PROJECT TITLE: Model-based Reliability Analysis and Optimization for Power Electronic Systems
PhD period: 2018.07.01 – 2019.06.30.
Section: Power Electronic Systems
Research Programmes: Efficient and Reliable Power Electronics
Supervisor: Frede Blaabjerg
Co-Supervisor: Huai Wang
Collaborator: Danfoss, Grundfos, Vestas.
Funding: Advanced Power Electronic Technology and Tools (APETT) project.
Nowadays, power electronics are being widely used in many mission-critical applications such as, renewable power generation, motor drives, traction applications, or power transmission. Due to its essential role within power systems, the reliability performance of the power electronic system is one of the main factors that influences the overall efficiency and cost of the system. However, previous experience and various studies throughout the literature have shown that in many applications the power electronics tend to be the most fragile components and the “bottleneck” of the entire system with respect to reliability.
Unfortunately, the conventional reliability improvement approach of power converters is still mainly based on the failure information and statistics from the field. Due to the fact that this method is expensive and very time-consuming, the need for prior reliability assessment, during the design and development phase, arises. By introducing a reliability evaluation tool within the initial phases of the product life cycle, the weaknesses and lifetime of the power converter can be identified before introducing the product into the market.
Thus, this PhD project aims at carrying out an in-depth model-based reliability investigation on three study-case applications (photovoltaic, wind power generation and motor drive), with respect to both component-level and system-level reliability. In order to have a clear understanding of the assumptions behind the models employed within the reliability assessment procedure, a parameter sensitivity and risk analysis will be carried out. Moreover, the prospect for reliability-oriented optimization will be studied. Finally, a model-based tool platform (Design for Reliability and Robustness – DfR2) for the analysis, optimization and design of power electronic systems will be developed in order to facilitate fast and straightforward reliability assessment of power electronic components and to cumulate all the research outcomes of this project.
Publications in journals and conference papers may be found at VBN.