IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i13p4884-d854778.html
   My bibliography  Save this article

Optimization Design of Packaging Insulation for Half-Bridge SiC MOSFET Power Module Based on Multi-Physics Simulation

Author

Listed:
  • Wenyi Li

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China
    Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yalin Wang

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China
    Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yi Ding

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China
    Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yi Yin

    (Key Laboratory of Control of Power Transmission and Conversion (SJTU), Ministry of Education, Shanghai 200240, China
    Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

With the development of power modules for high voltage, high temperature, and high power density, their size is becoming smaller, and the packaging insulation experiences higher electrical, thermal, and mechanical stress. Packaging insulation needs to meet the requirement that internal electric field, temperature, and mechanical stress should be as low as possible. Focusing on the coupling principles and optimization design among electrical, thermal, and mechanical stresses in the power module packaging insulation, a multi-objective optimization design method based on Spice circuit, finite element field numerical calculation, and multi-objective gray wolf optimizer (MOGWO) is proposed. The packaging insulation optimal design of a 1.2 kV SiC MOSFET half-bridge power module is presented. First, the high field conductivity characteristics of the substrate ceramic and encapsulation silicone of the packaging insulation material were tested at different temperatures and external field strengths, which provided the key insulation parameters for the calculation of electric field distribution. Secondly, according to the mutual coupling principles among electric–thermal–mechanical stress, the influence of packaging structure parameters on the electric field, temperature, and mechanical stress distribution of packaging insulation was studied by finite element calculation and combined with Spice circuit analysis. Finally, the MOGWO algorithm was used to optimize the electric field, temperature, and mechanical stress in the packaging insulation. The optimal structural parameters of the power module were used to fabricate the corresponding SiC MOSFET module. The fabricated module is compared with a commercial module by the double-pulse experiment and partial discharge experiment to verify the feasibility of the proposed design method.

Suggested Citation

  • Wenyi Li & Yalin Wang & Yi Ding & Yi Yin, 2022. "Optimization Design of Packaging Insulation for Half-Bridge SiC MOSFET Power Module Based on Multi-Physics Simulation," Energies, MDPI, vol. 15(13), pages 1-19, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4884-:d:854778
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/13/4884/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/13/4884/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cinzia Bernardeschi & Pierpaolo Dini & Andrea Domenici & Maurizio Palmieri & Sergio Saponara, 2020. "Formal Verification and Co-Simulation in the Design of a Synchronous Motor Control Algorithm," Energies, MDPI, vol. 13(16), pages 1-23, August.
    2. Pierpaolo Dini & Sergio Saponara, 2019. "Cogging Torque Reduction in Brushless Motors by a Nonlinear Control Technique," Energies, MDPI, vol. 12(11), pages 1-20, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yalin Wang & Yi Ding & Yi Yin, 2022. "Reliability of Wide Band Gap Power Electronic Semiconductor and Packaging: A Review," Energies, MDPI, vol. 15(18), pages 1-23, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ze Jiang & Xiaoyan Huang & Wenping Cao, 2022. "RLS-Based Algorithm for Detecting Partial Demagnetization under Both Stationary and Nonstationary Conditions," Energies, MDPI, vol. 15(10), pages 1-17, May.
    2. Pierpaolo Dini & Sergio Saponara, 2022. "Review on Model Based Design of Advanced Control Algorithms for Cogging Torque Reduction in Power Drive Systems," Energies, MDPI, vol. 15(23), pages 1-29, November.
    3. Marcel Nicola & Claudiu-Ionel Nicola, 2022. "Improvement of Linear and Nonlinear Control for PMSM Using Computational Intelligence and Reinforcement Learning," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    4. Pierpaolo Dini & Sergio Saponara, 2020. "Design of an Observer-Based Architecture and Non-Linear Control Algorithm for Cogging Torque Reduction in Synchronous Motors," Energies, MDPI, vol. 13(8), pages 1-20, April.
    5. Cinzia Bernardeschi & Pierpaolo Dini & Andrea Domenici & Maurizio Palmieri & Sergio Saponara, 2020. "Formal Verification and Co-Simulation in the Design of a Synchronous Motor Control Algorithm," Energies, MDPI, vol. 13(16), pages 1-23, August.
    6. Pierpaolo Dini & Sergio Saponara, 2020. "Design of Adaptive Controller Exploiting Learning Concepts Applied to a BLDC-Based Drive System," Energies, MDPI, vol. 13(10), pages 1-20, May.
    7. Lucian Mihet-Popa & Sergio Saponara, 2021. "Power Converters, Electric Drives and Energy Storage Systems for Electrified Transportation and Smart Grid Applications," Energies, MDPI, vol. 14(14), pages 1-5, July.
    8. Chaelim Jeong & Dongho Lee & Jin Hur, 2019. "Mitigation Method of Slot Harmonic Cogging Torque Considering Unevenly Magnetized Permanent Magnets in PMSM," Energies, MDPI, vol. 12(20), pages 1-15, October.
    9. Kamila Jankowska & Mateusz Dybkowski, 2021. "A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on C ri Markers," Energies, MDPI, vol. 14(12), pages 1-18, June.
    10. Massimo Caruso & Antonino Oscar Di Tommaso & Rosario Miceli & Fabio Viola, 2022. "A Cogging Torque Minimization Procedure for Interior Permanent Magnet Synchronous Motors Based on a Progressive Modification of the Rotor Lamination Geometry," Energies, MDPI, vol. 15(14), pages 1-19, July.
    11. Changchuang Huang & Baoquan Kou & Xiaokun Zhao & Xu Niu & Lu Zhang, 2022. "Multi-Objective Optimization Design of a Stator Coreless Multidisc Axial Flux Permanent Magnet Motor," Energies, MDPI, vol. 15(13), pages 1-13, June.
    12. Chao Wang & Li Wan & Tifan Xiong & Yuanlong Xie & Shuting Wang & Jianwan Ding & Liping Chen, 2021. "Hierarchical Structural Analysis Method for Complex Equation-Oriented Models," Mathematics, MDPI, vol. 9(21), pages 1-26, October.
    13. Zhiyan Zhang & Ming Zhang & Jing Yin & Jie Wu & Cunxiang Yang, 2022. "An Analytical Method for Calculating the Cogging Torque of a Consequent Pole Hybrid Excitation Synchronous Machine Based on Spatial 3D Field Simplification," Energies, MDPI, vol. 15(3), pages 1-13, January.
    14. Rafael de Farias Campos & Cesar da Silva Liberato & José de Oliveira & Tiago Jackson May Dezuo & Ademir Nied, 2022. "Dynamic Strategy for Effective Current Reduction in Brushless DC Synchronous Motors Fault Tolerant Operation," Energies, MDPI, vol. 15(24), pages 1-17, December.
    15. T. A. Anuja & M. Arun Noyal Doss, 2021. "Reduction of Cogging Torque in Surface Mounted Permanent Magnet Brushless DC Motor by Adapting Rotor Magnetic Displacement," Energies, MDPI, vol. 14(10), pages 1-20, May.
    16. Feifan Ji & Qingyu Song & Yanjun Li & Ran Cao, 2023. "An Accurate Torque Control Strategy for Permanent Magnet Synchronous Motors Based on a Multi-Closed-Loop Regulation Design," Energies, MDPI, vol. 17(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4884-:d:854778. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.