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Rodrigues, R., Albuquerque, V., Ferreira, J. C. & Dias, M. S. (2022). EV battery degradation: A data mining approach. In Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. (pp. 177-190).: Springer Cham.

Sandra et al.,  "EV battery degradation: A data mining approach", in Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer Cham, 2022, vol. 426, pp. 177-190

@incollection{sandra2022_1714779174561,
	author = "Rodrigues, R. and Albuquerque, V. and Ferreira, J. C. and Dias, M. S.",
	title = "EV battery degradation: A data mining approach",
	chapter = "",
	booktitle = "Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
	year = "2022",
	volume = "426",
	series = "",
	edition = "",
	pages = "177-177",
	publisher = "Springer Cham",
	address = "",
	url = "https://link.springer.com/book/10.1007/978-3-030-97603-3"
}

TY  - CHAP
TI  - EV battery degradation: A data mining approach
T2  - Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
VL  - 426
AU  - Rodrigues, R.
AU  - Albuquerque, V.
AU  - Ferreira, J. C.
AU  - Dias, M. S.
PY  - 2022
SP  - 177-190
SN  - 1867-8211
DO  - 10.1007/978-3-030-97603-3_13
UR  - https://link.springer.com/book/10.1007/978-3-030-97603-3
AB  - The increase in greenhouse gas emissions into the atmosphere, and their adverse effects on the environment, has prompted the search for alternative energy sources to fossil fuels. One of the solutions gaining ground is the electrification of various human activities, such as the transport sector. This trend has fueled a growing need for electrical energy storage in lithium-ion batteries. Precisely knowing the degree of degradation that this type of battery accumulates over its useful life is necessary to bring economic benefits, both for companies and citizens. This paper aims to answer the current need by proposing a research question about electric motor vehicles. It focuses on habits EV owners practice, which could harm the battery life. This paper seeks to answer this question using a data science methodology. The results allowed us to conclude that all other factors had a marginal effect on the vehicles’ autonomy decrease except for the car year. The biggest obstacle encountered in adopting electric vehicles was the insufficient coverage of the charging stations network.
ER  -