Prosecution Insights
Last updated: July 17, 2026
Application No. 18/967,737

SYSTEM AND METHOD FOR CONTROLLING DRIFT DRIVING OF ELECTRIC VEHICLE

Non-Final OA §102
Filed
Dec 04, 2024
Priority
Jul 05, 2024 — RE 10-2024-0088855
Examiner
SWEENEY, BRIAN P
Art Unit
3668
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Kia Corporation
OA Round
1 (Non-Final)
94%
Grant Probability
Favorable
1-2
OA Rounds
4m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 94% — above average
94%
Career Allowance Rate
731 granted / 782 resolved
+41.5% vs TC avg
Moderate +8% lift
Without
With
+7.5%
Interview Lift
resolved cases with interview
Fast prosecutor
1y 11m
Avg Prosecution
16 currently pending
Career history
795
Total Applications
across all art units

Statute-Specific Performance

§101
13.8%
-26.2% vs TC avg
§103
31.1%
-8.9% vs TC avg
§102
22.0%
-18.0% vs TC avg
§112
27.2%
-12.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 782 resolved cases

Office Action

§102
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 . DETAILED ACTION Status of the Claims This action is in response to applicant’s filing on December 04, 2024. Claims 1-20 are pending. Priority Receipt is acknowledged of certified copies of papers required by 37 CFR 1.55. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claim(s) 1 and 15 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by O’Rourke, US 2022/0203828 A1. Regarding claim 1, O’Rourke teaches a drive system torque control apparatus of an electric vehicle comprising: a controller configured to determine and generate torque commands to apply a driving torque to rear wheels to control the electric vehicle in a drift driving state, based on a demand torque for vehicle driving; (O’Rourke, see at least ¶ [0035] “Referring back to FIG. 1, the controller 40 is programmed to provide torque vectoring. Relevant controller inputs for torque vectoring may include yaw-rate, lateral acceleration, longitudinal acceleration, vehicle speed, accelerator-pedal position, brake-pedal position, driver demanded torque, torque available, steering wheel angle, coefficient of friction calculation and driver input based on paddle position or force, and the like.”) and a front wheel motor and a rear wheel motor each controlled based on the torque commands generated and output by the controller to output torques to drive the electric vehicle in the drift driving state, (O’Rourke, see at least ¶ [0041] “FIG. 5 illustrates the vehicle 60 during a left-hand turn. In this example, the driver has pulled the paddle 104 to request torque vectoring. In response, the controller 40 calculates a torque differential between the wheel 74 and 76 and between the wheels 78 and 80. In this example, the torque vectoring is aggressive resulting in regenerative braking being commanded to the motors 66 and 70 and a positive torque being commanded to the motors 68 and 72. In a less aggressive example, the motor 66 and 70 may coast or provide positive torque, albeit less than the motors 68 and 72. Torque vectoring does not have to occur at both the front and the rear axles. Depending on the desired vehicle characteristics and vehicle attributes, torque vectoring may occur only at the rear axle or only at the front axle. The inner wheels can also be braked using the friction brakes.”) wherein the controller: generates a rear wheel torque command having a torque value in a driving direction for drift driving of the electric vehicle based on the demand torque, and a front wheel torque command having a torque value in a regenerative braking direction opposite to the driving direction; (O’Rourke, see at least ¶ [0041] “FIG. 5 illustrates the vehicle 60 during a left-hand turn. In this example, the driver has pulled the paddle 104 to request torque vectoring. In response, the controller 40 calculates a torque differential between the wheel 74 and 76 and between the wheels 78 and 80. In this example, the torque vectoring is aggressive resulting in regenerative braking being commanded to the motors 66 and 70 and a positive torque being commanded to the motors 68 and 72. In a less aggressive example, the motor 66 and 70 may coast or provide positive torque, albeit less than the motors 68 and 72. Torque vectoring does not have to occur at both the front and the rear axles. Depending on the desired vehicle characteristics and vehicle attributes, torque vectoring may occur only at the rear axle or only at the front axle. The inner wheels can also be braked using the friction brakes.”) and controls the electric vehicle to drift via a regenerative braking torque applied by the front wheel motor and the driving torque applied by the rear wheel motor based on the generated front wheel torque command and rear wheel torque command. (O’Rourke, see at least ¶ [0036] “Typically, torque vectoring is controlled solely by the controller(s) of the vehicle and the driver is not permitted to request or deny torque vectoring. To increase driver involvement, the vehicle 20 is configured to enable the driver to manually control torque vectoring. The vehicle 20 may also be programmed to automatically control torque vectoring depending upon different operating modes of the vehicle or driver-selectable option. For example, the vehicle may include a normal driving mode in which torque vectoring is automatically controlled by the controller 40, and may include another driving mode, such as sport mode or track mode, in which the driver is able to manually control torque vectoring. The driver control of torque vectoring may be ON/OFF or may also include the amount (or aggressiveness) of the torque vectoring. That is, the driver may actuate an ON/OFF input that results in the vehicle activating the torque vectoring controls, or alternatively, the driver may actuate a variable input in which the torque vectoring controls increase or decrease the amount of torque differential based on the position of the variable input. The advent of electrified vehicles has reduced driver interaction, mostly through the elimination of the transmission, and providing manually controlled torque vectoring is one way to increase the driver interaction for electric vehicles. This may provide a more satisfying driving experience on the track or other closed course.”) Regarding claim 15, O’Rourke teaches