Parametric study and optimization on novel fork‐type mini‐channel network cooling plates for a Li‐ion battery module under high discharge current rates
Summary When a lithium‐ion battery works under high current, its working temperature is easy to exceed the allowable working temperature, resulting in the decrease of battery life. This may cause the non‐uniformity of the internal working temperature of the battery and affect the working parameters...
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| Veröffentlicht in: | International journal of energy research 2021-10, Vol.45 (12), p.17784-17804 |
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| container_title | International journal of energy research |
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| creator | Li, Qing Shi, Hang‐bo Xie, Gongnan Xie, Zhongliang Liu, Huan‐ling |
| description | Summary
When a lithium‐ion battery works under high current, its working temperature is easy to exceed the allowable working temperature, resulting in the decrease of battery life. This may cause the non‐uniformity of the internal working temperature of the battery and affect the working parameters of the battery. Therefore, an effective thermal management system is needed to enhance the thermal performance of the battery, improve the work efficiency, and extend the service life of the battery. In this study, we propose a new type of fork type mini‐channel cooling plate based on genetic optimization algorithm to reduce the working temperature of battery and obtain better thermal uniformity. First, the thermal performance of co‐current type cooling plates is experimentally and numerically studied. The heat transfer ability of cross flow cooling plates used to cool the Li‐ion Battery is evaluated by parametric method. Second, a multi‐objective genetic algorithm optimization is finally performed, considering the balance of the maximum value for temperature and pressure drop. Compared with the previous study, the reduction of temperature difference of this cooling plate can be up to 2°C. In contrast, the pressure drop penalty and thermal resistance of the optimized cooling plates can be reduced by 20% and 40%, respectively. Thirdly the thermal performance of a battery module with eight battery cells is also examined numerically. The maximum ∆T of the battery pack among cells is 4.83°C for V = 48 mL/s, which implies that the battery pack can work normally. This study indicates that batteries with the proposed new cooling plates have much better temperature uniformity.
To reduce the operating temperature of lithium battery and prolong the cycle life, we aim to propose a novel fork‐type mini‐channel network cooling plate, and the performance of cooling plate for the Li‐ion battery is experimentally and numerically studied. A multi‐objective genetic algorithm optimization is performed considering the balance of the maximum temperature and pressure drop. The results showed that the cooling plate kept the battery at a normal operating temperature. |
| doi_str_mv | 10.1002/er.6933 |
| format | Article |
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When a lithium‐ion battery works under high current, its working temperature is easy to exceed the allowable working temperature, resulting in the decrease of battery life. This may cause the non‐uniformity of the internal working temperature of the battery and affect the working parameters of the battery. Therefore, an effective thermal management system is needed to enhance the thermal performance of the battery, improve the work efficiency, and extend the service life of the battery. In this study, we propose a new type of fork type mini‐channel cooling plate based on genetic optimization algorithm to reduce the working temperature of battery and obtain better thermal uniformity. First, the thermal performance of co‐current type cooling plates is experimentally and numerically studied. The heat transfer ability of cross flow cooling plates used to cool the Li‐ion Battery is evaluated by parametric method. Second, a multi‐objective genetic algorithm optimization is finally performed, considering the balance of the maximum value for temperature and pressure drop. Compared with the previous study, the reduction of temperature difference of this cooling plate can be up to 2°C. In contrast, the pressure drop penalty and thermal resistance of the optimized cooling plates can be reduced by 20% and 40%, respectively. Thirdly the thermal performance of a battery module with eight battery cells is also examined numerically. The maximum ∆T of the battery pack among cells is 4.83°C for V = 48 mL/s, which implies that the battery pack can work normally. This study indicates that batteries with the proposed new cooling plates have much better temperature uniformity.
