Deere + Company

Yujiang Wu

Kent D Wanner

Christopher John Tremel

Lav Thyagarajan

Jared Lervik

Abram Haich

Zhuoyan Xu

A motor control system includes 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, and memory hardware configured to store a machine learning model and computer-executable instructions. The machine learning model is trained to generate a winding temperature estimation output based on motor operating parameter inputs. The motor control system includes processor hardware configured to execute the instructions and use the machine learning model to cause the motor control system to generate a winding temperature estimation output using the machine learning model based on the first operating parameter and the second operating parameter, 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.

Deep learning models for electric motor winding temperature estimation and control

An inverter system is configured to mitigate oscillation of a rotary system that drives a generator or electric machine. A torque damping module is configured to receive a commanded torque or an observed torque and to generate a commanded compensating torque to dampen any mechanical oscillation or resonance of the rotary system based on the observed rotational speed of the generator. The torque damping module further comprises a digital filter of order greater than one, a gain adjuster and a limiter.

System and method for damping of mechanical oscillaton of a rotor of an electric machine in a vehicle

An inverter system for mitigating oscillation of an electric motor that drives a load comprises a torque command generation module for receiving a commanded torque from an operator of a vehicle. A torque damping module is configured to receive the commanded torque and generating a commanded compensating torque to dampen any mechanical oscillation or resonance of the electric motor based on the observed rotational speed of the motor. The torque damping module further comprises a digital filter of order greater than one, a gain adjuster and a limiter.

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Fargo, ND, United States of America

Yujiang Wu