Battery detection control method and system of charging pile, terminal and storage medium

Abstract

The invention relates to a battery detection control method and system for a charging pile, a terminal and a storage medium, and relates to the technical field of battery detection control, and the method comprises the steps: carrying out the charging processing of a vehicle battery of a charging vehicle in response to the detection of the charging operation of the charging vehicle; sending a data transmission request to the charging vehicle; receiving a data index returned by the charging vehicle; obtaining the battery state of the charging vehicle according to the data index; if the battery state is a preset state, continuing to execute the step of charging the vehicle battery of the charging vehicle; if the battery state is a non-preset state, stopping charging the vehicle battery, and generating a reminding message according to the battery state; and sending the reminding message to a user terminal corresponding to the charging vehicle. The method has the effect of reducing the accident rate of the charging pile.

Description

Technical Field

[0001] The present application relates to the technical field of battery detection and control, and in particular to a battery detection and control method, system, terminal, and storage medium for a charging pile. Background Art

[0002] With the rapid development of the new energy vehicle industry, charging piles, as core infrastructure, have a direct impact on user experience and battery life due to their safety and intelligence level.

[0003] Related technologies use a detection module installed on the charging pile to detect the current and voltage output from the charging pile to the vehicle. The module determines whether the current exceeds a preset current threshold and whether the voltage exceeds a preset voltage threshold. If neither exceeds a threshold, the charging pile continues to charge the vehicle. If either exceeds a threshold, the charging pile's output power is reduced.

[0004] With regard to the above-mentioned related technologies, charging piles are prone to overcharging accidents, causing damage to vehicle batteries. Summary of the Invention

[0005] In order to reduce the accident rate of charging piles, the present application provides a battery detection control method, system, terminal and storage medium for a charging pile.

[0006] In a first aspect, the present application provides a battery detection and control method for a charging pile, which adopts the following technical solution: A battery detection and control method for a charging pile, comprising: In response to detecting a charging operation of a charging vehicle, performing a charging process on a vehicle battery of the charging vehicle; Sending a data transmission request to the charging vehicle; Receiving data indicators returned by the charging vehicle; Obtaining a battery status of the charging vehicle according to the data indicator; If the battery state is the preset state, then continue to perform the step of charging the vehicle battery of the charging vehicle; If the battery status is not a preset status, stopping charging the vehicle battery and generating a reminder message according to the battery status; The reminder message is sent to a user terminal corresponding to the charging vehicle.

[0007] By adopting the above technical solution, by obtaining battery data indicators in real time during the charging process and dynamically judging the battery status, charging is immediately stopped when an abnormality is detected and a reminder message is generated and sent to the user terminal, thus achieving active protection of charging safety and significantly reducing the risk of battery failure caused by continuous charging.

[0008] Optionally, if the battery type in the data indicator is a battery pack, obtaining sub-data indicators of each sub-battery in the vehicle battery; Classifying the sub-batteries according to the sub-data indicators to obtain normal sub-batteries and abnormal sub-batteries, wherein the sub-data indicators corresponding to the normal sub-batteries all fall within a preset range, and the abnormal sub-batteries have at least one sub-data indicator that does not fall within the preset range; Counting a first total number of the normal sub-cells and a second total number of the abnormal sub-cells; The battery status is generated based on a ratio of the second total to the first total.

[0009] By adopting the above technical solution, based on fine-grained detection at the sub-battery level, the battery status is quantified by classifying and counting the ratio of the number of normal and abnormal sub-batteries, thereby improving the accuracy of battery pack health assessment. It is particularly suitable for the safety monitoring of power battery packs composed of multiple cells.

[0010] Optionally, if the battery state is the preset state, obtaining a first value range of the sub-data indicator of the normal sub-battery and a second value range of the sub-data indicator of the abnormal sub-battery; Dividing the first value range into a plurality of first value intervals; Dividing the second value range into a plurality of second value intervals; Grouping the normal sub-batteries according to the first value interval to obtain a normal sub-battery group; Setting the charging parameters of the normal sub-battery group according to the mean value of the first value interval corresponding to the normal sub-battery group; Grouping the abnormal sub-batteries according to the second value interval to obtain abnormal sub-battery groups; The charging parameters of the abnormal sub-battery group are set according to the mean value of the second value interval corresponding to the abnormal sub-battery group.

[0011] By adopting the above technical solution, group management is implemented according to the data indicator distribution range of normal sub-batteries and abnormal sub-batteries, and differentiated charging parameters are set based on the characteristic mean of each group, which effectively improves the charging balance of the battery cells in the battery pack and avoids local overcharging or undercharging problems.

[0012] Optionally, sending a battery grouping request to the charging vehicle; receiving the actual sub-battery grouping returned by the charging vehicle; Temporarily grouping the normal sub-batteries according to the first value interval to obtain temporary sub-battery groups; The normal sub-battery group is obtained according to the actual sub-battery grouping and the temporary sub-battery grouping.

