Aging prediction and state of charge estimation of a LiFePO 4 battery using input time-delayed neural networks

Autor: Chinemerem Christopher Ibe-Ekeocha, Hicham Chaoui, Hamid Gualous

Publikováno v: Electric Power Systems Research
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