fastga_he.models.propulsion.components.source.high_rpm_ice.components.stale.sizing_high_rpm_ice_sfc_k_coefficient module
- class fastga_he.models.propulsion.components.source.high_rpm_ice.components.stale.sizing_high_rpm_ice_sfc_k_coefficient.SizingHighRPMICESFCKCoefficient(**kwargs)[source]
Bases:
ExplicitComponentThe SFC based on the MEP will be computed under the form of a + exp(-k*(MEP-MEP_MAX)) with coefficient a nd k computed to match the value of the sfc at the min and max value of the MEP computed based on regression on the Rotax 912 family. For more information on the method check in …ice_rotax.methodology.fuel_consumption_regression.py
Store some bound methods so we can detect runtime overrides.
- compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)[source]
Compute outputs given inputs. The model is assumed to be in an unscaled state.
An inherited component may choose to either override this function or to define a compute_primal function.
- Parameters:
inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].
outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].
discrete_inputs (dict-like or None) – If not None, dict-like object containing discrete input values.
discrete_outputs (dict-like or None) – If not None, dict-like object containing discrete output values.
- compute_partials(inputs, partials, discrete_inputs=None)[source]
Compute sub-jacobian parts. The model is assumed to be in an unscaled state.
- Parameters:
inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].
partials (Jacobian) – Sub-jac components written to partials[output_name, input_name]..
discrete_inputs (dict or None) – If not None, dict containing discrete input values.