Descripción
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Due to urban pollution, transport electrification is being currently promoted in different countries. Electric Vehicles (EVs) sales are growing all over the world, but there are still some challenges to be solved before a mass adoption of this type of vehicles occurs. One of the main drawbacks of EVs are their limited range, for that reason an accurate estimation of the state-of-charge (SOC) is required. The main contribution of this work is the design of a Nonlinear Autoregressive with External Input (NARX) artificial neural network to estimate the SOC of an EV using real data extracted from the car during its daily trips. | |
Internacional
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JCR del ISI
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Título de la revista
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prodecia computer science |
ISSN
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1877-0509 |
Factor de impacto JCR
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2 |
Información de impacto
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Volumen
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DOI
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10.1016/j.procs.2018.04.077 |
Número de revista
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Desde la página
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533 |
Hasta la página
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540 |
Mes
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SIN MES |
Ranking
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