fastga_he.models.propulsion.components.connectors.dc_sspc.components.sizing_efficiency module
- class fastga_he.models.propulsion.components.connectors.dc_sspc.components.sizing_efficiency.SizingDCSSPCEfficiency(**kwargs)[source]
Bases:
ExplicitComponentIt was observed that having a varying efficiency for the SSPC, even for very small variation can cause the process not to converge. It was thus decided to have a fixed efficiency during the whole mission. That being said, this efficiency depends on the power caliber see [VSH+21] and we know that this efficiency mainly depends on the losses in the current conducting part of the SSPC which is approximated as 2 IGBT modules and diode see [LFP12]. Default value for gate voltage are taken from the reference IGBT, the SEMiX453GB12M7p.
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.