Streaming continuous 100Hz vibration and current telemetry across millions of vehicles over LTE/5G is financially and technically impossible. Automotive digital twin architectures run edge inference models to detect early motor bearing anomalies and battery cell voltage imbalances locally, streaming only synthesized degradation metrics to the cloud twin.
Drive unit accelerometers capture mechanical vibrations at 2,048 samples per second. Running an edge-optimized Cooley-Tukey FFT directly inside the DSP of the motor inverter MCU converts the time-domain waveform into spectral peak bins. When vibration energy at the characteristic outer race defect frequency exceeds safe thresholds, the system flags a mechanical service event weeks before catastrophic failure occurs.