Methods and devices for evaluating the energy metering performance of charging piles, and electronic equipment

Abstract

This invention discloses a method, device, and electronic equipment for evaluating the energy metering performance of charging piles, relating to the field of new energy technology or other related technical fields. The method includes: acquiring the identification information of a target charging pile; determining the charging pile chain to which the target charging pile belongs based on the identification information, and acquiring a target associated charging pile and a reference charging pile on the charging pile chain corresponding to the target charging pile; querying an interactive metering database to acquire first interactive metering data of the target charging pile, second interactive metering data of the target associated charging pile, and reference interactive metering data of the reference charging pile; calculating the metering error of the target charging pile based on the first, second, and reference interactive metering data; and evaluating the energy metering performance of the target charging pile based on the metering error. This invention solves the technical problem of low efficiency in related technologies where on-site verification of the metering performance of charging piles is performed.

Description

Technical Field

[0001] This invention relates to the field of new energy technology or other related technical fields. Specifically, it relates to a method and device for evaluating the power metering performance of charging piles, as well as electronic equipment. Background Technology

[0002] In recent years, with the popularization of new energy technologies and the rapid development of electric vehicle charging infrastructure, the number of charging piles has increased rapidly. As metering tools in electricity trading, the accuracy of electricity metering in these charging piles plays a fundamental role in maintaining market fairness and promoting the development of the new energy vehicle industry. Given the current large number of charging piles, and with the continued development of the new energy vehicle industry, the number of charging piles will further increase. Behind this large number of charging piles lies a massive electricity trading activity. If the accuracy of electricity metering cannot be guaranteed, it will lead to a significant waste of resources or cause electric vehicle users to bear additional costs, thereby weakening user confidence in the electric vehicle industry and hindering its development. Therefore, in order to create a sound electricity trading market and support the development of electric vehicles, it is crucial to focus on the accuracy of electricity metering in charging piles.

[0003] In related technologies, the working error of power metering of charging piles is obtained through on-site verification. This involves using an on-site calibrator with high power metering accuracy to measure the same load as the charging pile under test, and then comparing the power metering values ​​of the on-site calibrator and the charging pile under test to obtain the working error of power metering.

[0004] However, the on-site verification method has obvious limitations. It involves the use of high-precision calibration equipment, which is costly. On the other hand, it requires carrying sophisticated calibration equipment to the location of each charging pile, and the on-site verification of a single charging pile takes a long time. Faced with a large number of charging piles, the on-site verification method is inefficient and cannot meet the needs of comprehensive periodic verification.

[0005] There is currently no effective solution to the above problems. Summary of the Invention

[0006] This invention provides a method, apparatus, and electronic device for evaluating the electrical energy metering performance of charging piles, in order to at least solve the technical problem that the method of verifying the metering performance of charging piles based on on-site verification is inefficient in related technologies.

[0007] According to one aspect of the present invention, a method for evaluating the energy metering performance of a charging pile is provided, comprising: determining a target charging pile to be evaluated and obtaining identification information of the target charging pile; determining a charging pile chain in which the target charging pile is located based on the identification information, and obtaining a target associated charging pile corresponding to the target charging pile and a reference charging pile on the charging pile chain, wherein the target charging pile and the target associated charging pile have a topological association relationship with the same electric vehicle; querying an interactive metering database based on the target charging pile, the target associated charging pile, and the reference charging pile to obtain first interactive metering data of the target charging pile, second interactive metering data of the target associated charging pile, and reference interactive metering data of the reference charging pile; calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and evaluating the energy metering performance of the target charging pile based on the metering error of the target charging pile.

[0008] Optionally, the step of calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data includes: when the target associated charging pile is the reference charging pile on the charging pile chain, obtaining the metering error of the target associated charging pile, wherein, when the target associated charging pile is the reference charging pile on the charging pile chain, the metering error of the target associated charging pile is the reference metering error of the reference charging pile, and the reference metering error is predetermined; extracting the charging current and battery pack temperature in each first charging sub-process from the first interactive metering data, and extracting the charging current and battery pack temperature in each second charging sub-process from the second metering data of the target associated charging pile; obtaining the target charging pile and the target associated charging pile based on the charging current and battery pack temperature in each first charging sub-process and the charging current and battery pack temperature in each second charging sub-process. The first and second charging sub-processes for matching charging piles are described, wherein obtaining the first and second charging sub-processes for matching the target charging pile and the target associated charging pile is based on pre-configured matching conditions. These matching conditions include: the battery pack temperature difference between the first and second charging sub-processes is less than a temperature difference threshold, and the charging current difference between the first and second charging sub-processes is less than a charging current difference threshold; extracting the SOC estimate and energy metering value of the first charging sub-process corresponding to the target charging pile from the first interactive metering data, and extracting the SOC estimate and energy metering value of the second charging sub-process corresponding to the target associated charging pile from the second interactive metering data; and calculating the metering error of the target charging pile based on the SOC estimate and energy metering value of the first charging sub-process, the SOC estimate and energy metering value of the second charging sub-process, and the metering error of the target associated charging pile.

[0009] Optionally, the step of calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data includes: Step 1, when the associated charging pile is not the reference charging pile on the charging pile chain, obtaining the reference metering error of the reference charging pile; Step 2, determining the associated charging pile corresponding to the reference charging pile, obtaining the charging sub-process matched between the reference charging pile and the associated charging pile, and calculating the metering error of the associated charging pile based on the SOC estimate and energy metering value of the reference charging pile in the matched charging sub-process, the SOC estimate and energy metering value of the associated charging pile in the matched charging sub-process, and the reference metering error of the reference charging pile, and using the associated charging pile with the calculated metering error as a new reference charging pile; repeating Step 2 until the metering error of the target associated charging pile is calculated, and calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the metering error of the target associated charging pile.

[0010] Optionally, before determining the target charging pile to be evaluated, the method further includes: establishing a topological association between the electric vehicle and the charging pile during the electric vehicle charging process, and acquiring the charging data of the electric vehicle and the energy metering data of the charging pile to obtain interactive metering data of the electric vehicle during the charging process at the charging pile. The charging data includes at least one of the following: charging current data of the electric vehicle during charging, estimated SOC data of the electric vehicle during charging, battery pack temperature data of the electric vehicle during charging, and attribute information of the electric vehicle. The energy metering data includes at least: the energy metering value of the charging pile during the charging process of the electric vehicle. An interactive metering database is constructed based on the topological association between the electric vehicle and the charging pile and the interactive metering data.

[0011] Optionally, after constructing the interactive metering database based on the topological relationship between the electric vehicle and the charging pile and the interactive metering data, the method further includes: extracting battery pack temperature data of the same electric vehicle during each charging process, and calculating the average battery pack temperature of the electric vehicle during each charging process based on the battery pack temperature data; calculating the average battery pack temperature of the electric vehicle during multiple charging processes based on the average battery pack temperature of the electric vehicle during each charging process; and filtering the interactive metering data of the electric vehicle based on the difference between the average battery pack temperature of the electric vehicle during each charging process and the average battery pack temperature, wherein if the difference between the average battery pack temperature of the electric vehicle during one charging process and the average battery pack temperature is greater than an error value, the interactive metering data of the electric vehicle during that charging process is removed from the interactive metering database.

[0012] Optionally, after constructing an interactive metering database based on the topological relationship between the electric vehicle and the charging pile and the interactive metering data, the method further includes: extracting the charging current data from the interactive metering data during the charging process of the electric vehicle at the charging pile; dividing the charging process of the electric vehicle based on the charging current data to obtain N charging sub-processes, where N is a positive integer; and dividing the interactive metering data based on the N charging sub-processes to obtain the interactive metering data of each of the charging sub-processes of the electric vehicle at the charging pile.

[0013] Optionally, after constructing an interactive metering database based on the topological association between electric vehicles and charging piles and the interactive metering data, the method further includes: obtaining the topological association between the same electric vehicle and different charging piles; when the same electric vehicle has a topological association with M different charging piles, obtaining the interactive metering data of the electric vehicle during the charging process of the M charging piles, where M is a positive integer greater than 2; calculating the metering error between every two charging piles in the M charging piles based on the interactive metering data to obtain a metering error set for the M charging piles; when all metering errors in the metering error set are less than a metering error threshold, selecting the M charging piles as the reference charging piles; for each reference charging pile, using the reference charging pile as the starting point of the charging pile chain, and constructing the charging pile chain based on the topological association between the electric vehicle and the charging pile, wherein the number of charging piles in the charging pile chain is less than or equal to a pre-set charging pile number threshold, and there are no duplicate charging piles in the charging pile chain.

[0014] Optionally, the interactive metering database adopts a chained record storage method. The interactive metering database contains multiple chained data blocks. Each data block stores at least the interactive metering data of the charging pile, the energy metering performance evaluation data, the encrypted hash value of the previous data block, the timestamp, and the write record. The previous data block refers to the data block that is adjacent to the current data block and whose timestamp is earlier than the current data block.

[0015] According to another aspect of the present invention, an energy metering performance evaluation device for a charging pile is also provided, comprising: a determining unit, configured to determine a target charging pile to be evaluated and obtain identification information of the target charging pile; an obtaining unit, configured to determine the charging pile chain in which the target charging pile is located based on the identification information, and obtain a target associated charging pile corresponding to the target charging pile on the charging pile chain and a reference charging pile on the charging pile chain, wherein the target charging pile and the target associated charging pile have a topological association relationship with the same electric vehicle; a querying unit, configured to query an interactive metering database based on the target charging pile, the target associated charging pile, and the reference charging pile to obtain first interactive metering data of the target charging pile, second interactive metering data of the target associated charging pile, and reference interactive metering data of the reference charging pile; and a calculation unit, configured to calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and evaluate the energy metering performance of the target charging pile based on the metering error of the target charging pile.

[0016] Optionally, the calculation unit includes: a first acquisition module, configured to acquire the metering error of the target associated charging pile when the target associated charging pile is the reference charging pile on the charging pile chain, wherein, when the target associated charging pile is the reference charging pile on the charging pile chain, the metering error of the target associated charging pile is the reference metering error of the reference charging pile, and the reference metering error is predetermined; a first extraction module, configured to extract the charging current and battery pack temperature in each first charging sub-process from the first interactive metering data, and extract the charging current and battery pack temperature in each second charging sub-process from the second metering data of the target associated charging pile; and a second acquisition module, configured to acquire the first charging sub-process and the second charging sub-process matching the target charging pile and the target associated charging pile based on the charging current and battery pack temperature in each first charging sub-process and the charging current and battery pack temperature in each second charging sub-process. The process includes a first charging sub-process and a second charging sub-process for obtaining the matching of the target charging pile and the target associated charging pile, which are implemented based on pre-configured matching conditions. The matching conditions include: the battery pack temperature difference between the first charging sub-process and the second charging sub-process is less than a temperature difference threshold, and the charging current difference between the first charging sub-process and the second charging sub-process is less than a charging current difference threshold. A second extraction module is used to extract the SOC estimate and energy metering value of the first charging sub-process corresponding to the target charging pile from the first interactive metering data, and to extract the SOC estimate and energy metering value of the second charging sub-process corresponding to the target associated charging pile from the second interactive metering data. A first calculation module is used to calculate the metering error of the target charging pile based on the SOC estimate and energy metering value of the first charging sub-process, the SOC estimate and energy metering value of the second charging sub-process, and the metering error of the target associated charging pile.

[0017] Optionally, the calculation unit further includes: a third acquisition module, used in step one, to acquire the reference metering error of the reference charging pile when the associated charging pile is not the reference charging pile in the charging pile chain; a second calculation module, used in step two, to determine the associated charging pile corresponding to the reference charging pile, acquire the charging sub-process matched between the reference charging pile and the associated charging pile, and calculate the metering error of the associated charging pile based on the SOC estimate and energy metering value of the reference charging pile in the matched charging sub-process, the SOC estimate and energy metering value of the associated charging pile in the matched charging sub-process, and the reference metering error of the reference charging pile in the reference interactive metering data, and to use the associated charging pile with the calculated metering error as a new reference charging pile; and a first repetition module, used to repeat step two until the metering error of the target associated charging pile is calculated, and to calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the metering error of the target associated charging pile.

[0018] Optionally, the power metering performance evaluation device for the charging pile further includes: a first establishment module, used to establish a topological association between the electric vehicle and the charging pile during the charging process of the electric vehicle, and acquire the charging data of the electric vehicle and the power metering data of the charging pile to obtain interactive metering data of the electric vehicle during the charging process of the charging pile, wherein the charging data includes at least one of the following: charging current data of the electric vehicle during the charging process, SOC estimated value data of the electric vehicle during the charging process, battery pack temperature data of the electric vehicle during the charging process, and attribute information of the electric vehicle, and the power metering data includes at least: the power metering value of the charging pile during the charging process of the electric vehicle; and a first construction module, used to construct an interactive metering database based on the topological association between the electric vehicle and the charging pile and the interactive metering data.

[0019] Optionally, the power metering performance evaluation device for the charging pile further includes: a third extraction module, used to extract battery pack temperature data of the same electric vehicle during each charging process, and calculate the average battery pack temperature of the electric vehicle during each charging process based on the battery pack temperature data; a third calculation module, used to calculate the average battery pack temperature of the electric vehicle during multiple charging processes based on the average battery pack temperature of the electric vehicle during each charging process; and a first filtering module, used to filter the interactive metering data of the electric vehicle based on the difference between the average battery pack temperature of the electric vehicle during each charging process and the average battery pack temperature, wherein if the difference between the average battery pack temperature of the electric vehicle during one charging process and the average battery pack temperature is greater than an error value, the interactive metering data of the electric vehicle during that charging process is removed from the interactive metering database.

[0020] Optionally, the power metering performance evaluation device for the charging pile further includes: a fourth extraction module, used to extract the charging current data from the interactive metering data of the electric vehicle during the charging process of the charging pile; a first division module, used to divide the charging process of the electric vehicle based on the charging current data to obtain N charging sub-processes, where N is a positive integer; and a second division module, used to divide the interactive metering data based on the N charging sub-processes to obtain the interactive metering data of each charging sub-process of the electric vehicle on the charging pile.

[0021] Optionally, the power metering performance evaluation device for the charging pile further includes: a fourth acquisition module, used to acquire the topological association relationship between the same electric vehicle and different charging piles, and when the same electric vehicle has a topological association relationship with M different charging piles, to acquire the interactive metering data of the electric vehicle during the charging process of the M charging piles, where M is a positive integer greater than 2; a fourth calculation module, used to calculate the metering error of every two charging piles in the M charging piles based on the interactive metering data, to obtain a metering error set of the M charging piles; a first selection module, used to select the M charging piles as the reference charging piles when all the metering errors in the metering error set are less than the metering error threshold; and a second construction module, used to, for each reference charging pile, use the reference charging pile as the starting point of the charging pile chain, and construct the charging pile chain based on the topological association relationship between the electric vehicle and the charging pile, wherein the number of charging piles in the charging pile chain is less than or equal to a preset charging pile number threshold, and there are no duplicate charging piles in the charging pile chain.

[0022] Optionally, the interactive metering database adopts a chained record storage method. The interactive metering database contains multiple chained data blocks. Each data block stores at least the interactive metering data of the charging pile, the energy metering performance evaluation data, the encrypted hash value of the previous data block, the timestamp, and the write record. The previous data block refers to the data block that is adjacent to the current data block and whose timestamp is earlier than the current data block.

[0023] According to another aspect of the present invention, an electronic device is also provided, including one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any of the above-described methods for evaluating the energy metering performance of charging piles.

[0024] In this application, the following steps are taken: First, the target charging pile to be evaluated is determined, the identification information of the target charging pile is obtained, and the charging pile chain to which the target charging pile belongs is determined based on the identification information. Then, the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile are obtained. The target charging pile and the target associated charging pile have a topological relationship with the same electric vehicle. Then, the interactive metering database is queried based on the target charging pile, the target associated charging pile, and the reference charging pile to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile, and the reference interactive metering data of the reference charging pile. Finally, the metering error of the target charging pile is calculated based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and the energy metering performance of the target charging pile is evaluated based on the metering error of the target charging pile.

