A method and device for detecting interaction performance of electric vehicle charging and discharging facilities

Abstract

The present application relates to the technical field of new energy electric vehicles, and specifically provides an electric vehicle charging and discharging facility interaction performance detection method and device, comprising: collecting multi-source operation data corresponding to electric vehicle charging and discharging facilities under vehicle-grid interaction conditions, and preprocessing the multi-source operation data; determining basic interaction performance indexes of electric vehicle charging and discharging facilities based on the preprocessed multi-source operation data; and detecting the interaction performance of electric vehicle charging and discharging facilities based on the basic interaction performance indexes using a multi-label standard rule mapping algorithm. The technical solution provided by the present application can provide reliable interaction performance detection means for electric vehicle charging and discharging facilities participating in orderly charging, demand response, vehicle-grid interaction and other applications, and helps to improve the controllability and operation safety of power grid regulation resources, and has a positive significance for promoting the coordinated development of electric vehicles and new power systems.

Description

Technical Field

[0001] This invention relates to the field of new energy electric vehicle technology, specifically to a method and device for testing the interactive performance of electric vehicle charging and discharging facilities. Background Technology

[0002] With the continuous growth of electric vehicle ownership, charging and discharging facilities are gradually transforming from simple energy replenishment devices into interactive facilities that can participate in grid regulation. In application scenarios such as orderly charging, demand response, and vehicle-to-grid (V2G) interaction, charging and discharging facilities need to respond according to the specified time, power, and accuracy requirements after receiving dispatch instructions. Their interactive performance directly affects the grid regulation effect and operational safety.

[0003] Currently, testing of electric vehicle charging and discharging facilities mainly focuses on safety, electrical performance, or single-function testing. Some research has begun to focus on interactive capability verification, but the following shortcomings still exist: First, existing testing methods are mostly designed for single standards or protocols, and there is a lack of a unified testing framework between different standards, which leads to repeated testing of the same facility under different standards, resulting in high testing costs. Second, testing indicators are highly coupled with standard rules, making it difficult to achieve cross-standard reuse and comparison of test results. Third, multi-source operational data differ in sampling frequency, time base, etc., and if not effectively aligned, it is easy to cause inaccurate calculation of key indicators such as response time and tracking error. Fourth, existing methods are difficult to carry out batch testing under large-scale access conditions, resulting in insufficient engineering feasibility.

[0004] Therefore, there is an urgent need for a testing method that can be compatible with multiple standard requirements under a unified testing process and accurately reflect the interactive performance of charging and discharging facilities. Summary of the Invention

[0005] To overcome the above-mentioned defects, the present invention proposes a method and device for testing the interactive performance of electric vehicle charging and discharging facilities.

[0006] Firstly, a method for testing the interactive performance of electric vehicle charging and discharging facilities is provided, the method comprising: Multi-source operational data corresponding to electric vehicle charging and discharging facilities are collected under vehicle-to-grid interaction conditions, and the multi-source operational data is preprocessed. The basic interactive performance indicators of electric vehicle charging and discharging facilities are determined based on preprocessed multi-source operational data. Based on the aforementioned basic interactive performance indicators, a multi-standard rule mapping algorithm is used to detect the interactive performance of electric vehicle charging and discharging facilities.

[0007] Preferably, the preprocessing includes at least one of the following: constructing a unified timeline, timestamp correction, and missing data compensation.

[0008] Furthermore, construct a unified timeline using the following formula:

[0009] Perform timestamp correction using the following formula:

[0010] Missing data compensation is performed using the following formula:

[0011] In the above formula, For the j-th sampling time, To detect the start time, For reference sampling period, The maximum sampling point number, , The reference sampling period set for the system. This is the timestamp correction value for the k-th sampling point of the i-th data source. Let k be the timestamp of the kth sampling point of the i-th data source. Let i be the clock offset of the i-th type of data source relative to the reference time axis. For the j-th sampling time Corresponding sampled data imputation values, For the jLth sampling time The corresponding sampled data values, where L is the length of the historical window. For the (j-1)th sampling time The corresponding sampled data values, This is a time series prediction function.

[0012] Preferably, the multi-source operation data corresponding to the electric vehicle charging and discharging facility includes: operation characteristic data from the vehicle side, the charging and discharging facility side, the power grid side, and the dispatching platform side. The operation characteristic data includes at least one of the following: power data, timestamp information, and instruction status information.

