CN107506910A - The method for assessing electrical changing station service ability - Google Patents
The method for assessing electrical changing station service ability Download PDFInfo
- Publication number
- CN107506910A CN107506910A CN201710674864.5A CN201710674864A CN107506910A CN 107506910 A CN107506910 A CN 107506910A CN 201710674864 A CN201710674864 A CN 201710674864A CN 107506910 A CN107506910 A CN 107506910A
- Authority
- CN
- China
- Prior art keywords
- service
- order
- battery
- station
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000012545 processing Methods 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000012797 qualification Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 5
- 238000010168 coupling process Methods 0.000 claims description 5
- 238000005859 coupling reaction Methods 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 11
- 230000003321 amplification Effects 0.000 abstract description 2
- 238000003199 nucleic acid amplification method Methods 0.000 abstract description 2
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000001174 ascending effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008713 feedback mechanism Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Development Economics (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of method for assessing electrical changing station service ability, including：Receive multiple from user and change electric order；First order is matched to a service round of the first battery；Wherein, the first order is any one multiple changed in electric order；Calculate service of first battery to the first order and fit lattice degree；And the suitable lattice degree of service corresponding to each order difference received according to electrical changing station within a period, to assess the service ability of electrical changing station.Based on this method, the service ability that electrical changing station exchanges electric order in various different time sections can be fully and effectively embodied, this enables integrated planning of the technical staff to being laid out progress in resource amplification in the station of electrical changing station, city evidence-based.
Description
Technical Field
The invention relates to the technical field of electric automobiles, in particular to a method for evaluating service capacity of a power exchange station.
Background
In a battery swapping service business system, a resource (for example, a battery) needs to be reserved according to the requirement of a battery swapping order. When the reservation of the resource is processed, whether the resource is free in the time period needing the reservation or not is considered, and whether the resource has enough capacity to provide the service or not is considered.
For the charging station, regarding the service capability, it is necessary to determine whether resources are available, ensure that a charged battery is provided for replacement in a reserved time period, and even reserve certain resources to cope with an emergency order, and the reservation condition of the resources may affect the charging state of the battery in the charging station. The actual usage of the reserved battery (whether the reserved battery is normally used or not, and the actual time of use) also affects the state of charge of the battery.
Due to uncertainty of the reservation time requirement of the battery replacement order, technicians are difficult to predict the battery state of the battery replacement station at a certain future time, and further difficult to judge whether the service capacity of the battery replacement station meets the requirement. Therefore, a method is needed to estimate the current service capability of the swapping station and predict the service capability of the swapping station at a future time by combining the swapping order reservation information and the battery state information of the swapping station, so as to perform overall planning on in-station resource expansion and in-city arrangement of the swapping station.
Disclosure of Invention
The invention aims to provide a method for evaluating service capability of a power conversion station.
In order to achieve the above purpose, the invention provides a technical scheme as follows:
a method for evaluating service capability of a power changing station comprises the following steps: a) Receiving a plurality of battery replacement orders from a user; b) Matching the first order to a service turn of the first battery; the first order is any one of a plurality of battery replacement orders; c) Calculating the service qualification degree of the first battery to the first order; and d) evaluating the service capability of the battery replacement station according to the service qualification degree corresponding to each order received by the battery replacement station within a time period.
Preferably, the service eligibility degree is calculated based on a desired charging time of the first order and a charging completion time of the first battery.
Preferably, the service eligibility is adaptively updated based on the receipt of a new order.
Preferably, in step d), service eligibility degrees corresponding to each order received by the power conversion station in different time periods are respectively counted, where the different time periods at least include: the commuting time period; a holiday time period; and equipment maintenance time period of the power swapping station.
The invention also discloses a system for evaluating the service capability of the battery changing station, which comprises the following components: the order matching unit is in communication coupling with the order processing unit and is used for matching the first order with the service turns of the first battery; the first order is any one of a plurality of battery replacement orders; the service conformity degree calculating unit is in communication coupling with the order matching unit and is used for calculating the service conformity degree of the first battery to the first order; and the service capability evaluation unit is in communication coupling with the service conformity degree calculation unit and is used for evaluating the service capability of the battery replacement station according to the service conformity degree corresponding to each order received by the battery replacement station within a time period.
