CN116910043A - Charging record data processing method and device, electronic equipment and storage medium - Google Patents

Charging record data processing method and device, electronic equipment and storage medium Download PDF

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CN116910043A
CN116910043A CN202310856763.5A CN202310856763A CN116910043A CN 116910043 A CN116910043 A CN 116910043A CN 202310856763 A CN202310856763 A CN 202310856763A CN 116910043 A CN116910043 A CN 116910043A
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charging
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battery
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李国全
温金雄
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GCL Hong Kong Cloud Technology Hainan Co Ltd
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GCL Hong Kong Cloud Technology Hainan Co Ltd
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Abstract

The invention discloses a charging record data processing method, a device, electronic equipment and a storage medium. If the condition of lacking record data exists in the current charging process of the target battery, firstly, acquiring battery identification information of the target battery; then, according to the battery identification information, acquiring current charging record data of the target battery; then, carrying out data filling on the current charging record data to generate target charging record data of the current charging process; and finally, determining charging order data of the target battery for the current charging process based on the target charging record data. According to the embodiment, when the lack of the recorded data exists in the current charging process of the target battery, the current charging recorded data can be automatically and timely subjected to data filling. The data is not required to be manually input, so that the reliability of the charging order data can be improved, and the probability of data errors caused by manpower is reduced.

Description

Charging record data processing method and device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of charging technologies for new energy vehicles, and in particular, to a method and apparatus for processing charging record data, an electronic device, and a storage medium.
Background
And the station control system of the battery replacement station is in butt joint with the degree of the ammeter and collects data of the battery in the charging process, and after the battery is charged, the station control system uploads the collected data to the cloud platform so as to generate charging order data.
In the related art, when the station control system is abnormally connected with the platform, a worker checks the degree of the ammeter through the paper file, manually records data and maintains information records on the platform. However, the manual mode is prone to artificial omission, thereby causing data errors.
Disclosure of Invention
The embodiments of the present specification aim to solve at least one of the technical problems in the related art to some extent. To this end, the present embodiments provide a charging record data processing method, apparatus, electronic device, and storage medium.
The embodiment of the specification provides a charging record data processing method, which comprises the following steps:
if the condition of lacking record data exists in the current charging process of the target battery, acquiring battery identification information of the target battery;
acquiring current charging record data of the target battery according to the battery identification information;
performing data filling on the current charging record data to generate target charging record data of the current charging process;
Charging order data of the target battery for the current charging process is determined based on the target charging record data.
In one embodiment, before the step of performing data patching on the current charging record data to generate target charging record data of the current charging process, the method further includes:
if the current charging record data lack real-time record data of a target charging stage, acquiring historical charging record data of the target battery according to the battery identification information; the target charging stage is a process stage of newly increasing a preset electric quantity change value of the target battery;
predicting the charging condition of the target charging stage based on the historical charging record data to obtain predicted record data of the target charging stage;
the step of performing data filling on the current charging record data to generate target charging record data of the current charging process includes:
and taking the predicted record data as the missing real-time record data, and carrying out data filling on the current charge record data to obtain the target charge record data.
In one embodiment, before the step of performing data patching on the current charging record data to generate target charging record data of the current charging process, the method further includes:
If the current charging record data lack the charging record summary data of the current charging process, carrying out statistical processing based on the current charging record data to obtain the charging record summary data;
the step of performing data filling on the current charging record data to generate target charging record data of the current charging process includes:
and carrying out data filling on the current charging record data by utilizing the charging record summary data to obtain target charging record data of the current charging process.
In one embodiment, the obtaining the battery identification information of the target battery if there is a lack of recording data in the current charging process of the target battery includes:
if the condition of lacking recorded data exists in the current charging process of the target battery, determining a target battery replacement station to which the target battery belongs;
and if the target battery replacement station is configured to have an automatic charging record function, acquiring the battery identification information.
In one embodiment, before the obtaining the battery identification information of the target battery if there is lack of record data in the current charging process of the target battery, the method further includes:
Acquiring the charging duration of the current charging process of the target battery;
and if the charging duration reaches the preset full-charge duration configured for the target battery, detecting whether the target battery lacks recorded data in the current charging process.
In one embodiment, the target charge record data comprises charge record summary data; the determining charging order data of the target battery for the current charging process based on the target charging record data includes:
determining the current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity based on the charging record summary data;
and generating the charging order data according to the current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity.
In one embodiment, the method further comprises:
determining a re-recordable power exchange station with the automatic re-charging recording function in response to site function configuration operation;
responsive to a battery-specific configuration operation, a rechargeable battery supporting the auto-replenishment charge recording function is determined.
The embodiment of the present specification provides a charge recording data processing apparatus, the apparatus including:
the battery identification information acquisition module is used for acquiring the battery identification information of the target battery if the condition of lacking record data exists in the current charging process of the target battery;
the current charging record acquisition module is used for acquiring current charging record data of the target battery according to the battery identification information;
the target charging record generation module is used for carrying out data filling on the current charging record data to generate target charging record data of the current charging process;
and the charging order data determining module is used for determining the charging order data of the target battery for the current charging process based on the target charging record data.
The present specification embodiment provides an electronic apparatus including: a memory, and one or more processors communicatively coupled to the memory; the memory has stored therein instructions executable by the one or more processors to cause the one or more processors to implement the steps of the method of any of the embodiments described above.