[0025] In this application, when evaluating the energy metering performance of charging piles, the relative metering error is calculated by considering the associated charging piles in the charging pile chain. Then, the metering error of the target charging pile is calculated by considering the reference metering error of the reference charging pile and the relative metering error between each associated charging pile. This is then used to evaluate the energy metering performance of the target charging pile, achieving the goal of remotely measuring the metering performance of charging piles. This improves the efficiency of evaluating the metering performance of charging piles and solves the technical problem that the method of verifying the metering performance of charging piles based on on-site verification is inefficient in related technologies. Attached Figure Description

[0026] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0027] Figure 1This is a flowchart of an optional method for evaluating the energy metering performance of a charging pile according to an embodiment of the present invention;

[0028] Figure 2 This is a schematic diagram of an optional power metering performance evaluation process for a charging pile according to an embodiment of the present invention;

[0029] Figure 3 This is a schematic diagram of an optional charging pile power metering performance evaluation principle according to an embodiment of the present invention;

[0030] Figure 4 This is a schematic diagram of an optional power metering performance evaluation device for a charging pile according to an embodiment of the present invention;

[0031] Figure 5 This is a hardware structure block diagram of an electronic device (or mobile device) for evaluating the power metering performance of a charging pile according to an embodiment of the present invention. Detailed Implementation

[0032] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0034] It should be noted that the charging pile power metering performance evaluation method and device in this application can be used in the field of new energy technology to evaluate the power performance of charging piles based on vehicle-pile interaction, and can also be used in any field other than the field of new energy technology to evaluate the power performance of charging piles based on vehicle-pile interaction. This application does not limit the application field of the charging pile power metering performance evaluation method and device.

[0035] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, and displayed data) involved in this application are information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, storage, use, processing, transmission, provision, disclosure, and application of such data all comply with the relevant laws, regulations, and standards of the relevant regions, necessary confidentiality measures have been taken, and they do not violate public order and good morals. Corresponding operation entry points are provided for users to choose to authorize or refuse. For example, this system has interfaces with relevant users or organizations. Before obtaining relevant information, a request to obtain the information needs to be sent to the aforementioned user or organization through the interface, and the relevant information is obtained only after receiving consent from the aforementioned user or organization.

[0036] It should be noted that in this application, when collecting and analyzing customer information, users are provided with corresponding operation entry points to choose whether to agree to or reject the automated decision-making results; if the user chooses to reject, the process will proceed to the expert decision-making process.

[0037] The following embodiments of the present invention can be applied to various charging pile energy metering performance evaluation systems / applications / equipment. The present invention constructs an interactive metering database through vehicle-charging pile interactive metering data, builds a charging pile chain through massive amounts of interactive metering data, and performs remote evaluation of the charging pile energy metering performance based on the charging pile chain, thereby achieving efficient evaluation of charging pile metering performance while ensuring the accuracy of the evaluation results.

[0038] The present invention will now be described in detail with reference to various embodiments.

[0039] Example 1

[0040] According to an embodiment of the present invention, an embodiment of a method for evaluating the electricity metering performance of a charging pile is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0041] Figure 1 This is a flowchart of an optional method for evaluating the energy metering performance of a charging pile according to an embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0042] Optionally, before determining the target charging pile to be evaluated, the method further includes: establishing a topological relationship between the electric vehicle and the charging pile during the electric vehicle charging process, and acquiring the charging data of the electric vehicle and the power metering data of the charging pile to obtain interactive metering data of the electric vehicle during the charging process. The charging data includes at least one of the following: charging current data of the electric vehicle during the charging process, SOC estimation data of the electric vehicle during the charging process, battery pack temperature data of the electric vehicle during the charging process, and attribute information of the electric vehicle. The power metering data includes at least the power metering value of the charging pile during the charging process of the electric vehicle. An interactive metering database is constructed based on the topological relationship between the electric vehicle and the charging pile and the interactive metering data.

[0043] It should be noted that this embodiment of the invention establishes a connection between the electric vehicle and the charging station based on the charging events of the electric vehicle, thereby constructing an interactive metering database. When the electric vehicle is charging at a charging station, it establishes communication through the on-board battery management system (BMS) and interacts according to relevant protocols to establish a topological association between the electric vehicle and the charging station, exchanging key information including charging current, state of charge (SOC), battery pack temperature, etc. This information is not only used for real-time monitoring of the charging process, but also serves as an important basis for evaluating the energy metering performance of the charging station.

[0044] Acquiring charging data involves a series of dynamic parameters of electric vehicles during the charging process, including but not limited to real-time charging current data, estimated state of charge (SOC) data, and battery pack temperature data. It also includes basic attribute information of the electric vehicle, such as model and vehicle identification. The charging station records the electrical energy metering value during the charging process, i.e., the actual electrical energy supplied to the electric vehicle. This data collection is accomplished through real-time communication between the charging station and the electric vehicle, ensuring data accuracy and timeliness.

[0045] The generation of interactive metering data involves combining the energy metering values ​​of charging piles with the charging data of electric vehicles to form a complete record of a charging event. An interactive metering database is constructed based on the topological relationship between electric vehicles and charging piles, and the interactive metering data corresponding to each charging event. This database is built upon the topological relationship between electric vehicles and charging piles; each record is associated with a specific electric vehicle and charging pile, along with detailed data during the charging process. The construction of this database provides the data foundation for subsequent remote energy metering performance evaluation, enabling the evaluation system to remotely analyze the metering performance of charging piles based on charging event data without on-site verification.

[0046] Before evaluating the energy metering performance of the target charging pile, establishing the topological relationship between the electric vehicle and the charging pile, as well as collecting and integrating the interactive metering data during the charging process, provides the necessary data preparation for subsequent remote evaluation.

[0047] Optionally, the interactive metering database adopts a chained record storage method. The interactive metering database contains multiple chained data blocks. Each data block stores at least the interactive metering data of the charging pile, the energy metering performance evaluation data, the encrypted hash value of the previous data block, the timestamp, and the write record. The previous data block refers to the data block that is adjacent to the current data block and whose timestamp is earlier than the current data block.

[0048] It should be noted that, in this embodiment of the invention, data storage adopts a chain-record method. Multiple chain-connected data blocks are used in the interactive metering database. Each data block can represent a charging event or a charging pile. Each data block stores the power metering data of the charging pile and the power metering performance evaluation data after the power metering performance evaluation of the charging pile. At the same time, each data block contains the encrypted hash value, timestamp, and write record of the previous data block, ensuring that all data is retained in each data block, preventing data forgery and tampering, and enhancing data security.

[0049] Optionally, after constructing the interactive metering database based on the topological relationship and interactive metering data between electric vehicles and charging piles, the method further includes: extracting battery pack temperature data of the same electric vehicle during each charging process, and calculating the average battery pack temperature of the electric vehicle during each charging process based on the battery pack temperature data; calculating the average battery pack temperature of the electric vehicle during multiple charging processes based on the average battery pack temperature of the electric vehicle during each charging process; and filtering the interactive metering data of the electric vehicle based on the difference between the average battery pack temperature of the electric vehicle during each charging process and the average battery pack temperature, wherein if the difference between the average battery pack temperature of the electric vehicle during a single charging process and the average battery pack temperature is greater than the error value, the interactive metering data of the electric vehicle during that charging process is removed from the interactive metering database.

[0050] It should be noted that not all the interactive metering data collected in real time can be used to evaluate the energy metering performance of charging piles. Data in the interactive metering database needs to be screened to ensure the high quality and reliability of the data used for energy metering performance evaluation. Since battery temperature has a significant impact on energy metering and SOC estimation, temperature changes may lead to inaccurate data. Therefore, this application embodiment will remove charging data with large deviations in battery pack temperature. Specifically, this includes: extracting battery pack temperature data; from the interactive metering database, for the same electric vehicle with multiple charging records, obtaining the highest and lowest individual battery cell temperatures during each charging process to obtain battery pack temperature data; calculating the average battery pack temperature based on the highest individual battery cell temperature... The average battery pack temperature of an electric vehicle during a single charge is calculated based on the minimum individual battery cell temperature. Then, based on the average battery pack temperature during each charge, the average battery pack temperature over multiple charge cycles is calculated. The average battery pack temperature during each charge cycle is compared with the average battery pack temperature over multiple charge cycles to determine if the difference between the average battery pack temperature and the average battery pack temperature is within a set threshold range. If the difference is within the threshold range, it indicates that there are no data points with excessively large temperature deviations in the charging data of the electric vehicle. If the difference is not within the threshold range, the charging data with the largest difference from the average battery pack temperature is first removed, and then the above operation is repeated until the difference between the average battery pack temperature and the average battery pack temperature of all battery packs in the electric vehicle is within the preset range.

[0051] In another optional embodiment, when preprocessing the interactive metering data in the interactive metering database, the method further includes: selecting an evaluation period, retaining the metering interactive data of electric vehicles within the evaluation period, and removing the interactive metering data of electric vehicles outside the evaluation period. By setting an evaluation period, the problem of inaccurate charging data caused by large changes in the capacity of the on-board battery pack can be avoided.

[0052] In another optional embodiment, when preprocessing the interactive metering data in the interactive metering database, the method further includes: removing interactive metering data whose real-time SOC estimate during charging is less than the minimum SOC value and greater than the maximum SOC value, so as to avoid the problem of inaccurate SOC estimate due to the vehicle battery pack capacity being too high or too low.

[0053] Optionally, after constructing an interactive metering database based on the topological relationship and interactive metering data between electric vehicles and charging piles, the method further includes: extracting charging current data from the interactive metering data during the charging process of electric vehicles at charging piles; dividing the charging process of electric vehicles based on the charging current data to obtain N charging sub-processes, where N is a positive integer; and dividing the interactive metering data based on the N charging sub-processes to obtain the interactive metering data of each charging sub-process of electric vehicles at charging piles.

[0054] It should be noted that the charging current of the same electric vehicle may vary at different times during the charging process. In order to reduce the difference in performance evaluation caused by the difference in charging current, this embodiment of the invention adopts the method of dividing the charging sub-process to further segment and store the interactive metering data. Specifically, for the processed interactive metering data, the charging current data of the electric vehicle is extracted. The charging current data includes the current value of the electric vehicle at various times during the charging process. According to the different current values ​​in the charging current data, the entire charging process of the electric vehicle is divided into N charging sub-processes, and the interactive metering data is segmented and stored according to the charging sub-processes.

[0055] Optionally, after constructing an interactive metering database based on the topological association between electric vehicles and charging piles and interactive metering data, the method further includes: obtaining the topological association between the same electric vehicle and different charging piles; when the same electric vehicle has a topological association with M different charging piles, obtaining interactive metering data of the electric vehicle during the charging process of the M charging piles, where M is a positive integer greater than 2; calculating the metering error between every two charging piles in the M charging piles based on the interactive metering data, obtaining a set of metering errors for the M charging piles; selecting the M charging piles as reference charging piles when all metering errors in the set are less than the metering error threshold; for each reference charging pile, using the reference charging pile as the starting point of the charging pile chain, and constructing the charging pile chain based on the topological association between the electric vehicle and the charging pile, wherein the number of charging piles in the charging pile chain is less than or equal to a pre-set charging pile number threshold, and there are no duplicate charging piles in the charging pile chain.

[0056] It should be noted that after establishing an interactive metering database between electric vehicles and charging piles, a charging pile chain can be built based on the relationship between charging piles, vehicles, and charging piles. This links multiple charging piles together, allowing for the evaluation of the metering performance of a massive number of charging piles by calculating relative errors. Specifically, when constructing the charging pile chain, a reference charging pile is first determined, and the topological association between the same electric vehicle and different charging piles is obtained. If the same electric vehicle is charged at multiple charging piles, it can be determined that there is a topological association between that electric vehicle and multiple charging piles. Based on the M charging piles with topological associations obtained, the metering performance can be further evaluated. M interactive metering data are used to calculate the metering error between each pair of charging piles, thus obtaining a set of metering errors corresponding to M charging piles. If all metering error values ​​in the set are less than a preset metering error threshold, it indicates that the M electricity metering errors are similar, and these M charging piles can be selected as reference charging piles. Then, the charging pile chain is expanded using the M reference charging piles as the starting point, until the number of charging piles in the chain reaches the number threshold, or the first duplicate charging pile appears in the chain. At this point, the expansion of the charging pile chain ends, and the completed charging pile chain is obtained.

[0057] It should be noted that, in order to avoid calculation conflicts, duplicate charging stations cannot appear on the charging station chain.

[0058] In this embodiment of the invention, a relative metering error calculation method is used to determine the reference charging pile during construction. This eliminates the need for on-site measurement and selection, saving significant resources. When calculating the metering error between each pair of charging piles based on interactive metering data, the M charging piles are first paired to obtain charging pile combinations. Then, for each pair of charging piles in a combination, a charging sub-process is selected where the charging currents of the two piles are similar (the difference in charging current between the two piles is less than the current error) and the battery pack temperatures are similar (the battery pack temperatures of the two piles are less than the temperature error). This results in a matching sub-process for the two charging piles. The interactive metering data of the matching sub-processes for each pair of charging piles are selected. The metering error between the two charging piles in the combination is calculated based on the SOC estimate and energy metering value of the interactive metering data. This process is repeated for all M charging pile combinations to obtain a set of metering errors.

[0059] Step S101: Identify the target charging pile to be evaluated and obtain the identification information of the target charging pile.

[0060] It should be noted that when conducting real-time evaluation of charging piles, the target charging pile to be evaluated is selected, and the identification information of the target charging pile is obtained. The identification information can be numbers, letters, Chinese characters, or a combination of numbers, letters, and Chinese characters. It is defined by the user when the charging pile is installed and is used to distinguish different charging piles.

[0061] Step S102: Determine the charging pile chain where the target charging pile is located based on the identification information, and obtain the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile.

[0062] It should be noted that the charging pile chain to which the target charging pile belongs can be located based on the identification information of the target charging pile. This allows the acquisition of the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile. The energy metering error of the reference charging pile is determined, i.e., the reference metering error. Based on the reference metering error and the relationship between the reference charging pile and other charging piles, the metering error of each charging pile on the charging pile chain can be calculated, which is then used to evaluate the energy metering performance of the charging pile. The target charging pile and the target associated charging pile have a topological relationship with the same electric vehicle.

[0063] Step S103: Based on the target charging pile, the target associated charging pile, and the reference charging pile, query the interactive metering database to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile, and the reference interactive metering data of the reference charging pile.

[0064] It should be noted that after determining the target associated charging pile and the reference charging pile corresponding to the target charging pile, the pre-built interactive metering database is queried. The metering error of the target charging pile is calculated by using the interactive metering data of the target charging pile (i.e., the first interactive metering data), the interactive metering data of the target associated charging pile (i.e., the second interactive metering data), and the interactive metering data of the reference charging pile, thereby evaluating the performance of the target charging pile.

[0065] Step S104: Calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and evaluate the energy metering performance of the target charging pile based on the metering error of the target charging pile.

[0066] Optionally, the step of calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data includes: when the target associated charging pile is a reference charging pile in the charging pile chain, obtaining the metering error of the target associated charging pile, wherein, when the target associated charging pile is a reference charging pile in the charging pile chain, the metering error of the target associated charging pile is the reference metering error of the reference charging pile, and the reference metering error is predetermined; extracting the charging current and battery pack temperature in each first charging sub-process from the first interactive metering data, and extracting the charging current and battery pack temperature in each second charging sub-process from the second metering data of the target associated charging pile; obtaining the target charging pile and the target associated charging pile based on the charging current and battery pack temperature in each first charging sub-process and the charging current and battery pack temperature in each second charging sub-process. The matching of the first and second charging sub-processes, wherein the acquisition of the first and second charging sub-processes matching the target charging pile and the target associated charging pile is achieved based on pre-configured matching conditions, including: the battery pack temperature difference between the first and second charging sub-processes is less than a temperature difference threshold and the charging current difference between the first and second charging sub-processes is less than a charging current difference threshold; extracting the SOC estimate and energy metering value of the first charging sub-process corresponding to the target charging pile from the first interactive metering data, and extracting the SOC estimate and energy metering value of the second charging sub-process corresponding to the target associated charging pile from the second interactive metering data; calculating the metering error of the target charging pile based on the SOC estimate and energy metering value of the first charging sub-process, the SOC estimate and energy metering value of the second charging sub-process, and the metering error of the target associated charging pile.

[0067] It should be noted that the metering error of the reference charging pile in the charging pile chain is fixed. The metering errors of the other charging piles are calculated using the metering error of the reference charging pile and the interactive metering data of the charging piles. When calculating the target charging pile, there must be at least one target associated charging pile in the charging pile chain. The target charging pile and the target associated charging pile have the same electric vehicle charging record. That is, the target charging pile and the target associated charging pile have established a topological association through the same electric vehicle. If the target associated charging pile is the reference charging pile, and the metering error of the target associated charging pile is already determined, which is the reference association error, then the metering error of the target charging pile can be calculated based on the metering error of the target associated charging pile, the interactive metering data, and the interactive metering data of the target charging pile.

[0068] Specifically, when calculating the metering error of the target charging pile, it is first necessary to determine the matching charging sub-processes of the target charging pile and the associated target charging pile. Matching charging sub-processes refer to the two charging sub-processes in which the vehicle battery pack temperature and charging current are similar. Therefore, it is first necessary to extract the charging current and battery pack temperature of each first charging sub-process from the first interactive metering data. The first charging sub-process refers to the charging sub-process of the target charging pile. Then, the charging current and battery pack temperature of each second charging sub-process are extracted from the second interactive metering data. Finally, the charging current and battery pack temperature of each first charging sub-process and each second charging sub-process are compared. The charging current and battery pack temperature of the charging sub-process are calculated by difference. That is, the first charging sub-process and the second charging sub-process are combined in pairs, and the current difference and temperature difference of the combined sub-process are calculated. Then, the combined sub-process with the current difference and temperature difference less than a preset threshold is selected to obtain the matched first charging sub-process and second charging sub-process. Then, the SOC estimate and energy estimate of the successfully matched first charging sub-process are selected, and the SOC estimate and energy metering value of the successfully matched second charging sub-process are selected. The metering error of the target charging pile is calculated based on the SOC estimate, energy estimate and metering error of the target associated charging pile.

[0069] Optionally, the step of calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data includes: Step 1, when the associated charging pile is not a reference charging pile in the charging pile chain, obtaining the reference metering error of the reference charging pile; Step 2, determining the associated charging pile corresponding to the reference charging pile, obtaining the charging sub-process matched between the reference charging pile and the associated charging pile, and calculating the metering error of the associated charging pile based on the SOC estimate and energy metering value of the reference charging pile in the matched charging sub-process, the SOC estimate and energy metering value of the associated charging pile in the matched charging sub-process, and the reference metering error of the reference charging pile, and using the associated charging pile with the calculated metering error as the new reference charging pile; repeating Step 2 until the metering error of the target associated charging pile is calculated, and calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the metering error of the target associated charging pile.

[0070] It should be noted that if the target associated charging pile is not the reference charging pile, the metering error of the target associated charging pile is also unknown. Therefore, only the relative error between the target charging pile and the target associated charging pile can be calculated. Thus, it is necessary to calculate the error using the reference metering error of the reference charging pile. Specifically, the associated charging pile corresponding to the reference charging pile is determined, that is, the reference charging pile and the corresponding associated charging pile have a topological relationship with the same electric vehicle. The charging sub-process that matches the reference charging pile and the associated charging pile is selected, and the SOC estimate and energy metering value of the matched charging sub-process are obtained. The metering error of the associated charging pile is calculated using the SOC estimate, energy metering value, and reference metering error. Then, the associated charging pile with the calculated metering error is used as a temporary reference charging pile. The metering error of the next associated charging pile is calculated based on this temporary reference charging pile, and so on, until the metering error of the target associated charging pile is calculated. Then, the metering error of the target charging pile is calculated based on the metering error of the target associated charging pile. The calculation process is the same as when the target associated charging pile is the reference charging pile.

[0071] Through the above steps, the target charging pile to be evaluated is first identified, its identification information is obtained, and the charging pile chain to which the target charging pile belongs is determined based on the identification information. The associated target charging piles and reference charging piles on the charging pile chain corresponding to the target charging pile are also obtained. The target charging pile and associated target charging piles have a topological relationship with the same electric vehicle. Then, based on the target charging pile, associated target charging piles, and reference charging piles, the interactive metering database is queried to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the associated target charging pile, and the reference interactive metering data of the reference charging pile. Finally, the metering error of the target charging pile is calculated based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and the energy metering performance of the target charging pile is evaluated based on the metering error.

[0072] In this embodiment, when evaluating the energy metering performance of a charging pile, the relative metering error is calculated by considering the associated charging piles in the charging pile chain. Then, the metering error of the target charging pile is calculated by considering the reference metering error of the reference charging pile and the relative metering error between each associated charging pile. This is then used to evaluate the energy metering performance of the target charging pile, achieving the goal of remotely measuring the metering performance of the charging pile. This improves the efficiency of the charging pile metering performance evaluation and solves the technical problem that the method of verifying the metering performance of charging piles based on on-site verification is inefficient in related technologies.

[0073] The following describes in detail another optional implementation method.

[0074] Figure 2This is a schematic diagram of an optional power metering performance evaluation process for a charging pile according to an embodiment of the present invention, as shown below. Figure 2 As shown, the electricity metering process for charging piles includes:

[0075] Step 1, Begin;

[0076] First, the principle of energy metering performance evaluation in this embodiment of the invention is introduced. During the charging process of an electric vehicle, the on-board battery management system (BMS) measures the charging current and the terminal voltage of each individual battery cell in real time. Furthermore, based on the voltage and current measurements, the State of Charge (SOC) value of the on-board battery pack is estimated, yielding an estimated SOC value. Simultaneously, the BMS can upload data such as charging current, on-board battery pack terminal voltage, and estimated SOC value to the charging pile's battery management system. Based on this, the battery management system can be used as a tool for transferring measurement values ​​between charging piles, thereby establishing a pile-to-pile comparison chain. Specifically,

[0077] During the charging process, the product of the change in SOC and the capacity of the vehicle's battery pack can be used as the metered value of the charging energy. Assuming an electric vehicle is charging at charging station 1, the metered value of the energy at charging station 1 is... The change in the estimated SOC of the vehicle battery pack is Then, the capacity of the on-board battery pack supplied to the electric vehicle through charging pile 1 is:

[0078]

[0079] Therefore, when the electric vehicle is charging at charging station 2, a topological association is established between charging station 1 and charging station 2 through the electric vehicle. Assume that during the charging process at charging station 2, the changes in the energy metering value and the estimated SOC value of the on-board battery pack at charging station 2 are respectively... and Then the energy metering error of charging pile 2 relative to charging pile 1 is:

[0080]

[0081] This established a correlation between the metering errors of the two charging piles. Based on this, and using the pile-to-pile topology established from the vehicle-to-pile interactive metering data, multiple pile-to-pile comparison chains can be established to achieve remote evaluation of the charging pile metering performance.

[0082] Figure 3 This is a schematic diagram illustrating the energy metering performance evaluation principle of an optional charging pile according to an embodiment of the present invention, such as... Figure 3 As shown, between charging stations ( Figure 3(Charging pile 1 and charging pile 2 are used as illustrations) A connection can be established through the same electric vehicle. Charging piles that have a topological connection with the same electric vehicle can form two interconnected charging piles on the charging pile chain. Thus, a pile-to-pile comparison chain, i.e., a charging pile chain, can be established through the connection between every two charging piles.

[0083] Step 2: Based on the electric vehicle charging order information, construct the vehicle-charging pile topology relationship and establish a vehicle-charging pile interactive metering database;

[0084] The interactive metering database adopts a chain-recorded method, using multiple chain-connected data blocks. The data blocks of the charging piles store the electricity metering data and the electricity metering performance evaluation data after the electricity metering performance evaluation of the charging piles. Each data block contains the encrypted hash value, timestamp, and write record of the previous data block, ensuring that all data is retained in each data block and preventing data forgery and tampering.

[0085] During the charging process of an electric vehicle at a DC charging station, the on-board BMS system will transmit charging data messages to the DC charging station according to relevant protocols. The message content includes the estimated SOC value, battery pack temperature, vehicle attribute information, etc. Combined with the power metering data of the charging station, an interactive metering database between the electric vehicle and the charging station can be constructed.

[0086] Step 3: Preprocess vehicle-to-charging pile interactive metering data and filter electric vehicle charging data with stable power metering performance;

[0087] The preprocessing of vehicle-to-charging pile interactive metering data aims to filter out charging data of electric vehicles with stable energy metering performance from complex field-collected data. The data processing steps include:

[0088] a) Determine the time frame for the charging data used in the evaluation, usually within two months, to avoid significant changes in the capacity of the vehicle battery pack;

[0089] b) Remove charging data where the estimated SOC is less than 5% or greater than 95% during the charging process to avoid inaccurate SOC estimates due to excessively high or low vehicle battery pack capacity.

[0090] c) Eliminating charging data with significant battery pack temperature deviations: During electric vehicle charging, the on-board battery management system needs to provide the DC charging station with the highest and lowest individual battery cell temperatures. The average of these temperatures is used as the average temperature of the electric vehicle's on-board battery pack. Then, for the same electric vehicle, charging data with excessively large temperature deviations is filtered out. Specifically, assuming that the average temperature of the on-board battery pack (corresponding to the aforementioned average battery pack temperature) of an electric vehicle during charging at different times is: T1, T2, T3…T… mFirst, the average temperature value is calculated based on the aforementioned average battery pack temperature, and it is determined whether the difference between the average temperature of all batteries and the average temperature value is within the set threshold range. If the aforementioned condition is met, it indicates that there is no data with excessive temperature deviation in the charging data of the electric vehicle. If the aforementioned condition is not met, the charging data with the largest difference from the average temperature is first removed, and then the aforementioned operation is repeated until the aforementioned condition is met.

[0091] d) For the same electric vehicle, the charging data is divided into multiple charging data segments according to the charging current (corresponding to the charging sub-processes mentioned above). In subsequent data processing and evaluation, the charging data segment is used as the smallest unit.

[0092] e) Eliminate charging data segments with a SOC change of less than 20% to reduce the impact of SOC estimation quantification error. For example, if an electric vehicle is charged for only three minutes at a charging station, the SOC change is too small to facilitate performance evaluation.

[0093] f), evaluate the stability of electric vehicle energy metering performance, and remove electric vehicle charging data with poor energy metering performance stability; use the charging data segments of electric vehicles and the same charging pile to evaluate the stability of electric vehicle energy metering performance. Assume that within the selected time range, the charging data segment of the electric vehicle being evaluated on a certain charging pile is m segments, and the charging currents are all similar. The interactive metering data in the charging data segments are shown in Table 1.

[0094] Table 1 Charging process data

[0095]

[0096] First, assume that the capacity of the electric vehicle's onboard battery pack is... E d If the energy metering performance on the electric vehicle side is stable, then E d The following inequalities should be satisfied:

[0097] ; ;

[0098] And so on,

[0099] ;

[0100] Based on the above inequalities, electric vehicles with unstable energy metering performance can be screened out first. In addition, the impact of the quantization error of the SOC estimation value can be reduced.

[0101] Furthermore, repeatability can also be used as an evaluation index for the stability of electric vehicle energy metering. The formula for calculating the repeatability of the estimated capacity of the on-board battery pack of an electric vehicle is as follows:

[0102]

[0103] in, This represents the average of the estimated capacity of the vehicle battery pack. This represents the estimated battery pack capacity of an electric vehicle during its i-th charge at the same charging station, where n is the total number of times the electric vehicle is charged at the same charging station. A repeatability threshold is set; if the calculated repeatability value is less than the threshold, it indicates that the energy metering performance on the electric vehicle side is stable.

[0104] Step 4: Determine the reference charging station;

[0105] The aforementioned process only yields the relative metering error between charging stations. To obtain the true energy metering error of a charging station, a standard station (corresponding to the aforementioned reference charging station) needs to be determined. A standard station is a charging station whose energy metering error is known. The method for determining a standard station can be as follows:

[0106] a) Use vehicle-charging pile interactive metering data to determine the standard charging pile; based on field operation experience, the energy metering error of most charging piles in operation is within 2%. Therefore, this application assumes that when the same electric vehicle has charging records at 3 or more charging piles, and its energy metering error is close to 0, these 3 charging piles can be used as reference charging piles, and the metering error of the reference charging piles can be measured.

[0107] (b) The standard pile is determined by on-site verification. The working error of some charging piles is obtained through on-site verification and used as the standard pile. The uncertainty of the measurement error of the standard pile is set to 0.

[0108] Step 5: Construct a pile-to-pile comparison chain (i.e., a charging pile chain).

[0109] The starting pile of the pile-to-pile comparison chain is the standard pile. The ending conditions of the comparison chain are: 1) reaching the set longest chain; 2) the appearance of a standard pile other than the starting pile; and no duplicate charging piles can appear in a comparison chain.

[0110] Step 6: Calculate the metering error of the charging pile;

[0111] When determining the relative metering error between charging piles, the temperature and charging current of the vehicle battery packs are similar in the two charging data segments being compared.

[0112] Step 7: Evaluate the energy metering performance of the charging pile;

[0113] Assuming that charging pile 1 and charging pile 2 have established a topological association through electric vehicle A, the estimated capacity of the on-board battery pack is calculated based on the SOC estimate and energy metering data in the charging data segment of charging pile 1. The uncertainty is The estimated capacity of the vehicle battery pack, calculated based on the SOC estimate and energy metering data from the charging data segment of charging pile 2, is... The uncertainty is The metering error of charging pile 1 is The uncertainty is Then the metering error of charging pile 2 is:

[0114]

[0115] Step eight, end.

[0116] In this embodiment of the invention, the electric vehicle is given the power measurement function by using vehicle-charging pile interactive metering data and the state of charge (SOC estimate) given by the vehicle battery management system. Then, the vehicle-charging pile topology relationship and the charging pile-to-charging pile comparison chain are established. The remote evaluation of the power metering performance of the charging pile is realized by calculating the relative error between charging piles.

[0117] The following is a detailed description with reference to another embodiment.

[0118] Example 2

[0119] The power metering performance evaluation device for a charging pile provided in this embodiment includes multiple implementation units, each of which corresponds to a specific implementation step in the above embodiment one. The specific implementation method and beneficial effects can be referred to the aforementioned method embodiment, and will not be repeated here.

[0120] Figure 4 This is a schematic diagram of an optional charging pile power metering performance evaluation device according to an embodiment of the present invention, as shown below. Figure 4 As shown, the power metering performance evaluation device for the charging pile may include: a determining unit 41, an acquiring unit 42, a querying unit 43, and a calculating unit 44, wherein,

[0121] The determining unit 41 is used to determine the target charging pile to be evaluated and obtain the identification information of the target charging pile;

[0122] The acquisition unit 42 is used to determine the charging pile chain where the target charging pile is located based on the identification information, and to acquire the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile. The target charging pile and the target associated charging pile have a topological relationship with the same electric vehicle.

[0123] The query unit 43 is used to query the interactive metering database based on the target charging pile, the target associated charging pile and the reference charging pile to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile and the reference interactive metering data of the reference charging pile.

[0124] The calculation unit 44 is used to calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data and the reference interactive metering data, and to evaluate the power metering performance of the target charging pile based on the metering error of the target charging pile.

[0125] The aforementioned charging pile energy metering performance evaluation device determines the target charging pile to be evaluated through the determining unit 41 and obtains the identification information of the target charging pile; the obtaining unit 42 determines the charging pile chain where the target charging pile is located based on the identification information, and obtains the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile, wherein the target charging pile and the target associated charging pile have a topological association relationship with the same electric vehicle; the querying unit 43 queries the interactive metering database based on the target charging pile, the target associated charging pile, and the reference charging pile to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile, and the reference interactive metering data of the reference charging pile; the calculation unit 44 calculates the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and evaluates the energy metering performance of the target charging pile based on the metering error of the target charging pile.

[0126] In this embodiment, when evaluating the energy metering performance of a charging pile, the relative metering error is calculated by considering the associated charging piles in the charging pile chain. Then, the metering error of the target charging pile is calculated by considering the reference metering error of the reference charging pile and the relative metering error between each associated charging pile. This is then used to evaluate the energy metering performance of the target charging pile, achieving the goal of remotely measuring the metering performance of the charging pile. This improves the efficiency of the charging pile metering performance evaluation and solves the technical problem that the method of verifying the metering performance of charging piles based on on-site verification is inefficient in related technologies.

[0127] Optionally, the calculation unit 44 includes: a first acquisition module, used to acquire the metering error of the target associated charging pile when the target associated charging pile is a reference charging pile in the charging pile chain, wherein the metering error of the target associated charging pile is the reference metering error of the reference charging pile, and the reference metering error is predetermined; a first extraction module, used to extract the charging current and battery pack temperature in each first charging sub-process from the first interactive metering data, and to extract the charging current and battery pack temperature in each second charging sub-process from the second metering data of the target associated charging pile; and a second acquisition module, used to acquire the first charging sub-process and the second charging sub-process matching the target charging pile and the target associated charging pile based on the charging current and battery pack temperature in each first charging sub-process and the charging current and battery pack temperature in each second charging sub-process. The electronic process includes a first charging sub-process and a second charging sub-process for obtaining the matching of the target charging pile and the target associated charging pile, which are implemented based on pre-configured matching conditions. The matching conditions include: the battery pack temperature difference between the first charging sub-process and the second charging sub-process is less than a temperature difference threshold, and the charging current difference between the first charging sub-process and the second charging sub-process is less than a charging current difference threshold. A second extraction module is used to extract the SOC estimate and energy metering value of the first charging sub-process corresponding to the target charging pile from the first interactive metering data, and to extract the SOC estimate and energy metering value of the second charging sub-process corresponding to the target associated charging pile from the second interactive metering data. A first calculation module is used to calculate the metering error of the target charging pile based on the SOC estimate and energy metering value of the first charging sub-process, the SOC estimate and energy metering value of the second charging sub-process, and the metering error of the target associated charging pile.

[0128] Optionally, the calculation unit 44 further includes: a third acquisition module, used in step one, to acquire the reference metering error of the reference charging pile when the associated charging pile is not a reference charging pile in the charging pile chain; a second calculation module, used in step two, to determine the associated charging pile corresponding to the reference charging pile, acquire the charging sub-process matched between the reference charging pile and the associated charging pile, and calculate the metering error of the associated charging pile based on the SOC estimate and energy metering value of the reference charging pile in the matched charging sub-process, the SOC estimate and energy metering value of the associated charging pile in the matched charging sub-process, and the reference metering error of the reference charging pile, and use the associated charging pile with the calculated metering error as a new reference charging pile; and a first repetition module, used to repeat step two until the metering error of the target associated charging pile is calculated, and calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the metering error of the target associated charging pile.

[0129] Optionally, the charging pile's energy metering performance evaluation device further includes: a first establishment module, used to establish a topological association between the electric vehicle and the charging pile during the electric vehicle charging process, and acquire the charging data of the electric vehicle and the energy metering data of the charging pile to obtain interactive metering data of the electric vehicle during the charging process. The charging data includes at least one of the following: charging current data of the electric vehicle during the charging process, SOC estimation data of the electric vehicle during the charging process, battery pack temperature data of the electric vehicle during the charging process, and attribute information of the electric vehicle. The energy metering data includes at least: the energy metering value of the charging pile during the charging process of the electric vehicle; and a first construction module, used to construct an interactive metering database based on the topological association between the electric vehicle and the charging pile and the interactive metering data.

[0130] Optionally, the power metering performance evaluation device for the charging pile further includes: a third extraction module, used to extract battery pack temperature data of the same electric vehicle during each charging process, and calculate the average battery pack temperature of the electric vehicle during each charging process based on the battery pack temperature data; a third calculation module, used to calculate the average battery pack temperature of the electric vehicle during multiple charging processes based on the average battery pack temperature of the electric vehicle during each charging process; and a first filtering module, used to filter the interactive metering data of the electric vehicle based on the difference between the average battery pack temperature of the electric vehicle during each charging process and the average battery pack temperature, wherein if the difference between the average battery pack temperature of the electric vehicle during a single charging process and the average battery pack temperature is greater than the error value, the interactive metering data of the electric vehicle during that charging process is removed from the interactive metering database.

[0131] Optionally, the power metering performance evaluation device for the charging pile further includes: a fourth extraction module, used to extract charging current data from the interactive metering data of the electric vehicle during the charging process at the charging pile; a first division module, used to divide the charging process of the electric vehicle based on the charging current data to obtain N charging sub-processes, where N is a positive integer; and a second division module, used to divide the interactive metering data based on the N charging sub-processes to obtain the interactive metering data of each charging sub-process of the electric vehicle at the charging pile.

[0132] Optionally, the charging pile power metering performance evaluation device further includes: a fourth acquisition module, used to acquire the topological association relationship between the same electric vehicle and different charging piles, and in the case where the same electric vehicle has a topological association relationship with M different charging piles, to acquire the interactive metering data of the electric vehicle during the charging process of the M charging piles, where M is a positive integer greater than 2; a fourth calculation module, used to calculate the metering error of every two charging piles in the M charging piles based on the interactive metering data, to obtain the metering error set of the M charging piles; a first selection module, used to select the M charging piles as reference charging piles when all metering errors in the metering error set are less than the metering error threshold; and a second construction module, used to, for each reference charging pile, use the reference charging pile as the starting point of the charging pile chain, and construct the charging pile chain based on the topological association relationship between the electric vehicle and the charging pile, wherein the number of charging piles in the charging pile chain is less than or equal to a pre-set charging pile number threshold, and there are no duplicate charging piles in the charging pile chain.

[0133] Optionally, the interactive metering database adopts a chained record storage method. The interactive metering database contains multiple chained data blocks. Each data block stores at least the interactive metering data of the charging pile, the power metering performance evaluation data, the encrypted hash value of the previous data block, the timestamp, and the write record. The previous data block refers to the data block that is adjacent to the current data block and whose timestamp is earlier than the current data block.

[0134] The aforementioned power metering performance evaluation device for charging piles may also include a processor and a memory. The aforementioned determining unit 41, acquiring unit 42, querying unit 43, calculating unit 44, etc., are all stored in the memory as program units, and the processor executes the aforementioned program units stored in the memory to realize the corresponding functions.

[0135] The aforementioned processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and the energy metering performance of the charging station can be evaluated by adjusting kernel parameters.

[0136] The aforementioned memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0137] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute any of the above-described methods for evaluating the electrical energy metering performance of a charging pile.

[0138] According to another aspect of the present invention, an electronic device is also provided, including one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any of the above-described methods for evaluating the energy metering performance of charging piles.

[0139] According to another aspect of the present invention, a computer program product is also provided, the computer program product including a computer program, wherein when the computer program is executed by a processor, it implements any of the above-described methods for evaluating the energy metering performance of charging piles.

[0140] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program with the following method steps: determining the target charging pile to be evaluated and obtaining the identification information of the target charging pile; determining the charging pile chain where the target charging pile is located based on the identification information, and obtaining the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile, wherein the target charging pile and the target associated charging pile have a topological association relationship with the same electric vehicle; querying an interactive metering database based on the target charging pile, the target associated charging pile, and the reference charging pile to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile, and the reference interactive metering data of the reference charging pile; calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and evaluating the energy metering performance of the target charging pile based on the metering error of the target charging pile.

[0141] Figure 5 This is a hardware structure block diagram of an electronic device (or mobile device) for evaluating the energy metering performance of a charging pile according to an embodiment of the present invention. Figure 5 As shown, an electronic device may include one or more processors ( Figure 5 (Illustrated as 502a, 502b, ..., 502n), a memory 504 for storing data. In addition, it may include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a keyboard, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 5 The structure shown is for illustrative purposes only and does not limit the structure of the electronic device described above. For example, the electronic device may also include components that are more... Figure 5 The more or fewer components shown, or having the same Figure 5 The different configurations shown.

[0142] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0143] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0144] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0145] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0146] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0147] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0148] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating the electric energy metering performance of a charging pile, characterized in that, include: Identify the target charging pile to be evaluated and obtain the identification information of the target charging pile; Based on the identification information, the charging pile chain where the target charging pile is located is determined, and the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile are obtained. The target charging pile and the target associated charging pile have a topological association relationship with the same electric vehicle. Based on the target charging pile, the target associated charging pile, and the reference charging pile, query the interactive metering database to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile, and the reference interactive metering data of the reference charging pile; The metering error of the target charging pile is calculated based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data, and the energy metering performance of the target charging pile is evaluated based on the metering error of the target charging pile.

2. The evaluation method according to claim 1, characterized in that The steps for calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data include: When the target associated charging pile is the reference charging pile on the charging pile chain, the measurement error of the target associated charging pile is obtained. In the case that the target associated charging pile is the reference charging pile on the charging pile chain, the measurement error of the target associated charging pile is the reference measurement error of the reference charging pile, and the reference measurement error is predetermined. The charging current and battery pack temperature in each first charging process are extracted from the first interactive metering data, and the charging current and battery pack temperature in each second charging process are extracted from the second metering data of the target associated charging pile. Based on the charging current and battery pack temperature in each first charging sub-process and the charging current and battery pack temperature in each second charging sub-process, the first charging sub-process and the second charging sub-process that match the target charging pile and the target associated charging pile are obtained. The first charging sub-process and the second charging sub-process that match the target charging pile and the target associated charging pile are obtained based on pre-configured matching conditions. The matching conditions include: the difference in battery pack temperature between the first charging sub-process and the second charging sub-process is less than a temperature difference threshold and the difference in charging current between the first charging sub-process and the second charging sub-process is less than a charging current difference threshold. Extract the SOC estimate and energy metering value of the first charging sub-process corresponding to the target charging pile from the first interactive metering data, and extract the SOC estimate and energy metering value of the second charging sub-process corresponding to the target associated charging pile from the second interactive metering data; The metering error of the target charging pile is calculated based on the SOC estimate and energy metering value of the first charging sub-process, the SOC estimate and energy metering value of the second charging sub-process, and the metering error of the target associated charging pile.

3. The evaluation method according to claim 2, characterized in that The steps for calculating the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data, and the reference interactive metering data include: Step 1: If the associated charging pile is not the reference charging pile in the charging pile chain, obtain the reference metering error of the reference charging pile; Step 2: Determine the associated charging pile corresponding to the reference charging pile, and obtain the charging sub-process that matches the reference charging pile and the associated charging pile. Based on the SOC estimate and energy metering value of the reference charging pile in the matched charging sub-process, the SOC estimate and energy metering value of the associated charging pile in the matched charging sub-process, and the reference metering error of the reference charging pile, calculate the metering error of the associated charging pile, and use the associated charging pile with the calculated metering error as the new reference charging pile. Repeat step two until the metering error of the target associated charging pile is calculated, and calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data and the metering error of the target associated charging pile.

4. The evaluation method according to claim 1, characterized in that Before identifying the target charging stations to be evaluated, the following steps are also included: During the charging process of the electric vehicle, a topological association between the electric vehicle and the charging pile is established, and the charging data of the electric vehicle and the power metering data of the charging pile are obtained to obtain the interactive metering data of the electric vehicle during the charging process of the charging pile. The charging data includes at least one of the following: charging current data of the electric vehicle during the charging process, SOC estimated value data of the electric vehicle during the charging process, battery pack temperature data of the electric vehicle during the charging process, and attribute information of the electric vehicle. The power metering data includes at least the power metering value of the charging pile during the charging process of the electric vehicle. An interactive metering database is constructed based on the topological relationship between electric vehicles and charging piles, as well as the interactive metering data.

5. The evaluation method according to claim 4, characterized in that After constructing the interactive metering database based on the topological relationship between electric vehicles and charging piles and the interactive metering data, the following steps are also included: Extract battery pack temperature data for the same electric vehicle during each charging process, and calculate the average battery pack temperature of the electric vehicle during each charging process based on the battery pack temperature data; The average battery pack temperature of the electric vehicle during multiple charging processes is calculated based on the average battery pack temperature during each charging process. The interactive metering data of the electric vehicle is filtered based on the difference between the average battery pack temperature and the average battery pack temperature during each charging process. Specifically, if the difference between the average battery pack temperature and the average battery pack temperature during a single charging process is greater than the error value, the interactive metering data of the electric vehicle during that charging process is removed from the interactive metering database.

6. The evaluation method according to claim 4, characterized in that, After constructing the interactive metering database based on the topological relationship between electric vehicles and charging piles and the interactive metering data, the following steps are also included: The charging current data is extracted from the interactive metering data of the electric vehicle during the charging process at the charging pile; The charging process of the electric vehicle is divided into N sub-processes based on the charging current data, where N is a positive integer. The interactive metering data is divided based on N charging sub-processes to obtain the interactive metering data of each charging sub-process of the electric vehicle on the charging pile.

7. The evaluation method according to claim 4, characterized in that, After constructing the interactive metering database based on the topological relationship between electric vehicles and charging piles and the interactive metering data, the following steps are also included: Obtain the topological association relationship between the same electric vehicle and different charging piles. When the same electric vehicle has a topological association relationship with M different charging piles, obtain the interactive metering data of the electric vehicle during the charging process of the M charging piles, where M is a positive integer greater than 2. Based on the interactive metering data, the metering error of every two charging piles in the M charging piles is calculated respectively, and the metering error set of the M charging piles is obtained. If all measurement errors in the measurement error set are less than the measurement error threshold, M of the charging piles are selected as the reference charging piles. For each reference charging pile, the reference charging pile is used as the starting point of the charging pile chain, and the charging pile chain is constructed based on the topological relationship between the electric vehicle and the charging pile. The number of charging piles in the charging pile chain is less than or equal to a preset charging pile number threshold, and there are no duplicate charging piles in the charging pile chain.

8. The evaluation method according to claim 4, characterized in that, The interactive metering database adopts a chain-record storage method. The interactive metering database contains multiple chain-connected data blocks. Each data block stores at least the interactive metering data of the charging pile, the energy metering performance evaluation data, the encrypted hash value of the previous data block, the timestamp, and the write record. The previous data block refers to the data block that is adjacent to the current data block and whose timestamp is earlier than the current data block.

9. A device for evaluating the electrical energy metering performance of a charging pile, characterized in that, include: The determining unit is used to determine the target charging pile to be evaluated and to obtain the identification information of the target charging pile; The acquisition unit is used to determine the charging pile chain where the target charging pile is located based on the identification information, and to acquire the target associated charging pile and the reference charging pile on the charging pile chain corresponding to the target charging pile, wherein the target charging pile and the target associated charging pile have a topological association relationship with the same electric vehicle; The query unit is used to query the interactive metering database based on the target charging pile, the target associated charging pile, and the reference charging pile to obtain the first interactive metering data of the target charging pile, the second interactive metering data of the target associated charging pile, and the reference interactive metering data of the reference charging pile. The calculation unit is used to calculate the metering error of the target charging pile based on the first interactive metering data, the second interactive metering data and the reference interactive metering data, and to evaluate the energy metering performance of the target charging pile based on the metering error of the target charging pile.

10. An electronic device, characterized in that, It includes one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the power metering performance evaluation method for charging piles as described in any one of claims 1 to 8.

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