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    Heat Dissipation Improvement of Lithium Battery Pack with Liquid Cooling System Based on Response-Surface Optimization

    Source: Journal of Energy Engineering:;2022:;Volume ( 148 ):;issue: 004::page 04022022
    Author:
    Chaofeng Pan
    ,
    Zhe Chen
    ,
    Qiming Tang
    ,
    Zhigang He
    ,
    Limei Wang
    ,
    Huanhuan Li
    ,
    Weiqi Zhou
    DOI: 10.1061/(ASCE)EY.1943-7897.0000845
    Publisher: ASCE
    Abstract: The battery temperature rise rate is significantly increased when a lithium battery pack is discharged at a high discharge rate or charged under high-temperature conditions. An excessively high temperature will have a great impact on battery safety. In this paper, a liquid cooling system for the battery module using a cooling plate as heat dissipation component is designed. The heat dissipation performance of the liquid cooling system was optimized by using response-surface methodology. First, the three-dimensional model of the battery module with liquid cooling system was established. Second, the influence factors of the liquid cooling effect of the battery module were analyzed. Then, the optimal conditions level and corresponding response values of the factors within the global range test were obtained by response-surface optimization design. The interaction among the different factors was analyzed, and thus the combination of the factors with optimal liquid cooling heat dissipation performance was achieved. Finally, the response value predicted by the optimal combination of influencing factors in response-surface optimization analysis was obtained. The results were compared with the results calculated by software simulation under the same conditions to verify the accuracy of optimization effect of response-surface model. The results were also compared with the maximum temperature and temperature difference results of battery pack obtained from the original model so as to evaluate the optimization effect of the response-surface method. The results showed that the feasibility and liability of response-surface optimization model can be verified. The response-surface optimization method can appropriately control the parameters that effectively reduce the heat generation of batteries, which is significant for the research of battery thermal management.
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      Heat Dissipation Improvement of Lithium Battery Pack with Liquid Cooling System Based on Response-Surface Optimization

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4286262
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    • Journal of Energy Engineering

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    contributor authorChaofeng Pan
    contributor authorZhe Chen
    contributor authorQiming Tang
    contributor authorZhigang He
    contributor authorLimei Wang
    contributor authorHuanhuan Li
    contributor authorWeiqi Zhou
    date accessioned2022-08-18T12:14:26Z
    date available2022-08-18T12:14:26Z
    date issued2022/05/12
    identifier other%28ASCE%29EY.1943-7897.0000845.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286262
    description abstractThe battery temperature rise rate is significantly increased when a lithium battery pack is discharged at a high discharge rate or charged under high-temperature conditions. An excessively high temperature will have a great impact on battery safety. In this paper, a liquid cooling system for the battery module using a cooling plate as heat dissipation component is designed. The heat dissipation performance of the liquid cooling system was optimized by using response-surface methodology. First, the three-dimensional model of the battery module with liquid cooling system was established. Second, the influence factors of the liquid cooling effect of the battery module were analyzed. Then, the optimal conditions level and corresponding response values of the factors within the global range test were obtained by response-surface optimization design. The interaction among the different factors was analyzed, and thus the combination of the factors with optimal liquid cooling heat dissipation performance was achieved. Finally, the response value predicted by the optimal combination of influencing factors in response-surface optimization analysis was obtained. The results were compared with the results calculated by software simulation under the same conditions to verify the accuracy of optimization effect of response-surface model. The results were also compared with the maximum temperature and temperature difference results of battery pack obtained from the original model so as to evaluate the optimization effect of the response-surface method. The results showed that the feasibility and liability of response-surface optimization model can be verified. The response-surface optimization method can appropriately control the parameters that effectively reduce the heat generation of batteries, which is significant for the research of battery thermal management.
    publisherASCE
    titleHeat Dissipation Improvement of Lithium Battery Pack with Liquid Cooling System Based on Response-Surface Optimization
    typeJournal Article
    journal volume148
    journal issue4
    journal titleJournal of Energy Engineering
    identifier doi10.1061/(ASCE)EY.1943-7897.0000845
    journal fristpage04022022
    journal lastpage04022022-13
    page13
    treeJournal of Energy Engineering:;2022:;Volume ( 148 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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