Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 23Silicon Carbide Semiconductor TechnologiesMultilevel Inverters and ConvertersInduction Heating and Inverter Technology

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index; none of the 18 sources its claims cite is checked for support yet.

Evaluation of Frequency and Temperature Dependence of Power Losses Difference in Parallel IGBTs

Open access

Abstract

With the development of high power converters, safe operation of IGBT modules with parallel chips is of increasing importance. IGBT can work normally in safe range in the initial operation even if current imbalance is happening. However, if the uneven current state lasts too long, it is difficult to keep a uniform junction temperature, which can further lead to uneven distribution of the power losses. In severe cases, the device and converter may be damaged due to overheating. This paper studies the stability of such an interactive process with mathematical modelling backed by experiment. Because of the opposite sensitivities of switching and conduction losses to temperature under high current injection, the concept of `inflection point frequency characteristic' is introduced to evaluate the trend of junction temperature mismatches between the parallel IGBT chips. The inflection point frequency at different current and temperature levels is tested to verify the model prediction, and the applicability of this approach in multi-chip parallel module is discussed. By establishing the relationship between the switching frequency and the thermal stability limit of parallel IGBTs, it can provide a feasible reference for improving the reliability of multi-chip parallel power devices.

Overview

CoChat Summary

TL;DR

This paper models how temperature affects switching and conduction losses in parallel IGBTs and introduces an “inflection point frequency” at which the total loss difference between chips is zero. Experiments with two parallel Infineon IHW20N120R2 IGBTs verify that this frequency falls as junction-temperature difference rises and as parallel current falls.

Key findings

  • Switching loss increases with temperature while conduction loss decreases under high current injection, giving opposite temperature sensitivities; at the inflection point frequency \(f_0\), the total loss difference is zero and the junction temperature difference remains unchanged.
  • For two parallel IHW20N120R2 devices at duty cycle 0.99, the inflection point frequency decreased from 20.8 kHz to 9.4 kHz as junction temperature difference increased from 25°C to 125°C; at 25°C difference, it decreased from 20.8 kHz to 3.3 kHz as parallel current decreased from 43 A to 16 A.
  • The switching-loss temperature coefficient fitted for Infineon trench-gate IHW20N120R2 was \(\phi = 2.263\).
  • For 1700 V/1000 A multi-chip modules at 25°C junction temperature difference and duty cycle 0.99, the minimum inflection point frequency was several kHz for the Infineon module and only a few hundred Hz for the SEMIKRON module.

Methods

  • Mathematical derivation of turn-on/turn-off switching loss and conduction loss versus temperature; defines \(f_0 = |D U_{ce} \Delta I_c| / \Delta E_{sw}\) and a minimum inflection point frequency for multi-chip modules.
  • Double-pulse test with two parallel Infineon IHW20N120R2 IGBTs; T1 was heated by an electric heating plate, T2 was kept at 25°C room temperature, DC voltage was 400 V, and verification focused on high current injection.
  • Experimental extraction of inflection point frequency at different current and temperature differences; multi-chip applicability was assessed using datasheet data for FF1000R17IE4 and SKM1000GB17R8 modules.

Limitations

  • Stated: only switching and conduction losses are considered; off-state blocking loss is ignored. Experimental verification is discussed for high current injection because the inflection point only occurs there.
  • Stated/evident: multi-chip parallel module applicability is discussed using datasheet data, not experimentally tested; the experiments use two discrete parallel IGBTs, not a multi-chip module.
  • Evident: T2 is fixed at 25°C while T1 is heated, so thermal coupling and dynamic self-heating between chips are not directly tested; the paper has no dedicated limitations section.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1109/access.2020.2995971

