State-of-Charge Estimation of NMC-based Li-ion Battery Based on Continuous Transfer Function Model and Extended Kalman Filter

Autor: Farshid Naseri, Ebrahim Farjah, Sepehr Karimi, Daniel-Ion Stroe, Alejandro Gismero, Erik Schaltz

Publikováno v: Naseri, F, Schaltz, E, Stroe, D I, Gismero, A, Farjah, E & Karimi, S 2021, State-of-Charge Estimation of NMC-based Li-ion Battery Based on Continuous Transfer Function Model and Extended Kalman Filter . in 2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021 ., 9405847, IEEE Signal Processing Society, 2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021, 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021, Tabriz, Iran, Islamic Republic of, 02/02/2021 . https://doi.org/10.1109/PEDSTC52094.2021.9405847

Lithium-ion (Li) battery based on nickel-manganese-cobalt (NMC) cathode has emerged as one of the most successful battery types for powertrain of Electric Vehicles (EVs). The effective management of the NMC-based battery relies on accurate estimation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecbcd5836cfe3bf74987055babd01bac
https://doi.org/10.1109/pedstc52094.2021.9405847