fastga_he.models.propulsion.components.connectors.dc_dc_converter.components.perf_efficiency_fixed module

class fastga_he.models.propulsion.components.connectors.dc_dc_converter.components.perf_efficiency_fixed.PerformancesEfficiencyMission(**kwargs)[source]

Bases: ExplicitComponent

Component which takes the desired efficiency for converter operation from the data and gives it the right format for the mission. Assume the value doesn’t depend from operating conditions, another submodel exists where efficiency are computed based on the know formula for converter losses

The input switching frequency can either be a float (then during the whole mission the frequency is going to be the same) or an array of number of points elements for the individual control of each point.

Store some bound methods so we can detect runtime overrides.

initialize()[source]

Perform any one-time initialization run at instantiation.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

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.