Multi-objective optimization of multi-channel cold plate under intermittent pulsating flow by RSM and NSGA-Ⅱ for thermal management of electric vehicle lithium-ion battery pack
The heat transfer and energy consumption characteristics are the most important performance parameters of cold plate for thermal management of electric vehicle lithium-ion battery pack. In this work, in order to address the issue about multi-objective optimization of multi-channel cold plate under i...
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| Published in: | Energy (Oxford) Vol. 283; p. 129085 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
15.11.2023
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| Subjects: | |
| ISSN: | 0360-5442 |
| Online Access: | Get full text |
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| Abstract | The heat transfer and energy consumption characteristics are the most important performance parameters of cold plate for thermal management of electric vehicle lithium-ion battery pack. In this work, in order to address the issue about multi-objective optimization of multi-channel cold plate under intermittent pulsating flow, RSM (Response Surface Methodology) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) is combined to make a trade-off between the average heat transfer coefficient and energy consumption of multi-channel cold plate under intermittent pulsating flow. Box-Behnken design is used to arrange a series of numerical investigations using the steady flow velocity vin, pulsation amplitude A, and pulsation frequency e as design variables and the average heat transfer coefficient have and energy consumption W as objective functions. Regression models are created in the form of quadratic polynomials, and the significance of each term in the model is determined by analysis of variance (ANOVA). Results show that the linear term of vin has the greatest effect on have and W. According to the Pareto optimal solution obtained from NSGA-II, the optimal objective functions are have = 394.7012 W m−2 °C−1, W = 0.1086 J, and the corresponding design variables are vin = 0.02392 m/s, A = 0.1778 and e = 3.1846 Hz.
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•Heat transfer and energy consumption characteristics of multi-channel cold plate are considered.•RSM and NSGA-II is combined for the multi-objective optimization.•The distribution of Pareto-optimal solutions is obtained.•The optimal parameters of intermittent pulsating flow are determined. |
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| AbstractList | The heat transfer and energy consumption characteristics are the most important performance parameters of cold plate for thermal management of electric vehicle lithium-ion battery pack. In this work, in order to address the issue about multi-objective optimization of multi-channel cold plate under intermittent pulsating flow, RSM (Response Surface Methodology) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) is combined to make a trade-off between the average heat transfer coefficient and energy consumption of multi-channel cold plate under intermittent pulsating flow. Box-Behnken design is used to arrange a series of numerical investigations using the steady flow velocity vᵢₙ, pulsation amplitude A, and pulsation frequency e as design variables and the average heat transfer coefficient hₐᵥₑ and energy consumption W as objective functions. Regression models are created in the form of quadratic polynomials, and the significance of each term in the model is determined by analysis of variance (ANOVA). Results show that the linear term of vᵢₙ has the greatest effect on hₐᵥₑ and W. According to the Pareto optimal solution obtained from NSGA-II, the optimal objective functions are hₐᵥₑ = 394.7012 W m⁻² °C⁻¹, W = 0.1086 J, and the corresponding design variables are vᵢₙ = 0.02392 m/s, A = 0.1778 and e = 3.1846 Hz. The heat transfer and energy consumption characteristics are the most important performance parameters of cold plate for thermal management of electric vehicle lithium-ion battery pack. In this work, in order to address the issue about multi-objective optimization of multi-channel cold plate under intermittent pulsating flow, RSM (Response Surface Methodology) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) is combined to make a trade-off between the average heat transfer coefficient and energy consumption of multi-channel cold plate under intermittent pulsating flow. Box-Behnken design is used to arrange a series of numerical investigations using the steady flow velocity vin, pulsation amplitude A, and pulsation frequency e as design variables and the average heat transfer coefficient have and energy consumption W as objective functions. Regression models are created in the form of quadratic polynomials, and the significance of each term in the model is determined by analysis of variance (ANOVA). Results show that the linear term of vin has the greatest effect on have and W. According to the Pareto optimal solution obtained from NSGA-II, the optimal objective functions are have = 394.7012 W m−2 °C−1, W = 0.1086 J, and the corresponding design variables are vin = 0.02392 m/s, A = 0.1778 and e = 3.1846 Hz. [Display omitted] •Heat transfer and energy consumption characteristics of multi-channel cold plate are considered.•RSM and NSGA-II is combined for the multi-objective optimization.•The distribution of Pareto-optimal solutions is obtained.•The optimal parameters of intermittent pulsating flow are determined. |
| ArticleNumber | 129085 |
| Author | Li, Qingqing Zhou, Kun Zuo, Wei Li, Dexin Cheng, Qianju E, Jiaqiang |
| Author_xml | – sequence: 1 givenname: Wei surname: Zuo fullname: Zuo, Wei organization: The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, 430081, China – sequence: 2 givenname: Dexin surname: Li fullname: Li, Dexin organization: The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, 430081, China – sequence: 3 givenname: Qingqing surname: Li fullname: Li, Qingqing email: liqingqing426@163.com organization: The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, 430081, China – sequence: 4 givenname: Qianju surname: Cheng fullname: Cheng, Qianju organization: School of Mechanical and Electrical Engineering, Huanggang Normal University, Huanggang, 438000, China – sequence: 5 givenname: Kun surname: Zhou fullname: Zhou, Kun organization: The State Key Laboratory of Refractories and Metallurgy, Wuhan University of Science and Technology, Wuhan, 430081, China – sequence: 6 givenname: Jiaqiang surname: E fullname: E, Jiaqiang organization: College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China |
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| Keywords | Multi-channel cold plate Multi-objective optimization Intermittent pulsating flow Non-dominated sorting genetic algorithm II Response surface methodology |
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publication-title: Energy doi: 10.1016/j.energy.2022.125384 |
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| SubjectTerms | algorithms analysis of variance cold electric vehicles energy heat transfer heat transfer coefficient Intermittent pulsating flow lithium batteries Multi-channel cold plate Multi-objective optimization Non-dominated sorting genetic algorithm II Response surface methodology steady flow |
| Title | Multi-objective optimization of multi-channel cold plate under intermittent pulsating flow by RSM and NSGA-Ⅱ for thermal management of electric vehicle lithium-ion battery pack |
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