The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 10, 2024

Filed:

Aug. 02, 2022
Applicant:

The Board of Trustees of the University of Alabama, Tuscaloosa, AL (US);

Inventors:

Shuhui Li, Northport, AL (US);

Weizhen Dong, Pomona, CA (US);

Yixiang Gao, Pomona, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02P 21/00 (2016.01); B60W 20/30 (2016.01); B60W 50/12 (2012.01);
U.S. Cl.
CPC ...
B60W 20/30 (2013.01); B60W 50/12 (2013.01); B60W 2510/082 (2013.01); B60W 2510/083 (2013.01);
Abstract

A method for determining MTPA, flux-weakening, and MTPV operating points over the full speed range of an IPM motor for the most efficient torque control of the motor using a neural network is provided. The neural network is trained using a cloud-based neural network training algorithm. A special technique is developed to generate neural network training data, that is particularly suitable and favorable, to develop a high-performance neural network-based IPM torque control system, and the impact of variable motor parameters is embedded into the neural network system development and training. The provided method can achieve a fast and accurate current reference generation with a simple neural network structure, for optimal torque control of an IPM motor. The method can handle the MTPA, MTPV, and flux-weakening operation considering physical motor constraints.


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