[0013] Preferably, the basic interactive performance indicators include at least one of the following: response time, power tracking deviation, power fluctuation, communication latency, and instruction execution success rate.

[0014] Furthermore, the response time is as follows:

[0015] The power tracking deviation is as follows:

[0016] The power fluctuations are as follows:

[0017] The communication delay is as follows:

[0018] The success rate of the instruction execution is as follows:

[0019] In the above formula, For response time, For the j-th sampling time, To detect the start time, For the j-th sampling time The corresponding actual output power, For the target power, The allowable relative error threshold, For power tracking deviation, To count the number of sampling points within the window, The actual power at the k-th sampling point. Let the target power be the k-th sampling point. For power fluctuations, This represents the average power value within the statistical window. For communication delay, For instruction confirmation time, For the time the instruction was sent, For the success rate of instruction execution, The number of instructions successfully executed. This represents the total number of instructions issued.

[0020] Preferably, the step of detecting the interactive performance of electric vehicle charging and discharging facilities using a multi-standard rule mapping algorithm based on the basic interactive performance indicators includes: Obtain the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determine the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard. The final judgment value of the interaction performance of electric vehicle charging and discharging facilities under the s-th standard is determined based on the standard judgment values ​​corresponding to different basic interaction performance indicators under the s-th standard. If the final judgment value of the interaction performance of the electric vehicle charging and discharging facility under the s-th standard is 1, then the electric vehicle charging and discharging facility meets the s-th standard; otherwise, the electric vehicle charging and discharging facility does not meet the s-th standard.

[0021] Furthermore, the step of obtaining the preset judgment logic and threshold or range set by the s-th standard for different basic interaction performance indicators, and determining the standard judgment value corresponding to different basic interaction performance indicators under the s-th standard, includes: The numerical range constraints of the i-th basic interactive performance index are constructed by using the preset judgment logic and threshold or range set by the s-th standard for the i-th basic interactive performance index. If the value of the i-th basic interactive performance indicator satisfies the numerical range constraint condition of the s-th standard on the i-th basic interactive performance indicator, then the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 1; otherwise, the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 0.

[0022] Furthermore, the final judgment value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard is as follows:

[0023] In the above formula, This represents the final evaluation value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard. A set of basic interactive performance indicators, This is the standard judgment value corresponding to the i-th basic interactive performance index under the s-th standard.

[0024] Secondly, a device for testing the interactive performance of electric vehicle charging and discharging facilities is provided, the device comprising: The preprocessing module is used to collect multi-source operating data corresponding to electric vehicle charging and discharging facilities under vehicle-to-grid interaction conditions, and to preprocess the multi-source operating data. The determination module is used to determine the basic interactive performance indicators of electric vehicle charging and discharging facilities based on preprocessed multi-source operational data. The detection module is used to detect the interactive performance of electric vehicle charging and discharging facilities based on the basic interactive performance indicators and using a multi-standard rule mapping algorithm.

[0025] Preferably, the preprocessing includes at least one of the following: constructing a unified timeline, timestamp correction, and missing data compensation.

[0026] Furthermore, construct a unified timeline using the following formula:

[0027] Perform timestamp correction using the following formula:

[0028] Missing data compensation is performed using the following formula:

[0029] In the above formula, For the j-th sampling time, To detect the start time, For reference sampling period, The maximum sampling point number, , The reference sampling period set for the system. This is the timestamp correction value for the k-th sampling point of the i-th data source. Let k be the timestamp of the kth sampling point of the i-th data source. Let i be the clock offset of the i-th type of data source relative to the reference time axis. For the j-th sampling time Corresponding sampled data imputation values, For the jLth sampling time The corresponding sampled data values, where L is the length of the historical window. For the (j-1)th sampling time The corresponding sampled data values, This is a time series prediction function.

[0030] Preferably, the multi-source operation data corresponding to the electric vehicle charging and discharging facility includes: operation characteristic data from the vehicle side, the charging and discharging facility side, the power grid side, and the dispatching platform side. The operation characteristic data includes at least one of the following: power data, timestamp information, and instruction status information.

[0031] Preferably, the basic interactive performance indicators include at least one of the following: response time, power tracking deviation, power fluctuation, communication latency, and instruction execution success rate.