[0013] By adopting the above technical solution, the actual battery grouping data returned by the request vehicle is verified and compared with the temporary grouping generated locally, which corrects the grouping error caused by data indicator deviation and ensures the reliability of charging parameter setting.

[0014] Optionally, when the data indicator includes a current value, obtaining the current value of each sub-battery and a timestamp corresponding to the current value; generating a target current curve according to the current value and the timestamp; Obtaining the battery model and battery operating time of the vehicle battery; Determine a standard current curve according to the battery model and the battery operating time; Calculating the similarity between the target current curve and the standard current curve; The sub-cells are classified according to the similarities to obtain the normal sub-cells and the abnormal sub-cells.

[0015] By adopting the above technical solution, combining the time dimension to analyze the current change curve, and performing similarity comparison with the standard curve corresponding to the battery type and age, the ability to identify abnormal conditions during dynamic charging is enhanced.

[0016] Optionally, when it is detected that the charging vehicle is a newly added vehicle, an upper limit value of a charging parameter is obtained; Setting a charging parameter variation curve according to the charging parameter upper limit, wherein the charging parameter variation curve represents a curve of the charging parameter variation over time; Charging the vehicle battery according to the charging parameter change curve and updating the data indicators in real time; Calculating the rate of change of the data indicator; When the target change rate in the change rate is greater than a preset change rate threshold, a target charging parameter corresponding to the target change rate is determined and recorded.

[0017] By adopting the above technical solution, a progressive charging parameter adjustment strategy is adopted for new vehicles. The optimal charging parameter critical point is automatically captured by monitoring the change rate of data indicators, achieving rapid and safe adaptation of vehicles without historical data.

[0018] Optionally, obtaining historical charging records of the charging vehicle; According to the historical charging records, statistics are collected on the historical charging mode of the charging vehicle; extracting charging features from the historical charging patterns; The target charging parameter is updated using the charging characteristics.

[0019] By adopting the above technical solution, historical charging characteristics are used to optimize real-time charging parameters, and the historical optimal strategy is migrated to the current charging scenario through a feature matching mechanism, thereby improving the adaptation efficiency of the charging strategy.

[0020] In a second aspect, the present application provides a battery detection and control system for a charging pile, which adopts the following technical solution: A battery detection and control system for a charging pile, comprising: Acquisition module, used to obtain charging operation and data indicators; A memory, used to store a program of the battery detection control method of the charging pile; The program in the memory can be loaded and executed by the processor to implement the battery detection control method of the charging pile.

[0021] By adopting the above technical solution, by obtaining battery data indicators in real time during the charging process and dynamically judging the battery status, charging is immediately stopped when an abnormality is detected and a reminder message is generated and sent to the user terminal, thus achieving active protection of charging safety and significantly reducing the risk of battery failure caused by continuous charging.

[0022] In a third aspect, the present application provides a smart terminal that adopts the following technical solution: An intelligent terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any one of the methods described above.

[0023] In a fourth aspect, the present application provides a computer storage medium capable of storing corresponding programs, which is convenient for reducing the accident rate of charging piles and adopts the following technical solutions: A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by any of the above-mentioned battery detection and control methods for a charging pile.

[0024] In summary, this application includes at least one of the following beneficial technical effects: By acquiring real-time battery data indicators during the charging process and dynamically determining the battery status, charging is immediately stopped when an anomaly is detected and a reminder message is generated and sent to the user terminal. This provides active protection for charging safety and significantly reduces the risk of battery failure caused by continuous charging. Based on fine-grained detection at the sub-battery level, the battery status is quantified by classifying and counting the ratio of normal to abnormal sub-batteries, improving the accuracy of battery pack health assessment. It is particularly suitable for safety monitoring of power battery packs composed of multiple cells. Group management is implemented based on the data indicator distribution range of normal and abnormal sub-batteries, and differentiated charging parameters are set based on the characteristic mean of each group, which effectively improves the charging balance of the battery cells in the battery pack and avoids local overcharging or undercharging problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of a battery detection control method for a charging pile provided in an embodiment of the present application.

[0026] Figure 2 This is a flow chart of a method for determining battery status provided in an embodiment of the present application.

[0027] Figure 3 It is a flow chart of a charging setting method of a charging pile provided in an embodiment of the present application.

[0028] Figure 4 This is a flow chart of a normal battery pack update method provided in an embodiment of the present application.

[0029] Figure 5 This is a flow chart of a sub-battery classification method provided in an embodiment of the present application.

[0030] Figure 6 This is a flow chart of a first method for setting charging parameters for a newly added vehicle provided in an embodiment of the present application.

