Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

Explore

Multiobjective design of IGBT power modules considering power cycling and thermal cycling

Ji, Bing and Song, Xueguan and Sciberras, Edward and Cao, Wenping and Hu, Yihua and Pickert, Volker (2015) Multiobjective design of IGBT power modules considering power cycling and thermal cycling. IEEE Transactions on Power Electronics, 30 (5). ISSN 0885-8993

[img]
Preview
PDF (Ji-etal-TPE-2014-Multi-objective-design-of-IGBT-power-modules)
Ji_etal_TPE_2014_Multi_objective_design_of_IGBT_power_modules.pdf - Accepted Author Manuscript

Download (1MB) | Preview

Abstract

Insulated gate bipolar transistor (IGBT) power modules find widespread use in numerous power conversion applications where their reliability is of significant concern. Standard IGBT modules are fabricated for general-purpose applications while little has been designed for bespoke applications. However, conventional design of IGBTs can be improved by the multi-objective optimization technique. This paper proposes a novel design method to consider die-attachment solder failures induced by short power cycling and baseplate solder fatigue induced by the thermal cycling which are among major failure mechanisms of IGBTs. Thermal resistance is calculated analytically and the plastic work design is obtained with a high-fidelity FE model, which has been validated experimentally. The objective of minimizing the plastic work and constrain functions is formulated by the surrogate model. The non-dominated sorting genetic algorithm-II (NSGA-II) is used to search for the Pareto optimal solutions and the best design. The result of this combination generates an effective approach to optimize the physical structure of power electronic modules, taking account of historical environmental and operational conditions in the field.