[0032] Furthermore, the response time is as follows:

[0033] The power tracking deviation is as follows:

[0034] The power fluctuations are as follows:

[0035] The communication delay is as follows:

[0036] The success rate of the instruction execution is as follows:

[0037] In the above formula, For response time, For the j-th sampling time, To detect the start time, For the j-th sampling time The corresponding actual output power, For the target power, The allowable relative error threshold, For power tracking deviation, To count the number of sampling points within the window, The actual power at the k-th sampling point. Let the target power be the k-th sampling point. For power fluctuations, This represents the average power value within the statistical window. For communication delay, For instruction confirmation time, For the time the instruction was sent, For the success rate of instruction execution, The number of instructions successfully executed. This represents the total number of instructions issued.

[0038] Preferably, the step of detecting the interactive performance of electric vehicle charging and discharging facilities using a multi-standard rule mapping algorithm based on the basic interactive performance indicators includes: Obtain the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determine the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard. The final judgment value of the interaction performance of electric vehicle charging and discharging facilities under the s-th standard is determined based on the standard judgment values ​​corresponding to different basic interaction performance indicators under the s-th standard. If the final judgment value of the interaction performance of the electric vehicle charging and discharging facility under the s-th standard is 1, then the electric vehicle charging and discharging facility meets the s-th standard; otherwise, the electric vehicle charging and discharging facility does not meet the s-th standard.

[0039] Furthermore, the step of obtaining the preset judgment logic and threshold or range set by the s-th standard for different basic interaction performance indicators, and determining the standard judgment value corresponding to different basic interaction performance indicators under the s-th standard, includes: The numerical range constraints of the i-th basic interactive performance index are constructed by using the preset judgment logic and threshold or range set by the s-th standard for the i-th basic interactive performance index. If the value of the i-th basic interactive performance indicator satisfies the numerical range constraint condition of the s-th standard on the i-th basic interactive performance indicator, then the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 1; otherwise, the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 0.

[0040] Furthermore, the final judgment value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard is as follows:

[0041] In the above formula, This represents the final evaluation value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard. A set of basic interactive performance indicators, This is the standard judgment value corresponding to the i-th basic interactive performance index under the s-th standard.

[0042] Thirdly, a computer device is provided, comprising: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the method for detecting the interactive performance of electric vehicle charging and discharging facilities is implemented.

[0043] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed, the method for detecting the interactive performance of electric vehicle charging and discharging facilities is implemented.

[0044] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects: This invention provides a method and apparatus for detecting the interactive performance of electric vehicle charging and discharging facilities, comprising: collecting multi-source operating data corresponding to the electric vehicle charging and discharging facilities under vehicle-to-grid interaction conditions, and preprocessing the multi-source operating data; determining basic interactive performance indicators of the electric vehicle charging and discharging facilities based on the preprocessed multi-source operating data; and detecting the interactive performance of the electric vehicle charging and discharging facilities using a multi-standard rule mapping algorithm based on the basic interactive performance indicators. The technical solution provided by this invention firstly fuses data from the vehicle side, charging and discharging facility side, grid side, and dispatch platform side through multi-source data preprocessing technology. Under typical vehicle-to-grid interaction experimental conditions, by comparing the detection results with and without time alignment processing, it was found that after adopting the method of this invention, the response time calculation error is significantly reduced, and the fluctuation range of the power tracking deviation index is significantly converged, ensuring the accuracy and consistency of the interactive performance detection results from both theoretical and experimental perspectives. Secondly, by constructing a basic interactive performance indicator system independent of specific standards, and using a standard rule set mapping method to complete the judgment. Compared to existing methods that rely on a single performance indicator, this invention provides a more comprehensive reflection of the operational capabilities of charging and discharging facilities under actual regulated conditions. This helps identify potential performance shortcomings and improves the objectivity and reference value of test results. Employing a modular software implementation, the testing process requires no modification to the hardware structure of the charging and discharging facilities, offering a clear operational flow and flexible deployment. Under on-site testing conditions, interactive performance testing can be conducted simply by connecting to the necessary data interfaces, reducing manual operation and testing procedures, lowering labor intensity, and demonstrating good engineering feasibility and widespread application value.

