@inproceedings{19a18467a4c947ecae0793a98440d8c8,
title = "State-of-Charge Estimation of NMC-based Li-ion Battery Based on Continuous Transfer Function Model and Extended Kalman Filter",
abstract = "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 of its State-of-Charge (SoC) in the Battery Management System (BMS). In this paper, an effective system identification approach is applied to establish the battery model using a Continuous Transfer Function (CTF) model. The Akaike information criterion (AIC) is applied to obtain the suitable model structure considering the accuracy and real-time efficiency of the model. Then, the SoC Estimation is fulfilled based on the developed model and the Extended Kalman Filter (EKF) algorithm. The correct performance of the proposed method is evaluated and confirmed using experimental data of 3.4 Ah 3.7 V NMC-based battery cells. Likewise, the feasibility of embedded implementation is proven through some Hardware-in-the-Loop (HiL) tests.",
keywords = "Battery Management System (BMS), State Estimation, System Identification",
author = "Farshid Naseri and Erik Schaltz and Stroe, {Daniel Ion} and Alejandro Gismero and Ebrahim Farjah and Sepehr Karimi",
note = "Funding Information: ACKNOWLEDGMENT This work has been supported in part by Iran's National Elite's Foundation, in part by Electric Mobility Europe Call 2016 (ERA-NET COFUND) and Innovation Fund Denmark grant number 7064-00011B as part of the transnational eVolution2Grid (V2G) project. Publisher Copyright: {\textcopyright} 2021 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021 ; Conference date: 02-02-2021 Through 04-02-2021",
year = "2021",
month = feb,
day = "2",
doi = "10.1109/PEDSTC52094.2021.9405847",
language = "English",
isbn = "978-1-6654-4772-0",
series = "2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021",
booktitle = "2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021",
publisher = "IEEE Signal Processing Society",
address = "United States",
}