Prosecution Insights
Last updated: April 19, 2026
Application No. 18/178,548

SYSTEM, COMPUTER-READABLE STORAGE MEDIUM, AND METHOD

Non-Final OA §102§103
Filed
Mar 06, 2023
Examiner
KOUSAR, SADIA
Art Unit
2859
Tech Center
2800 — Semiconductors & Electrical Systems
Assignee
Honda Motor Co. Ltd.
OA Round
1 (Non-Final)
63%
Grant Probability
Moderate
1-2
OA Rounds
3y 1m
To Grant
73%
With Interview

Examiner Intelligence

Grants 63% of resolved cases
63%
Career Allow Rate
69 granted / 109 resolved
-4.7% vs TC avg
Moderate +9% lift
Without
With
+9.4%
Interview Lift
resolved cases with interview
Typical timeline
3y 1m
Avg Prosecution
46 currently pending
Career history
155
Total Applications
across all art units

Statute-Specific Performance

§101
2.7%
-37.3% vs TC avg
§103
55.9%
+15.9% vs TC avg
§102
30.1%
-9.9% vs TC avg
§112
9.6%
-30.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 109 resolved cases

Office Action

§102 §103
DETAILED ACTION 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 § 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)(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. Claim(s) 1-7, 9, 11-20 is/are rejected under 35 U.S.C. 102(a)(1) as being unpatentable by Burchardt (US 2022/0149630), the rejection is relied on a similar disclosure as disclosed in (WO2021019444) with publication date: 2021-02-04. Regarding claim 1, Burchardt discloses a system (fig. 1) configured to control a station that is configured to charge and discharge a plurality of movable batteries (switching, by the central controller, the first subset of the plurality of electric vehicle batteries from a charging state to a discharging state; and switching, by the central controller, the second subset of the plurality of electric vehicle batteries from a discharging state to a charging state, paragraph [0020]the central controller can control the charging and discharging of the batteries 135, fig. 1), the system comprising: a classification unit configured to divide the plurality of movable batteries that are connected to the station, into a plurality of groups based on respective charging rates of the plurality of movable batteries (The central controller 137 may divide all the batteries 133 within the storage unit 135 into multiple groups or subsets such that each battery 133 is included within an allocated group and wherein each group or subset is allocated by the controller 137 for a particular use. In various embodiments, the central controller 137 may divide the batteries 133 based on a power need, load demand the received performance metrics, and/or the operational status associated with each battery 133. In various embodiments, the central controller 137 may divide the batteries 133 based on a threshold associated with at least one of the operational status and performance metrics, paragraph [0059] where the operational status includes whether the battery is charging and its charging rate); and a control unit configured to control ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, based on a prediction of use in the station (the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the number of the batteries in fig. 2 in group 1 is smaller because of low energy production in the evening; the algorithms may calculate and/or predict a best use and/or battery allocation within the ESS based on a time of day, weather condition, use application, etc, paragraph [0068]). Regarding claim 2, Burchardt further discloses wherein when some movable batteries among the plurality of movable batteries are predicted to be used, the control unit is configured to cause a movable battery, among the plurality of movable batteries, belonging to a group that has a charging rate that can be charged to a predetermined value or higher by a predicted time of use to be charged, and to be transferred to another group that has a higher charging rate (the controller 219 may allocate the batteries 217 within the ESS 215 to support one or more use applications. The central controller 219 may cause groups 250 and 240 to switch such that group 250 may go into a charge mode and group 240 may go into a discharge mode. the algorithms may calculate and/or predict a best use and/or battery allocation within the ESS based on a time of day, weather condition, use application, etc. paragraph [0062]-[0063], [0068]Note: the higher charging rate batteries are used to discharge to get the required amount of the power from the charging station 215). Regarding claim 3, Burchardt further discloses wherein the control unit is configured to cause a movable battery, among the plurality of movable batteries, belonging to a group whose charging rate is lower than a predetermined value, in response to a request to increase an amount of power consumption in the station to be charged, and to be transferred to another group that has a higher charging rate (when a capacity or charge level of the group 250 falls beneath a threshold value (e.g., determined by user or controller 219), the central controller 219 may cause groups 250 and 240 to switch such that group 250 may go into a charge mode and group 240 may go into a discharge mode, paragraph [0063]; the central controller may include software stored thereon that monitors production and consumption of energy by the ESS to determine and contribute to a balance of plant, paragraph [0056]). Regarding claim 4, Burchardt further discloses wherein the control unit is configured to cause a movable battery, among the plurality of movable batteries, belonging to a group whose charging rate is higher than a predetermined value to be discharged within a range in which the prediction of use is satisfied (with the high production of solar energy, the first group 250 is allocated for storage produced solar energy (via DC connection 210) and the second group 235 is allocated for delivery of stored energy (via DC connection 255) to the power converter 260. From the bidirectional power converter 260, AC energy may then be delivered to the building 280 (via AC connection 270) to meet its energy demands and any surplus energy may be delivered to the grid 275 (via