Prosecution Insights
Last updated: August 06, 2026
Application No. 18/888,640

METHOD FOR OPTIMIZING OPERATING ACCURACY OF BRUSHLESS WINCH MOTOR

Non-Final OA §103
Filed
Sep 18, 2024
Priority
Jun 06, 2024 — CN 2024107320273
Examiner
IMTIAZ, ZOHEB S
Art Unit
Tech Center
Assignee
Zhejiang Nowvow Mechanical And Electrical Corp. Ltd.
OA Round
1 (Non-Final)
81%
Grant Probability
Favorable
1-2
OA Rounds
7m
Est. Remaining
95%
With Interview

Examiner Intelligence

Grants 81% — above average
81%
Career Allowance Rate
386 granted / 478 resolved
+20.8% vs TC avg
Moderate +14% lift
Without
With
+14.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
27 currently pending
Career history
499
Total Applications
across all art units

Statute-Specific Performance

§101
0.9%
-39.1% vs TC avg
§103
59.2%
+19.2% vs TC avg
§102
27.3%
-12.7% vs TC avg
§112
11.5%
-28.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 478 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-3 and 5-9 rejected under 35 U.S.C. 103 as being unpatentable over Kulkarni et al. US Poublication No.: US publication no.: US 2024/0007035 A1 in view of Chen et al. US publication no.: US 2024/0132330 A1. Regarding claim 1, Kulkarni et al. teach, A method for optimizing operating accuracy of a brushless motor, the method comprising: obtaining a basic parameter of the winch motor building a motor model based on the basic parameter of the winch motor (see the equations presented in paragraphs 26-28, wherein, the equations utilized define the motor model or characteristics including the resistance and inductance which are inherently derived), and building a flux linkage observer-based sensorless observer model based on the motor model (speed and position estimator 260, figure 2; paragraphs 26-28, which includes motor parameters into the equations such as the inductance and resistance) ; obtaining a winch motor startup signal at startup of the motor (during startup, the auto-hand off controller configures the controller for open or closed loop control; as seen in figure 2, the control system generates d-axis current Id which is essentially based on the speed and position estimator 260 and the motor model values such as inductance and resistance; see paragraphs 22-35; figure 2), outputting a d-axis reference current and a rotor position according to the motor startup signal using the flux linkage observer-based sensorless observer model and the motor model (see figure 2, where the three-phase current is converter to Id and a rotor position), and adjusting a winch motor startup parameter based on the d-axis reference current and the rotor position (auto-handoff controller 229, figure 2; adjusts operations of the motor based on the estimated values); monitoring an operating parameter of the motor in real time, and obtaining a real-time rotational speed and a real-time winding/unwinding position according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model (estimator 260 computes speed and position, figure 2); and obtaining a second offset between the real-time rotational speed of the winch motor and a preset rotational speed; performing closed-loop control of the operating parameter with the second offset as feedback parameter; and adjusting the operating parameter to optimize operating accuracy of the motor (see figure 2, where the speed is corrected) . Kulkarni et al. is silent on specifically teaching: winch motor; and obtaining a first offset between the real-time winding/unwinding position of the winch motor and a preset position; performing closed-loop control of the operating parameter with the first offset as feedback parameters; monitoring an operating parameter of the winch motor in real time; and obtaining a real-time rotational speed and a real-time winding/unwinding position of the winch motor Chen et al. teach: winch motor; and obtaining a first offset between the real-time winding/unwinding position of the winch motor and a preset position (see offset of position feedback signal, figure 6) ; performing closed-loop control of the operating parameter with the first offset as feedback parameters (further as seen in figure 6, the feedback control is provided for position); monitoring an operating parameter of the winch motor in real time; and obtaining a real-time rotational speed and a real-time winding/unwinding position of the winch motor (see figure 6, where a winch/hoist motor is provided and a feedback control is provided in which position/speed is corrected). In view of Chen et al.’s teachings, it would’ve been obvious to one with the ordinary skills in the art, before the effective filing date of the invention, with the apparatus as taught by Kulkarni et al. as modified to include; building a basic parameter timing variation model of the winch motor based on historical basic parameter data of the winch motor, and outputting the basic parameter of the winch motor based on present timing and the basic parameter timing variation model of the winch motor, for the purpose of improving the accuracy of the motor drive system in a variant motor type. Regarding claim 2, Kulkarni et al. teach, the method according to claim 1, wherein the obtaining a