[0031] Figure 7 This is a flow chart of a second method for setting charging parameters for a newly added vehicle provided in an embodiment of the present application.

[0032] Figure 8 This is a schematic diagram of a battery detection and control system for a charging pile provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1 To the attached Figure 8 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0034] The present application embodiment discloses a battery detection control method for a charging pile. Figure 1 , the method comprising: Step S101 : In response to detecting a charging operation of a charging vehicle, a charging process is performed on a vehicle battery of the charging vehicle.

[0035] A charging operation refers to establishing an electrical connection between a charging vehicle and a charging station. For example, a charging operation involves inserting the charging plug from a charging station into a charging vehicle. A charging vehicle is a land vehicle powered by electricity, including but not limited to pure electric vehicles and hybrid vehicles.

[0036] For example, after the charging pile detects that a charging vehicle is connected to the charging pile, the charging pile will charge the vehicle battery of the charging vehicle.

[0037] Step S102: Send a data transmission request to the charging vehicle.

[0038] The data transmission request is used to request the charging vehicle to transmit data indicators. The data indicators include, but are not limited to, at least one of the vehicle battery's temperature rise value, temperature data, voltage value, and current value. Furthermore, the data indicators may also include vehicle battery parameters, such as the battery type, rated capacity, charging voltage, and charging current.

[0039] Step S103: Receive data indicators returned by the charging vehicle.

[0040] Optionally, if the vehicle's battery is equipped with a temperature sensor, the data indicator may include temperature data. For example, the vehicle will send temperature data to the charging station while charging and transmit the normal battery temperature when not charging. The charging station calculates the temperature rise value based on the difference between the temperature data and the normal battery temperature.

[0041] Optionally, a voltage sensor is provided in the vehicle battery of the charging vehicle, and the data indicator may include a voltage value. Optionally, a current value is provided in the vehicle battery of the charging vehicle, and the data indicator may include a current value.

[0042] Step S104: Obtain the battery status of the charging vehicle according to the data indicators.

[0043] In the embodiment of the present application, the battery status includes a preset status and a non-preset status. The preset status indicates that the vehicle battery is working according to the design standard, and the non-preset status indicates that the vehicle battery is not working according to the design standard.

[0044] Optionally, if the vehicle battery is a single cell, data indicators of the vehicle battery are obtained and compared with preset data indicator thresholds to generate a battery status. For example, if the data indicators include a temperature rise value, if the temperature rise value is less than the preset data indicator threshold, the battery status is set to the preset state; if the temperature rise value is not greater than the preset data indicator threshold, the battery status is set to a non-preset state.

[0045] Optionally, if the battery type of the vehicle battery is a battery pack, the battery status needs to be determined based on the status of each sub-battery in the battery pack. The specific determination process can refer to steps S1041 to S1044, which are as follows: Step S1041: If the battery type in the data indicator is a battery pack, obtain the sub-data indicators of each sub-battery in the vehicle battery.

[0046] Sub-data indicators are data indicators for each sub-battery in the vehicle battery. The content of sub-data indicators is consistent with that of data indicators and will not be repeated here.

[0047] Furthermore, the sub-data indicator also includes an internal code of the sub-battery, and the internal code is used to uniquely identify the sub-battery.

[0048] The sub-batteries involved in this embodiment include both sub-batteries connected in series and sub-batteries connected in parallel.

[0049] Step S1042: Classify the sub-batteries according to the sub-data indicators to obtain normal sub-batteries and abnormal sub-batteries. The sub-data indicators corresponding to normal sub-batteries all fall within the preset range, while the abnormal sub-batteries have at least one sub-data indicator that does not fall within the preset range.

[0050] The preset interval is related to the type of the sub-data indicator. For example, when the sub-data indicator includes a temperature rise value, the preset interval is (5°C, 15°C); when the sub-data indicator includes a voltage value, the preset interval is (300V, 450V).

[0051] Step S1043: Counting a first total number of normal sub-cells and a second total number of abnormal sub-cells.

[0052] The first total number refers to the total number of normal sub-cells, and the second total number refers to the total number of abnormal sub-cells.

[0053] Step S1044: Generate a battery status based on the ratio of the second total to the first total.

[0054] Optionally, if the ratio of the second total to the first total is less than a preset ratio threshold, the battery status is set to a preset state; if the ratio of the second total to the first total is not less than the preset ratio threshold, the battery status is set to a non-preset state. The preset ratio threshold is an empirical value and can be adjusted by technicians based on actual needs. For example, the preset ratio threshold is set to 0.5%.

[0055] Step S105: If the battery status is the preset status, then continue to execute the step of charging the vehicle battery of the charging vehicle.

[0056] If the battery status is the preset status, it means that the vehicle battery is normal during the charging process and the charging pile can continue to charge the vehicle.

