Massimo De Giorgio
1.2 kV SiC Wirebond-Less Integrated Low Inductance Module for Automotive Application
De Giorgio, Massimo; Li, Ke; Marchant, Stewart; de Lillo, Liliana; Empringham, Lee; Serafianos, Dimitrios; Lea, Jonathan; Brockway, Simon; Johnson, Mark
Authors
Dr KE LI Ke.Li2@nottingham.ac.uk
ASSISTANT PROFESSOR
Stewart Marchant
Dr LILIANA DE LILLO Liliana.De_lillo@nottingham.ac.uk
ASSOCIATE PROFESSOR
Professor LEE EMPRINGHAM LEE.EMPRINGHAM@NOTTINGHAM.AC.UK
PROFESSOR OF POWER CONVERSION TECHNOLOGIES
Dimitrios Serafianos
Jonathan Lea
Simon Brockway
Professor MARK JOHNSON MARK.JOHNSON@NOTTINGHAM.AC.UK
PROFESSOR OF ADVANCED POWER CONVERSION
Abstract
In this paper, a 1.2 kV wirebond-less Silicon Carbide (SiC) Intelligent Power Module (IPM) designed for automotive applications is presented. This IPM includes integrated decoupling capacitors and gate drivers. By utilizing Printed Circuit Board (PCB) technology to replace traditional wire bonds, a low-inductance structure is achieved. This design minimizes both power and gate loops when compared to standard wire bond packaging. Ansys Q3D extractor is used to extract and simulate these loops, resulting in estimated inductances of approximately 1.1 nH and less than 0.7 nH, respectively. From a design perspective, even though Schottky diodes are commonly used in commercial devices to reduce switching losses and provide protection, this design eliminates the need for additional diodes. This approach offers several advantages. Firstly, the space previously occupied by Schottky diodes can now be used to parallel multiple devices, increasing current ratings and reducing overall size, which simplifies the design. Additionally, by excluding diodes in parallel, a reduction in costs for the overall system design can be achieved. A comprehensive comparison with half bridge (HB) modules found in the literature is provided, detailing the advantages of proposed structure. The results demonstrate that this design offers a cost-effective integrated power module to meet the growing demand for higher power density in traction applications.
Citation
De Giorgio, M., Li, K., Marchant, S., de Lillo, L., Empringham, L., Serafianos, D., Lea, J., Brockway, S., & Johnson, M. (2023, November). 1.2 kV SiC Wirebond-Less Integrated Low Inductance Module for Automotive Application. Presented at 2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP), Florianopolis, Brazil
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP) |
Start Date | Nov 26, 2023 |
End Date | Nov 29, 2023 |
Acceptance Date | Aug 15, 2023 |
Online Publication Date | Feb 1, 2024 |
Publication Date | Nov 26, 2023 |
Deposit Date | May 2, 2024 |
Publicly Available Date | May 8, 2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Pages | 436-441 |
Book Title | 2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP) |
ISBN | 9798350321135 |
DOI | https://doi.org/10.1109/spec56436.2023.10408710 |
Public URL | https://nottingham-repository.worktribe.com/output/31435522 |
Publisher URL | https://ieeexplore.ieee.org/document/10408710 |
Files
1.2 KV SiC Wirebond-less Integrated Low Inductance Module For Automotive Application
(5.3 Mb)
PDF
You might also like
Impact of Vth Instability of Schottky-type p-GaN Gate HEMTs on Switching Behaviors
(2024)
Journal Article
Impact of Vth Instability of Schottky-type p-GaN Gate HEMTs on Switching Behaviors
(2024)
Journal Article
A Fast and Accurate GaN Power Transistor Model and Its Application for Electric Vehicle
(2023)
Journal Article
Deep Contrastive Representation Learning With Self-Distillation
(2023)
Journal Article
A GaN-HEMT Compact Model Including Dynamic RDSon Effect for Power Electronics Converters
(2021)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search