AC connection 265), paragraph [0062]), in response to a request to decrease an amount of power consumption in the station, and to be transferred to another group that has a lower charging rate (the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the batteries can be transferred to the other group in response to decrease in power consumption during evening time when the renewable power source is not present). Regarding claim 5, Burchardt further discloses wherein the control unit is configured to predict a request to increase or decrease an amount of power consumption in the station, and control, based on the prediction, ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, within a range in which the prediction of use is satisfied (paragraph [0062]-[0064], [0068]). Regarding claim 6, Burchardt further discloses wherein the control unit is configured to maintain, when a request to decrease an amount of power consumption is predicted in the station, ratios or a number of movable batteries belonging to a group whose charging rate is higher than a predetermined value, at a predetermined value or higher (figs 2 and 3; paragraph [0062]-[0064] shows the day (decrease power demand predicted) and evening (high power consumption demand predicted) and different grouping of the batteries according to prediction). Regarding claim 7, Burchardt further discloses wherein the control unit is configured to maintain, when a request to increase an amount of power consumption is predicted in the station, ratios or a number of movable batteries belonging to a group whose charging rate is lower than a predetermined value, at a predetermined value or higher figs 2 and 3; paragraph [0062]-[0064] shows the day (decrease power demand predicted) and evening (high power consumption demand predicted) and different grouping of the batteries according to prediction). Regarding claim 9, Burchardt discloses the system of claim 1. Burchardt further discloses wherein the plurality of movable batteries include a battery that is to be mounted on a vehicle (paragraph [0007]; the battery can be mounted on the vehicle again). Regarding claim 11, Burchardt discloses the system of claim 2. Burchardt further discloses wherein the control unit is configured to cause a movable battery, among the plurality of movable batteries, belonging to a group whose charging rate is lower than a predetermined value, in response to a request to increase an amount of power consumption in the station to be charged, and to be transferred to another group that has a higher charging rate(when a capacity or charge level of the group 250 falls beneath a threshold value (e.g., determined by user or controller 219), the central controller 219 may cause groups 250 and 240 to switch such that group 250 may go into a charge mode and group 240 may go into a discharge mode, paragraph [0063]; the central controller may include software stored thereon that monitors production and consumption of energy by the ESS to determine and contribute to a balance of plant, paragraph [0056]). Regarding claim 12, Burchardt discloses the system of claim 2. Burchardt further discloses wherein the control unit is configured to cause a movable battery, among the plurality of movable batteries, belonging to a group whose charging rate is higher than a predetermined value to be discharged within a range in which the prediction of use is satisfied(with the high production of solar energy, the first group 250 is allocated for storage produced solar energy (via DC connection 210) and the second group 235 is allocated for delivery of stored energy (via DC connection 255) to the power converter 260. From the bidirectional power converter 260, AC energy may then be delivered to the building 280 (via AC connection 270) to meet its energy demands and any surplus energy may be delivered to the grid 275 (via AC connection 265), paragraph [0062]), in response to a request to decrease an amount of power consumption in the station, and to be transferred to another group that has a lower charging rate(the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the batteries can be transferred to the other group in response to decrease in power consumption during evening time when the renewable power source is not present). Regarding claim 13, Burchardt discloses the system of claim 3. Burchardt further discloses wherein the control unit is configured to cause a movable battery, among the plurality of movable batteries, belonging to a group whose charging rate is higher than a predetermined value to be discharged within a range in which the prediction of use is satisfied(with the high production of solar energy, the first group 250 is allocated for storage produced solar energy (via DC connection 210) and the second group 235 is allocated for delivery of stored energy (via DC connection 255) to the power converter 260. From the bidirectional power converter 260, AC energy may then be delivered to the building 280 (via AC connection 270) to meet its energy demands and any surplus energy may be delivered to the grid 275 (via AC connection 265), paragraph [0062]), in response to a request to decrease an amount of power consumption in the station, and to be transferred to another group that has a lower charging rate(the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the batteries can be transferred to the other group in response to decrease in power consumption during evening time when the renewable power source is not present). Regarding claim 14, Burchardt discloses the system of claim 2. Burchardt further discloses wherein the control unit is configured to predict a request to increase or decrease an amount of power consumption in the station, and control, based on the prediction, ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, within a range in which the prediction of use is satisfied(paragraph [0062]-[0064], [0068]). Regarding claim 15, Burchardt discloses the system of claim 3. Burchardt further discloses wherein the control unit is configured to predict a request to increase or decrease an amount of power consumption in the station, and