Lifecycle Extensions through Software-Defined Predictive Control of Power Electronics
In electric vehicles, the change of electrical loads occurs during changing driving situations. The alternating load conditions causes thermo-mechanical stress in the components, which can lead to a failure of the power electronic sub-system.
The stress accumulation can be reduced and the lifetime can therefore be increased by controlling the temperature of the power transistors. This lifetime extension can vary depending on the load cycle and control strategy. Optimization is particularly efficient if the expected electrical loads are predicted by live -information from the cloud and from inline monitoring of the state-of-health parameters of the power electronics.
The goal is the direct integration of power electronics as part of an intelligent, predictive management system. On the one hand, this will involve the continuous acquisition of state-of-health parameters for the power electronics, which will be reported to the intelligent management system; on the other hand, cloud-based services will be included to proactively influence the control of the power electronics by predicting expected load and environmental changes.
KIT: Institut für Technik der Informationsverarbeitung (ITIV, Prof. Becker, Prof. Stork)
Universität Stuttgart: Institut für Leistungselektronik und Elektrische Antriebe (ILEA, Prof. Roth-Stielow)
Universität Stuttgart: Institut für Robuste Leistungshalbleitersysteme (ILH, Prof. Kallfass)
Research Coordinator "Software-System-Architectures"