학술논문
Modeling and Estimation of Enhanced Self Correcting Model Parameters of Lithium Ion Cell
Document Type
Conference
Author
Source
2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), 2023 International Conference on. :1-5 May, 2023
Subject
Language
Abstract
In this paper, modeling and estimating the parameters of the Enhanced Self-Correcting (ESC) model of a lithium-ion cell is presented so that the behaviour of the cell can be better understood with high fidelity. When the lithium-ion cell is used as battery pack in Electric Vehicle (EV), it is critical to have reliable temperaturedependent parameters to forecast aging and to determine how the cell responds to different operating scenarios of EV. This study is significant because it takes into account the voltage hysteresis effect, which is necessary for precise estimation of State of Charge (SOC) and State of Health (SOH) in order to forecast EV range. Open circuit voltage testing and dynamic testing at various temperatures are used in this paper to determine the parameters of the ESC model. The simulations are done using MATLAB and the results are obtained with high accuracy.