fastga_he.models.propulsion.components.loads.pmsm.components.sizing_loss_coefficient_scaling module

class fastga_he.models.propulsion.components.loads.pmsm.components.sizing_loss_coefficient_scaling.SizingMotorLossCoefficientScaling(**kwargs)[source]

Bases: ExplicitComponent

Computation of loss coefficients scaling factor for cylindrical PMSM.

Main losses considered in this model are : - Joules losses (alpha * T^2) - Hysteresis losses (beta * omega) - Eddy current losses (gamma * omega^2)

Scaling of alpha coefficient is taken from [Tha18]. Scaling of beta and gamma is obtained based on a regression on the EMRAX family efficiency maps. Regression can be seen in ..methodology.free_run_losses_scaling.

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.