Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Chinemerem Christopher Ibe-Ekeocha"'
State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks
Publikováno v:
IEEE Transactions on Vehicular Technology. 66:8773-8783
This paper presents an application of dynamically driven recurrent networks (DDRNs) in online electric vehicle (EV) battery analysis. In this paper, a nonlinear autoregressive with exogenous inputs (NARX) architecture of the DDRN is designed for both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd637eb1c59791ba751f09688adb436f
https://doi.org/10.1109/tvt.2017.2715333
https://doi.org/10.1109/tvt.2017.2715333
Publikováno v:
Electric Power Systems Research
Electric Power Systems Research, Elsevier, 2017, 146, pp.189-197. ⟨10.1016/j.epsr.2017.01.032⟩
Electric Power Systems Research, Elsevier, 2017, 146, pp.189-197. ⟨10.1016/j.epsr.2017.01.032⟩
International audience; This paper presents an intelligent state of charge (SOC) and state of health (SOH) estimation method for lithium-ion batteries using an input time-delayed neural network. Unlike other estimation strategies, this technique requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c37f5bd64656b32e43bc4e9d3bdf90f2
https://doi.org/10.1016/j.epsr.2017.01.032
https://doi.org/10.1016/j.epsr.2017.01.032
Autor:
Asmae El Mejdoubi, Amrane Oukaour, Hamid Gualous, Noshin Omar, Chinemerem Christopher Ibe-Ekeocha, Hicham Chaoui
Publikováno v:
ISIE
This paper presents a neural network oriented approach for online estimation of the state of charge (SOC) for lithium-ion batteries. Unlike other estimation strategies, this proposed technique requires no knowledge of any battery parameter and no mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9be21ad035eeb3d3404708271427cb83
https://doi.org/10.1109/isie.2016.7744904
https://doi.org/10.1109/isie.2016.7744904