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 .
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 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.
DETAILED ACTION
Claims status
Claims 1-2 pending as the applicant filed on 06/24/2023.
Claim Rejections - 35 USC § 112
2. The following is a quotation of 35 U.S.C. 112(b):
(b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph:
The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention.
Claims 1-2 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention.
Regarding claims 1-2, the terms “loss of new energy” “initial charge” “initial electric quantity” “full charge” “battery loss degree” are vague and a relative term that renders the claim indefinite. The terms “loss of new energy” “initial charge” “initial electric quantity” “full charge” “battery loss degree” are not defined by the claim, the specification does not provide a standard for ascertaining the requisite degree, and one of ordinary skill in the art would not be reasonably appraised of the scope of the invention. An artisan doing measuring and testing would not know at what point “loss of new energy” “initial charge” “initial electric quantity” “full charge” “battery loss degree” within the scope of the claim had been accomplished because nothing within the disclosure establishes when a sufficient “loss of new energy” “initial charge” “initial electric quantity” “full charge” “battery loss degree” occur.
Note: In view of the PTO compact prosecution, the Examiner notes that due to the indefiniteness issues described above all consideration of the merits of the claims in view of prior art is as best understood.
Citation of Relevant Prior Art
The prior art made of record and not relied upon is considered pertinent to applicant’s disclosure. See MPEP 707.05. Although the prior art discloses several unclaimed, some claimed limitation. The closest Prior Art of record are considered to be defined by:
Zhang, CN 102938094 B, Date Published: 2015-11-25, CPC Y04S 50/14 described an electric automobile charging timing determining involved in modulating service with the service vehicle selection method, comprising: the charging device input price information and vehicle information; according to the initial level. target power level and maximum average charging rate to obtain the desired charging time; according to the access time and leaving time, obtaining the automobile parking time and possible charging time; according to the calculated profit formula under each charging time of the vehicle, determining a benefit maximum charging time sequence; when the vehicle response scheduling instruction, determining the charging time, charging the charging vehicle to evaluate, selecting service vehicle from small to large according to the evaluation index. Embodiments of the present invention effectively improves the charging efficiency of the vehicle and reduce the distribution load difference and increasing the service capacity modulation.
Yang, CN 105719030 A, Date Published: 2016-06-29, CPC G06Q 10/04 described the electric power system technology area, specifically relates to an electric motor vehicle load prediction method based on efficiency maximum principle. First, based on travel chain establishing space distribution model of vehicle electric motor car, electric motor car vehicle analysis initial set up time, travel destination, travel distance, equal time information to obtain the vehicle electric motor car charging space distribution. Then based on maximum principle utility selection user most advantageous to the charging station for charging, at last given time and space distribution of electric motor car vehicle charging load. The invention before scholar for electric motor car based on vehicle load prediction only from limited time and are layer layer, one of utility based on maximum principle of electric motor car vehicle load prediction method, can load prediction for refining to charging.
Yuan, CN 106407726 A, Date Published: 2017-02-15, CPC G16Z 99/00 described a meter and the tide influence of electric automobile charging electrical access point selection method. First, actual data according to the electric vehicle travel data fitting result, obtaining the initial charge state and the initial charging time distribution characteristics, and thereby establishing a probability model of electric vehicle charging load and using Monte Carlo sampling algorithm, and adopts SHENZHEN electric taxi as the verification of the method. after comprehensive index to the node voltage deviation percentage and the branch active power dissipation increment percentage based, constructing the evaluation station distribution system flow influence, and provides the determined charging method for optimal electrical access point.
Zhang, CN 110061531 A, Date Published: 2019-07-26, CPC H02J 7/0014 described a balancing method of the energy storage battery. setting by the monomer battery are connected in series to form a battery pack, for only the charge state of the battery group is not higher than the preset first threshold value only when the open-circuit voltage according to the collected open circuit voltage to the state-of-charge, thereby capturing battery pack in each single battery of each charge state. and then comparing the state of charge difference between each single battery; The monomer battery performs equalization during prediction adopts the balance current value, calculating the balance time of each single battery in the equalizing stage needs; performing equalization measures for each single battery so as to ensure the voltage deviation between each single battery is kept within a desired range, ensure the power supply of the battery pack with the balance and continuity.
Yang, CN 111665451 A, Date Published: 2020-09-15, CPC G06F 30/20 described a lithium ion battery aging test method under time-varying cycle condition, using the time-varying cycle working condition for aging test of the battery, and according to the test data, performing full life simulation of the battery, analyzing the aging mechanism and performance attenuation rule of the battery under the time-varying cycle condition, and according to different types of charging and discharging cycle working condition, researching aging process of different types of battery in different cycle conditions, aging rule research of different types of battery in different cycle conditions, providing theoretical support for better using battery of the electric vehicle.
