Accurate analytical modeling for switching energy of PiN diodes reverse recovery

Saeed Jahdi, Olayiwola Alatise, Li Ran, Philip Mawby

Research output: Contribution to journalArticle (Academic Journal)peer-review

39 Citations (Scopus)
79 Downloads (Pure)

Abstract

PiN diodes are known to significantly contribute to switching energy as a result of reverse-recovery charge during turn-off. At high switching rates, the overlap between the high peak reserve-recovery current and the high peak voltage overshoot contributes to significant switching energy. The peak reverse-recovery current depends on the temperature and switching rate, whereas the peak diode voltage overshoot depends additionally on the stray inductance. Furthermore, the slope of the diode turn-off current is constant at high insulated-gate bipolar transistor (IGBT) switching rates and varies for low IGBT switching rates. In this paper, an analytical model for calculating PiN diode switching energy at different switching rates and temperatures is presented and validated by ultrafast and standard recovery diodes with different current ratings. Measurements of current commutation in IGBT/PiN diode pairs have been made at different switching rates and temperatures and used to validate the model. It is shown here that there is an optimal switching rate to minimize switching energy. The model is able to correctly predict the switching rate and temperature dependence of the PiN diode switching energies for different devices.

Original languageEnglish
Article number6878448
Pages (from-to)1461-1470
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume62
Issue number3
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Analytical modeling
  • PiN diodes
  • reverse recovery
  • switching energy
  • switching transient
  • Switches
  • PIN photodiodes
  • Temperature measurement
  • Insulated gate bipolar transistors
  • Logic gates
  • Temperature dependence
  • Current measurement

Fingerprint

Dive into the research topics of 'Accurate analytical modeling for switching energy of PiN diodes reverse recovery'. Together they form a unique fingerprint.

Cite this