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

FIGURE 1 IGBT turn-on waveform.
FIGURE 1 IGBT turn-on waveform.CC-BY · From the PDF
FIGURE 2 IGBT turn-off waveform.
FIGURE 2 IGBT turn-off waveform.CC-BY · From the PDF
Image 3
CC-BY · From the PDF
Image 4
CC-BY · From the PDF
FIGURE 4 Effect of temperature on static characteristics of IGBT.
FIGURE 4 Effect of temperature on static characteristics of IGBT.CC-BY · From the PDF
FIGURE 5 Temperature-frequency characteristics of parallel IGBTs.
FIGURE 5 Temperature-frequency characteristics of parallel IGBTs.CC-BY · From the PDF
FIGURE 6 Temperature difference-frequency characteristics of parallel IGBTs.
FIGURE 6 Temperature difference-frequency characteristics of parallel IGBTs.CC-BY · From the PDF
FIGURE 7 Temperature difference-frequency characteristics at different duty cycles.
FIGURE 7 Temperature difference-frequency characteristics at different duty cycles.CC-BY · From the PDF
Image 9
CC-BY · From the PDF
Image 10
CC-BY · From the PDF
Image 11
CC-BY · From the PDF
Image 12
CC-BY · From the PDF
Image 13
CC-BY · From the PDF
FIGURE 9 Parallel IGBTs switching process at different temperature difference.
FIGURE 9 Parallel IGBTs switching process at different temperature difference.CC-BY · From the PDF
FIGURE 10 Switching loss characteristics of parallel IGBT under different experimental conditions.
FIGURE 10 Switching loss characteristics of parallel IGBT under different experimental conditions.CC-BY · From the PDF
FIGURE 11 Experimental results of conduction current difference of parallel IGBTs.
FIGURE 11 Experimental results of conduction current difference of parallel IGBTs.CC-BY · From the PDF
FIGURE 12 Experimental results of inflection point frequency characteristics.
FIGURE 12 Experimental results of inflection point frequency characteristics.CC-BY · From the PDF
FIGURE 13 Minimum inflection point frequency at different current levels at 25 C temperature difference.
FIGURE 13 Minimum inflection point frequency at different current levels at 25 C temperature difference.CC-BY · From the PDF
Image 19
CC-BY · From the PDF
Image 20
CC-BY · From the PDF
Image 21
CC-BY · From the PDF
Image 22
CC-BY · From the PDF

Verification

Claims the paper makes

31 Own interpretation · 18 Own result · 8 Sources not found · 2 Own method

30 more claims

Create a free account to see all 59 claims and every source verdict.

See all claims — free account
  • It may state two separate claims as one. 19
  • Probably not a substantial claim. 6

Create a free account to see these claims.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Show all 34 references

Research works printed but not linked: 3

  1. sun, 2015, Junction temperature extraction of high power IGBT module based on turn-off delay time, Proc CSEE, 35, 3366
  2. li, 2016, Review and prospect of junction temperature extraction principle of high power semiconductor devices, Proc CSEE, 36, 3546
  3. zhao, 2019, Control technologies for power electronic hybrid systems in high-voltage high-power applications: A review, High Voltage Eng, 45, 2017

Cited by

Metadata

Authors
Yang, J., Che, Y., Ran, L., & Jiang, H.
Affiliations
  • Tianjin University (CN)
  • Chongqing University (CN)
Venue
IEEE Access
Published
2020
Volume
8
Pages
104074-104084
ISSN
2169-3536 (ISSN-L)
OpenAlex
W3026744421
Cited by
23
References
34
Citations by year
2026: 1 · 2025: 3 · 2024: 8 · 2022: 5 · 2021: 5 · 2020: 1
FWCI
0.95
Type
journal article
Language
en
Open access
Locations
  • IEEE Access (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Basic Research Program of China (2018YFB0905803)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Silicon Carbide Semiconductor Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Multilevel Inverters and Converters
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Induction Heating and Inverter Technology
Keywords
current imbalance, power loss distribution, switching losses, conduction losses, thermal stability limit, temperature dependence, power device reliability, high-power converters

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-12, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-12 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.