Patent ID: 11875098
Assignee: KIA MOTORS CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC B  G | IPC B  G

Claim 8:
9. A method of determining a friction coefficient of a brake friction material, the method comprising:
acquiring raw data required to generate a friction coefficient meta model to determine the friction coefficient based on information of an operation state of a brake through a preceding test evaluation process;
preprocessing, by a preprocessor, the acquired raw data according to a predetermined algorithm to acquire data required for machine learning;
training, by a processor, a model through machine learning using data acquired by the preprocessor as training data; and
further processing, by a postprocessor, the model completely trained by the machine learning unit to extract a final friction coefficient meta model to determine the friction coefficient corresponding to an operation state of a brake from an input parameter indicating the operation state of the brake;
wherein the raw data comprises data on a rotation speed and a temperature of a brake disc or a rotor and a brake hydraulic pressure, indicating the operation state of the brake, and data on the friction coefficient corresponding to the operation state of the brake.