a drive system torque control method of an electric vehicle comprising: determining and generating, by a controller, torque commands to apply a driving torque to rear wheels to control the electric vehicle in a drift driving state based on a demand torque for vehicle driving; (O’Rourke, see at least ¶ [0035] “Referring back to FIG. 1, the controller 40 is programmed to provide torque vectoring. Relevant controller inputs for torque vectoring may include yaw-rate, lateral acceleration, longitudinal acceleration, vehicle speed, accelerator-pedal position, brake-pedal position, driver demanded torque, torque available, steering wheel angle, coefficient of friction calculation and driver input based on paddle position or force, and the like.”) and controlling, by the controller, driving of a front wheel motor and a rear wheel motor to output torques to drive the electric vehicle in the drift driving state depending on the generated torque commands, (O’Rourke, see at least ¶ [0041] “FIG. 5 illustrates the vehicle 60 during a left-hand turn. In this example, the driver has pulled the paddle 104 to request torque vectoring. In response, the controller 40 calculates a torque differential between the wheel 74 and 76 and between the wheels 78 and 80. In this example, the torque vectoring is aggressive resulting in regenerative braking being commanded to the motors 66 and 70 and a positive torque being commanded to the motors 68 and 72. In a less aggressive example, the motor 66 and 70 may coast or provide positive torque, albeit less than the motors 68 and 72. Torque vectoring does not have to occur at both the front and the rear axles. Depending on the desired vehicle characteristics and vehicle attributes, torque vectoring may occur only at the rear axle or only at the front axle. The inner wheels can also be braked using the friction brakes.”) wherein the controller: generates a rear wheel torque command having a torque value in a driving direction for drift driving of the electric vehicle based on the demand torque, and a front wheel torque command having a torque value in a regenerative braking direction opposite to the driving direction; (O’Rourke, see at least ¶ [0041] “FIG. 5 illustrates the vehicle 60 during a left-hand turn. In this example, the driver has pulled the paddle 104 to request torque vectoring. In response, the controller 40 calculates a torque differential between the wheel 74 and 76 and between the wheels 78 and 80. In this example, the torque vectoring is aggressive resulting in regenerative braking being commanded to the motors 66 and 70 and a positive torque being commanded to the motors 68 and 72. In a less aggressive example, the motor 66 and 70 may coast or provide positive torque, albeit less than the motors 68 and 72. Torque vectoring does not have to occur at both the front and the rear axles. Depending on the desired vehicle characteristics and vehicle attributes, torque vectoring may occur only at the rear axle or only at the front axle. The inner wheels can also be braked using the friction brakes.”) and controls the electric vehicle to drift via a regenerative braking torque applied by the front wheel motor and the driving torque applied by the rear wheel motor based on the generated front wheel torque command and rear wheel torque command. (O’Rourke, see at least ¶ [0036] “Typically, torque vectoring is controlled solely by the controller(s) of the vehicle and the driver is not permitted to request or deny torque vectoring. To increase driver involvement, the vehicle 20 is configured to enable the driver to manually control torque vectoring. The vehicle 20 may also be programmed to automatically control torque vectoring depending upon different operating modes of the vehicle or driver-selectable option. For example, the vehicle may include a normal driving mode in which torque vectoring is automatically controlled by the controller 40, and may include another driving mode, such as sport mode or track mode, in which the driver is able to manually control torque vectoring. The driver control of torque vectoring may be ON/OFF or may also include the amount (or aggressiveness) of the torque vectoring. That is, the driver may actuate an ON/OFF input that results in the vehicle activating the torque vectoring controls, or alternatively, the driver may actuate a variable input in which the torque vectoring controls increase or decrease the amount of torque differential based on the position of the variable input. The advent of electrified vehicles has reduced driver interaction, mostly through the elimination of the transmission, and providing manually controlled torque vectoring is one way to increase the driver interaction for electric vehicles. This may provide a more satisfying driving experience on the track or other closed course.”) Allowable Subject Matter Claims 2-14 and 16-20 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to BRIAN P SWEENEY whose telephone number is (313)446-4906. The examiner can normally be reached on Monday-Thursday from 7:30AM to 5:00PM. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, James J. Lee, can be reached at telephone number 571-270-5965. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from Patent Center. Status information for published applications may be obtained from Patent Center. Status information for unpublished applications is available through Patent Center to authorized users only. Should you have questions about access to the USPTO patent electronic filing system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). Examiner interviews are available via a variety of formats. See MPEP § 713.01. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) Form at https://www.uspto.gov/InterviewPractice. /BRIAN P SWEENEY/ Primary Examiner, Art Unit 3668
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Prosecution Timeline

Dec 04, 2024
Application Filed
Apr 08, 2026
Non-Final Rejection mailed — §102 (current)

Precedent Cases

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
94%
Grant Probability
99%
With Interview (+7.5%)
1y 11m (~4m remaining)
Median Time to Grant
Low
PTA Risk
Based on 782 resolved cases by this examiner. Grant probability derived from career allowance rate.

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