Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement
Abstract
Modeling of Li-ion cells is used in battery management systems (BMS) to determine key states such as state-of-charge (SoC), state-of-health (SoH), etc. Accurate models are also useful in developing a cell-level digital-twin that can be used for protection and diagnostics in the BMS. In this paper, a low-complexity model development is proposed based on the equivalent circuit model (ECM) of the Li-ion cells. The proposed approach uses online impedance measurement at discrete frequencies to derive the ECM that matches closely with the results from the electro-impedance spectroscopy (EIS). The proposed method is suitable to be implemented in a microcontroller with low-computational power, typically used in BMS. Practical design guidelines are proposed to ensure fast and accurate model development. Using the proposed method to enhance the functions of a typical automotive BMS is described. Experimental validation is performed using large prismatic cells and small-capacity cylindrical cells. Root-mean-square error (RMSE) of less than 3\% is observed for a wide variation of operating conditions.
Cite
@article{arxiv.2402.07777,
title = {Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement},
author = {Abhijit Kulkarni and Ahsan Nadeem and Roberta Di Fonso and Yusheng Zheng and Remus Teodorescu},
journal= {arXiv preprint arXiv:2402.07777},
year = {2024}
}