Build a neural network model to predict battery temperature from voltage and current measurements, enabling virtual sensor deployment to reduce physical sensor count.
| Item | Detail |
|---|---|
| Entry point | VirtualSensorNeuralNetModel.mlx |
| Template | Electro-thermal (needs thermal battery data) |
| Key outputs | Trained neural network model, temperature prediction vs measured comparison |
| File | Purpose |
|---|---|
VirtualSensorNeuralNetModel.mlx |
Main live script — open this to run the workflow |
VirtualSensorNNSimRes.m |
Simulation result processing |
VirtualSensorNNVerify.m |
Model verification utility |
VirtualSensorNNModelPreTrained.mat |
Pre-trained neural network model |
VirtualSensorNNDriveProfile01.mat |
Drive profile input data |
OpenVirtualSensorNNLiveScript.m |
Helper to open the live script |
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