[0045] Through the combined realization of the above-mentioned technical effects, this invention can provide a reliable means of interactive performance testing for electric vehicle charging and discharging facilities to participate in applications such as orderly charging, demand response, and vehicle-grid interaction. It helps to improve the controllability and operational safety of power grid regulation resources and has positive significance for promoting the coordinated development of electric vehicles and new power systems. Attached Figure Description

[0046] Figure 1 This is a schematic diagram of the main steps of the electric vehicle charging and discharging facility interactive performance testing method according to an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating an application scenario of the electric vehicle charging and discharging facility interactive performance testing method according to an embodiment of the present invention. Detailed Implementation

[0047] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0048] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Example 1 See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of an electric vehicle charging and discharging facility interactive performance testing method according to an embodiment of the present invention. Figure 1 As shown, the method for detecting the interactive performance of electric vehicle charging and discharging facilities in this embodiment of the invention mainly includes the following steps: Step S101: Collect multi-source operation data corresponding to electric vehicle charging and discharging facilities under vehicle-to-grid interaction conditions, and preprocess the multi-source operation data; Step S102: Determine the basic interactive performance indicators of electric vehicle charging and discharging facilities based on the preprocessed multi-source operating data; Step S103: Based on the aforementioned basic interactive performance indicators, a multi-standard rule mapping algorithm is used to detect the interactive performance of electric vehicle charging and discharging facilities.

[0050] In this embodiment, the preprocessing includes at least one of the following: constructing a unified timeline, timestamp correction, and missing data compensation.

[0051] In one implementation, a unified timeline is constructed using the following formula:

[0052] Perform timestamp correction using the following formula:

[0053] Missing data compensation is performed using the following formula:

[0054] In the above formula, For the j-th sampling time, To detect the start time, For reference sampling period, The maximum sampling point number, , The reference sampling period set for the system. This is the timestamp correction value for the k-th sampling point of the i-th data source. Let k be the timestamp of the kth sampling point of the i-th data source. Let i be the clock offset of the i-th type of data source relative to the reference time axis. For the j-th sampling time Corresponding sampled data imputation values, For the jLth sampling time The corresponding sampled data values, where L is the length of the historical window. For the (j-1)th sampling time The corresponding sampled data values, This is a time series prediction function.

[0055] In this embodiment, the multi-source operation data corresponding to the electric vehicle charging and discharging facility includes: operation characteristic data from the vehicle side, the charging and discharging facility side, the power grid side, and the dispatching platform side. The operation characteristic data includes at least one of the following: power data, timestamp information, and instruction status information.

[0056] In this embodiment, the basic interactive performance indicators include at least one of the following: response time, power tracking deviation, power fluctuation, communication latency, and instruction execution success rate.

[0057] In one implementation, the response time is as follows:

[0058] The power tracking deviation is as follows:

[0059] The power fluctuations are as follows:

[0060] The communication delay is as follows:

[0061] The success rate of the instruction execution is as follows:

[0062] In the above formula, For response time, For the j-th sampling time, To detect the start time, For the j-th sampling time The corresponding actual output power, For the target power, The allowable relative error threshold, For power tracking deviation, To count the number of sampling points within the window, The actual power at the k-th sampling point. Let the target power be the k-th sampling point. For power fluctuations, This represents the average power value within the statistical window. For communication delay, For instruction confirmation time, For the time the instruction was sent, For the success rate of instruction execution, The number of instructions successfully executed. This represents the total number of instructions issued.

[0063] In this embodiment, the step of detecting the interactive performance of electric vehicle charging and discharging facilities using a multi-standard rule mapping algorithm based on the basic interactive performance indicators includes: Obtain the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determine the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard. The final judgment value of the interaction performance of electric vehicle charging and discharging facilities under the s-th standard is determined based on the standard judgment values ​​corresponding to different basic interaction performance indicators under the s-th standard. If the final judgment value of the interaction performance of the electric vehicle charging and discharging facility under the s-th standard is 1, then the electric vehicle charging and discharging facility meets the s-th standard; otherwise, the electric vehicle charging and discharging facility does not meet the s-th standard.

[0064] In one implementation, the step of obtaining the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determining the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard, includes: The numerical range constraints of the i-th basic interactive performance index are constructed by using the preset judgment logic and threshold or range set by the s-th standard for the i-th basic interactive performance index. If the value of the i-th basic interactive performance indicator satisfies the numerical range constraint condition of the s-th standard on the i-th basic interactive performance indicator, then the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 1; otherwise, the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 0.

[0065] In one implementation, the final performance evaluation value of the electric vehicle charging and discharging facility interaction under the s-th standard is as follows:

[0066] In the above formula, This represents the final evaluation value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard. A set of basic interactive performance indicators, This is the standard judgment value corresponding to the i-th basic interactive performance index under the s-th standard.

