E3S Web Conf.
Volume 300, 20212021 2nd International Conference on Energy, Power and Environmental System Engineering (ICEPESE2021)
|Number of page(s)||7|
|Section||Energy and Power Engineering|
|Published online||06 August 2021|
Lithium battery parameter identification and SOC estimation based on dual-polarized model
China Academy of Information and Communications Technology, Energy and environmental assessment Department, 100089 Beijing, China
* Corresponding author: firstname.lastname@example.org
An equivalent circuit model of dual polarization (DP) of lithium battery was established according to the application characteristics of lithium battery under the standby condition of 5G base station. On the basis of the model, recursive least square method with forgetting factor (RLS) was used to identify the model parameters. Finally, the Unscented Kalman filtering (UKF) was used to estimate the SOC of lithium battery in real time with the identified model parameters. The simulation and experimental results showed that the combined estimation using recursive least square method with forgetting factor (RLS) and UKF could greatly improve the estimation accuracy of lithium battery SOC, reduce the estimation error, and further verify the accuracy and effectiveness of the whole modeling.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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