Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance
The accuracy of Peukert’s battery capacity equation may decrease under the conditions of variable current and variable temperatures. Some researchers have previously tried to overcome the lack of C-rate change. However, the dependence of battery capacity on temperature is still not included. In this...
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MDPI AG
2022-10-01
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Series: | Journal of Marine Science and Engineering |
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Online Access: | https://www.mdpi.com/2077-1312/10/10/1553 |
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author | Liteng Zeng Yuli Hu Chengyi Lu Guang Pan Mengjie Li |
author_facet | Liteng Zeng Yuli Hu Chengyi Lu Guang Pan Mengjie Li |
author_sort | Liteng Zeng |
collection | DOAJ |
description | The accuracy of Peukert’s battery capacity equation may decrease under the conditions of variable current and variable temperatures. Some researchers have previously tried to overcome the lack of C-rate change. However, the dependence of battery capacity on temperature is still not included. In this paper, we mainly studied the capacity reduction effect of batteries under variable temperatures. The proposed method can calculate the battery’s available capacity according to the specific discharge conditions. The experimental method proposed in this paper provides a reasonable test method to generate the required coefficients in order to establish a state of charge prediction model with high accuracy. After establishing the method, we can make a real-time prediction of the available energy of battery including the remaining energy of battery. From the result, we can see that the result is of great precision and the method is valuable. |
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institution | Directory Open Access Journal |
issn | 2077-1312 |
language | English |
last_indexed | 2024-03-09T20:00:32Z |
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publisher | MDPI AG |
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series | Journal of Marine Science and Engineering |
spelling | doaj.art-ff6d33fd59a7415a90026d3c61eed3112023-11-24T00:45:59ZengMDPI AGJournal of Marine Science and Engineering2077-13122022-10-011010155310.3390/jmse10101553Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ PerformanceLiteng Zeng0Yuli Hu1Chengyi Lu2Guang Pan3Mengjie Li4School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaThe accuracy of Peukert’s battery capacity equation may decrease under the conditions of variable current and variable temperatures. Some researchers have previously tried to overcome the lack of C-rate change. However, the dependence of battery capacity on temperature is still not included. In this paper, we mainly studied the capacity reduction effect of batteries under variable temperatures. The proposed method can calculate the battery’s available capacity according to the specific discharge conditions. The experimental method proposed in this paper provides a reasonable test method to generate the required coefficients in order to establish a state of charge prediction model with high accuracy. After establishing the method, we can make a real-time prediction of the available energy of battery including the remaining energy of battery. From the result, we can see that the result is of great precision and the method is valuable.https://www.mdpi.com/2077-1312/10/10/1553lithium-ion batteryPeukert’s equationtemperatureavailable energy |
spellingShingle | Liteng Zeng Yuli Hu Chengyi Lu Guang Pan Mengjie Li Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance Journal of Marine Science and Engineering lithium-ion battery Peukert’s equation temperature available energy |
title | Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance |
title_full | Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance |
title_fullStr | Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance |
title_full_unstemmed | Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance |
title_short | Arrhenius Equation-Based Model to Predict Lithium-Ions Batteries’ Performance |
title_sort | arrhenius equation based model to predict lithium ions batteries performance |
topic | lithium-ion battery Peukert’s equation temperature available energy |
url | https://www.mdpi.com/2077-1312/10/10/1553 |
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