[0067] Through the above algorithm and formula, this invention achieves: accurate alignment of multi-source heterogeneous data under a unified time base; interactive performance quantification decoupled from specific standards; parallel judgment of the same detection data under multiple standard requirements; and scalable detection process with configurable parameters, suitable for standard evolution and parallel scenarios involving multiple regulatory bodies.

[0068] In one specific implementation, the technical solution of the present invention is described using a typical vehicle-to-everything (V2X) interactive operation scenario as an example, but this does not constitute a limitation on the scope of protection of the present invention.

[0069] (a) Implementation Environment and System Deployment like Figure 2 As shown, the detection system in this embodiment is deployed at a DC charging station site with vehicle-to-grid interaction capabilities, including electric vehicles, DC charging piles, DC buses, DC / DC converters, grid-connected inverters, and AC side connected to the local power grid.

[0070] On the charging and discharging facility side, current transformers (CT), voltage transformers (VT), relays (DT), and DC power measurement modules are installed to collect voltage, current, and power data generated during the charging and discharging process in real time. The collected data is aggregated through a data acquisition unit and uploaded to the monitoring and control platform via Ethernet or 4G / 5G communication network.

[0071] To ensure time consistency of multi-source data, time synchronization modules are configured in both the data acquisition unit and the monitoring and control platform to achieve a unified time reference through NTP or GPS signals.

[0072] (II) Setting up testing conditions In this embodiment, a typical interactive working condition involving the charging and discharging facilities participating in orderly charging and demand response is selected as the test scenario. The scheduling platform issues multiple sets of active power adjustment commands to the charging and discharging facilities according to a preset test plan, including step power adjustment commands and continuously varying power adjustment commands, to examine the response speed, adjustment accuracy, and output stability of the charging and discharging facilities.

[0073] The scheduling instructions are transmitted to the charging and discharging facility control unit via the communication network, and the instruction sending time and execution feedback information are recorded.

[0074] (III) Multi-source operational data acquisition and time alignment During the testing process, the system simultaneously collects the following multi-source operational data: Actual output power data for the vehicle side and the charging / discharging facility side; AC power, voltage, and current data on the grid side; The dispatching platform provides information on the instruction issuance time, target power value, and execution confirmation.

[0075] The monitoring and control platform first performs timestamp correction on the above-mentioned multi-source operational data to construct a unified timeline. When some data is missing at a certain reference time point, a data compensation method based on historical sliding windows is used to fill in the missing data, thereby forming a detection dataset under a unified time reference.

[0076] (iv) Calculation of basic interactive performance indicators After data alignment is completed, the monitoring and control platform calls the interaction performance index calculation module to process the detection dataset and calculate basic interaction performance indicators that are independent of specific standards, including: Response time metric: used to characterize the time required for a charging / discharging facility to reach the target power range from receiving a scheduling command; Power point tracking deviation index: used to characterize the degree of deviation between the actual output power and the target power; Power fluctuation index: used to reflect the fluctuation level of output power during stable operation; Communication performance metrics: used to evaluate the communication latency and execution success rate of scheduling instructions.

[0077] The above indicators are all calculated based on operational data under a unified time benchmark, avoiding calculation errors caused by time asynchrony.

[0078] (V) Multi-standard rule mapping and detection judgment After calculating the basic interactive performance indicators, the system inputs these indicators into the multi-standard rule set mapping module. This module is pre-configured with multiple standard rule sets, each corresponding to a standard requirement, and its content includes the type of indicator of interest, threshold conditions, and judgment logic.

[0079] The system performs parallel judgments on the same set of basic interactive performance indicators based on different standard rule sets, and outputs the judgment results on whether the interactive performance test requirements are met under each standard requirement, thus realizing "one test, multiple standard evaluation".

[0080] (vi) Output and application of test results The monitoring and control platform displays and stores the test results in the form of charts or reports. These results can be used to: determine whether charging and discharging facilities meet the interactive performance requirements under different standards; compare the differences in interactive capabilities of different charging and discharging facilities under the same operating conditions; and provide a basis for charging and discharging facilities to participate in vehicle-to-grid interaction, demand response, or access assessment. Through the above implementation process, this embodiment verifies the feasibility and effectiveness of the present invention in actual vehicle-to-grid interaction scenarios, enabling interactive performance testing compliant with multiple standard requirements without changing the hardware structure of the charging and discharging facilities.