To reduce the operating temperature of lithium battery and prolong the cycle life, we aim to propose a novel fork‐type mini‐channel network cooling plate, and the performance of cooling plate for the Li‐ion battery is experimentally and numerically studied. A multi‐objective genetic algorithm optimization is performed considering the balance of the maximum temperature and pressure drop. The results showed that the cooling plate kept the battery at a normal operating temperature.</description><identifier>ISSN: 0363-907X</identifier><identifier>EISSN: 1099-114X</identifier><identifier>DOI: 10.1002/er.6933</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Inc</publisher><subject>Algorithms ; Batteries ; Cells ; Cooling ; Cross flow ; fork‐type mini‐channel ; Genetic algorithms ; Heat transfer ; Lithium ; Lithium-ion batteries ; Li‐ion battery ; maximum temperature ; Modules ; multi‐objective optimization ; Optimization ; Parametric methods ; Parametric statistics ; Plates ; Pressure drop ; Service life ; Temperature differences ; Temperature gradients ; Thermal management ; Thermal resistance</subject><ispartof>International journal of energy research, 2021-10, Vol.45 (12), p.17784-17804</ispartof><rights>2021 John Wiley & Sons Ltd.</rights><rights>2021 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fer.6933$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fer.6933$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Li, Qing</creatorcontrib><creatorcontrib>Shi, Hang‐bo</creatorcontrib><creatorcontrib>Xie, Gongnan</creatorcontrib><creatorcontrib>Xie, Zhongliang</creatorcontrib><creatorcontrib>Liu, Huan‐ling</creatorcontrib><title>Parametric study and optimization on novel fork‐type mini‐channel network cooling plates for a Li‐ion battery module under high discharge current rates</title><title>International journal of energy research</title><description>Summary
When a lithium‐ion battery works under high current, its working temperature is easy to exceed the allowable working temperature, resulting in the decrease of battery life. This may cause the non‐uniformity of the internal working temperature of the battery and affect the working parameters of the battery. Therefore, an effective thermal management system is needed to enhance the thermal performance of the battery, improve the work efficiency, and extend the service life of the battery. In this study, we propose a new type of fork type mini‐channel cooling plate based on genetic optimization algorithm to reduce the working temperature of battery and obtain better thermal uniformity. First, the thermal performance of co‐current type cooling plates is experimentally and numerically studied. The heat transfer ability of cross flow cooling plates used to cool the Li‐ion Battery is evaluated by parametric method. Second, a multi‐objective genetic algorithm optimization is finally performed, considering the balance of the maximum value for temperature and pressure drop. Compared with the previous study, the reduction of temperature difference of this cooling plate can be up to 2°C. In contrast, the pressure drop penalty and thermal resistance of the optimized cooling plates can be reduced by 20% and 40%, respectively. Thirdly the thermal performance of a battery module with eight battery cells is also examined numerically. The maximum ∆T of the battery pack among cells is 4.83°C for V = 48 mL/s, which implies that the battery pack can work normally. This study indicates that batteries with the proposed new cooling plates have much better temperature uniformity.
To reduce the operating temperature of lithium battery and prolong the cycle life, we aim to propose a novel fork‐type mini‐channel network cooling plate, and the performance of cooling plate for the Li‐ion battery is experimentally and numerically studied. A multi‐objective genetic algorithm optimization is performed considering the balance of the maximum temperature and pressure drop. The results showed that the cooling plate kept the battery at a normal operating temperature.</description><subject>Algorithms</subject><subject>Batteries</subject><subject>Cells</subject><subject>Cooling</subject><subject>Cross flow</subject><subject>fork‐type mini‐channel</subject><subject>Genetic algorithms</subject><subject>Heat transfer</subject><subject>Lithium</subject><subject>Lithium-ion batteries</subject><subject>Li‐ion battery</subject><subject>maximum temperature</subject><subject>Modules</subject><subject>multi‐objective optimization</subject><subject>Optimization</subject><subject>Parametric methods</subject><subject>Parametric statistics</subject><subject>Plates</subject><subject>Pressure drop</subject><subject>Service life</subject><subject>Temperature differences</subject><subject>Temperature gradients</subject><subject>Thermal management</subject><subject>Thermal resistance</subject><issn>0363-907X</issn><issn>1099-114X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNotkN1Kw0AQhRdRsFbxFRa8lNb9yTbdSyn-QUERhd6FzWbSbk1242ZjiVc-gi_gy_kkbqgwMAPnzDfMQeickiklhF2Bn84k5wdoRImUE0qT1SEaET7jE0nS1TE6adstIVGj6Qj9PCmvagjeaNyGruixsgV2TTC1-VTBOItjWfcBFS6df_v9-g59A7g21sRZb5S1UbIQdlHF2rnK2DVuKhWgHTawwsvBOZByFQL4Hteu6CrAnS3A441Zb3Bh2ojya8C68x5swH4AnKKjUlUtnP33MXq9vXlZ3E-Wj3cPi-vlpGFUxr-SApTUIhXzhDGhYg5AmNaQEBAgE84TXQqhRSI1SwkHAjnP56rMU8Uh5XyMLvbcxrv3DtqQbV3nbTyZMZESlgpOkui63Lt2poI-a7yple8zSrIh-Ax8NgSf3TwPjf8BdAJ9qw</recordid><startdate>20211010</startdate><enddate>20211010</enddate><creator>Li, Qing</creator><creator>Shi, Hang‐bo</creator><creator>Xie, Gongnan</creator><creator>Xie, Zhongliang</creator><creator>Liu, Huan‐ling</creator><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>7TN</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>SOI</scope></search><sort><creationdate>20211010</creationdate><title>Parametric