indiana. The work
hereby presented has been carried out at that place and has been concerned with the study
of an NiMH battery, supplying power to an autonomous vehicle. During the first phase,
various monitoring systems have been implemented in order to gather data about battery's
temperature, current and voltage and also the car's acceleration. Next, these data have been
employed to develop prediction models about the remaining discharge time of the battery.
Abstract
The project that is going to be presented by this thesis has been developed at LHP Data
Analytics Solutions, a US company with headquarters in Columbus, Indiana. The work
hereby presented has been carried out at that place and has been concerned with the study
of an NiMH battery, supplying power to an autonomous vehicle. During the first phase,
various monitoring systems have been implemented in order to gather data about battery's
temperature, current and voltage and also the car's acceleration. Next, these data have been
employed to develop prediction models about the remaining discharge time of the battery.
Tipologia del documento
Tesi di laurea
(Laurea magistrale)
Autore della tesi
Giunchedi, Matteo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Battery,NiMH,Prediction,Autonomous vehicle,EV vehicle,Electrical Vehicle,Autonomous car,Electrical car,Data Analytics
Data di discussione della Tesi
19 Dicembre 2019
URI
Altri metadati
Tipologia del documento
Tesi di laurea
(NON SPECIFICATO)
Autore della tesi
Giunchedi, Matteo
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Battery,NiMH,Prediction,Autonomous vehicle,EV vehicle,Electrical Vehicle,Autonomous car,Electrical car,Data Analytics
Data di discussione della Tesi
19 Dicembre 2019
URI
Gestione del documento: