Conference
Temperature Dependent State of Charge Estimation of Lithium-ion Batteries Using Long Short-Term Memory Network and Kalman Filter
Abstract
In this paper, a new state of charge (SOC) estimation method is proposed combining Long Short-Term Memory Network (LSTMN) battery model and Kalman filter (KF) considering temperature dependency. The technique has been compared to the equivalent circuit model (ECM) and the combined model (CM) using dynamic stress test data. A KF is applied to each model to realize the dynamic estimation of battery states. Based on the collected data from the …
Authors
Yang Y; Dong A; Li Y; Ahmed R; Emadi A
Volume
1
Pagination
pp. 4335-4340
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
October 14, 2019
DOI
10.1109/iecon.2019.8927710
Name of conference
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society