[0081] Example 2 Based on the same inventive concept, the present invention also provides an electric vehicle charging and discharging facility interactive performance testing device, the electric vehicle charging and discharging facility interactive performance testing device comprising: The preprocessing module is used to collect multi-source operating data corresponding to electric vehicle charging and discharging facilities under vehicle-to-grid interaction conditions, and to preprocess the multi-source operating data. The determination module is used to determine the basic interactive performance indicators of electric vehicle charging and discharging facilities based on preprocessed multi-source operational data. The detection module is used to detect the interactive performance of electric vehicle charging and discharging facilities based on the basic interactive performance indicators and using a multi-standard rule mapping algorithm.

[0082] Preferably, the preprocessing includes at least one of the following: constructing a unified timeline, timestamp correction, and missing data compensation.

[0083] Furthermore, construct a unified timeline using the following formula:

[0084] Perform timestamp correction using the following formula:

[0085] Missing data compensation is performed using the following formula:

[0086] In the above formula, For the j-th sampling time, To detect the start time, For reference sampling period, The maximum sampling point number, , The reference sampling period set for the system. This is the timestamp correction value for the k-th sampling point of the i-th data source. Let k be the timestamp of the kth sampling point of the i-th data source. Let i be the clock offset of the i-th type of data source relative to the reference time axis. For the j-th sampling time Corresponding sampled data imputation values, For the jLth sampling time The corresponding sampled data values, where L is the length of the historical window. For the (j-1)th sampling time The corresponding sampled data values, This is a time series prediction function.

[0087] Preferably, the multi-source operation data corresponding to the electric vehicle charging and discharging facility includes: operation characteristic data from the vehicle side, the charging and discharging facility side, the power grid side, and the dispatching platform side. The operation characteristic data includes at least one of the following: power data, timestamp information, and instruction status information.

[0088] Preferably, the basic interactive performance indicators include at least one of the following: response time, power tracking deviation, power fluctuation, communication latency, and instruction execution success rate.

[0089] Furthermore, the response time is as follows:

[0090] The power tracking deviation is as follows:

[0091] The power fluctuations are as follows:

[0092] The communication delay is as follows:

[0093] The success rate of the instruction execution is as follows:

[0094] In the above formula, For response time, For the j-th sampling time, To detect the start time, For the j-th sampling time The corresponding actual output power, For the target power, The allowable relative error threshold, For power tracking deviation, To count the number of sampling points within the window, The actual power at the k-th sampling point. Let the target power be the k-th sampling point. For power fluctuations, This represents the average power value within the statistical window. For communication delay, For instruction confirmation time, For the time the instruction was sent, For the success rate of instruction execution, The number of instructions successfully executed. This represents the total number of instructions issued.

[0095] Preferably, the step of detecting the interactive performance of electric vehicle charging and discharging facilities using a multi-standard rule mapping algorithm based on the basic interactive performance indicators includes: Obtain the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determine the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard. The final judgment value of the interaction performance of electric vehicle charging and discharging facilities under the s-th standard is determined based on the standard judgment values ​​corresponding to different basic interaction performance indicators under the s-th standard. If the final judgment value of the interaction performance of the electric vehicle charging and discharging facility under the s-th standard is 1, then the electric vehicle charging and discharging facility meets the s-th standard; otherwise, the electric vehicle charging and discharging facility does not meet the s-th standard.

[0096] Furthermore, the step of obtaining the preset judgment logic and threshold or range set by the s-th standard for different basic interaction performance indicators, and determining the standard judgment value corresponding to different basic interaction performance indicators under the s-th standard, includes: The numerical range constraints of the i-th basic interactive performance index are constructed by using the preset judgment logic and threshold or range set by the s-th standard for the i-th basic interactive performance index. If the value of the i-th basic interactive performance indicator satisfies the numerical range constraint condition of the s-th standard on the i-th basic interactive performance indicator, then the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 1; otherwise, the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 0.

[0097] Furthermore, the final judgment value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard is as follows:

[0098] In the above formula, This represents the final evaluation value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard. A set of basic interactive performance indicators, This is the standard judgment value corresponding to the i-th basic interactive performance index under the s-th standard.

[0099] Example 3 Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby realizing the steps of the electric vehicle charging and discharging facility interactive performance testing method in the above embodiments.

[0100] Example 4 Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the electric vehicle charging and discharging facility interactive performance detection method in the above embodiments.

