Dataset used is confidential test data and cannot be shared
However, the repo att-ar/ecm_battery_simulation outputs data in the same structure as the dataset that was used:
time in seconds, current in Amperes, voltage in Volts, soc in percentage (regular SI units)
time | current | voltage | soc |
---|---|---|---|
0.0 | 0.0 | 3.65 | 95 |
1.0 | -8.0 | 3.50 | 94.99 |
... | ... | ... | ... |
This repo contains a pytorch LSTM network that will be used to estimate State of Charge for a LFP Li-ion (LFP chemistry) cell from real time voltage, current and time data
The LSTM input will be voltage, current, and previous SOC points in a batch of windowed data of shape: (G.batch_size, G.window_size, G.num_features)
The voltage, current and soc data will be from time:
The output should be the SOC prediction at time (G.batch_size, 1)
98% accurate: