| Abstract |
As the demand for electric vehicles continues to grow, robust fatigue modeling tools will be a keyenabler in the success of power module products and technology. Predictive modeling tools can helppredict performance characteristics for customers, optimize design materials/geometries/features totake advantage of the superior characteristics of SiC, estimate fatigue and lifetime, reduce time tomarket by minimizing testing time and resources, and reduce product cost by minimizing unnecessaryover design.The fundamental challenge of simulating SiC power module characteristics is that they multi-physicsproblem comprised of several different fields including electrical, mechanical, thermal, chemical, andmaterial science as well as combinations of each. Therefore, the simulation tools must be capable ofcoupling multi-physics models, boundary conditions, and material properties to accurately predictpower module characteristics.In this presentation, a predictive fatigue model will be presented highlighting tradeoffs highlightingthe substrate attach thermal shock life based on sweeping multiple modules parameters. |
