Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox
Year: 2023
Type: software-paper
Abstract: This article presents a software tool for estimating the equivalent circuit model (ECM) of lithium-ion batteries using battery voltage and current datasets based on dynamic and static RC loop curve fitting techniques. This tool calculates the state of charge (SOC) of a battery and clusters experimental data based on the SOC. This provides the possibility of determining the equivalent circuit of the battery. Also, by leveraging the unique structure of the equivalent circuit, the method of estimating the effectiveness of this tool is integrated. The supplementary idea of this article is based on the calculation of the best method of estimating the equivalent circuit based on the hybrid adaptive battery parameter estimation (HABPE) based on model architecture and fitting it accordingly. By comparing the data from the extracted model with the experimental data of the battery, an accuracy of 82–87 % has been achieved, depending on the type of battery model. This method provides an easy and accurate approach to obtaining battery parameters and constructing its equivalent circuit for future applications.
Source: SoftwareX
Authors: Amin Najafi, Masoud Masih-Tehrani
Institution: Iran University of Science and Technology
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $760
OpenAlex ID: W4387204733