[0101] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0103] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0104] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0105] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for testing the interactive performance of electric vehicle charging and discharging facilities, characterized in that, The method includes: Multi-source operational data corresponding to electric vehicle charging and discharging facilities are collected under vehicle-to-grid interaction conditions, and the multi-source operational data is preprocessed. The basic interactive performance indicators of electric vehicle charging and discharging facilities are determined based on preprocessed multi-source operational data. Based on the aforementioned basic interactive performance indicators, a multi-standard rule mapping algorithm is used to detect the interactive performance of electric vehicle charging and discharging facilities.

2. The method as described in claim 1, characterized in that, The preprocessing includes at least one of the following: constructing a unified timeline, timestamp correction, and missing data compensation.

3. The method as described in claim 2, characterized in that, Construct a unified timeline using the following formula: Perform timestamp correction using the following formula: Missing data compensation is performed using the following formula: In the above formula, For the j-th sampling time, To detect the start time, For reference sampling period, The maximum sampling point number, , The reference sampling period set for the system. This is the timestamp correction value for the k-th sampling point of the i-th data source. Let k be the timestamp of the kth sampling point of the i-th data source. Let i be the clock offset of the i-th type of data source relative to the reference time axis. For the j-th sampling time Corresponding sampled data imputation values, For the jLth sampling time The corresponding sampled data values, where L is the length of the historical window. For the (j-1)th sampling time The corresponding sampled data values, This is a time series prediction function.

4. The method as described in claim 1, characterized in that, The multi-source operation data corresponding to the electric vehicle charging and discharging facilities includes: operation characteristic data from the vehicle side, the charging and discharging facility side, the power grid side, and the dispatching platform side. The operation characteristic data includes at least one of the following: power data, timestamp information, and instruction status information.

5. The method as described in claim 1, characterized in that, The basic interactive performance metrics include at least one of the following: response time, power tracking deviation, power fluctuation, communication latency, and instruction execution success rate.

6. The method as described in claim 5, characterized in that, The response time is as follows: The power tracking deviation is as follows: The power fluctuations are as follows: The communication delay is as follows: The success rate of the instruction execution is as follows: In the above formula, For response time, For the j-th sampling time, To detect the start time, For the j-th sampling time The corresponding actual output power, For the target power, The allowable relative error threshold, For power tracking deviation, To count the number of sampling points within the window, The actual power at the k-th sampling point. Let the target power be the k-th sampling point. For power fluctuations, This represents the average power value within the statistical window. For communication delay, For instruction confirmation time, For the time the instruction was sent, For the success rate of instruction execution, The number of instructions successfully executed. This represents the total number of instructions issued.

7. The method as described in claim 1, characterized in that, The step of detecting the interactive performance of electric vehicle charging and discharging facilities based on the aforementioned basic interactive performance indicators and using a multi-standard rule mapping algorithm includes: Obtain the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determine the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard. The final judgment value of the interaction performance of electric vehicle charging and discharging facilities under the s-th standard is determined based on the standard judgment values ​​corresponding to different basic interaction performance indicators under the s-th standard. If the final judgment value of the interaction performance of the electric vehicle charging and discharging facility under the s-th standard is 1, then the electric vehicle charging and discharging facility meets the s-th standard; otherwise, the electric vehicle charging and discharging facility does not meet the s-th standard.

8. The method as described in claim 7, characterized in that, The step of obtaining the preset judgment logic and threshold or range set by the s-th standard for different basic interaction performance indicators, and determining the standard judgment value corresponding to different basic interaction performance indicators under the s-th standard, includes: The numerical range constraints of the i-th basic interactive performance index are constructed by using the preset judgment logic and threshold or range set by the s-th standard for the i-th basic interactive performance index. If the value of the i-th basic interactive performance indicator satisfies the numerical range constraint condition of the s-th standard on the i-th basic interactive performance indicator, then the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 1; otherwise, the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 0.

9. The method as described in claim 7, characterized in that, The final judgment value of the interactive performance of electric vehicle charging and discharging facilities under the s-th standard is as follows: In the above formula, This represents the final evaluation value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard. A set of basic interactive performance indicators, This is the standard judgment value corresponding to the i-th basic interactive performance index under the s-th standard.

10. A device for testing the interactive performance of electric vehicle charging and discharging facilities, characterized in that, The device includes: The preprocessing module is used to collect multi-source operating data corresponding to electric vehicle charging and discharging facilities under vehicle-to-grid interaction conditions, and to preprocess the multi-source operating data. The determination module is used to determine the basic interactive performance indicators of electric vehicle charging and discharging facilities based on preprocessed multi-source operational data. The detection module is used to detect the interactive performance of electric vehicle charging and discharging facilities based on the basic interactive performance indicators and using a multi-standard rule mapping algorithm.

