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Article

Surrogate Model-Based Heat Sink Design for Energy Storage Converters

by
Gege Qiao
1,
Wenping Cao
1,*,
Yawei Hu
1,
Jiucheng Li
2,
Lu Sun
2 and
Cungang Hu
1
1
School of Electrical Engineering and Automation, Anhui University, Hefei 230031, China
2
Asunx Semiconductors Co., Ltd., Hefei 230093, China
*
Author to whom correspondence should be addressed.
Energies 2023, 16(3), 1075; https://doi.org/10.3390/en16031075
Submission received: 31 October 2022 / Revised: 30 November 2022 / Accepted: 8 December 2022 / Published: 18 January 2023
(This article belongs to the Special Issue Energy, Electrical and Power Engineering 2021-2022)
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Abstract

As forced-air cooling for heat sinks is widely used in the cooling design of electrical and electronic equipment, their thermal performance is of critical importance for maintaining excellent cooling capacity while reducing the size and weight of the heat sink and the equipment as a whole. This paper presents a method based on the combination of computational fluid dynamics (CFD) simulation and surrogate models to optimize heat sinks for high-end energy storage converters. The design takes the thermal resistance and mass of the heat sink as the optimization goals and looks for the best design for the fin height, thickness and spacing, as well as the base thickness. The analytical and numerical results show that the thermal resistance and mass of the heat sink are reduced by the proposed algorithms, as are the temperatures of the heating elements. Test results verify the effectiveness of the optimization method combining CFD simulation with surrogate models.
Keywords: computational fluid dynamics (CFD); energy storage; surrogate model; design optimization; heat sinks; power converters computational fluid dynamics (CFD); energy storage; surrogate model; design optimization; heat sinks; power converters

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MDPI and ACS Style

Qiao, G.; Cao, W.; Hu, Y.; Li, J.; Sun, L.; Hu, C. Surrogate Model-Based Heat Sink Design for Energy Storage Converters. Energies 2023, 16, 1075. https://doi.org/10.3390/en16031075

AMA Style

Qiao G, Cao W, Hu Y, Li J, Sun L, Hu C. Surrogate Model-Based Heat Sink Design for Energy Storage Converters. Energies. 2023; 16(3):1075. https://doi.org/10.3390/en16031075

Chicago/Turabian Style

Qiao, Gege, Wenping Cao, Yawei Hu, Jiucheng Li, Lu Sun, and Cungang Hu. 2023. "Surrogate Model-Based Heat Sink Design for Energy Storage Converters" Energies 16, no. 3: 1075. https://doi.org/10.3390/en16031075

APA Style

Qiao, G., Cao, W., Hu, Y., Li, J., Sun, L., & Hu, C. (2023). Surrogate Model-Based Heat Sink Design for Energy Storage Converters. Energies, 16(3), 1075. https://doi.org/10.3390/en16031075

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