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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Main Authors: Liteng Zeng, Yuli Hu, Chengyi Lu, Guang Pan, Mengjie Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Marine Science and Engineering
Subjects:
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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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
work_keys_str_mv AT litengzeng arrheniusequationbasedmodeltopredictlithiumionsbatteriesperformance
AT yulihu arrheniusequationbasedmodeltopredictlithiumionsbatteriesperformance
AT chengyilu arrheniusequationbasedmodeltopredictlithiumionsbatteriesperformance
AT guangpan arrheniusequationbasedmodeltopredictlithiumionsbatteriesperformance
AT mengjieli arrheniusequationbasedmodeltopredictlithiumionsbatteriesperformance