11. The apparatus as claimed in claim 10, characterized in that, The preprocessing includes at least one of the following: constructing a unified timeline, timestamp correction, and missing data compensation.

12. The apparatus as claimed in claim 11, characterized in that, Construct a unified timeline using the following formula: Perform timestamp correction using the following formula: Missing data compensation is performed using the following formula: In the above formula, For the j-th sampling time, To detect the start time, For reference sampling period, The maximum sampling point number, , The reference sampling period set for the system. This is the timestamp correction value for the k-th sampling point of the i-th data source. Let k be the timestamp of the kth sampling point of the i-th data source. Let i be the clock offset of the i-th type of data source relative to the reference time axis. For the j-th sampling time Corresponding sampled data imputation values, For the jLth sampling time The corresponding sampled data values, where L is the length of the historical window. For the (j-1)th sampling time The corresponding sampled data values, This is a time series prediction function.

13. The apparatus as claimed in claim 10, characterized in that, The multi-source operation data corresponding to the electric vehicle charging and discharging facilities includes: operation characteristic data from the vehicle side, the charging and discharging facility side, the power grid side, and the dispatching platform side. The operation characteristic data includes at least one of the following: power data, timestamp information, and instruction status information.

14. The apparatus as claimed in claim 10, characterized in that, The basic interactive performance metrics include at least one of the following: response time, power tracking deviation, power fluctuation, communication latency, and instruction execution success rate.

15. The apparatus as claimed in claim 14, characterized in that, The response time is as follows: The power tracking deviation is as follows: The power fluctuations are as follows: The communication delay is as follows: The success rate of the instruction execution is as follows: In the above formula, For response time, For the j-th sampling time, To detect the start time, For the j-th sampling time The corresponding actual output power, For the target power, The allowable relative error threshold, For power tracking deviation, To count the number of sampling points within the window, The actual power at the k-th sampling point. Let the target power be the k-th sampling point. For power fluctuations, This represents the average power value within the statistical window. For communication delay, For instruction confirmation time, For the time the instruction was sent, For the success rate of instruction execution, The number of instructions successfully executed. This represents the total number of instructions issued.

16. The apparatus as claimed in claim 10, characterized in that, The step of detecting the interactive performance of electric vehicle charging and discharging facilities based on the aforementioned basic interactive performance indicators and using a multi-standard rule mapping algorithm includes: Obtain the preset judgment logic and threshold or range set by the s-th standard for different basic interactive performance indicators, and determine the standard judgment value corresponding to different basic interactive performance indicators under the s-th standard. The final judgment value of the interaction performance of electric vehicle charging and discharging facilities under the s-th standard is determined based on the standard judgment values ​​corresponding to different basic interaction performance indicators under the s-th standard. If the final judgment value of the interaction performance of the electric vehicle charging and discharging facility under the s-th standard is 1, then the electric vehicle charging and discharging facility meets the s-th standard; otherwise, the electric vehicle charging and discharging facility does not meet the s-th standard.

17. The apparatus as claimed in claim 16, characterized in that, The step of obtaining the preset judgment logic and threshold or range set by the s-th standard for different basic interaction performance indicators, and determining the standard judgment value corresponding to different basic interaction performance indicators under the s-th standard, includes: The numerical range constraints of the i-th basic interactive performance index are constructed by using the preset judgment logic and threshold or range set by the s-th standard for the i-th basic interactive performance index. If the value of the i-th basic interactive performance indicator satisfies the numerical range constraint condition of the s-th standard on the i-th basic interactive performance indicator, then the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 1; otherwise, the standard judgment value of the i-th basic interactive performance indicator under the s-th standard is 0.

18. The apparatus as claimed in claim 17, characterized in that, The final judgment value of the interactive performance of electric vehicle charging and discharging facilities under the s-th standard is as follows: In the above formula, This represents the final evaluation value for the interactive performance of electric vehicle charging and discharging facilities under the s-th standard. A set of basic interactive performance indicators, This is the standard judgment value corresponding to the i-th basic interactive performance index under the s-th standard.

19. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the method for detecting the interactive performance of electric vehicle charging and discharging facilities as described in any one of claims 1 to 9 is implemented.

20. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the method for detecting the interactive performance of electric vehicle charging and discharging facilities as described in any one of claims 1 to 9.

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