Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV). The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.
Real-time Electric Vehicle Range Estimation Based on a Lithium-Ion Battery Model
Barcellona S.;De Simone D.;Grillo S.
2019-01-01
Abstract
Electric vehicles range is limited by the available storage systems and it is influenced by many external factors such as ambient temperature, vehicle auxiliary systems and driving patterns. An accurate and reliable estimation of the remaining energy and, as a consequence, of the available travelling distance is one of the key factors that allows drivers to consciously take advantage of their electric vehicle (EV). The present paper describes the application of a previously-defined model for EVs batteries to estimate on line the available range. The effectiveness of the proposed methodology, which has been designed in order to use a reduced set of measurements, has been validated on a real Lithium-ion cell simulating three different EVs under two different temperatures and with two standard test driving cycles.File | Dimensione | Formato | |
---|---|---|---|
ICCEP_2019.pdf
Accesso riservato
:
Publisher’s version
Dimensione
656.04 kB
Formato
Adobe PDF
|
656.04 kB | Adobe PDF | Visualizza/Apri |
main_postprint.pdf
accesso aperto
:
Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione
502.53 kB
Formato
Adobe PDF
|
502.53 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.