Thermal Parameter and State Estimation for Digital Twins of E-Powertrain Components

The performance of powertrain components in electric vehicles is tightly intertwined with their thermal behavior. In practical applications, temperature must be monitored and kept below certain thresholds to avoid drops failure. Sensors, however, cannot always placed at critical locations. Instead, it possible use numerical models estimate relevant magnitudes during system operation. Thermal effects electronic can represented a compact way using lumped-parameter equivalent circuits. These combined sensor readings from the device under study develop digital twins them monitor temperatures test this paper, we put forward method generate e-powertrain elements such as power inverters. circuit equations are obtained general-purpose simulation software tool optimized enable real-time execution. Kalman filters then used fuse results model measurements component temperatures. proposed provides inputs parameters drift away actual approach demonstrated simple benchmark example three-phase inverter.