The present description provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method according to any of the above embodiments.
The present description provides a computer program product comprising instructions which, when executed by a processor of a computer device, enable the computer device to perform the steps of the method of any one of the embodiments described above.
In the above embodiment, if there is a lack of recording data in the current charging process of the target battery, first, the battery identification information of the target battery is obtained; then, according to the battery identification information, acquiring current charging record data of the target battery; then, carrying out data filling on the current charging record data to generate target charging record data of the current charging process; and finally, determining charging order data of the target battery for the current charging process based on the target charging record data. According to the embodiment, when the lack of the recorded data exists in the current charging process of the target battery, the current charging recorded data can be automatically and timely subjected to data filling. The data is not required to be manually input, so that the reliability of the charging order data can be improved, and the probability of data errors caused by manpower is reduced.
Drawings
Fig. 1a is a schematic application scenario diagram of a method for processing charging record data according to an embodiment of the present disclosure;
fig. 1b is a schematic flow chart of a method for processing charging record data according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of determining target charging record data according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of determining target charging record data according to an embodiment of the present disclosure;
fig. 4 is a schematic flow chart of acquiring battery identification information according to an embodiment of the present disclosure;
fig. 5 is a schematic flow chart of detecting whether there is a lack of recorded data in the current charging process of the target battery according to the embodiment of the present disclosure;
FIG. 6 is a schematic flow chart of generating charging order data according to an embodiment of the present disclosure;
FIG. 7 is a schematic flow chart of a rechargeable battery and a battery replacement station for determining support for an automatic recharging recording function according to an embodiment of the present disclosure;
fig. 8 is a flowchart of a method for processing charging record data according to an embodiment of the present disclosure;
fig. 9 is a schematic diagram of a charge recording data processing apparatus according to an embodiment of the present disclosure;
fig. 10 is an internal configuration diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
The power exchange station is a novel service station for serving the new energy automobile and provides services of charging and quick replacement of the power battery for the power battery of the new energy automobile. And the station control system of the battery replacement station is in butt joint with the degree of the ammeter and collects data of the battery in the charging process, and after the battery is charged, the station control system uploads the collected data to the cloud platform so as to generate charging order data.
In the related art, when the station control system is abnormally connected with the platform, a worker checks the degree of the ammeter through the paper file, manually records data and maintains information records on the platform. However, on one hand, the manual mode is easy to cause artificial omission, so that data errors are caused; on the other hand, the artificial approach may lead to slow billing of the customer billing bill.
Based on this, the present embodiment provides a charge recording data processing method. If the condition of lacking record data exists in the current charging process of the target battery, firstly, acquiring battery identification information of the target battery; then, according to the battery identification information, acquiring current charging record data of the target battery; then, carrying out data filling on the current charging record data to generate target charging record data of the current charging process; and finally, determining charging order data of the target battery for the current charging process based on the target charging record data. According to the embodiment, when the lack of the recorded data exists in the current charging process of the target battery, the current charging recorded data can be automatically and timely subjected to data filling. The data is not required to be manually input, so that the reliability of the charging order data can be improved, and the probability of data errors caused by manpower is reduced.
The method provided by the embodiment of the specification can be applied to the application scene of fig. 1a, and the new energy automobile can comprise an electric passenger car, an electric taxi, an electric special car for sanitation logistics, a public electric passenger car and a private electric passenger car. The application scenario includes a station control system 110 and a server 120. The station control system 110 communicates with the server 120 via a network. When the new energy automobile F enters the power exchange station, the automation device can take the primary battery a of the new energy automobile F out of the vehicle, and then install the charged battery B into the new energy automobile F. After the battery is replaced, the new energy automobile F drives away from the power exchange station, and the station control system 110 generates a power exchange record and uploads the record to the server 120. Battery a begins to charge in the battery exchange station, and the station control system 110 will upload charging information (such as battery capacity, electricity meter number, and charging duration) of battery a to the server 120. When the charging duration of the battery a reaches the preset full charge duration of the battery configuration, the server 120 detects that the battery a is in the absence of recording data in the current charging process, and the server 120 can obtain the battery identification information of the battery a according to the battery replacement record. If the current charging record data of the battery a lacks the real-time record data of the partial charging stage, the server 120 may obtain the historical charging record data of the battery a according to the battery code of the battery a, and predict the charging condition of the target charging stage based on the historical charging record data, so as to obtain the predicted record data of the target charging stage. The server 120 performs data padding on the current charge record data to obtain target charge record data by taking the predicted record data as missing real-time record data. If the current charging record data of the battery a lacks the charging record summary data, the server 120 performs statistical processing on the current charging record data of the battery a to obtain the charging record summary data. The server 120 performs data complement on the current charging record data by using the charging record summary data to obtain target charging record data. The server 120 determines charge order data for battery a for the current charging process based on the target charge record data.
The station control system 110 may be a system for monitoring, controlling and managing the power exchange station equipment and the operation process, so as to improve the operation efficiency and the service quality. The power plant control system may be deployed in a central control room within the power plant. The central control room may refer to a dedicated control center for managing and controlling the power exchange station via centralized servers and monitoring equipment. The central control room-deployed power exchange station control system can realize centralized management and control of a plurality of power exchange stations, and an operator can monitor and control the states of all power exchange station equipment in real time through the central control room. Meanwhile, the central control room can also perform data analysis and statistics, and decision support and operation optimization suggestions are provided. The server 120 may be an electronic device with some arithmetic processing capability. Which may have a network communication module, a processor, memory, and the like. The server 120 may be a distributed server, and may be a system having a plurality of processors, memories, network communication modules, etc. operating in conjunction. Alternatively, the server 120 may be a server cluster formed for several servers. Alternatively, with the development of science and technology, the server 120 may be a new technical means capable of implementing the corresponding functions of the embodiment of the specification. For example, a new form of "server" based on quantum computing implementation may be possible.
In one embodiment of the present disclosure, referring to fig. 1b, the method for processing charging record data may include the following steps:
s110, if the situation of lack of recorded data exists in the current charging process of the target battery, acquiring battery identification information of the target battery.
The target battery can be a battery with historical charging record data, or can be a configured rechargeable battery supporting an automatic recharging record function. The recorded data can comprise information such as charging time, charging duration, charging electric quantity, ammeter degree and the like of the target battery in the current charging process. The battery identification information may refer to a set of information for uniquely identifying and recognizing the battery, such as a battery code.
In some cases, the battery exchange station will record data of the battery charging process for management and tracking. The lack of recorded data may be due to network connection anomalies or server software or hardware problems.
Specifically, after the target battery starts to charge at the power exchange station, the station control system of the power exchange station uploads the recorded data of the target battery in the current charging process to a server (cloud platform) and stores the recorded data in the platform battery charging process information database until the electric quantity of the target battery is full of 100%, and the recorded data of the target battery in the current charging process is uploaded. The server (cloud platform) detects that the current charging process of the target battery lacks record data based on the record number of the current charging process of the target battery in the platform battery charging process information database, and the server (cloud platform) can acquire battery identification information from the battery replacement record.
In some embodiments, after the target battery starts to charge at the power exchange station, the station control system of the power exchange station uploads the record data such as the start charging time, the end charging time, the ammeter data and the like corresponding to the process stage of the new increase of the preset power change value of the target battery to the server (cloud platform) and stores the record data into the platform battery charging process information database until the power of the target battery is fully charged to 100%, and the uploading of the record data of the target battery is ended.
In other embodiments, a fixed predetermined time period may be provided. When the charging time of the target battery reaches the preset time, the station control system uploads the recorded data of the target battery in the charging process to a server (cloud platform), and then uploads the recorded data once every preset time until the electric quantity of the target battery is full of 100%. For example, the preset duration may be 10 seconds, may be 15 seconds, and may be 20 seconds.
The power change record may be a record generated after the target battery is replaced. The battery identification information of the target battery and the battery replacement station for replacing the target battery can be contained in the battery replacement record. The electricity change record is uploaded to a server (cloud platform).
S120, acquiring current charging record data of the target battery according to the battery identification information.
S130, performing data filling on the current charging record data to generate target charging record data of the current charging process.
The target charging record data may be charging order data for generating a current charging process.
Specifically, according to the battery identification information, current charging record data of the target battery can be obtained from the platform battery charging process information database. And then, according to the missing condition of the current charging record data, carrying out data filling on the current charging record data to generate target charging record data of the current charging process.
And S140, determining charging order data of the target battery for the current charging process based on the target charging record data.
The charging order data may refer to various data related to a charging process for recording and tracking information of a charging service, among others. The charge order data may include order numbers, charge times, charge amounts, charge fees, vehicle information, and battery exchange station information.
In some cases, the charge order data facilitates the checking of charge fees, settlement, etc. for operators and users.
Specifically, the data processing operation (such as multiplication operation) is performed on the target charging record data, so as to obtain charging data corresponding to the target charging record data, and further, the charging data corresponding to the target charging record data can be used for generating charging order data of the target battery for the current charging process.
In the above embodiment, if there is a lack of recording data in the current charging process of the target battery, first, the battery identification information of the target battery is obtained; then, according to the battery identification information, acquiring current charging record data of the target battery; then, carrying out data filling on the current charging record data to generate target charging record data of the current charging process; and finally, determining charging order data of the target battery for the current charging process based on the target charging record data. According to the embodiment, when the lack of the recorded data exists in the current charging process of the target battery, the current charging recorded data can be automatically and timely subjected to data filling. The data is not required to be manually input, so that the reliability of the charging order data can be improved, and the probability of data errors caused by manpower is reduced.
In some embodiments, referring to fig. 2, before performing data population on the current charging record data to generate target charging record data of the current charging process, the method may include the following steps:
and S210, if the current charging record data lacks real-time record data of the target charging stage, acquiring historical charging record data of the target battery according to the battery identification information.
Wherein the target charging stage is target electricityAnd a process stage of newly adding a preset electric quantity change value into the pool. The preset power change value may be set according to actual situations, for example, the preset power change value may be 1%, and the target charging stage may be a process stage of adding 1% of power. For example, the preset power change value may be 3%, and the target charging stage may be a process stage of adding 3% of the power. For example, the preset power change value may be 5%, and the target charging stage may be a process stage of adding 5% of the power. The new charge may be the work done by the current, and the unit of the new charge is typically joule. In the present embodiment, the unit of the new charge amount may be kWh, 1 kWh (kWh) =1soc=1 degree=3.6x10 6 Joules.
In some cases, the lack of real-time recorded data for the target charging phase may be due to network connection anomalies.
Specifically, when the condition that the data is lacking in the platform battery charging process information database is detected, determining the attribute (column name) corresponding to the lacking data as the real-time data corresponding to the target charging stage can be considered that the real-time recording data of the target charging stage is lacking in the current charging recording data of the target battery. Then, the server (cloud platform) can acquire battery identification information from the battery replacement record, and search the battery historical charging record database according to the battery identification information, so that historical charging record data of the target battery can be obtained.
It should be noted that the battery history charging record database may be stored in a server (cloud platform). After receiving the charging record data of the battery each time, the server (cloud platform) stores the charging record data into a battery history charging record database so as to search and use the battery history charging record database later.
S220, predicting the charging condition of the target charging stage based on the historical charging record data to obtain predicted record data of the target charging stage.
The prediction record data may be data obtained by combining historical charging record data to predict missing part data.
Specifically, for real-time record data of a target charging stage in which current charge record data is missing, historical charge record data of a target charging stage corresponding to a process stage in which a target battery is newly increased by a preset electric quantity change value, which is consistent with the missing target charging stage, is obtained from historical charge record data. And then, carrying out data integration and processing operation on the historical charging record data of the target charging stage to realize the prediction of the charging condition of the target charging stage so as to obtain the predicted record data of the target charging stage.
For example, the target charging phase may be a change in charge from 74% to 75%. If the current charging record data of the battery N lacks real-time record data of the change process of the electric quantity from 74% to 75%, historical charging record data corresponding to the change process of the electric quantity of the battery N from 74% to 75% can be obtained from the historical charging record data. And then, carrying out an averaging operation on historical charging record data corresponding to the change process of the obtained electric quantity from 74% to 75%, and obtaining an average value corresponding to the change process of the electric quantity from 74% to 75%. This average value was recorded as a prediction of the course of the increase in the charge of battery N from 74% to 75%.
Performing data filling on the current charging record data to generate target charging record data of the current charging process, including:
s230, taking the predicted record data as missing real-time record data, and performing data complement on the current charge record data to obtain target charge record data.
Specifically, the obtained predicted record data is added to the current charge record data, and the real-time record data lacking in the target charging stage is complemented to obtain the target charge record data of the current charging process.
In the above embodiment, if the current charging record data lacks real-time record data of the target charging stage, historical charging record data of the target battery is obtained according to the battery identification information, charging conditions of the target charging stage are predicted based on the historical charging record data, predicted record data of the target charging stage is obtained, the predicted record data is used as the lacking real-time record data, and data complement is performed on the current charging record data, so that the target charging record data is obtained. And timely and automatically supplementing the real-time recorded data of the target charging stage so as to generate charging order data subsequently.
In some embodiments, referring to fig. 3, before performing data population on the current charging record data to generate target charging record data of the current charging process, the method may include the following steps:
And S310, if the current charging record data lack the charging record summary data of the current charging process, carrying out statistical processing based on the current charging record data to obtain the charging record summary data.
The charging record summary data may include the power consumption corresponding to the target battery in peak period, flat period and valley period, or the power consumption corresponding to the target battery from charging to full charging. Statistical processing may refer to the collection, sorting, and analysis of relevant data to obtain statistical information about the time period.
In some cases, the lack of charge record summary data for the current charging process may be caused by server software or hardware problems.
Specifically, when the condition that the data is lacking in the platform battery charging process information database is detected, determining the attribute (column name) corresponding to the lacking data as summarized data, and considering that the charging record summarized data of the current charging process of the target battery is lacking in the current charging record data of the target battery. And then, the current charging record data of the target battery can be obtained from the platform battery charging process information database, and the current charging record data is subjected to statistical processing to obtain the total number of charging records.
In some embodiments, the server (cloud platform) may determine, according to a time interval corresponding to a peak period, current charging record data belonging to the time interval corresponding to the peak period in the current charging record data of the target battery, and subtract ammeter data included in the last charging record data of the current charging record data belonging to the time interval corresponding to the peak period from ammeter data included in the first charging record data of the current charging record data belonging to the time interval corresponding to the peak period, so as to obtain the current charging peak electric quantity.
The server (cloud platform) can determine the current charging record data belonging to the time interval corresponding to the tip time period in the current charging record data of the target battery according to the time interval corresponding to the tip time period, and subtract the ammeter data contained in the last charging record data of the current charging record data belonging to the time interval corresponding to the tip time period from the ammeter data contained in the first charging record data of the current charging record data belonging to the time interval corresponding to the tip time period, so that the current charging tip electric quantity can be obtained.
The server (cloud platform) can determine the current charging record data belonging to the time interval corresponding to the flat time interval in the current charging record data of the target battery according to the time interval corresponding to the flat time interval, and subtract the ammeter data contained in the last charging record data of the current charging record data belonging to the time interval corresponding to the flat time interval from the ammeter data contained in the first charging record data of the current charging record data belonging to the time interval corresponding to the flat time interval, so that the current charging flat electric quantity can be obtained.
The server (cloud platform) can determine the current charging record data belonging to the time interval corresponding to the valley period in the current charging record data of the target battery according to the time interval corresponding to the valley period, and subtract the ammeter data contained in the last charging record data of the current charging record data belonging to the time interval corresponding to the valley period from the ammeter data contained in the first charging record data of the current charging record data belonging to the time interval corresponding to the valley period, so as to obtain the current charging valley electric quantity.
The current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity can form charging record summary data.
When any one of the peak period, the flat period, and the valley period includes more than 1 time interval, the power consumption in each time interval included in the time interval including more than 1 time interval may be calculated and added to obtain the power consumption corresponding to the time interval including more than 1 time interval.
Illustratively, the peak period may be 7 a.m.: 00 to 10:00 and 5 pm: 00 to 8:00. the spike period may be 6 a.m.: 00 to 7:00 and 4 pm: 00 to 5:00. the flat period may be 10 a.m.: 00 to 4 pm: 00 and 8:00 to 11:00. the valley period may be 11 a night: 00 to 6 a.m.: 00.
Target battery E may begin charging at 11:30 a.m., and at this time the meter data is 1200kWh. During the charging process, the target battery E uploads a large amount of charging record data. From the charge record data, it can be known that the target battery E is in early morning 6: at 00, the electricity meter data is 1265kWh, and the target battery E is 6 in the early morning: 30 is fully charged and at this time the meter data is 1270kWh. Will 6 a.m.: and subtracting 1200kWh of the electric meter data 11:30 at night from 1265kWh of the electric meter data at 00 hours to obtain 65kWh (degree) of the current charging valley electric quantity. Will 6 a.m.: 30 ammeter data 1270kWh minus 6 a.m.: at 00 hours, the electricity meter data 1265kWh, and the current charging sharp electric quantity 5kWh (degree) is obtained.
Target battery H may be 8 in the morning: 00 begins charging and at this point the meter data is 1300kWh. During the charging process, the target battery H uploads a large amount of charging record data. From the charge record data, it can be known that the target battery H is 10 a.m.: at 00, the meter data was 1320kWh, target cell H at 4 pm: at 00, the electricity meter data was 1380kWh, battery H at 5 pm: at 00, the electricity meter data is 1390kWh, and the target battery H is at 6 pm: 00 is fully charged and at this time the table data is 1400kWh. 10 am: ammeter data at 00 1320kWh minus 8 in the morning: 00 electricity meter data 1300kWh, resulting in a peak power of 20kWh (degrees), will be 6 pm: ammeter data at 00kWh minus 5 pm: the electric meter data of 00 is 1390kWh, the peak electric quantity is obtained, the peak electric quantity is 20kWh, the peak electric quantity is added with the peak electric quantity of 10kWh, and the current charging peak electric quantity is obtained. Will be 5 pm: electric meter data 1390kWh of 00 minus 4 pm: and (3) at 00 hours, the ammeter data 1380kWh, and the current charging sharp electric quantity 10kWh (degree) is obtained. Will be 4 pm: electric meter data 1380kWh of 00 minus 10 am: at 00 hours, the electric meter data 1320kWh obtain the current charge flat electric quantity 60kWh (degree).
In other embodiments, the ammeter data included in the first charging record data of the previous charging record data may be directly subtracted from the ammeter data included in the last charging record data of the current charging record, to obtain the charging record summary data.
Performing data filling on the current charging record data to generate target charging record data of the current charging process, including:
and S320, carrying out data supplementation on the current charging record data by utilizing the charging record summary data to obtain target charging record data of the current charging process.
Specifically, the obtained charging record summary data is added to the current charging record data, and the charging record summary data lacking in the current charging process is complemented to obtain target charging record data of the current charging process.
In the above embodiment, if the current charging record data lacks the charging record summary data of the current charging process, statistical processing is performed based on the current charging record data to obtain the charging record summary data, and the charging record summary data is utilized to perform data replenishment on the current charging record data to obtain the target charging record data of the current charging process. And timely and automatically complementing the charging record summary data of the current charging process so as to generate charging order data subsequently.
In some embodiments, referring to fig. 4, if there is a situation of lack of recording data in the current charging process of the target battery, the method for obtaining the battery identification information of the target battery may include the following steps:
s410, if the condition of lacking record data exists in the current charging process of the target battery, determining a target battery replacement station to which the target battery belongs.
S420, if the target battery replacement station is configured to have an automatic charging record function, acquiring battery identification information.
Specifically, when the situation that the data is lack in the platform battery charging process information database is detected, the situation that the record data is lack in the current charging process of the target battery can be considered. Then, a power exchange station for replacing the target battery can be determined according to the power exchange record, and the power exchange station is regarded as a target power exchange station to which the target battery belongs. And detecting whether the target power exchange station has an automatic charging record function, and acquiring battery identification information from the power exchange record when the target power exchange station is provided with the automatic charging record function.
In the above embodiment, if there is a situation that the record data is lacking in the current charging process of the target battery, the target battery station to which the target battery belongs is determined, and if the target battery station is configured to have the automatic charging record function, the battery identification information is obtained. By obtaining the battery identification information, the historical charging record data of the target battery can be determined so as to carry out data replenishment on the current charging record data lacking the record data.
In some embodiments, referring to fig. 5, before acquiring the battery identification information of the target battery if there is a lack of recorded data in the current charging process of the target battery, the method may include the following steps:
s510, acquiring the charging duration of the current charging process of the target battery.
And S520, if the charging duration reaches the preset full-charge duration configured for the target battery, detecting whether the target battery lacks recorded data in the current charging process.
The preset charging duration may be a time consumed by the target battery when the target battery is charged from 0% to 100%. Different models or types of target batteries are provided with different preset full-charge durations. The preset full-charge duration can be classified according to the vehicle rabbet, for example, the preset full-charge duration of the battery used by the vehicle rabbet A is T1, the preset full-charge duration of the battery used by the vehicle rabbet B is T2, and the preset full-charge duration of the battery used by the vehicle rabbet C is T3. The preset full-charge duration can be classified according to the series to which the vehicle under the vehicle enterprise A flag belongs, for example, the preset full-charge duration of the battery used by the X1 of the X series under the vehicle enterprise A flag is T4, and the preset full-charge duration of the battery used by the X2 of the X series under the vehicle enterprise A flag is T5. The preset full-charge duration of the battery used by the Y1 of the Y series of the vehicle enterprise A flag is T6, and the preset full-charge duration of the battery used by the Y2 of the Y series of the vehicle enterprise A flag is T7.
Specifically, data operation is performed on the record data uploaded to the server (cloud platform) to obtain the charging duration of the current charging process of the target battery. And when the charging duration reaches the preset full-charge duration configured for the target battery, detecting whether the target battery lacks recorded data in the current charging process. When the situation that the target battery lacks recorded data in the current charging process is detected, the server (cloud platform) considers that the information of the battery replacement station is faulty, and an automatic supplementary charging recording function can be started.
In some embodiments, the recorded data uploaded to the server (cloud platform) may include the time of day of the charging data. For example, the starting charging time of the target battery is 10:00, and the ending charging time of the target battery is 16:00 stored in a database of a server (cloud platform). Subtracting the starting charging time of the target battery from the ending charging time of the target battery from the starting charging time of the target battery to the starting charging time of the target battery from the ending charging time of the target battery to the starting charging time of the target battery from the starting charging time of the target battery to the starting charging time of the target battery, and obtaining the charging duration of the current charging process of the target battery for 6 hours.
In other embodiments, the recorded data uploaded to the server (cloud platform) may include the starting time of the extended electrical data and the duration of the charging. For example, the database of the server (cloud platform) stores the starting charging time of the target battery as 10:00, the duration required for the electric quantity of the target battery to be newly increased from 10% to 11% is 4 minutes, the duration required for the electric quantity of the target battery to be newly increased from 11% to 12% is 4 minutes, … …, and the duration required for the electric quantity of the target battery to be newly increased from 99% to 100% is 6 minutes. And adding the time length required by the electric quantity of the target battery to be increased from 10% to 11%, the time length required by the electric quantity of the target battery to be increased from 11% to 12%, and the time length required by the electric quantity of the target battery to be increased from 99% to 100%, wherein the time length required by the electric quantity of the target battery to be increased from 99% to 100%, and the charging duration of the current charging process of the target battery is obtained.
In the above embodiment, the charging duration of the current charging process of the target battery is obtained, and if the charging duration reaches the preset full duration configured for the target battery, whether the target battery lacks recorded data in the current charging process is detected, so that the missing part in the recorded data is repaired.
In some embodiments, referring to fig. 6, the target charge record data includes charge record summary data; determining charging order data of the target battery for the current charging process based on the target charging record data may include the steps of:
and S610, determining the current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity based on the charging record summary data.
And S620, generating charging order data according to the current charging peak power, the current charging flat power and the current charging valley power.
The peak power may refer to the amount of electrical energy consumed during a peak period of the power system, among other things. Peak hours refer to periods of highest power demand, typically a particular period of the day, such as peak hours in the morning or afternoon. The peak power may refer to a period of relatively high power demand, typically occurring before and after a peak period, such as 6 to 7 a.m. and 4 to 5 a.m. in the afternoon. The electricity demand during the spike period is relatively high, but does not peak. Flat power may refer to the amount of electrical energy consumed during a flat valley period of the power system. The flat valley period may refer to a period of time between peak and valley times, typically a period of low power demand during the day, typically a low valley period of the evening and early morning. The valley amount may refer to an amount of electrical energy consumed during a valley period of the electrical power system. Valley periods are typically periods of the day where power demand is lowest, typically low valley periods in the evening and early morning. The valley power is an indicator of the power consumption during this period of the valley.
In some cases, in order to reasonably formulate an electricity fee policy according to electricity demand and electricity supply conditions of different time periods, reasonable distribution of electricity consumption and effective utilization of energy sources are promoted. Different electricity prices are set in peak time periods, flat time periods and valley time periods, battery time-of-day charging is achieved, reasonable power dispatching can be conducted, and stability and high efficiency of power supply are guaranteed. By increasing electricity prices during peak hours, users are encouraged to reduce electricity demand during peak hours to balance supply-demand relationships, reduce load pressure of the power system, and increase energy utilization efficiency. By reducing electricity prices during valley periods, users are encouraged to increase electricity demand during low peaks to fully utilize the idle capacity of the power system, reducing the electricity costs of the users. Through the difference of time-of-use electricity prices, users are guided to reduce electricity consumption requirements in peak periods, dependence on traditional energy sources is reduced, and utilization of renewable energy sources is promoted, so that influence on the environment is reduced. And the power consumption behavior of a user is adjusted through reasonable electricity price difference, the load and the supply of the power system are balanced, and the stable operation and the supply and demand balance of the power system are ensured.
Specifically, charging record summary data is obtained from target charging record data, and the current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity are determined from the charging record summary data. And respectively calculating the electric charge corresponding to the peak electric quantity charged at the current time, the flat electric quantity charged at the current time and the valley electric quantity charged at the current time according to different electric charge charging standards of the peak time, the flat time and the valley time. And then adding the electric charges corresponding to the previous charge peak electric quantity, the current charge flat electric quantity and the current charge valley electric quantity to obtain the total electric charge of the target battery aiming at the current charging process. The target battery is used to generate charging order data for the total electricity charge of the current charging process.
Illustratively, the electricity price of the peak period of the city where the target battery is currently located is 1.2893 yuan/degree, the electricity price of the peak period is 1.0 yuan/degree, the electricity price of the flat period is 0.8731 yuan/degree, and the electricity price of the valley period is 0.4570 yuan/degree. The charge record summary data may include the current charge level of 60 degrees. And multiplying the current 60-degree electricity charged by the flat electric quantity and the electricity price of the flat period of 0.8731 yuan/degree to obtain 52.386 yuan of electricity charge, so as to generate charging order data.
In the above embodiment, based on the charge record summary data, the current charge peak power, the current charge average power, and the current charge valley power are determined, and the charge order data is generated according to the current charge peak power, the current charge average power, and the current charge valley power. The corresponding electricity charge can be calculated according to different electricity consumption time periods, and the electricity consumption cost saving and the energy utilization optimization are realized.
In some embodiments, referring to fig. 7, before performing data population on the current charging record data to generate target charging record data of the current charging process, the method may include the following steps:
S710, determining a rechargeable battery replacement station with an automatic recharging and recording function in response to the station function configuration operation.
The site function may be a service of the power exchange station for meeting the charging requirement of the user and providing convenience, for example, the site function may be fault alarm and maintenance, and charging pile management. The configuration operation can be implemented according to the actual situation of the power exchange station.
In some cases, the number of the battery replacement stations is larger, and when the quality of the historical charging record data of the battery equipped by the battery replacement stations is high and the proportion of the battery with the high-quality historical charging record data to the battery equipped by the battery replacement stations is higher, the battery replacement stations can be configured with an automatic charging record supplementing function so as to improve the accuracy and the reliability of the battery supplementary data.
Specifically, when the historical charge recording data quality of the battery equipped with the battery exchange station is high and the proportion of the battery having the high quality historical charge recording data is high in the battery equipped with the battery exchange station, the battery exchange station can be configured with the automatic replenishment charge recording function. And in response to the site function configuration operation of the power exchange station, determining that the power exchange station is a rechargeable power exchange station with an automatic recharging and recording function.
S720, in response to the battery specified configuration operation, determining the rechargeable battery supporting the automatic recharging recording function.
In some cases, the type and model of the battery are different, and the data of the charging process are also different. The historical charge log data of the battery may not all be used to complement the missing log data. Degradation data exists in the history charge record data. Degradation data refers to data collected in the event that the data is corrupted, distorted, or mutated during collection, storage, processing, or transmission. Degradation of the data can degrade the accuracy, integrity, consistency, and reliability of subsequent computing processes. Therefore, when the quality of the historical charging record data of the battery is higher, the battery can be configured as a rechargeable battery supporting the automatic recharging record function, so that the accuracy and the credibility of the rechargeable data of the battery can be improved.
Specifically, when the quality of the historical charge record data of the battery is high, the battery may be subjected to a configuration operation. In response to the battery designation configuration operation, the battery is determined to be a rechargeable battery that supports an auto-recharging recording function.
In some embodiments, the site function configuration operation and the battery assignment configuration operation may be performed by the terminal device. The terminal may be an electronic device with network access capabilities. Specifically, for example, the terminal may be a desktop computer, a tablet computer, a notebook computer, a smart phone, a smart wearable device, or the like. Wherein, intelligent wearable device includes but is not limited to intelligent bracelet, intelligent wrist-watch, intelligent glasses, intelligent helmet etc..
In the above embodiment, the rechargeable battery having the automatic recharging recording function is determined in response to the station function configuration operation, and the rechargeable battery supporting the automatic recharging recording function is determined in response to the battery specification configuration operation. By determining the re-recordable power exchange station and the re-recordable battery, the missing recorded data can be more accurately supplemented and the reliability of the missing recorded data can be improved.
The embodiment of the specification also provides a charging record data processing method, wherein the target charging record data comprises charging record summary data. For example, referring to fig. 8, the charge recording data processing method may include the steps of:
s802, acquiring the charging duration of the current charging process of the target battery.
S804, if the charging duration reaches the preset full duration configured for the target battery, detecting whether the target battery lacks recorded data in the current charging process.
S806, if the condition of lacking record data exists in the current charging process of the target battery, determining a target battery replacement station to which the target battery belongs.
S808, if the target battery exchange station is configured to have the automatic charging record function, acquiring the battery identification information.
Specifically, in response to site function configuration operations, determining a re-writable battery replacement station having an automatic re-charging recording function; responsive to a battery-specific configuration operation, a rechargeable battery supporting an auto-replenishment charge recording function is determined.
S810, acquiring current charging record data of the target battery according to the battery identification information.
And S812, if the current charging record data lacks real-time record data of the target charging stage, acquiring historical charging record data of the target battery according to the battery identification information.
The target charging stage is a process stage of newly increasing a preset electric quantity change value of the target battery.
S814, predicting the charging condition of the target charging stage based on the historical charging record data to obtain predicted record data of the target charging stage.
And S816, taking the predicted record data as missing real-time record data, and performing data complement on the current charge record data to obtain target charge record data.
And S818, if the current charging record data lack the charging record summary data of the current charging process, carrying out statistical processing based on the current charging record data to obtain the charging record summary data.
S820, carrying out data filling on the current charging record data by utilizing the charging record summary data to obtain target charging record data of the current charging process.
S822, determining the current charging peak power, the current charging flat power and the current charging valley power based on the charging record summary data.
S824, charging order data are generated according to the current charging peak power, the current charging flat power and the current charging valley power.
Referring to fig. 9, the embodiment of the present disclosure provides a charging record data processing device 900, where the charging record data processing device 900 includes: a battery identification information acquisition module 910, a current charge record acquisition module 920, a target charge record generation module 930, and a charge order data determination module 940.
A battery identification information obtaining module 910, configured to obtain battery identification information of a target battery if there is a lack of recording data in a current charging process of the target battery;
a current charging record obtaining module 920, configured to obtain current charging record data of the target battery according to the battery identification information;
a target charging record generating module 930, configured to perform data filling on the current charging record data, and generate target charging record data of the current charging process;
A charging order data determining module 940, configured to determine charging order data of the target battery for the current charging process based on the target charging record data.
For a specific description of the charge recording data processing apparatus, reference may be made to the description of the charge recording data processing method hereinabove, and the description thereof will not be repeated here.
In some embodiments, an electronic device, which may be a terminal, is provided, and an internal structure diagram thereof may be as shown in fig. 10. The electronic device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the electronic device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a charge recording data processing method. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the electronic equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 10 is merely a block diagram of a portion of the structure associated with the aspects disclosed herein and is not limiting of the electronic device to which the aspects disclosed herein apply, and in particular, the electronic device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In some embodiments, an electronic device is provided, comprising a memory, in which a computer program is stored, and a processor, which when executing the computer program, carries out the method steps of the above embodiments.
The present description embodiment provides a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method of any of the above embodiments.
An embodiment of the present specification provides a computer program product comprising instructions which, when executed by a processor of a computer device, enable the computer device to perform the steps of the method of any one of the embodiments described above.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, for example, may be considered as a ordered listing of executable instructions for implementing logical functions, and may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium upon which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

Claims (10)

1. A charge recording data processing method, characterized in that the method comprises:
if the condition of lacking record data exists in the current charging process of the target battery, acquiring battery identification information of the target battery;
acquiring current charging record data of the target battery according to the battery identification information;
performing data filling on the current charging record data to generate target charging record data of the current charging process;
charging order data of the target battery for the current charging process is determined based on the target charging record data.
2. The method of claim 1, wherein prior to the data populating the current charge record data to generate target charge record data for the current charging process, the method further comprises:
if the current charging record data lack real-time record data of a target charging stage, acquiring historical charging record data of the target battery according to the battery identification information; the target charging stage is a process stage of newly increasing a preset electric quantity change value of the target battery;
predicting the charging condition of the target charging stage based on the historical charging record data to obtain predicted record data of the target charging stage;
The step of performing data filling on the current charging record data to generate target charging record data of the current charging process includes:
and taking the predicted record data as the missing real-time record data, and carrying out data filling on the current charge record data to obtain the target charge record data.
3. The method of claim 1, wherein prior to the data populating the current charge record data to generate target charge record data for the current charging process, the method further comprises:
if the current charging record data lack the charging record summary data of the current charging process, carrying out statistical processing based on the current charging record data to obtain the charging record summary data;
the step of performing data filling on the current charging record data to generate target charging record data of the current charging process includes:
and carrying out data filling on the current charging record data by utilizing the charging record summary data to obtain target charging record data of the current charging process.
4. The method according to claim 1, wherein the obtaining the battery identification information of the target battery if there is a lack of recorded data during the current charging of the target battery includes:
If the condition of lacking recorded data exists in the current charging process of the target battery, determining a target battery replacement station to which the target battery belongs;
and if the target battery replacement station is configured to have an automatic charging record function, acquiring the battery identification information.
5. The method according to claim 1, wherein before the obtaining the battery identification information of the target battery if there is lack of recorded data during the current charging of the target battery, the method further comprises:
acquiring the charging duration of the current charging process of the target battery;
and if the charging duration reaches the preset full-charge duration configured for the target battery, detecting whether the target battery lacks recorded data in the current charging process.
6. The method of claim 1, wherein the target charge record data comprises charge record summary data; the determining charging order data of the target battery for the current charging process based on the target charging record data includes:
determining the current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity based on the charging record summary data;
And generating the charging order data according to the current charging peak electric quantity, the current charging flat electric quantity and the current charging valley electric quantity.
7. The method according to claim 4, wherein the method further comprises:
determining a re-recordable power exchange station with the automatic re-charging recording function in response to site function configuration operation;
responsive to a battery-specific configuration operation, a rechargeable battery supporting the auto-replenishment charge recording function is determined.
8. A charge recording data processing apparatus, characterized in that the apparatus comprises:
the battery identification information acquisition module is used for acquiring the battery identification information of the target battery if the condition of lacking record data exists in the current charging process of the target battery;
the current charging record acquisition module is used for acquiring current charging record data of the target battery according to the battery identification information;
the target charging record generation module is used for carrying out data filling on the current charging record data to generate target charging record data of the current charging process;
and the charging order data determining module is used for determining the charging order data of the target battery for the current charging process based on the target charging record data.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
CN202310856763.5A 2023-07-12 2023-07-12 Charging record data processing method and device, electronic equipment and storage medium Pending CN116910043A (en)

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