A CFD–GPR–NSGA-II Framework for Thermal–Hydraulic Optimization of Mini-Channel Liquid Cooling Plates in Electric Vehicle Battery Thermal Management Systems.

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Title: A CFD–GPR–NSGA-II Framework for Thermal–Hydraulic Optimization of Mini-Channel Liquid Cooling Plates in Electric Vehicle Battery Thermal Management Systems.
Authors: Cong, Nguyen Thanh1 (AUTHOR), Ngoc, Nguyen Thi Hong1,2 (AUTHOR), Chau, Nguyen Minh1,3 (AUTHOR), Quan, Do Van1 (AUTHOR), Binh, Vu Duc2 (AUTHOR), Quang, Nguyen Manh1,3 (AUTHOR), Dat, Le Dinh3 (AUTHOR), Van Nghiep, Dinh1 (AUTHOR), Quynh, Le Van1 (AUTHOR) lequynh@tnut.edu.vn
Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2621. 29p.
Subject Terms: *Electric vehicle batteries, *Computational fluid dynamics, *Gaussian processes, *Hydronics, *Temperature control, *Multi-objective optimization
Abstract: Liquid-cooled battery thermal management systems are essential for maintaining thermal safety, temperature uniformity, and hydraulic efficiency in electric vehicle battery modules. However, improving heat dissipation often increases pressure drop and pumping demand, making the thermal–hydraulic trade-off a key challenge in cooling plate design. This study develops a CFD–GPR–NSGA-II-based multi-objective optimization framework for a mini-channel liquid cooling plate applied to a cylindrical 18650 lithium-ion battery module under a 4C discharge condition. The mini-channel thickness, wall thickness, and coolant inlet velocity are selected as design variables, while the maximum battery temperature, temperature difference, and pressure drop are used as objective functions. Sixty design samples are generated using Latin hypercube sampling and evaluated through CFD simulations. Gaussian process regression models are then constructed to approximate the nonlinear relationships between the design variables and the thermal–hydraulic responses, and the trained surrogate models are coupled with NSGA-II to identify Pareto-optimal solutions. The selected compromise design is finally verified using a full CFD simulation. Compared with the initial configuration, the CFD-verified optimized design reduces the maximum temperature, temperature difference, and pressure drop by 0.569 K, 0.557 K, and 338.612 Pa, respectively. Although the reduction in peak temperature is moderate, the optimized design improves temperature uniformity by 10.06% and reduces pressure drop by 43.25%, demonstrating a balanced improvement in thermal and hydraulic performance. A heat-load robustness check further confirms that the optimized design maintains a predictable thermal response under different heat generation levels. These results indicate that the proposed CFD–GPR–NSGA-II framework provides an effective and computationally efficient approach for designing mini-channel liquid cooling plates for electric vehicle battery thermal management. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 194588009
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  Label: Title
  Group: Ti
  Data: A CFD–GPR–NSGA-II Framework for Thermal–Hydraulic Optimization of Mini-Channel Liquid Cooling Plates in Electric Vehicle Battery Thermal Management Systems.
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  Data: <searchLink fieldCode="AR" term="%22Cong%2C+Nguyen+Thanh%22">Cong, Nguyen Thanh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ngoc%2C+Nguyen+Thi+Hong%22">Ngoc, Nguyen Thi Hong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chau%2C+Nguyen+Minh%22">Chau, Nguyen Minh</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quan%2C+Do+Van%22">Quan, Do Van</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Binh%2C+Vu+Duc%22">Binh, Vu Duc</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quang%2C+Nguyen+Manh%22">Quang, Nguyen Manh</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dat%2C+Le+Dinh%22">Dat, Le Dinh</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Van+Nghiep%2C+Dinh%22">Van Nghiep, Dinh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Quynh%2C+Le+Van%22">Quynh, Le Van</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lequynh@tnut.edu.vn</i>
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jun2026, Vol. 19 Issue 11, p2621. 29p.
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  Data: *<searchLink fieldCode="DE" term="%22Electric+vehicle+batteries%22">Electric vehicle batteries</searchLink><br />*<searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br />*<searchLink fieldCode="DE" term="%22Gaussian+processes%22">Gaussian processes</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydronics%22">Hydronics</searchLink><br />*<searchLink fieldCode="DE" term="%22Temperature+control%22">Temperature control</searchLink><br />*<searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Liquid-cooled battery thermal management systems are essential for maintaining thermal safety, temperature uniformity, and hydraulic efficiency in electric vehicle battery modules. However, improving heat dissipation often increases pressure drop and pumping demand, making the thermal–hydraulic trade-off a key challenge in cooling plate design. This study develops a CFD–GPR–NSGA-II-based multi-objective optimization framework for a mini-channel liquid cooling plate applied to a cylindrical 18650 lithium-ion battery module under a 4C discharge condition. The mini-channel thickness, wall thickness, and coolant inlet velocity are selected as design variables, while the maximum battery temperature, temperature difference, and pressure drop are used as objective functions. Sixty design samples are generated using Latin hypercube sampling and evaluated through CFD simulations. Gaussian process regression models are then constructed to approximate the nonlinear relationships between the design variables and the thermal–hydraulic responses, and the trained surrogate models are coupled with NSGA-II to identify Pareto-optimal solutions. The selected compromise design is finally verified using a full CFD simulation. Compared with the initial configuration, the CFD-verified optimized design reduces the maximum temperature, temperature difference, and pressure drop by 0.569 K, 0.557 K, and 338.612 Pa, respectively. Although the reduction in peak temperature is moderate, the optimized design improves temperature uniformity by 10.06% and reduces pressure drop by 43.25%, demonstrating a balanced improvement in thermal and hydraulic performance. A heat-load robustness check further confirms that the optimized design maintains a predictable thermal response under different heat generation levels. These results indicate that the proposed CFD–GPR–NSGA-II framework provides an effective and computationally efficient approach for designing mini-channel liquid cooling plates for electric vehicle battery thermal management. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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        Value: 10.3390/en19112621
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 29
        StartPage: 2621
    Subjects:
      – SubjectFull: Electric vehicle batteries
        Type: general
      – SubjectFull: Computational fluid dynamics
        Type: general
      – SubjectFull: Gaussian processes
        Type: general
      – SubjectFull: Hydronics
        Type: general
      – SubjectFull: Temperature control
        Type: general
      – SubjectFull: Multi-objective optimization
        Type: general
    Titles:
      – TitleFull: A CFD–GPR–NSGA-II Framework for Thermal–Hydraulic Optimization of Mini-Channel Liquid Cooling Plates in Electric Vehicle Battery Thermal Management Systems.
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            NameFull: Cong, Nguyen Thanh
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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