Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model
Abstract The capacity of lithium batteries varies under different temperature conditions. However, many studies still neglect the influence of temperature on battery capacity. Besides, some studies only considered the combination of the heat and electricity of the battery monomer and failed to study...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-07-01
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Series: | Energy Science & Engineering |
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Online Access: | https://doi.org/10.1002/ese3.1477 |
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author | Liteng Zeng Yuli Hu Chengyi Lu Guang Pan |
author_facet | Liteng Zeng Yuli Hu Chengyi Lu Guang Pan |
author_sort | Liteng Zeng |
collection | DOAJ |
description | Abstract The capacity of lithium batteries varies under different temperature conditions. However, many studies still neglect the influence of temperature on battery capacity. Besides, some studies only considered the combination of the heat and electricity of the battery monomer and failed to study the performance of the battery pack in groups. This paper investigates a new method for dynamic situations that takes the influence of temperature on battery capacity into consideration. After acquiring the parameter through experiment, we can substitute the performance parameters into the thermoelectric coupling model and use MATLAB to realize the iterative calculation of thermoelectric coupling. By combining the grouping mode with the model, we can simulate the thermodynamic and electrical properties of the battery cell in the pack. The novelty is evident because the paper focused on the battery pack instead of a single cell and the lumped parameter thermal model is adopted. Besides, the method proposed in this paper considered the influence of temperature on battery capacity. The program of calculation process can be solidified on the vehicle system. After the simulation, we can get the available capacity of the battery pack at different initial temperatures, with different grouping modes and different inconsistency of parameters. The results predicted by MATLAB model are compared with the results of MATLAB‐FLUENT thermoelectric coupling simulation. The result reflects that the prediction by the MATLAB model about the available capacity, temperature, and residual electricity is of good precision. |
first_indexed | 2024-03-13T00:54:39Z |
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id | doaj.art-e5051e0c271141dab0c68ece972f85a5 |
institution | Directory Open Access Journal |
issn | 2050-0505 |
language | English |
last_indexed | 2024-03-13T00:54:39Z |
publishDate | 2023-07-01 |
publisher | Wiley |
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series | Energy Science & Engineering |
spelling | doaj.art-e5051e0c271141dab0c68ece972f85a52023-07-07T06:33:21ZengWileyEnergy Science & Engineering2050-05052023-07-011172614262910.1002/ese3.1477Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal modelLiteng Zeng0Yuli Hu1Chengyi Lu2Guang Pan3School of Marine Science and Technology Northwestern Polytechnical University Xi'an ChinaSchool of Marine Science and Technology Northwestern Polytechnical University Xi'an ChinaSchool of Marine Science and Technology Northwestern Polytechnical University Xi'an ChinaSchool of Marine Science and Technology Northwestern Polytechnical University Xi'an ChinaAbstract The capacity of lithium batteries varies under different temperature conditions. However, many studies still neglect the influence of temperature on battery capacity. Besides, some studies only considered the combination of the heat and electricity of the battery monomer and failed to study the performance of the battery pack in groups. This paper investigates a new method for dynamic situations that takes the influence of temperature on battery capacity into consideration. After acquiring the parameter through experiment, we can substitute the performance parameters into the thermoelectric coupling model and use MATLAB to realize the iterative calculation of thermoelectric coupling. By combining the grouping mode with the model, we can simulate the thermodynamic and electrical properties of the battery cell in the pack. The novelty is evident because the paper focused on the battery pack instead of a single cell and the lumped parameter thermal model is adopted. Besides, the method proposed in this paper considered the influence of temperature on battery capacity. The program of calculation process can be solidified on the vehicle system. After the simulation, we can get the available capacity of the battery pack at different initial temperatures, with different grouping modes and different inconsistency of parameters. The results predicted by MATLAB model are compared with the results of MATLAB‐FLUENT thermoelectric coupling simulation. The result reflects that the prediction by the MATLAB model about the available capacity, temperature, and residual electricity is of good precision.https://doi.org/10.1002/ese3.1477lithium battery packMATLAB‐FLUENT joint simulationtemperaturethermoelectric coupling |
spellingShingle | Liteng Zeng Yuli Hu Chengyi Lu Guang Pan Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model Energy Science & Engineering lithium battery pack MATLAB‐FLUENT joint simulation temperature thermoelectric coupling |
title | Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model |
title_full | Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model |
title_fullStr | Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model |
title_full_unstemmed | Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model |
title_short | Performance evaluation of lithium battery pack based on MATLAB simulation with lumped parameter thermal model |
title_sort | performance evaluation of lithium battery pack based on matlab simulation with lumped parameter thermal model |
topic | lithium battery pack MATLAB‐FLUENT joint simulation temperature thermoelectric coupling |
url | https://doi.org/10.1002/ese3.1477 |
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