Preferably, the service adequacy calculating unit obtains the expected battery replacement time of the first order and the charging completion time of the first battery from the order matching unit, and calculates the service adequacy of the first battery to the first order.
Preferably, the service eligibility calculation unit further learns of the reception of the new order from the order matching unit and adaptively updates the service eligibility of the first order for the first battery.
The method and the system for evaluating the service capacity of the battery replacement station, provided by the invention, are combined with the battery replacement order reservation information and the battery state information of the battery replacement station, so that not only can a battery suitable for providing service be matched for each order, but also the service adequacy of the battery to the order can be calculated, and further the current service capacity of the battery replacement station can be evaluated, and the service capacity of the battery replacement station at a certain future time can be predicted. Due to the introduction of the service adequacy and the statistical analysis based on the service adequacy, the service capability of the power change station to the power change order at various different time periods can be fully and effectively embodied, so that technicians can have basis for the in-station resource amplification of the power change station and the overall planning of the in-city arrangement.
Drawings
Fig. 1 is a flowchart illustrating a method for evaluating a power swapping station service capability according to a first embodiment of the present invention.
Fig. 2 shows a block diagram of a power swapping station service capability evaluation system according to a second embodiment of the present invention.
Fig. 3 shows a graph of the change in the service goodness indicator.
Detailed Description
In the following description, specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent, however, to one skilled in the art that embodiments of the invention can be practiced without these specific details. In the present invention, specific numerical references such as "first element", "second device", and the like may be made. However, specific numerical references should not be construed as necessarily subject to their literal order, but rather construed as "a first element" as opposed to "a second element".
The specific details set forth herein are merely exemplary and variations of the specific details may be made while remaining within the spirit and scope of the invention. The term "coupled" is defined to mean either directly connected to a component or indirectly connected to the component via another component.
Preferred embodiments of methods, systems and devices suitable for implementing the present invention are described below with reference to the accompanying drawings. Although embodiments are described with respect to a single combination of elements, it is to be understood that the invention includes all possible combinations of the disclosed elements. Thus, if one embodiment includes elements a, B, and C, and a second embodiment includes elements B and D, then the invention should also be considered to include other remaining combinations of a, B, C, or D, even if not explicitly disclosed.
As shown in fig. 1, a first embodiment of the present invention provides a method for evaluating service capability of a power conversion station, which includes the following steps.
And S10, receiving a plurality of battery replacement orders from a user.
Specifically, the battery replacement order indicates that a user of the electric vehicle expects to replace the battery at the battery replacement station at a reserved time.
Further, as a further improvement of the present invention, when the service system determines that the service capability of the power swapping station is insufficient to handle a certain order or a subsequent order, the service system may forward a part of the subsequent order to another power swapping station for processing. Here, the method for evaluating the service capability of the power swapping station according to the first embodiment may be used to determine the service capability of the power swapping station. In other words, the step S40 detailed later can feed back data or information about the service capability of the power exchange station to the step S10.
And step S20, matching the first order to a service turn of the first battery.
The first order is any one of a plurality of battery replacement orders. The "service round" has a correspondence with the charging round of the battery. After the battery is charged, the battery can be reloaded to the electric vehicle for the user to use, for example, the battery with the initial full capacity provides the first service turn for the user, after the user comes to the battery replacing station to replace the battery, the replaced old battery will be charged for the first charging turn at the charging station, after the charging is completed, the battery can provide the second service turn, and so on. Although the batteries in the first and second service turns have been different, for convenience, the battery used in the first service turn and the battery used in the second service turn are collectively referred to herein as "first battery".
In this step, the service system matches the most suitable service turn of the battery for each order information, and the matching process needs to consider at least the following factors: the expected swap time for the order, the status of each battery within the swap station (e.g., current charge level, whether charging is occurring), and the type of battery (whether consistent with the type of battery required for the order).
As an example, the orders are sorted in an ascending order according to the expected battery replacement time, and the batteries are sorted in a descending order according to the remaining capacity, so that the order with the expected battery replacement time ahead is matched with the battery with more remaining capacity.
Specifically, the following equation may be employed to determine the service round for the first battery:
i = INT ((k-1)/n) +1, j =k- (i-1) × n (equation 1)
Wherein i is a number representing a service turn, j is a number of a first battery, k is a number of a first order, INT represents an integer function, n is a total number of effective batteries in the power swapping station, n = min (round-R, P-swap/(P-battery C-rate T-SOC)), where round-R is a total number of batteries in the power swapping station, P-swap is a total power output by the power swapping station, P-battery is a battery capacity (if capacities of batteries in the power swapping station are not completely consistent, an average capacity, a maximum capacity, and the like can be taken according to a service target), C-rate is a charging rate (rate) of the power swapping station for charging the batteries (if charging rates of the batteries in the power swapping station are not completely consistent, an average charge rate, a minimum charge rate, and the like can be taken according to the service target), and T-SOC (state) is a target charging state.
And S30, calculating the service adequacy of the first battery to the first order.
Herein, the "service adequacy degree" represents a adequacy degree of a battery provided by a battery replacement station to a replacement order.
Specifically, the service eligibility is generally calculated based on the expected swap time of the first order and the charge completion time of the first battery.
For example, the expected battery replacement time of the first order represents a time point when the user expects a battery replacement operation to the battery replacement station, and the charge completion time of the first battery is calculated according to the following equation:
wherein, B _ T _ S ij For the initial charging time of the first battery, BT ij Target amount of charge for charging the first battery, B _ C ij Is the current charge of the first battery, B _ R ij Is a firstA battery is charged at a multiple (rate) rate.
On the basis of equation 2 above, the service eligibility is calculated as follows:
M(i,j,k)＝1/[1+e -f(i,j,k) ](equation 3)
And (c) a second step of,
wherein, R _ T k And λ is a self-defined coefficient, for example, a value of 20. The service fitness depends on the desired swap time of the order, the charge completion time of the matched battery according to equations 3 and 4 above, and the charge completion time can be calculated according to equation 2 above.
The equation is adopted for calculation, the value of the service eligibility M is between 0 and 1, M =0.5 is full score, and the service eligibility M represents the highest eligibility; when M <0.5, the battery is not suitable for providing the battery replacement service for the order; m is between 0.5 and 1, which indicates that the charging service can be provided for the order, but is not the best option.
In addition, the condition of rejecting to swap for an order can be dynamically adjusted according to the business requirement, as an example: there is no battery that has been charged at the expected charging time of the charging order, but one battery will be available after 5 minutes of the expected charging time, i.e. (R _ T) k -B_S ij ) = 5, the service fitness calculated at this time is M =1/[1+ e ] -f(i,j,k) ]＝1/[1+e 5/20 ]The service quality is approximately equal to 0.44, if the user can accept the service after waiting for 5 minutes, only dynamic adjustment is needed, for example, the condition of refusing to provide the battery replacement service for the user is set to be that the service eligibility degree is lower than 0.44; in other words, when the calculated service eligibility is greater than or equal to the threshold value of 0.44, the corresponding battery replacement order is accepted and processed by the battery replacement station.
According to the above equation 4, the correspondence between the service goodness M (i, j, k) and f (i, j, k) may be as shown in fig. 3.
Further, if the user' sThe power swapping order is received by the power swapping station and is responsible for processing, and then the following steps are executed: updating the starting charging time of the (i + 1) th service turn of the jth battery, denoted as B _ T _ S (i+1)j = time is consumed for the desired battery replacement time + battery replacement operation; and updating the current electric quantity B _ C of the ith charging round of the jth battery (after the charging is finished, the ith +1 service round is provided) ij The current charge of the battery is changed.
And S40, evaluating the service capability of the battery replacement station according to the service qualification degrees respectively corresponding to the orders received by the battery replacement station within a time period.
In this step, each order received by the power change station within a certain past time period is extracted, the corresponding service eligibility of each order is obtained, and further, the total service eligibility of the power change station for the power change order within the time period is statistically analyzed. The overall service fitness index can be used for evaluating the current service capacity of the power conversion station and predicting the service capacity of the power conversion station at a certain future time.
Further, the overall service fitness of the power conversion station in different time periods may be statistically analyzed respectively, and the different time periods at least include: the commuting time period; a holiday time period; and equipment maintenance time period of the power swapping station.