study and optimization on novel fork‐type mini‐channel network cooling plates for a Li‐ion battery module under high discharge current rates</title><author>Li, Qing ; Shi, Hang‐bo ; Xie, Gongnan ; Xie, Zhongliang ; Liu, Huan‐ling</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2193-94dea9c57584225a100e02cce40e5e94334cf55c549c2703e0eb3b8afb7a3e733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Batteries</topic><topic>Cells</topic><topic>Cooling</topic><topic>Cross flow</topic><topic>fork‐type mini‐channel</topic><topic>Genetic algorithms</topic><topic>Heat transfer</topic><topic>Lithium</topic><topic>Lithium-ion batteries</topic><topic>Li‐ion battery</topic><topic>maximum temperature</topic><topic>Modules</topic><topic>multi‐objective optimization</topic><topic>Optimization</topic><topic>Parametric methods</topic><topic>Parametric statistics</topic><topic>Plates</topic><topic>Pressure drop</topic><topic>Service life</topic><topic>Temperature differences</topic><topic>Temperature gradients</topic><topic>Thermal management</topic><topic>Thermal resistance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Qing</creatorcontrib><creatorcontrib>Shi, Hang‐bo</creatorcontrib><creatorcontrib>Xie, Gongnan</creatorcontrib><creatorcontrib>Xie, Zhongliang</creatorcontrib><creatorcontrib>Liu, Huan‐ling</creatorcontrib><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>International journal of energy research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Qing</au><au>Shi, Hang‐bo</au><au>Xie, Gongnan</au><au>Xie, Zhongliang</au><au>Liu, Huan‐ling</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Parametric study and optimization on novel fork‐type mini‐channel network cooling plates for a Li‐ion battery module under high discharge current rates</atitle><jtitle>International journal of energy research</jtitle><date>2021-10-10</date><risdate>2021</risdate><volume>45</volume><issue>12</issue><spage>17784</spage><epage>17804</epage><pages>17784-17804</pages><issn>0363-907X</issn><eissn>1099-114X</eissn><abstract>Summary
When a lithium‐ion battery works under high current, its working temperature is easy to exceed the allowable working temperature, resulting in the decrease of battery life. This may cause the non‐uniformity of the internal working temperature of the battery and affect the working parameters of the battery. Therefore, an effective thermal management system is needed to enhance the thermal performance of the battery, improve the work efficiency, and extend the service life of the battery. In this study, we propose a new type of fork type mini‐channel cooling plate based on genetic optimization algorithm to reduce the working temperature of battery and obtain better thermal uniformity. First, the thermal performance of co‐current type cooling plates is experimentally and numerically studied. The heat transfer ability of cross flow cooling plates used to cool the Li‐ion Battery is evaluated by parametric method. Second, a multi‐objective genetic algorithm optimization is finally performed, considering the balance of the maximum value for temperature and pressure drop. Compared with the previous study, the reduction of temperature difference of this cooling plate can be up to 2°C. In contrast, the pressure drop penalty and thermal resistance of the optimized cooling plates can be reduced by 20% and 40%, respectively. Thirdly the thermal performance of a battery module with eight battery cells is also examined numerically. The maximum ∆T of the battery pack among cells is 4.83°C for V = 48 mL/s, which implies that the battery pack can work normally. This study indicates that batteries with the proposed new cooling plates have much better temperature uniformity.
To reduce the operating temperature of lithium battery and prolong the cycle life, we aim to propose a novel fork‐type mini‐channel network cooling plate, and the performance of cooling plate for the Li‐ion battery is experimentally and numerically studied. A multi‐objective genetic algorithm optimization is performed considering the balance of the maximum temperature and pressure drop. The results showed that the cooling plate kept the battery at a normal operating temperature.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/er.6933</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Algorithms Batteries Cells Cooling Cross flow fork‐type mini‐channel Genetic algorithms Heat transfer Lithium Lithium-ion batteries Li‐ion battery maximum temperature Modules multi‐objective optimization Optimization Parametric methods Parametric statistics Plates Pressure drop Service life Temperature differences Temperature gradients Thermal management Thermal resistance |
| title | Parametric study and optimization on novel fork‐type mini‐channel network cooling plates for a Li‐ion battery module under high discharge current rates |
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