Yue, CN 112633571 A, Date Published: 2021-04-09, G06N 3/044 described an ultra-short term load prediction method based on LSTM under source network load interaction environment, based on interaction characteristics of the three under the source network load interaction environment, building a source-network-load interaction total frame, at the same time, aiming at resource classification and response characteristics of the flexible load under the source network load interaction environment; It fully considers the response cost and the user satisfaction to model the response characteristic of the flexible load. establishing the model system, providing an evaluation method of response ability under source network load interaction environment, on the basis of solving the load-adjustable potential, based on long-term memory network LSTM is more suitable for ultra-short term prediction characteristic; The invention claims an ultra-short term load prediction method based on LSTM source network load interaction environment. providing effective prediction reference for the formulation of collaborative optimization scheduling scheme under source network load interaction environment.
Claim Rejections - 35 USC § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claims 1-2 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more.
Claim 1, Step 1 the claim is a process (or machine) (Yes),
Step 2A Prong One, does the claim recite an abstract idea? current claim related a method for evaluating the battery loss of a new energy vehicle, the method comprising: Step 1: acquiring factory data of a vehicle, the initial charge electric quantity of the vehicle and the duration for full charge of the vehicle;
Step 2: according to the factory data of the vehicle, setting the initial electric quantity of the vehicle as X%, dividing the initial electric quantity into a plurality of electric quantity levels with the increment being Y%, and calculating a theoretical duration T1 for full charge of the vehicle at each of the electric quantity levels, wherein 0 < X < 100, and 0 <Y < 100; and calculating an actual duration T2 for full charge of the vehicle under equal charge conditions at each of the electric quantity levels, calculating a difference value T3 = T2 - T1 at each of the electric quantity levels according to the theoretical duration T1 and the actual duration T2, and calculating a duration difference mean value T4 of the difference values T3 for N times of charging in each statistical unit with N times of charging serving as a statistical unit; and Step 3: forming a plurality of reference standards by dividing in the unit of time T5, making the plurality of reference standards correspond to a plurality of battery health levels, and determining the battery loss degree according to the range of the reference standard where the duration difference mean value T4 falls which is an abstract idea of mental process (MPEP 2106.04(a)) or data gathering equivalent to mathematical concept or mathematical manipulation function (MPEP 2106.04 (a) (2) (concept need not be expressed in mathematical symbols, because "[w]ords used in a claim operating on data to solve a problem can serve the same purpose as a formula), (OR Mathematical Concepts and Mental Processes) Step 2A Prong One: Yes.
Step 2A Prong Two, is the claim directed to an abstract idea? In other words, does claim recite additional elements that integrate the Judicial Exception into a practical application? there is no more additional elements.
Step 2A Prong Two: NO.
Step 2B, Does the claim recite additional element that amount to significantly more than the Judicial exception? there is no more additional elements. Step 2B: No. claim 1 not eligible.
Claim 2, Step 1 the claim is a process (or machine) (Yes),
Step 2A Prong One, does the claim recite an abstract idea? current claim related a system for evaluating the battery loss of a new energy vehicle, the system comprising: a data acquisition module which is configured to acquire factory data of a vehicle, the initial charge electric quantity of the vehicle and the duration for full charge of the vehicle; a statistical analysis module which is configured to set the initial electric quantity of the vehicle as X% according to the factory data of the vehicle, to divide the initial electric quantity into a plurality of electric quantity levels with the increment being Y%, to calculate a theoretical duration T1 for full charge of the vehicle at each of the electric quantity levels, to calculate an actual duration T2 for full charge of the vehicle under equal charge conditions at each of the electric quantity levels, to calculate a difference value T3 = T2 - T1 at each of the electric quantity levels according to the theoretical duration T1 and the actual duration T2, and to calculate a duration difference mean value T4 of the difference values T3 for N times of charging in each statistical unit with N times of charging serving as a statistical unit, wherein 0<X< 100, and 0<Y< 100; and a decision module which is configured to form a plurality of reference standards by dividing in the unit of time T5, to make the plurality of reference standards correspond to a plurality of battery health levels, and to determine the battery loss degree according to the range of the reference standard where the duration difference mean value T4 falls which is an abstract idea of mental process (MPEP 2106.04(a)) or data gathering equivalent to mathematical concept or mathematical manipulation function (MPEP 2106.04 (a) (2) (concept need not be expressed in mathematical symbols, because "[w]ords used in a claim operating on data to solve a problem can serve the same purpose as a formula), (OR Mathematical Concepts and Mental Processes) Step 2A Prong One: Yes.
Step 2A Prong Two, is the claim directed to an abstract idea? In other words, does claim recite additional elements that integrate the Judicial Exception into a practical application? there is no more additional elements.
Step 2A Prong Two: NO.
Step 2B, Does the claim recite additional element that amount to significantly more than the Judicial exception? there is no more additional elements. Step 2B: No. claim 2 not eligible.
Contact information
5. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Tung Lau whose telephone number is (571)272-2274, email is Tungs.lau@uspto.gov. The examiner can normally be reached on Tuesday-Friday 7:00 AM-5:00 PM EST.
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/TUNG S LAU/Primary Examiner, Art Unit 2857
Technology Center 2800
October 21, 2025