| CPC H02P 29/64 (2016.02) [G01R 31/343 (2013.01); G01R 31/346 (2013.01)] | 20 Claims |
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1. A motor control system comprising:
a motor including a plurality of windings;
a first sensor configured to sense a first operating parameter of the motor;
a second sensor configured to sense a second operating parameter of the motor;
memory hardware configured to store a machine learning model and computer-executable instructions, the machine learning model trained to generate a winding temperature estimation output based on motor operating parameter inputs; and
processor hardware configured to execute the instructions and use the machine learning model to cause the motor control system to,
generate the winding temperature estimation output using the machine learning model based on the motor operating parameter inputs, the using the machine learning model including inputting an input feature vector to the machine learning model, the input feature vector derived from a combination of current parameter values of the first operating parameter and the second operating parameter and summarized historical parameter values, of the first operating parameter and the second operating parameter, over a specified time period, and the temperature estimation output indicative of a predicted temperature of the plurality of windings; and
control the motor based on the winding temperature estimation output.
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