Prosecution Insights
Last updated: April 19, 2026
Application No. 18/853,155

METHOD AND SYSTEM FOR CONTROLLING AN ELECTRICALLY POWERED HEAVY COMMERCIAL VEHICLE

Non-Final OA §102
Filed
Oct 01, 2024
Examiner
ANWARI, MACEEH
Art Unit
3663
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Volvo Truck Corporation
OA Round
1 (Non-Final)
81%
Grant Probability
Favorable
1-2
OA Rounds
3y 4m
To Grant
86%
With Interview

Examiner Intelligence

Grants 81% — above average
81%
Career Allow Rate
659 granted / 813 resolved
+29.1% vs TC avg
Moderate +5% lift
Without
With
+5.1%
Interview Lift
resolved cases with interview
Typical timeline
3y 4m
Avg Prosecution
38 currently pending
Career history
851
Total Applications
across all art units

Statute-Specific Performance

§101
15.7%
-24.3% vs TC avg
§103
40.2%
+0.2% vs TC avg
§102
27.3%
-12.7% vs TC avg
§112
15.2%
-24.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 813 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 This action is in response to communications filed on 10/1/2024. Claims 1-10 and 12-13 have been preliminarily amended, claim 11 has been preliminarily cancelled and claim 14 has been newly added. Accordingly, claims 1-10 & 12-14 are pending. Claim Objections Claims 13 & 14 are objected to because of the following informalities: the claim is an independent claim written in dependent format. Appropriate correction is required. Claim Rejections - 35 USC § 102 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)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1- 14 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Janardhanan et al. Janardhanan discloses: 1: A method of controlling a motion support system in a heavy commercial vehicle, the method comprising: repeatedly selecting a current drive mode from a plurality of predefined drive modes (see Janardhanan at least II. Cruise and Startability Electric Axle Concept: cruise mode, startability mode, power mode); solving a quadratic programming, (QP) problem related to optimal control of independently controlled actuators in the motion support system in accordance with a current state of the vehicle and subject to constraints representing actuator limits, wherein the independently controlled actuators include at least two electric motors at respective axles and a set of service brakes (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept: motion prediction and coordination); and utilizing a solution of the QP problem for controlling the motion support system (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept: motion prediction and coordination); wherein the predefined drive modes include: a first drive mode, in which the QP problem represents a control allocation problem for the motion support system and the QP problem is independent of power loss (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept: motion prediction and coordination); and a second drive mode, in which the QP problem represents minimal power loss in the motion support system (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept: motion prediction and coordination). 2: wherein the constraints representing actuator limits are variable in accordance with the current state of the vehicle (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 3: wherein the QP problem in the second drive mode includes relationships between power loss and torque for at least two of the actuators (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 4: wherein the QP problem in the second drive mode includes relationships between power loss and torque for at least one of the actuators in quadratic form and for at least another one of the actuators in linear form (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 5: wherein the relationships between power loss and torque are smooth approximations of measurements or simulations (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 6: wherein the QP problem relates to optimal control of independently controlled actuators which two independent electric motors include an electric motor arranged as a cruise actuator and a further electric motor arranged as a startability actuator (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 7: wherein the QP problem relates to optimal control of independently controlled actuators which include one type of independent electric motors arranged on include an electric drive axle with cruise actuators and a further type of independent electric motors arranged on an electric axle with startability actuators (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation, table 1). 8: wherein the cruise actuators and startability actuators differ with respect to gear ratio (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation, table 1). 9: wherein the QP problem relates to optimal control of actuators in a motion support system which has an electric propulsion power of at most 20 kW/ton, such as at most 10 kW/ton, such as at most 5 kW/ton (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation, table 1). 10: wherein the QP problem relates to optimal control of actuators in a motion support system which is operable to provide a decelerating force of at least 3 kN/ton, such as at least 4 kN/ton, such as at least 5 kN/ton (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation, table 1). 12: A controller configured to control a motion support system in a heavy commercial vehicle, the controller comprising: an input interface configured to receive data indicative of a current vehicle state; processing circuitry configured to perform the method of any of the preceding claims; and an output interface configured to feed control signals to the motion support system (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 13: A computer program comprising instructions to cause a controller of claim 12 to execute the method of claim 1; wherein the controller is configured to control a motion support system in a heavy commercial vehicle (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). 14: A heavy commercial vehicle comprising a motion support system and the controller of claim 12 (see Janardhanan at least fig. 1-12 & II. Cruise and Startability Electric Axle Concept, modeling and simulation). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to MACEEH ANWARI whose telephone number is 571-272-7591. The examiner can normally be reached on 9-9:30. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Angela Ortiz can be reached on 571-272-1206. 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 the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. MACEEH . ANWARI Primary Examiner Art Unit 3663 /MACEEH ANWARI/ Primary Examiner, Art Unit 3663
Read full office action

Prosecution Timeline

Oct 01, 2024
Application Filed
Dec 05, 2025
Non-Final Rejection — §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
81%
Grant Probability
86%
With Interview (+5.1%)
3y 4m
Median Time to Grant
Low
PTA Risk
Based on 813 resolved cases by this examiner. Grant probability derived from career allow rate.

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