Dual Estimation

The dual estimation works by operating separate filters on the transient state and the state-of-health.

Assembling Filters

The two filters for a dual estimator differ by how the CellModel is used.

The transient filter relies on a CellModelWrapper to project how the transient states evolve and affect the measurements.

cell_wrapper = CellModelWrapper(cell_model=cell_model,
                                asoh=initial_asoh,
                                transients=initial_transients,
                                inputs=initial_inputs)
transients_hidden = MultivariateGaussian(mean=initial_transients.flatten(),
                                         uncertainty_matrix=covariance_transient)
trans_filter = UKF(model=cell_wrapper,
                   initial_hidden=transients_hidden,
                   initial_controls=initial_controls)

The ASOH filter uses a a DegradationModelWrapper to evaluate how to tie changes in the state of health to the observed outputs.

asoh_wrapper = DegradationModelWrapper(cell_model=cell_model,
                                       asoh=initial_asoh,
                                       transients=initial_transients,
                                       inputs=initial_inputs)
asoh_hidden = MultivariateGaussian(mean=initial_asoh.get_parameters().flatten(),
                                   covariance=covariance_asoh)
asoh_filter = UKF(model=asoh_wrapper,
                  initial_hidden=asoh_hidden,
                  initial_controls=initial_controls)

Build the estimator with these two filters

DualEstimator(transient_filter=trans_filter, asoh_filter=asoh_filter)