pyleecan.Classes.LossModelBertotti module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Simulation/LossModelBertotti

class LossModelBertotti(k_hy=None, k_ed=None, k_ex=None, alpha_hy=None, alpha_ed=None, alpha_ex=None, group='core', get_meshsolution=False, N0=- 1, name='', is_show_fig=False, init_dict=None, init_str=None)[source]

Bases: LossModel

Bertotti Loss Model Class

VERSION = 1
F_REF = 50
B_REF = 1.5
comp_loss(output, part_label)

Compute the Losses

comp_coeff_Bertotti(mat)

Compute the missing (i.e. None-valued) Bertotti loss coefficients from the Material object data by data fitting.

Parameters:
Returns:

success – Return ‘True’ if parameter fitting was successful.

Return type:

bool

comp_loss_density(meshsolution)
Compute the losses density (per kg) according to the following model equation:

Loss = C0*f*B^C1 + C2*(f*B)^C3 + C4*(f*B)^C4

Parameters:
  • self (LossModelBertotti) – a LossModelBertotti object

  • field (DataND) – a DataND object that contains the flux density values

Returns:

loss_density – a DataND object of the normalized losses

Return type:

DataND

save(save_path='', is_folder=False, type_handle_old=2, type_compression=0)

Save the object to the save_path

Parameters:
  • self – A pyleecan object

  • save_path (str) – path to the folder to save the object

  • is_folder (bool) – to split the object in different files: separate simulation machine and materials (json only)

  • type_handle_old (int) – How to handle old file in folder mode (0:Nothing, 1:Delete, 2:Move to “Backup” folder)

  • type_compression (int) – Available only for json, 0: no compression, 1: gzip

get_logger()

Get the object logger or its parent’s one

Parameters:

obj – A pyleecan object

Returns:

logger – Pyleecan object dedicated logger

Return type:

logging.Logger

compare(other, name='self', ignore_list=None, is_add_value=False)[source]

Compare two objects and return list of differences

as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)[source]

Convert this object in a json serializable dict (can be use in __init__). type_handle_ndarray: int

How to handle ndarray (0: tolist, 1: copy, 2: nothing)

keep_functionbool

True to keep the function object, else return str

Optional keyword input parameter is for internal use only and may prevent json serializability.

copy()[source]

Creates a deepcopy of the object

property k_hy

Hysteresis loss coefficient

Type:

float

property k_ed

Eddy current loss coefficient

Type:

float

property k_ex

Excess loss coefficient

Type:

float

property alpha_hy

Hysteresis loss power coefficient

Type:

float

property alpha_ed

Eddy current loss power coefficient

Type:

float

property alpha_ex

Excess loss power coefficient

Type:

float

property group

String to override default FEA group to apply model

Type:

str

property get_meshsolution

Store the loss density

Type:

bool

property N0

List of rotor speeds to override actual speed

Type:

list