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Refactor the dataset class to support multiple datasets with the optimisation workflows able to support either serialised or parallel fitting / design optimisation for the combined datasets. Additional improvements would include a weighting function for the datasets.
Motivation
This functionality would enable design optimisation for varying operating conditions (fast-charge, CC-CV, GITT, etc.) with different initial conditions.
Possible implementation
Refactor dataset class for multi-instance
Update optimisation class with loop or vectorisation for instances in dataset
Sum cost across datasets with applied weighting function
Proceed with current optimisation loop
Additional context
No response
The text was updated successfully, but these errors were encountered:
Feature description
Refactor the dataset class to support multiple datasets with the optimisation workflows able to support either serialised or parallel fitting / design optimisation for the combined datasets. Additional improvements would include a weighting function for the datasets.
Motivation
This functionality would enable design optimisation for varying operating conditions (fast-charge, CC-CV, GITT, etc.) with different initial conditions.
Possible implementation
Additional context
No response
The text was updated successfully, but these errors were encountered: