Damage detection of joining technologies for printed controller boards in automobiles

The reliable design of power electronics for automobiles is one of the major challenges in the advancing electrification of the powertrain. The printed controller boards (PCB) in particular are affected by the demanding operating conditions. The objective of this ongoing investigation is to analyze the effect of different joining technologies between the PCB and the casing on the reliability. Therefore, a structural health monitoring (SHM) concept is presented based on a Bayesian model updating framework that monitors changes in the stiffness of the joint connection. To cope with the computational challenges associated with the approach, parametric model order reduction is applied. The concept is validated by a generic use case where one of the joints has a sudden loss of stiffness.