As a modification to the first embodiment, the service eligibility of the first battery for the first order calculated in step S30 may be fed back to step S20, so that if it is determined that the service eligibility that can be obtained by the first order is lower than the threshold, the first battery that has been matched in step S20 is considered not to be suitable for serving the first order, and a re-matching operation for the first order is started to obtain a more suitable piece, for example, another "first battery".
As a further improvement to the first embodiment described above, the service eligibility M is adaptively updated based on the receipt of a new order. That is, each time a new order is received and processed, the respective service eligibility of all the orders currently processed is updated one by one. This adaptive update is because it is considered that the processing of an urgent order (e.g., an order requiring a battery replacement operation within 5 minutes) may cause a change in the matching relationship between each order currently being processed and the available battery in the battery replacement station, and the change in the matching relationship may indicate that the originally selected first battery will not provide service for the first order, in which case the service eligibility must satisfy the adaptive mechanism.
The method for evaluating the service capability of the battery replacement station provided by the first embodiment can match a battery suitable for providing service for each order, and can calculate the service qualification degree of the battery for the order, so as to evaluate the current service capability of the battery replacement station and predict the service capability of the battery replacement station at a future time.
As shown in fig. 2, a second embodiment of the present invention provides a replacement station service capability evaluating system, which includes an order processing unit 20, an order matching unit 21, a service suitability calculating unit 22, and a service capability evaluating unit 23.
The order processing unit 20 is configured to receive a plurality of battery replacement orders from a user.
An order matching unit 21 is communicatively coupled to the order processing unit 20 for matching the first order to a service turn of the first battery. The first order is any one of a plurality of battery replacement orders.
The service eligibility calculation unit 22 is communicatively coupled to the order matching unit 21 for calculating a service eligibility of the first order for the first battery.
The service capability evaluating unit 23 is communicatively coupled to the service conformity degree calculating unit 22, and is configured to evaluate the service capability of the battery replacement station according to the service conformity degree respectively corresponding to each order received by the battery replacement station within a time period.
Specifically, the service eligibility calculation unit 22 obtains the expected battery replacement time of the first order and the charging completion time of the first battery from the order matching unit 21, and calculates the service eligibility M of the first order by the first battery, which may adopt equations 3 and 4 as provided in the first embodiment described above.
Preferably, the service eligibility calculation unit 22 further has a feedback mechanism to feed back the service eligibility data or information to the order matching unit 21. Specifically, for example, if the service eligibility calculation unit 22 determines that the service eligibility that can be obtained by the first order is lower than the threshold, the first battery that has been successfully matched is considered to be unsuitable for providing service for the first order, and a re-matching operation for the first order is initiated.
Further, the service eligibility calculation unit 22 also learns of the reception of a new order from the order matching unit 21, and adaptively updates the service eligibility of the first order for the first battery.
In some embodiments of the invention, at least a portion of the above-described system may be implemented using a distributed set of computing devices connected by a communications network, or "cloud" based. In such a system, multiple computing devices operate together to provide services by using their shared resources.
A "cloud" based implementation may provide one or more advantages, including: openness, flexibility and scalability, centralizability, reliability, scalability, optimization of computing resources, the ability to aggregate and analyze information across multiple users, connectivity across multiple geographical areas, and the ability to use multiple mobile or data network operators for network connectivity.
A third embodiment of the present invention provides a computer storage medium having computer-executable instructions stored thereon, wherein the computer-executable instructions, when executed by a processor, perform the method provided by the first embodiment or various modifications thereof.
The above description is directed to the preferred embodiment of the present invention only, and is not intended to limit the scope of the present invention. Various modifications may be made by those skilled in the art without departing from the spirit of the invention and the appended claims.
Claims (12)
1. A method for evaluating service capability of a power changing station comprises the following steps:
a) Receiving a plurality of battery replacement orders from a user;
b) Matching the first order to a service turn of the first battery; wherein the first order is any one of the plurality of battery replacement orders;
c) Calculating the service adequacy of the first battery to the first order; and
d) And evaluating the service capability of the battery replacement station according to the service qualification degree corresponding to each order received by the battery replacement station within a time period.
2. The method of claim 1, wherein the service eligibility is calculated based on an expected swap time for the first order, a charge completion time for the first battery.
