Patent ID: 11951965
Assignee: KIA CORPORATION
Field: Transport (Mechanical engineering)
Classification: CPC B  G  F | IPC B  F  G

Claim 8:
9. A method of upgrading a metamodel for friction coefficient prediction of a brake pad, the method comprising:
preprocessing, by a data preprocessor, raw data including a rotation speed, a temperature and a pressure of a brake disc to validate the raw data;
generating, by a derivative parameter preprocessor, derivative parameters from basic parameters, as output by the data preprocessor, including the rotation speed, the temperature and the pressure of the brake disc; and
generating, by a machine learning processor, the metamodel for friction coefficient prediction by performing machine learning according to the derivative parameters output by the derivative parameter preprocessor,
wherein, in the generating of the derivative parameters, the derivative parameters are defined as principal factors influencing a change in a friction coefficient by analyzing relations between the basic parameters and the friction coefficient at a point in time when a friction coefficient difference occurs under an identical condition of each of the basic parameters preprocessed by the data preprocessor.