winch motor startup signal at startup of the winch motor, outputting a d-axis reference current and a rotor position according to the winch motor startup signal using the flux linkage observer-based sensorless observer model and the motor model (during startup, the auto-hand off controller configures the controller for open or closed loop control; as seen in figure 2, the control system generates d-axis current Id which is essentially based on the speed and position estimator 260 and the motor model values such as inductance and resistance; see paragraphs 22-35; figure 2), and adjusting a winch motor startup parameter based on the d-axis reference current and the rotor position further comprises: converting a winch motor startup current via Clark transformation to a current parameter in a two-phase stationary coordinate system (see figures 2-3 and paragraphs 23-25); converting the current parameter in the two-phase stationary coordinate system via Park transformation to a current parameter in a two-phase rotational coordinate system (see paragraph 22; for a park transform 220); and outputting the d-axis reference current and the rotor position according to the current parameter in the two-phase rotational coordinate system and a preset operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model (see id and rotor position outputs in figure 2). Regarding claim 3, Kulkarni et al. teach, the method according to claim 2, wherein the outputting the d-axis reference current and the rotor position according to the current parameter in the two-phase rotational coordinate system and a preset operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model further comprises: outputting a q-axis flux linkage using the current parameter in the two-phase rotational coordinate system as an input to the flux linkage observer-based sensorless observer model; outputting the rotor position based on a change rate of the q-axis flux linkage; and outputting the d-axis reference current based on the preset operating parameter of the winch motor and the motor model (as seen in figure 2 and paragraphs 22-35 that a flux component iq is factored into computing the d-axis current and rotor position). Regarding claim 5, Kulkarni et al. teach, the method according to claim 1, wherein the obtaining a real-time rotational speed and a real-time winding/unwinding position of the winch motor according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model further comprises: outputting an angular velocity according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model, and calculating the real-time rotational speed and the real-time winding/unwinding position according to the angular velocity (see output of 281, figure 2). Regarding claim 6, Kulkarni et al. teach, the method according to claim 1, wherein the obtaining a winch motor startup signal at startup of the winch motor, outputting a d-axis reference current and a rotor position according to the winch motor startup signal using the flux linkage observer-based sensorless observer model and the motor model, and adjusting a winch motor startup parameter based on the d-axis reference current and the rotor position further comprises: outputting the preset position and the preset rotational speed according to the winch motor startup signal using the motor model (see figure 2 and paragraphs 22-35). Regarding claim 7, Chen et al. teach, the method according to claim 1, wherein the obtaining a first offset between the real-time winding/unwinding position of the winch motor and a preset position and a second offset between the real-time rotational speed of the winch motor and a preset rotational speed, performing closed-loop control of the operating parameter with the first offset and the second offset as feedback parameters, and adjusting the operating parameter to optimize operating accuracy of the winch motor further comprises: calculating, based on the first offset, a compensating value for the second offset, performing closed-loop control of the operating parameter with the second offset and the compensating value for the second offset as feedback parameters, and adjusting the operating parameter to optimize operating accuracy of the winch motor (see position feedback correction followed by a speed feedback correction, figure 6). Regarding claim 8, Chen et al. teach, the method according to claim 1, further comprising before the obtaining a basic parameter of the winch motor, building a motor model based on the basic parameter of the winch motor, and building a flux linkage observer-based sensorless observer model based on the motor model: obtaining a relevance function between a rope travel length of the winch motor and a rotor angle of the winch motor (see paragraph 45 and 76). Regarding claim 9, Chen et al. teach, the method according to claim 8, wherein the monitoring an operating parameter of the winch motor in real time, and obtaining a real-time rotational speed and a real-time winding/unwinding position of the winch motor according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model further comprises: obtaining a corresponding relevance function between the rope travel length