Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles
This study investigates the influence of the considered Electric Equivalent Circuit Model (ECM) parameter dependencies and architectures on the predicted heat generation rate by using the Bernardi equation. For this purpose, the whole workflow, from the cell characterization tests to the cell parame...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Batteries |
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| Online Access: | https://www.mdpi.com/2313-0105/9/5/274 |
| _version_ | 1797601125382225920 |
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| author | Marcus Auch Timo Kuthada Sascha Giese Andreas Wagner |
| author_facet | Marcus Auch Timo Kuthada Sascha Giese Andreas Wagner |
| author_sort | Marcus Auch |
| collection | DOAJ |
| description | This study investigates the influence of the considered Electric Equivalent Circuit Model (ECM) parameter dependencies and architectures on the predicted heat generation rate by using the Bernardi equation. For this purpose, the whole workflow, from the cell characterization tests to the cell parameter identification and finally validation studies, is examined on a cylindrical 5 Ah LG217000 Lithium-Ion-Battery (LIB) with a nickel manganese cobalt chemistry. Additionally, different test procedures are compared with respect to their result quality. For the parameter identification, a Matlab tool is developed enabling the user to generate all necessary ECMs in one run. The accuracy of the developed ECMs is evaluated by comparing voltage prediction of the experimental and simulation results for the highly dynamic World harmonized Light vehicle Test Cycle (WLTC) at different states of charges (SOCs) and ambient temperatures. The results show that parameter dependencies such as hysteresis and current are neglectable, if only the voltage results are compared. Considering the heat generation prediction, however, the neglection can result in mispredictions of up to 9% (current) or 22% (hysteresis) and hence should not be neglected. Concluding the voltage and heat generation results, this study recommends using a Dual Polarization (DP) or Thevenin ECM considering all parameter dependencies except for the charge/discharge current dependency for thermal modeling of LIBs. |
| first_indexed | 2024-03-11T03:57:02Z |
| format | Article |
| id | doaj.art-bddded2d9d454008b7d7c272c6ee0840 |
| institution | Directory Open Access Journal |
| issn | 2313-0105 |
| language | English |
| last_indexed | 2024-03-11T03:57:02Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj.art-bddded2d9d454008b7d7c272c6ee08402023-11-18T00:28:47ZengMDPI AGBatteries2313-01052023-05-019527410.3390/batteries9050274Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive CyclesMarcus Auch0Timo Kuthada1Sascha Giese2Andreas Wagner3Institute of Automotive Engineering (IFS), University of Stuttgart, 70569 Stuttgart, GermanyResearch Institute for Automotive Engineering and Vehicle Powertrain Systems Stuttgart (FKFS), 70569 Stuttgart, GermanyInstitute of Automotive Engineering (IFS), University of Stuttgart, 70569 Stuttgart, GermanyInstitute of Automotive Engineering (IFS), University of Stuttgart, 70569 Stuttgart, GermanyThis study investigates the influence of the considered Electric Equivalent Circuit Model (ECM) parameter dependencies and architectures on the predicted heat generation rate by using the Bernardi equation. For this purpose, the whole workflow, from the cell characterization tests to the cell parameter identification and finally validation studies, is examined on a cylindrical 5 Ah LG217000 Lithium-Ion-Battery (LIB) with a nickel manganese cobalt chemistry. Additionally, different test procedures are compared with respect to their result quality. For the parameter identification, a Matlab tool is developed enabling the user to generate all necessary ECMs in one run. The accuracy of the developed ECMs is evaluated by comparing voltage prediction of the experimental and simulation results for the highly dynamic World harmonized Light vehicle Test Cycle (WLTC) at different states of charges (SOCs) and ambient temperatures. The results show that parameter dependencies such as hysteresis and current are neglectable, if only the voltage results are compared. Considering the heat generation prediction, however, the neglection can result in mispredictions of up to 9% (current) or 22% (hysteresis) and hence should not be neglected. Concluding the voltage and heat generation results, this study recommends using a Dual Polarization (DP) or Thevenin ECM considering all parameter dependencies except for the charge/discharge current dependency for thermal modeling of LIBs.https://www.mdpi.com/2313-0105/9/5/274lithium-ion-batteryequivalent circuit modelBernardi equationcomputational fluid dynamicscylindrical cellheat generation |
| spellingShingle | Marcus Auch Timo Kuthada Sascha Giese Andreas Wagner Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles Batteries lithium-ion-battery equivalent circuit model Bernardi equation computational fluid dynamics cylindrical cell heat generation |
| title | Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles |
| title_full | Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles |
| title_fullStr | Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles |
| title_full_unstemmed | Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles |
| title_short | Influence of Lithium-Ion-Battery Equivalent Circuit Model Parameter Dependencies and Architectures on the Predicted Heat Generation in Real-Life Drive Cycles |
| title_sort | influence of lithium ion battery equivalent circuit model parameter dependencies and architectures on the predicted heat generation in real life drive cycles |
| topic | lithium-ion-battery equivalent circuit model Bernardi equation computational fluid dynamics cylindrical cell heat generation |
| url | https://www.mdpi.com/2313-0105/9/5/274 |
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