Torque Control Based on Rotor Resistance Modeling in Induction Motors
US-2022052633-A1 · Feb 17, 2022 · US
US11575341B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11575341-B1 |
| Application number | US-202117514239-A |
| Country | US |
| Kind code | B1 |
| Filing date | Oct 29, 2021 |
| Priority date | Oct 29, 2021 |
| Publication date | Feb 7, 2023 |
| Grant date | Feb 7, 2023 |
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A method for predicting a rotor temperature of an electric motor for an electric vehicle. The method includes measuring at least one of an operating parameter of the electric motor; inputting the at least one of the operating parameter of the electric motor into a predetermined regression model to predict a rotor temperature of the electric motor; and communicating the rotor temperature of the electric motor to a vehicle control module for managing the electric motor. The operating parameters includes a measured stator temperature, a torque level output, a rotor speed, and a coolant flowrate of the fixture electric motor. The electric motor may be that of an induction motor.
Opening claim text (preview).
What is claimed is: 1. A method for predicting a rotor temperature of an electric motor for an electric vehicle, comprising: measuring at least one operating parameter of the electric motor; inputting the at least one operating parameter of the electric motor into a predetermined regression model to predict a rotor temperature of the electric motor; and communicating a predicted rotor temperature of the electric motor to a control module for managing at least one thermal limits of the electric motor; wherein the at least one operating parameter of the electric motor comprises of a torque output, a rotor speed, and a stator temperature; wherein the at least one operating parameter of the electric motor further comprises a coolant flow rate; wherein the predetermined regression model is a mathematic relationship between a measured rotor temperature of a reference electric motor and at least one measured operating parameter of the reference electric motor including a torque output, a rotor speed, a stator temperature, and a coolant flow rate; and wherein the regression model is developed by a method comprising of: operating the reference electric motor at multiple predetermined rotor speeds; operating the reference electric motor at multiple predetermined torque levels at each of the multiple predetermined rotor speeds; measuring a rotor temperature and a stator temperature of the reference electric motor at each of the multiple predetermined torque levels at each of the multiple predetermined rotor speeds; measuring at least one of operating parameter of the reference electric motor at each of the at multiple predetermined torque levels at each of the multiple predetermined rotor speeds; and using regression analysis to develop a mathematic relationship between a difference in the measured rotor temperature and the measured stator temperature of the reference electric motor versus the at least one measured operating parameter of the reference electric motor. 2. The method of claim 1 , wherein the reference electric motor is one of: (i) a reference fixture electric motor configured to have substantially a same performance and operating characteristics as that of the electric motor for the electric vehicle, and (ii) a reference modified production electric motor having means to measure the rotor temperature of the modified production electric motor. 3. The method of claim 1 , wherein the at least one measured operating parameter of the reference electric motor comprises a stator temperature, a torque level output, a rotor speed, and a coolant flowrate. 4. The method of claim 1 , wherein the mathematic relationship is calibrated against the differences between the measured stator temperatures and the measured rotor temperatures and the at least one measured operating parameter of the reference electric motor. 5. The method of claim 1 , wherein the regression model expresses a causal relationship between a difference in rotor temperature minus stator temperature as a function of the at least one measured operating parameter of the reference electric motor. 6. A method of developing a predictive model to predict a rotor temperature of an electric motor in a vehicle, comprising: operating a reference induction motor at multiple predetermined coolant flow rate levels; operating the reference induction motor at multiple predetermined rotor speeds at each of the multiple predetermined coolant flow rate levels; operating the reference induction motor at multiple predetermined torque levels at each of the multiple predetermined rotor speeds at each of the multiple predetermined coolant flow rate levels; measuring a rotor temperature, a stator temperature, and an operating parameter of the reference induction motor at each of the multiple predetermined torque levels at each of the multiple predetermined rotor speeds for each of the multiple predetermined coolant flow rate levels; and developing a mathematic relationship between a difference between the measured stator temperature and the measured rotor temperature of the reference induction motor as a function of the measured operating parameter. 7. The method of claim 6 , wherein measured operating parameter includes a stator temperature, a torque level output, a rotor speed, and a coolant flow rate of the reference induction motor. 8. The method of claim 7 , further comprising determining a new control variable using a difference between stator temperature and rotor temperature. 9. The method of claim 7 , wherein the mathematic relationship developed by using regression analysis. 10. The method of claim 7 , wherein the reference induction motor is configured to have substantially the same performance and operating characteristics as that of a vehicle electric motor, and the mathematic relationship represents a difference between the rotor temperature minus the stator temperature as a function of an operating parameters of the vehicle electric motor.
Temperature · CPC title
Speed · CPC title
relating to electrical machines · CPC title
Torque · CPC title
Asynchronous machines · CPC title
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