Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data - Part B: Cycling operation

Autor: Lucu, M., Martinez-Laserna, E., Gandiaga, I., Liu, K., Camblong, H., Widanage, W.D., Marco, J.

Publikováno v: In Journal of Energy Storage August 2020 30

A critical review on self-adaptive Li-ion battery ageing models

Autor: Lucu, M., Martinez-Laserna, E., Gandiaga, I., Camblong, H.

Publikováno v: In Journal of Power Sources 15 October 2018 401:85-101

Cycle ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions

Autor: Sarasketa-Zabala, E., Gandiaga, I., Martinez-Laserna, E., Rodriguez-Martinez, L.M., Villarreal, I.

Publikováno v: In Journal of Power Sources 1 February 2015 275:573-587

Data-driven nonparametric Li-ion battery ageing model aiming at learningfrom real operation data - Part B: Cycling operation

Autor: Lucu Oyhagaray, Mattin, Martínez Laserna, E., Gandiaga, I., Liuc, K., Camblong Ruiz, Aritza, Widanage, W.D., Marco, J.

Publikováno v: Journal of Energy Storage
Journal of Energy Storage, Elsevier, 2020, 30, pp.101410. ⟨10.1016/j.est.2020.101410⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictions under realistic operating conditions. At the same

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::958e4c79a666e0596d98d3e391925611
http://hdl.handle.net/10810/49224

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.