control, based on the prediction, ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, within a range in which the prediction of use is satisfied(paragraph [0062]-[0064], [0068]). Regarding claim 16, Burchardt discloses the system of claim 4. Burchardt further discloses wherein the control unit is configured to predict a request to increase or decrease an amount of power consumption in the station, and control, based on the prediction, ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, within a range in which the prediction of use is satisfied(paragraph [0062]-[0064], [0068]). Regarding claim 17, Burchardt discloses the system of claim 2. Burchardt further discloses wherein the control unit is configured to maintain, when a request to decrease an amount of power consumption is predicted in the station, ratios or a number of movable batteries belonging to a group whose charging rate is higher than a predetermined value, at a predetermined value or higher (figs 2 and 3; paragraph [0062]-[0064] shows the day (decrease power demand predicted) and evening (high power consumption demand predicted) and different grouping of the batteries according to prediction). Regarding claim 18, Burchardt discloses the system of claim 2. Burchardt further discloses wherein the control unit is configured to maintain, when a request to increase an amount of power consumption is predicted in the station, ratios or a number of movable batteries belonging to a group whose charging rate is lower than a predetermined value, at a predetermined value or higher (figs 2 and 3; paragraph [0062]-[0064] shows the day (decrease power demand predicted) and evening (high power consumption demand predicted) and different grouping of the batteries according to prediction). Regarding claim 19, Burchardt discloses a non-transitory computer-readable recording medium having stored thereon a program, wherein the program is configured to cause a computer to function as a system (the central controller 137 may include software in the form of non-transitory computer readable instructions stored thereon, paragraph [0059]) configured to control a station that is configured to charge and discharge a plurality of movable batteries (switching, by the central controller, the first subset of the plurality of electric vehicle batteries from a charging state to a discharging state; and switching, by the central controller, the second subset of the plurality of electric vehicle batteries from a discharging state to a charging state, paragraph [0020]the central controller can control the charging and discharging of the batteries 135, fig. 1), the system comprising: a classification unit configured to divide the plurality of movable batteries that are connected to the station, into a plurality of groups based on respective charging rates of the plurality of movable batteries(The central controller 137 may divide all the batteries 133 within the storage unit 135 into multiple groups or subsets such that each battery 133 is included within an allocated group and wherein each group or subset is allocated by the controller 137 for a particular use. In various embodiments, the central controller 137 may divide the batteries 133 based on a power need, load demand the received performance metrics, and/or the operational status associated with each battery 133. In various embodiments, the central controller 137 may divide the batteries 133 based on a threshold associated with at least one of the operational status and performance metrics, paragraph [0059] where the operational status includes whether the battery is charging and its charging rate); and a control unit configured to control ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, based on a prediction of use in the station (the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the number of the batteries in fig. 2 in group 1 is smaller because of low energy production in the evening; the algorithms may calculate and/or predict a best use and/or battery allocation within the ESS based on a time of day, weather condition, use application, etc, paragraph [0068]). Regarding claim 20, Burchardt discloses a method for controlling a station that is configured to charge and discharge a plurality of movable batteries(switching, by the central controller, the first subset of the plurality of electric vehicle batteries from a charging state to a discharging state; and switching, by the central controller, the second subset of the plurality of electric vehicle batteries from a discharging state to a charging state, paragraph [0020]the central controller can control the charging and discharging of the batteries 135, fig. 1), the method comprising: dividing the plurality of movable batteries that are connected to the station, into a plurality of groups based on respective charging rates of the plurality of movable batteries(The central controller 137 may divide all the batteries 133 within the storage unit 135 into multiple groups or subsets such that each battery 133 is included within an allocated group and wherein each group or subset is allocated by the controller 137 for a particular use. In various embodiments, the central controller 137 may divide the batteries 133 based on a power need, load demand the received performance metrics, and/or the operational status associated with each battery 133. In various embodiments, the central controller 137 may divide the batteries 133 based on a threshold associated with at least one of the operational status and performance metrics, paragraph [0059] where the operational status includes whether the battery is charging and its charging rate); and controlling ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, based on a prediction of use in the station(the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the number of the batteries in fig. 2 in group 1 is smaller because of low energy production in the evening; the algorithms may calculate and/or predict a best use and/or battery allocation within the ESS based on a time of day, weather condition, use application, etc, paragraph [0068]). Claim Rejections - 35 USC § 103 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 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. Claim(s) 8, 10 is/are rejected under 35 U.S.C. 103 as being unpatentable over Burchardt (US 2022/0149630), as applied to claim 1 above, and further in view of Lai et al. (US 2019/0202416), herein after Lai. Regarding claim 8, Burchardt discloses a system (fig. 1) being configured to control a station that is configured to charge and discharge a plurality of movable batteries (switching, by the central controller, the first subset of the plurality of electric vehicle batteries from a charging state to a discharging state; and switching, by the central controller, the second subset of the plurality of electric vehicle batteries from a discharging state to a charging state, paragraph [0020]the central controller can control the charging and discharging of the batteries 135, fig. 1), the system comprising: a classification unit configured to divide the plurality of movable batteries that are connected to the station, into a plurality of groups based on respective charging rates of the plurality of movable batteries (The central controller 137 may divide all the batteries 133 within the storage unit 135 into multiple groups or subsets such that each battery 133 is included within an allocated group and wherein each group or subset is allocated by the controller 137 for a particular use. In various embodiments, the central controller 137 may divide the batteries 133 based on a power need, load demand the received performance metrics, and/or the operational status associated with each battery 133. In various embodiments, the central controller 137 may divide the batteries 133 based on a threshold associated with at least one of the operational status and performance metrics, paragraph [0059] where the operational status includes whether the battery is charging and its charging rate); and a control unit configured to control ratios or a number of movable batteries belonging to each of the plurality of groups in each time window, based on a prediction of use in the station (the central controller 319 may allocate a first group 325 (“EV1-EV8”) to be charged from the renewable energy source 305, wherein a size (i.e., number of batteries 317 contained therein) of the first group 325 may be smaller than a corresponding size of group 225 (as shown in FIG. 2), paragraph [0064] the number of the batteries in fig. 2 in group 1 is smaller because of low energy production in the evening; the algorithms may calculate and/or predict a best use and/or battery allocation within the ESS based on a time of day, weather condition, use application, etc, paragraph [0068]). However, Burchardt is silent the system include the plurality of charging stations. Lai discloses the system (fig. 4) being configured to control a plurality of stations that are configured to charge and discharge the plurality of movable batteries (the system 400 includes a server 403 (e.g., the server system 200 mentioned above) and multiple battery-exchange stations 405 (shown as stations 405A1-A3 in Group A and stations 405B1-B2 in Group B). The stations can be grouped based on other factors such as similarity of predicted battery demands, paragraph [0079]), Lai further discloses the server determines different battery management plan for the batteries of the plurality of charging stations (paragraph [0079], [0037]-[0038]). It would have been obvious to one of the ordinary skills in the art, before the effective filing date of the claimed invention to modify Burchardt’s controller to include the instruction to control the plurality of charging stations with the moveable batteries as taught by Lai, in order to have the coordinated power distribution across the charging stations to prevent overload of a power sources, and load balancing to reduce peak demand. Regarding claim 10, Burchardt discloses the system of claim 9. However, Burchardt is silent about wherein the plurality of movable batteries include a battery that is to be mounted on a vehicle, which is replaceable at the plurality of stations. Lai discloses wherein the plurality of movable batteries include a battery that is to be mounted on a vehicle, which is replaceable at the plurality of stations (paragraph [0002]). It would have been obvious to one of the ordinary skills in the art, before the effective filing date of the claimed invention to modify Burchardt’s controller to include the instruction to control the plurality of charging stations with the moveable batteries as taught by Lai, in order to have the coordinated power distribution across the charging stations to prevent overload of a power sources, and load balancing to reduce peak demand. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to SADIA KOUSAR whose telephone number is (571)272-3386. The examiner can normally be reached M-Th 7:30am-5:30pm. 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, Julian Huffman can be reached at (571) 272-2147. 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. SADIA . KOUSAR Examiner Art Unit 2859 /JULIAN D HUFFMAN/ Supervisory Patent Examiner, Art Unit 2859
Read full office action

Prosecution Timeline

Mar 06, 2023
Application Filed
Feb 13, 2026
Non-Final Rejection — §102, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12580391
SYSTEM FOR CHARGING VEHICLE BATTERY USING MOTOR DRIVING SYSTEM
2y 5m to grant Granted Mar 17, 2026
Patent 12573859
Battery Pack, System, Operation Status Transmission Method And Program
2y 5m to grant Granted Mar 10, 2026
Patent 12556011
CHARGING PILE WITH PERMANENTLY-HORIZONTAL CHARGING BLOCK AND CHARGING DEVICE HAVING THE SAME
2y 5m to grant Granted Feb 17, 2026
Patent 12549025
BATTERY CONFIGURATION FOR GAS ENGINE REPLACEMENT DEVICE
2y 5m to grant Granted Feb 10, 2026
Patent 12515544
LIGHT PIPE APPARATUS AND ASSOCIATED ELECTRONIC DEVICE
2y 5m to grant Granted Jan 06, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
63%
Grant Probability
73%
With Interview (+9.4%)
3y 1m
Median Time to Grant
Low
PTA Risk
Based on 109 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month