Comments (3)
Thanks for the info. @ardunn @patrickherring-TRI
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In general, no. There are several different targets for an ML model, depending on the application. In our 2019 publication, the target was the cycle_index
to 80% of initial capacity, but this was because the SOC window was the same for all cells.
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Hi @nsankar there are multiple ways to determine the dependent variable for the ML model. You do so by getting particular features from the structured file .
If you use the beep featurize
command with all_targets
you can see them; they include things like @patrickherring-TRI was saying, but they can also include properties from the diagnostic cycles.
You can also find these features programmatically with the TrajectoryFastCharge
and DiagnosticProperties
classes.
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