In-Situ Diagnostics and Prognostics of Solder Fatigue in IGBT Modules for Electric Vehicle Drives
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1491
- Type
- D - Journal article
- DOI
-
10.1109/TPEL.2014.2318991
- Title of journal
- IEEE Transactions on Power Electronics
- Article number
- 3
- First page
- 1535
- Volume
- 30
- Issue
- 3
- ISSN
- 0885-8993
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
https://doi.org/10.1109/TPEL.2014.2318991
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper demonstrates field prognosis and health monitoring techniques to be integrated into electric vehicle drive. It impacts the design of smart-power-converter systems (Texas Instrument: Patents US 10771052 B2 and US 10291225 B2) and health monitoring (NUtech Ventures: Patents US 10288672 B2) towards ensuring reliable through-life operation. The output shows how device-level situational awareness may be seamlessly integrated into a total system solution for electric vehicle power converters, improving maintenance effectiveness of traction drives towards a new paradigm in intelligent power modules. It is included in influential reviews (e.g. Hannan et al 2017 Renewable and Sustainable Energy Reviews FWCI 5.4).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -