Prosecution Insights
Last updated: October 02, 2026
Application No. 19/247,151

SYSTEM FOR ESTIMATING AND ADJUSTING VEHICLE ENERGY CONSUMPTION ON A ROAD SEGMENT BASED ON PREDICTED GENERAL WEATHER CONDITIONS

Non-Final OA §102
Filed
Jun 24, 2025
Priority
Jul 25, 2024 — EU 24190863.1
Examiner
TAN, OLIVER E
Art Unit
3669
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Volvo Group
OA Round
2 (Non-Final)
73%
Grant Probability
Favorable
2-3
OA Rounds
1y 5m
Est. Remaining
83%
With Interview

Examiner Intelligence

Grants 73% — above average
73%
Career Allowance Rate
90 granted / 123 resolved
+21.2% vs TC avg
Moderate +10% lift
Without
With
+10.1%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
38 currently pending
Career history
159
Total Applications
across all art units

Statute-Specific Performance

§101
11.2%
-28.8% vs TC avg
§103
55.6%
+15.6% vs TC avg
§102
15.0%
-25.0% vs TC avg
§112
16.7%
-23.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 123 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 . Information Disclosure Statement The information disclosure statement (IDS) submitted on 6/3/2026 is being considered by the examiner. Response to Amendment and Arguments The amendment filed 6/23/2026 has been entered. Claims 1-20 remain pending in the application. Applicant’s amendments to the claims have overcome the §112(b) rejection previously set forth in the Non-Final Office Action. Applicant's arguments have been fully considered but they are not persuasive. Applicant argues that Bhasme discloses using current weather conditions for assessing a current energy consumption and does not disclose "generate, based on forecasted general weather conditions, a first vehicle-weather resistance parameter for a first road segment of a travel route of a vehicle at a first predicted travel time". Examiner respectfully disagrees. Bhasme (abstract) predicts an energy profile over a selection horizon using first and second parameter values. FIG. 6 provides for predicted environmental models, further described in [0285] used to determine estimated values to estimate a current or future value [0244] at a first predicted travel time (Bhasme [0107], [0024]: “external or internal condition may be predicted by applying one or more models to the sensor data and/or the other data”). The “energy application” sends data to the master controller (Bhasme [0040]) to be further used to estimate the weather resistance parameters (Bhasme [0285], [0244], [0038]) which feeds into the estimation models (rolling coefficient, [0266]). The independent claim is not specific about the forecasting/predicting of the weather conditions being done internally or externally of the system for which Bhasme provides both ([0027]). Due to the breadth of the independent claim(s), as written, the Examiner maintains that Bhasme generates a vehicle-weather resistance parameter (at least rolling resistance) based on forecasted (predicted) weather conditions. Claim Rejections - 35 USC § 102 The text of those sections of Title 35, U.S. Code not included in this action can be found in a prior Office action. Claim(s) 1-20 is/are rejected under 35 U.S.C. 102(a)(1)&(a)(2) as being anticipated by US20230139003A1 (“Bhasme”). As per claims 1, 19, and 20 Bhasme teaches the limitations of the system, method, and vehicle: A computer system comprising processing circuitry configured to: generate, based on forecasted general weather conditions (Bhasme at least the abstract, FIG. 6, [0285], [0244]), a first vehicle-weather resistance parameter for a first road segment of a travel route of a vehicle at a first predicted travel time (Bhasme at least [0107], [0024], [0285]); estimate a first segment energy consumption for the vehicle to travel the first road segment at the first predicted travel time based on the first vehicle-weather resistance parameter (Bhasme at least [0266]); determine a first segment energy deficit for the vehicle to travel the first road segment based on the first segment energy consumption and a first stored energy level of the vehicle; and adjust operation of electrical components of the vehicle to reduce the first segment energy deficit. (Bhasme at least the abstract, [0038-0039], [0045-0047], [0065], [0220-0226]) Claim 2: estimate the first segment energy consumption of the vehicle on the first road segment based on a predicted travel speed of the vehicle on the first road segment; and adjust operation of the electrical components of the vehicle, further comprising reducing an actual travel speed of the vehicle on the first road segment to less than the predicted travel speed. (Bhasme at least FIG. 4b-4c, [0220-0226], [0135]) Claim 3: determine the predicted travel speed based on one of a current speed of the vehicle and a posted speed limit for the first road segment. (Bhasme at least [0065], [0113], [0135]) Claim 4: estimate the first vehicle-weather resistance parameter for the first road segment based on a function of the forecasted general weather conditions on the first road segment for a predicted travel time. (Bhasme at least [0038], [0046]., [0053], [0067]) Claim 5: estimate the first vehicle-weather resistance parameter for the first road segment based on a function of predicted traffic conditions on the first road segment for a predicted travel time. (Bhasme at least [0038], [0053]) Claim 6: estimate the first segment energy consumption of the vehicle to travel the first road segment based on a vehicle type. (Bhasme at least [0070]) Claim 7: the vehicle type comprises one of a truck, a bus, and a passenger car. (Bhasme at least [0132]: “an indication of load weight (e.g., number of passengers)”) Claim 8: the travel route comprises at least a second road segment between a current location of the vehicle and the first road segment; and the predicted travel time on the first road segment is based on a current time and a predicted travel time on the at least a second road segment. (Bhasme at least [0114]) Claim 9: generate, based on the forecasted general weather conditions, a second vehicle-weather resistance parameter for the at least a second road segment at a second predicted travel time; estimate a second segment energy consumption for the vehicle to travel the at least a second road segment at the second predicted travel time based on the second vehicle-weather resistance parameter; determine a second segment energy deficit for the vehicle to travel the at least a second road segment based on the second segment energy consumption and a second stored energy level of the vehicle; and adjust operation of the electrical components of the vehicle to reduce the second segment energy deficit. (Bhasme at least [0114-0115], abstract, [0038-0039], [0045-0047], [0065], [0220-0226]) Claim 10: an electronic control unit (ECU) disposed in the vehicle. (Bhasme at least [0034], [0038], FIG. 7) Claim 11: the ECU disposed in the vehicle is configured to estimate the first segment energy consumption. (Bhasme at least [0034], [0038], FIG. 7) Claim 12: a server configured to couple to the vehicle through a wireless interface. (Bhasme at least [0036], [0047], [0041) Claim 13: generating the first vehicle- weather resistance parameter for the first road segment based on a first function derived from vehicle data provided by vehicles that travel the first road segment and generalized weather conditions at times corresponding to the vehicle data. (Bhasme at least [0041]) Claim 14: dynamically update the first function based on updated vehicle data. (Bhasme at least [0023], [0048], [0050], [0060-0062]) Claim 15: the electrical components of the vehicle comprise first electrical components directed to one or more of lighting, safety, automation, convenience, passenger comfort, and passenger entertainment; the estimate of the first segment energy consumption of the vehicle is based on a predicted energy consumption of the first electrical components; and adjusting energy consumption of the electrical components of the vehicle further comprises reducing a rate of energy consumption of at least one of the first electrical components. (Bhasme at least [0029], [0134], [0232]) Claim 16: the predicted energy consumption of the first electrical components is based on a current driver of the vehicle. (Bhasme at least [0232], [0254]) Claim 17: update the first function in response to receiving newer vehicle data provided by vehicles that travel the first road segment and corresponding general weather conditions. (Bhasme at least [0041], [0247]) Claim 18: the first vehicle-weather resistance parameter is based on a combination of air resistance and rolling resistance caused by the forecasted general weather conditions. (Bhasme at least [0067], [0266], [0050-0051]) Conclusion THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to OLIVER TAN whose telephone number is (703)756-4728. The examiner can normally be reached M-F 10-7. 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, Navid Mehdizadeh can be reached at (571) 272-7691. 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. /O.T./Examiner, Art Unit 3669 /TODD MELTON/Primary Examiner, Art Unit 3669
Read full office action

Prosecution Timeline

Show 1 earlier event
May 27, 2026
Non-Final Rejection mailed — §102
Jun 11, 2026
Applicant Interview (Telephonic)
Jun 11, 2026
Examiner Interview Summary
Jun 23, 2026
Response Filed
Aug 04, 2026
Final Rejection mailed — §102
Sep 03, 2026
Examiner Interview Summary
Sep 03, 2026
Applicant Interview (Telephonic)
Sep 08, 2026
Response after Non-Final Action

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

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Prosecution Projections

2-3
Expected OA Rounds
73%
Grant Probability
83%
With Interview (+10.1%)
2y 8m (~1y 5m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 123 resolved cases by this examiner. Grant probability derived from career allowance rate.

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