DocumentCode
1600783
Title
Modeling diode reverse recovery and corresponding implementation in fast time-domain simulation
Author
Wang, Hao ; Liu, Jinjun ; Wang, Runxin ; Hou, Qinsan
Author_Institution
Sch. of Electr. Eng., Xian Jiaotong Univ., Xian
fYear
2007
Firstpage
871
Lastpage
875
Abstract
Existing power diode models in most time-domain circuit simulators cannot accurately present the reverse recovery characteristics of actual diode devices with fast simulation speed. Ma-Lauritzen model is a relatively simple solution for modeling the reverse recovery of diode with reasonable accuracy but so far little result has been reported on the methodology and process for applications in circuit simulators. Based on Ma-Lauritzen model, this paper proposes a configuration and implementation methodology for building diode models with reverse recovery characteristics in an ordinary time-domain circuit simulator like SIMPLIS. A silicon power diode 8ETX06 is selected for simulation speed and accuracy evaluation regarding the proposed modeling methodology and implementation approach. Furthermore, simulation and hardware test results on a switching power converter are shown to verify that the diode model following the proposed building method is reasonably accurate and fast in dynamic waveform emulation and component stress estimation for the reverse recovery process.
Keywords
circuit simulation; power semiconductor diodes; semiconductor device models; switching convertors; time-domain analysis; 8ETX06 silicon power diode; Ma-Lauritzen model; diode reverse recovery modeling; dynamic waveform emulation; fast time-domain simulation; power diode model; power diode models; switching power converter; time-domain circuit simulators; Circuit simulation; Circuit testing; Hardware; P-i-n diodes; Power electronics; Semiconductor diodes; Silicon; Switching converters; Time domain analysis; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics, 2007. ICPE '07. 7th Internatonal Conference on
Conference_Location
Daegu
Print_ISBN
978-1-4244-1871-8
Electronic_ISBN
978-1-4244-1872-5
Type
conf
DOI
10.1109/ICPE.2007.4692510
Filename
4692510
Link To Document