Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox
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 experimen...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023002303 |
| _version_ | 1797389515223990272 |
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| author | Amin Najafi Masoud Masih-Tehrani |
| author_facet | Amin Najafi Masoud Masih-Tehrani |
| author_sort | Amin Najafi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T22:57:07Z |
| format | Article |
| id | doaj.art-fc98bb252ff94b4daaad8f52a9282b43 |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-08T22:57:07Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-fc98bb252ff94b4daaad8f52a9282b432023-12-16T06:08:04ZengElsevierSoftwareX2352-71102023-12-0124101534Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolboxAmin Najafi0Masoud Masih-Tehrani1School of Automotive Engineering, Iran University of Science and Technology, Tehran, IranCorresponding author.; School of Automotive Engineering, Iran University of Science and Technology, Tehran, IranThis 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.http://www.sciencedirect.com/science/article/pii/S2352711023002303Equivalent circuit model (ECM)State of chargeBattery parameter estimation (BPE)Hybrid adaptive battery parameter estimation (HABPE) |
| spellingShingle | Amin Najafi Masoud Masih-Tehrani Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox SoftwareX Equivalent circuit model (ECM) State of charge Battery parameter estimation (BPE) Hybrid adaptive battery parameter estimation (HABPE) |
| title | Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox |
| title_full | Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox |
| title_fullStr | Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox |
| title_full_unstemmed | Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox |
| title_short | Hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox |
| title_sort | hybrid adaptive battery parameter estimation approach for equivalent circuit model toolbox |
| topic | Equivalent circuit model (ECM) State of charge Battery parameter estimation (BPE) Hybrid adaptive battery parameter estimation (HABPE) |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023002303 |
| work_keys_str_mv | AT aminnajafi hybridadaptivebatteryparameterestimationapproachforequivalentcircuitmodeltoolbox AT masoudmasihtehrani hybridadaptivebatteryparameterestimationapproachforequivalentcircuitmodeltoolbox |