Conference
A Kalman Filter Based Battery State of Charge Estimation MATLAB Function
Abstract
This paper proposes a Kalman filter based state-of-charge (SOC) estimation MATLAB function using a second-order RC equivalent circuit model (ECM). The function requires the SOC-OCV (open circuit voltage) curve, internal resistance, and second-order RC ECM battery parameters. Users have an option to use an extended Kalman filter (EKF) or adaptive extended Kalman filter (AEKF) algorithms as well as temperature dependent battery data. An example …
Authors
Khanum F; Louback E; Duperly F; Jenkins C; Kollmeyer PJ; Emadi A
Volume
00
Pagination
pp. 484-489
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
June 25, 2021
DOI
10.1109/itec51675.2021.9490163
Name of conference
2021 IEEE Transportation Electrification Conference & Expo (ITEC)