Analysis Module

Analysis Module#

Analysis code for wireless power transfer systems.

class wpt_tools.analysis.MinMax(min: float, max: float, step: float | None)#

Bases: object

Class for minimum and maximum values and step size.

Parameters:

  • min (float) – The minimum value.

  • max (float) – The maximum value.

  • step (Optional[float]) – The step size.

__init__(min: float, max: float, step: float | None)#

Initialize the class.

min: float#
max: float#
step: float | None#
class wpt_tools.analysis.NwTools#

Bases: object

Stateless utilities for analyzing scikit-rf rf.Network objects.

static analyze_efficiency(rich_nw: RichNetwork, rx_port: int = 2, show_plot: bool = False, show_data: bool = True, target_f: float | None = None, range_f: float | None = None) → EfficiencyResults#

Analyze the efficiency of the network.

Parameters:

  • rich_nw (RichNetwork) – The network to analyze.

  • rx_port (int) – The port to analyze.

  • show_plot (bool) – Whether to show the plot.

  • show_data (bool) – Whether to show the data.

  • target_f (Optional[float]) – The target frequency.

  • range_f (Optional[float]) – The range of the target frequency.

Returns:

The results of the efficiency solver.

Return type:

EfficiencyResults

Raises:

  • ValueError – If the target frequency is not found within the specified range.

  • TypeError – If the network is not a rf.Network or nw_with_config.

static fit_z_narrow(rich_nw: RichNetwork, show_plot: bool = False, show_data: bool = True, target_f: float | None = None, range_f: float | None = None) → LCRFittingResults#

Fit simple LCR models in a narrow frequency band and optionally plot.

Parameters:

  • rich_nw (RichNetwork) – The network to fit.

  • show_plot (bool) – Whether to show the plot.

  • show_data (bool) – Whether to show the fit.

  • target_f (Optional[float]) – The target frequency.

  • range_f (Optional[float]) – The range of the target frequency.

Returns:

The results of the LCR fitting.

Return type:

LCRFittingResults

static calc_rxc_filter(rich_nw: RichNetwork, rx_port: Literal[1, 2], rload: float, *, target_f: float | None = None, range_f: float | None = None, show_data: bool = True, c_network: Literal['CpCsRl'] = 'CpCsRl')#

Compute receiver RXC filter using solver and print a summary.

static sweep_load(rich_nw: RichNetwork, rez_range: MinMax, imz_range: MinMax, rx_port: Literal[1, 2], input_voltage: float | None = 1, target_f: float | None = None, range_f: float | None = None, show_plot: bool = False)#

Compute load sweep results and optionally plot them. Returns results.

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