interpolate_current#

Functions#

downsample_constant_current(...)

Generate a new dataset retaining only the informative points and consistency between the

generate_consistent_current(...)

Generate a new dataset with additional data points inserted, where necessary, between

Module Contents#

interpolate_current.downsample_constant_current(dataset: pybop.processing.dataset.Dataset, tolerance: float = 1e-06) → pybop.processing.dataset.Dataset#

Generate a new dataset retaining only the informative points and consistency between the charge throughput and a linear interpolation of the current.

Parameters:

  • dataset (pybop.Dataset) – A dataset containing “Time [s]”, “Current [A]” and “Discharge capacity [A.h]”.

  • tolerance (float) – A numerical tolerance in the units of current (A) used to determine if a data point is informative relative to its neighbours.

Returns:

A new dataset containing the augmented time, current and charge throughput data.

Return type:

pybop.Dataset

interpolate_current.generate_consistent_current(dataset: pybop.processing.dataset.Dataset, tolerance: float = 0.001) → pybop.processing.dataset.Dataset#

Generate a new dataset with additional data points inserted, where necessary, between the provided data points to ensure that the total charge throughput matches the integral of a linear interpolation of the current data.

Following PyBaMM, the current takes a positive value on discharge.

Parameters:

  • dataset (pybop.Dataset) – A dataset containing “Time [s]”, “Current [A]” and “Discharge capacity [A.h]”.

  • tolerance (float) – A numerical tolerance in the units of time (seconds) used to determine if an extra point is necessary (default: 1e-3).

Returns:

A new dataset containing the augmented time, current and charge throughput data.

Return type:

pybop.Dataset