3. The method of claim 2, wherein the service eligibility is adaptively updated based on receipt of a new order.
4. The method of claim 2, wherein said step b) determines said service round for said first battery using the following equation:
i＝INT((k-1)/n)+1,j＝k-(i-1)*n
wherein i is the service round, j is the number of the first battery, k is the number of the first order, INT represents an integer function, and n is the total number of effective batteries in the battery swapping station.
5. The method according to claim 2, wherein in step c), the charge completion time of the first battery is calculated as follows:
B_S ij = start charging time + (target electric quantity-current electric quantity) ÷ charge rate]＝
B_T_S ij +(B_T ij -B_C ij )÷B_R ij
Wherein, B _ T _ S ij For the initial charging time of the first battery, BT ij Is the first batteryTarget amount of charge to be carried out, B _ C ij Is the current charge of the first battery, B _ R ij A charge rate at which the first battery is charged.
6. The method according to claim 5, wherein in step c), the service eligibility is calculated according to the following equation:
M(i,j,k)＝1/[1+e -f(i,j,k) ]and, in addition,
wherein, R _ T k And lambda is a self-defined coefficient, wherein lambda is the expected battery replacement time of the first order.
7. The method as claimed in claim 5, wherein in step d), the service eligibility degrees corresponding to the orders received by the power conversion station in different time periods are respectively counted, wherein the different time periods at least include:
the commuting time period;
a holiday time period; and
and the equipment maintenance time period of the power swapping station.
8. A system for service capability assessment of a power swapping station, comprising:
an order processing unit for receiving a plurality of battery replacement orders from a user,
an order matching unit, communicatively coupled with the order processing unit, for matching the first order to a service turn of the first battery; wherein the first order is any one of the plurality of battery replacement orders;
the service qualification degree calculation unit is in communication coupling with the order matching unit and is used for calculating the service qualification degree of the first battery to the first order; and
and the service capability evaluation unit is in communication coupling with the service adequacy calculation unit and is used for evaluating the service capability of the power swapping station according to the service adequacy respectively corresponding to each order received by the power swapping station in a time period.
9. The system of claim 8, wherein the service eligibility calculation unit obtains the expected battery replacement time of the first order and the charge completion time of the first battery from the order matching unit, and calculates the service eligibility of the first order for the first battery.
10. The system of claim 8, wherein the service eligibility calculation unit further learns of receipt of a new order from the order matching unit and adaptively updates the service eligibility of the first order for the first battery.
11. The system according to any one of claims 8 to 10, wherein the system is implemented based on a cloud computing platform.
12. A computer storage medium having computer-executable instructions stored thereon, wherein the computer-executable instructions, when executed by a processor, perform the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710674864.5A CN107506910A (en) | 2017-08-09 | 2017-08-09 | The method for assessing electrical changing station service ability |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710674864.5A CN107506910A (en) | 2017-08-09 | 2017-08-09 | The method for assessing electrical changing station service ability |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107506910A true CN107506910A (en) | 2017-12-22 |
Family
ID=60690485
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710674864.5A Pending CN107506910A (en) | 2017-08-09 | 2017-08-09 | The method for assessing electrical changing station service ability |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107506910A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109492868A (en) * | 2018-10-08 | 2019-03-19 | 许昌许继软件技术有限公司 | A kind of appraisal procedure and system of electric car electrically-charging equipment performance |
| CN110472891A (en) * | 2019-08-26 | 2019-11-19 | 上海蔚来汽车有限公司 | It is powered on service ability or the assessment or management method of resource, system and storage medium |
| CN110866668A (en) * | 2018-08-28 | 2020-03-06 | 蔚来汽车有限公司 | Battery changing station service capability assessment method and battery changing station service resource scheduling system |
| CN112782727A (en) * | 2020-11-20 | 2021-05-11 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Station distribution design method based on observation weak area compensation |
