Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mattin Lucu"'
Autor:
Ander Avila, Mattin Lucu, Asier Garcia-Bediaga, Unai Ibarguren, Inigo Gandiaga, Alejandro Rujas
Publikováno v:
IEEE Access, Vol 9, Pp 132342-132353 (2021)
Lithium-ion (Li-ion) batteries are still the best technology to power the Electric Vehicle (EV), due to their high power and energy density. However, the use of these batteries can be limited in cars with a high demand for peak power and very high en
Externí odkaz:
https://doaj.org/article/376a144104f144e18164d8b2e6252082
Publikováno v:
World Electric Vehicle Journal, Vol 12, Iss 3, p 145 (2021)
Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) method to develop LIB ageing
Externí odkaz:
https://doaj.org/article/892872bcd0034826bc56e6d14c8b0d91
Publikováno v:
IEEE Transactions on Industrial Informatics
Battery calendar aging prediction is of extreme importance for developing durable electric vehicles. This article derives machine learning-enabled calendar aging prediction for lithium-ion batteries. Specifically, the Gaussian process regression (GPR
Autor:
Mattin Lucu, Victor Isaac Herrera Perez, Haizea Gaztanaga, Nerea Goitia-Zabaleta, Haritza Camblong, Jon Ander López Ibarra
Publikováno v:
Perspectives Scientific Journal ; Vol. 1 No. 2 (2019): Revista Perspectivas; 38-45
Revista Perspectivas; Vol. 1 Núm. 2 (2019): Revista Perspectivas; 38-45
Revista Perspectivas; Vol. 1 Núm. 2 (2019): Revista Perspectivas; 38-45
This paper aims to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point to fulfill the efficiency goals in the short term. However, with aging, the initial conditi
Publikováno v:
Journal of Power Sources. 401:85-101
The prediction accuracy of Lithium-ion (Li-ion) battery ageing models based on laboratory data is uncertain in the context of online prediction. This is due to the difficulty to reproduce realistic operating profiles in laboratory. The development of
Publikováno v:
2020 IEEE Energy Conversion Congress and Exposition (ECCE).
Conventional Li-ion battery ageing models require a significant amount of time and experimental resources to provide accurate predictions under realistic operating conditions. Furthermore, there is still an uncertainty on the validity of purely labor
Autor:
Inigo Gandiaga, Mattin Lucu, Egoitz Martinez-Laserna, Kailong Liu, Haritza Camblong, James Marco, Widanalage Dhammika Widanage
Publikováno v:
Addi. Archivo Digital para la Docencia y la Investigación
instname
Journal of Energy Storage
Journal of Energy Storage, Elsevier, 2020, 30, pp.101409. ⟨10.1016/j.est.2020.101409⟩
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
instname
Journal of Energy Storage
Journal of Energy Storage, Elsevier, 2020, 30, pp.101409. ⟨10.1016/j.est.2020.101409⟩
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___::52a8875bd0d46d82dd4e5d014601e5fe
http://hdl.handle.net/10810/49225
http://hdl.handle.net/10810/49225
Autor:
Haizea Gaztanaga, Nerea Goitia-Zabaleta, Jon Ander Lopez-Ibarra, Mattin Lucu, Victor Isaac Herrera, Haritza Camblong
Publikováno v:
2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), May 2019, Monte-Carlo, Monaco. pp.1-7, ⟨10.1109/EVER.2019.8813567⟩
EVER
2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), May 2019, Monte-Carlo, Monaco. pp.1-7, ⟨10.1109/EVER.2019.8813567⟩
EVER
The aim of this paper is to propose a battery aging conscious energy management strategy. The initial design of an energy management strategy is a significant point, in order to fulfill the efficiency goals in a short term. However, with the aging, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84ad39856c79c8d5b5d3e56c536d4f3
https://hal.archives-ouvertes.fr/hal-02366128
https://hal.archives-ouvertes.fr/hal-02366128
Publikováno v:
Renewable and Sustainable Energy Reviews. 131:110017
Prediction of battery calendar ageing is a key but challenging issue in the development of durable electric vehicles. This paper simultaneously evaluates three mainstream types of modelling techniques for calendar ageing prediction of Lithium-ion (Li
Publikováno v:
IEEE Transactions on Industrial Informatics; Jun2020, Vol. 16 Issue 6, p3767-3777, 11p