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Power Module Automatic Layout Optimization Based on Lattice Boltzmann Method
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Xiaoshuang HUI1, 2, 3, Puqi NING1, 2, 3, Jian CUI1, 2, 3
Journal of Power Supply | 2025, 23(1) : 236 - 242
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Journal of Power Supply | 2025, 23(1): 236-242
Power Semiconductor Devices
Power Module Automatic Layout Optimization Based on Lattice Boltzmann Method
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Xiaoshuang HUI1, 2, 3, Puqi NING1, 2, 3, Jian CUI1, 2, 3
Affiliations
  • 1 Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
  • 3 Key Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
Published: 2025-01-30 doi: 10.13234/j.issn.2095-2805.2025.1.236
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In the traditional power module automatic layout optimization algorithm, the electrical evaluation is inefficient and takes up a lot of computing time. To solve this problem, lattice Boltzmann method (LBM) is used to replace the traditional evaluation method. Since LBM does not need to solve multiple invertible matrices, it can quickly judge the rationality of electrical interconnection and calculate the voltage/current. With the program of automatic layout design based on the genetic algorithm, an evaluation method of two-dimensional layout is established by using a D2Q4 lattice type, and the accuracy of the evaluation result under the layout scheme is verified by ANSYS Q3D software simulation. A comparative test was conducted in Python 3.10, and results show that LBM reduces the total time of scheme evaluation by 75.4% on average. Moreover, the more the number of loops in the evaluation scheme, the greater the computing advantage of LBM.

Power module  /  genetic algorithm  /  lattice Boltzmann method (LBM)  /  impedance evaluation
Xiaoshuang HUI, Puqi NING, Jian CUI. Power Module Automatic Layout Optimization Based on Lattice Boltzmann Method[J]. Journal of Power Supply, 2025 , 23 (1) : 236 -242 . DOI: 10.13234/j.issn.2095-2805.2025.1.236
  • National Key R&D Program of China(2021YFB2500600)
  • CAS Youth Multi-discipline Project(JCTD-2021-09)
Year 2025 volume 23 Issue 1
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.1.236
  • Receive Date:2022-10-10
  • Online Date:2025-07-09
  • Published:2025-01-30
Article Data
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History
  • Received:2022-10-10
  • Revised:2022-12-20
  • Accepted:2023-01-19
Funding
National Key R&D Program of China(2021YFB2500600)
CAS Youth Multi-discipline Project(JCTD-2021-09)
Affiliations
    1 Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
    2 University of Chinese Academy of Sciences, Beijing 100049, China
    3 Key Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
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表12种不同金属材料的力学参数

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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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