| CN113765198A (en) * | 2021-11-09 | 2021-12-07 | 北京胜能能源科技有限公司 | Charging system and method for battery replacement |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102074978A (en) * | 2010-10-27 | 2011-05-25 | 国家电网公司 | Charging and replacing power station, charging and replacing control method and system and operation monitoring system |
| CN103810539A (en) * | 2014-02-25 | 2014-05-21 | 华北电力大学 | Optimal capacity configuration method considering availability of power conversion service for electric automobile converter station |
| CN106066942A (en) * | 2016-06-15 | 2016-11-02 | 广东工业大学 | A kind of charging service satisfaction computational methods and system |
| JP2017084347A (en) * | 2015-10-30 | 2017-05-18 | 株式会社東芝 | Plan creation device, plan creation method, program, data, and generator control device |
-
2017
- 2017-08-09 CN CN201710674864.5A patent/CN107506910A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102074978A (en) * | 2010-10-27 | 2011-05-25 | 国家电网公司 | Charging and replacing power station, charging and replacing control method and system and operation monitoring system |
| CN103810539A (en) * | 2014-02-25 | 2014-05-21 | 华北电力大学 | Optimal capacity configuration method considering availability of power conversion service for electric automobile converter station |
| JP2017084347A (en) * | 2015-10-30 | 2017-05-18 | 株式会社東芝 | Plan creation device, plan creation method, program, data, and generator control device |
| CN106066942A (en) * | 2016-06-15 | 2016-11-02 | 广东工业大学 | A kind of charging service satisfaction computational methods and system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110866668A (en) * | 2018-08-28 | 2020-03-06 | 蔚来汽车有限公司 | Battery changing station service capability assessment method and battery changing station service resource scheduling system |
| CN110866668B (en) * | 2018-08-28 | 2023-07-28 | 蔚来(安徽)控股有限公司 | Service capacity evaluation method of power exchange station and service resource scheduling system of power exchange station |
| CN109492868A (en) * | 2018-10-08 | 2019-03-19 | 许昌许继软件技术有限公司 | A kind of appraisal procedure and system of electric car electrically-charging equipment performance |
| CN110472891A (en) * | 2019-08-26 | 2019-11-19 | 上海蔚来汽车有限公司 | It is powered on service ability or the assessment or management method of resource, system and storage medium |
| CN110472891B (en) * | 2019-08-26 | 2023-10-17 | 上海蔚来汽车有限公司 | Method, system and storage medium for evaluating or managing power-up service capability or resource |
| CN112782727A (en) * | 2020-11-20 | 2021-05-11 | 中国电波传播研究所（中国电子科技集团公司第二十二研究所） | Station distribution design method based on observation weak area compensation |
| CN113765198A (en) * | 2021-11-09 | 2021-12-07 | 北京胜能能源科技有限公司 | Charging system and method for battery replacement |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107506910A (en) | The method for assessing electrical changing station service ability | |
| US10218201B2 (en) | Charge and discharge control apparatus and method | |
| JP4998544B2 (en) | Replacement power storage device management system and replacement power storage device management method | |
| CN110795217B (en) | Task allocation method and system based on resource management platform | |
| CN106161511A (en) | Service request processing method, relevant apparatus and system | |
| CN107341582A (en) | Electrical changing station service ability Forecasting Methodology and system | |
| JP6179512B2 (en) | Charging system control device, charging system, program, and control method | |
| CN111741427A (en) | Service complaint processing method, device and equipment | |
| CN114727350B (en) | Terminal switching method, device, equipment and storage medium | |
| US9751418B2 (en) | Charge managing system, charger, and program | |
| EP3496229A1 (en) | Solar charging control device and charging control method | |
| US20160164312A1 (en) | Power management system and power management method | |
| CN114971205A (en) | Order dispatching method and system | |
| CN114978292A (en) | Satellite network connection method, system, electronic equipment and storage medium | |
| CN110857962A (en) | Battery performance evaluation method | |
| CN110866668B (en) | Service capacity evaluation method of power exchange station and service resource scheduling system of power exchange station | |
| US20220101247A1 (en) | Component replacement method and component replacement system | |
| CN114506239A (en) | Power distribution method, system, medium and device of charging equipment and charging and replacing power station | |
| CN109978241A (en) | A kind of determination method and device of electric car charging load | |
| CN114205374B (en) | Transmission and calculation joint scheduling method, device and system based on information timeliness | |
| CN112132395A (en) | Order sending method and device, storage medium and electronic equipment | |
| CN110366194B (en) | Resource calling method, device and system | |
| CN108038643A (en) | Intelligent goods dispatch management method and system | |
| CN115529249B (en) | Task demand-oriented spaceflight measurement and control data transmission resource configuration evaluation method | |
| JP2023036272A (en) | On-vehicle battery management device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171222 |