of the winch motor and the rotor angle of the winch motor based on winch parameters, and outputting the real-time winding/unwinding position based on the relevance function and a mechanical angle of the winch motor (see figure 2 and paragraphs 42-54). Examiner notes* Kulkarni et al. teach the feature of the rotor angle. Claim 4 is rejected under 35 U.S.C. 103 as being unpatentable over Kulkarni et al. US Publication No.: US publication no.: US 2024/0007035 A1 in view of Chen et al. US publication no.: US 2024/0132330 A1 and further in view of Li et al. Us publication no.: US 2020/0266743 A1. Regarding claim 4, Kulkarni et al. as modified is silent on specifically teaching, the method according to claim 1, wherein the obtaining a basic parameter of the winch motor, building a motor model based on the basic parameter of the winch motor, and building a flux linkage observer-based sensorless observer model based on the motor model further comprises: building a basic parameter timing variation model of the winch motor based on historical basic parameter data of the winch motor, and outputting the basic parameter of the winch motor based on present timing and the basic parameter timing variation model of the winch motor. However, Li et al. is in the same field of art and teach: building a basic parameter timing variation model of the winch motor based on historical basic parameter data of the winch motor, and outputting the basic parameter of the winch motor based on present timing and the basic parameter timing variation model of the winch motor (see paragraph 59-61, where a motor model is adjustable based on a historical data on the look up table). In view of Li et al.’s teachings, it would’ve been obvious to one with the ordinary skills in the art, before the effective filing date of the invention, with the apparatus as taught by Kulkarni et al. as modified to include; building a basic parameter timing variation model of the winch motor based on historical basic parameter data of the winch motor, and outputting the basic parameter of the winch motor based on present timing and the basic parameter timing variation model of the winch motor, for the purpose of improving the accuracy of the motor drive system. Claim 10 is rejected under 35 U.S.C. 103 as being unpatentable over Kulkarni et al. US Publication No.: US publication no.: US 2024/0007035 A1 in view of Chen et al. US publication no.: US 2024/0132330 A1 and further in view of Lobo et al. US publication no.: US 2022/0144605 A1. Regarding claim 10, Kulkarni et al. as modified’s teachings can be seen above, however, it is silent on specifically teaching, the method according to claim 1, wherein the monitoring an operating parameter of the winch motor in real time, and obtaining a real-time rotational speed and a real-time winding/unwinding position of the winch motor according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model further comprises: monitoring the operating parameter of the winch motor in real time, outputting real-time current of the winch motor according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model, and when the real-time current of the winch motor exceeds a preset current threshold, controlling the motor to stop. However, Lobo et al. is in the same field of art and teach: monitoring the operating parameter of the winch motor in real time, outputting real-time current of the winch motor according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model, and when the real-time current of the winch motor exceeds a preset current threshold, controlling the motor to stop (see paragraph 32 and figure 1). In view of Li et al.’s teachings, it would’ve been obvious to one with the ordinary skills in the art, before the effective filing date of the invention, with the apparatus as taught by Kulkarni et al. as modified to include; monitoring the operating parameter of the winch motor in real time, outputting real-time current of the winch motor according to the operating parameter of the winch motor using the flux linkage observer-based sensorless observer model and the motor model, and when the real-time current of the winch motor exceeds a preset current threshold, controlling the motor to stop., for the purpose of improving the accuracy of the motor drive system. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to ZOHEB S IMTIAZ whose telephone number is (571)272-4308. The examiner can normally be reached 11am-730pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Eduardo-Colon Santana can be reached at 571-272-2060. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /ZOHEB S IMTIAZ/Primary Examiner , Art Unit 2837
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Prosecution Timeline

Sep 18, 2024
Application Filed
Jul 13, 2026
Non-Final Rejection mailed — §103 (current)

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Prosecution Projections

1-2
Expected OA Rounds
81%
Grant Probability
95%
With Interview (+14.0%)
2y 6m (~7m remaining)
Median Time to Grant
Low
PTA Risk
Based on 478 resolved cases by this examiner. Grant probability derived from career allowance rate.

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