[0057] Step S106: If the battery status is not a preset status, the charging process for the vehicle battery is stopped, and a reminder message is generated according to the battery status.

[0058] If the battery status is not in the preset state, it means that the vehicle battery has experienced an abnormality during charging, which may include abnormally high battery temperature, unstable charging current, battery overcharge, etc. In this case, to ensure charging safety, it is necessary to stop charging the vehicle battery immediately.

[0059] The reminder message includes a verbal description of the battery status.

[0060] Step S107: Send a reminder message to the user terminal corresponding to the charging vehicle.

[0061] Optionally, vehicle information of the charging vehicle is obtained, the vehicle information including: determining a user terminal based on the vehicle information; and sending a reminder message to the user terminal.

[0062] By adopting the above technical solution, by obtaining battery data indicators in real time during the charging process and dynamically judging the battery status, charging is immediately stopped when an abnormality is detected and a reminder message is generated and sent to the user terminal, thus achieving active protection of charging safety and significantly reducing the risk of battery failure caused by continuous charging.

[0063] In the following embodiment, when the battery state is a preset state, it is necessary to set the charging mode of the charging pile to ensure that the charging pile charges the vehicle battery reasonably. Therefore, the embodiment of the present application discloses a charging setting method for the charging pile. Figure 3 , the method comprising: Step S301: If the battery state is a preset state, a first value range of a sub-data indicator of a normal sub-battery and a second value range of a sub-data indicator of an abnormal sub-battery are obtained.

[0064] Optionally, the maximum value among the sub-data indexes of the normal sub-battery is obtained to obtain a first maximum value, and the minimum value among the sub-data indexes of the normal sub-battery is obtained to obtain a first minimum value. The second minimum value and the second maximum value are taken as endpoints to form an interval to obtain a second value range.

[0065] Optionally, the maximum value among the sub-data indexes of the abnormal sub-battery is obtained to obtain a second maximum value, and the minimum value among the sub-data indexes of the abnormal sub-battery is obtained to obtain a second minimum value. The second minimum value and the second maximum value are taken as endpoints to form an interval to obtain a second value range.

[0066] Step S302: Divide the first value range into a plurality of first value intervals.

[0067] For example, the length of the first value range is obtained. A first number of partitions is generated based on the interval length, where the first number of partitions is positively correlated with the interval length. The first value range is split according to the first number of partitions to obtain a first value interval. For example, if the first value range is (4°C, 10°C), and the first number of partitions is set to 3, the resulting first value interval includes (4°C, 6°C), (6°C, 8°C), and (8°C, 10°C).

[0068] Step S303: Divide the second value range into a plurality of second value intervals.

[0069] Exemplarily, the interval length of the second value range is obtained, a second number of divisions is generated based on the interval length, and the second value range is split according to the second number of divisions to obtain a second value interval.

[0070] Step S304: grouping the normal sub-batteries according to the first value interval to obtain normal sub-battery groups.

[0071] Normal sub-batteries that fall within the same value range are grouped together. For example, if the first value range includes (4°C, 6°C), (6°C, 8°C), and (8°C, 10°C), the normal sub-batteries corresponding to the data indicators that fall within the first value range are grouped together.

[0072] Step S305: setting the charging parameters of the normal sub-battery group according to the mean value of the first value interval corresponding to the normal sub-battery group.

[0073] The charging parameters include at least one of charging voltage, charging current, charging power, and current type.

[0074] Optionally, the left endpoint and the right endpoint of the first value interval are obtained, and the mean of the left endpoint and the right endpoint is used as the mean of the first value interval.

[0075] Furthermore, a charging parameter corresponding to the mean value of the first value interval is retrieved from a preset first mapping table, and the first value interval is used to record a mapping relationship between the mean value of the first value interval and the charging parameter.

[0076] Step S306: Group the abnormal sub-batteries according to the second value interval to obtain abnormal sub-battery groups.

[0077] Abnormal sub-batteries falling into the same value range are grouped together.

[0078] Step S307: setting the charging parameters of the abnormal sub-battery group according to the mean value of the second value interval corresponding to the abnormal sub-battery group.

[0079] Optionally, the left endpoint and the right endpoint of the second value interval are obtained, and the mean of the left endpoint and the right endpoint is used as the mean of the second value interval.

[0080] Furthermore, the charging parameter corresponding to the mean value of the second value interval is retrieved from a preset second mapping table, and the second value interval is used to record the mapping relationship between the mean value of the second value interval and the charging parameter.

[0081] By adopting the above technical solution, group management is implemented according to the data indicator distribution range of normal sub-batteries and abnormal sub-batteries, and differentiated charging parameters are set based on the characteristic mean of each group, which effectively improves the charging balance of the battery cells in the battery pack and avoids local overcharging or undercharging problems.

[0082] In actual scenarios, different charging vehicles classify battery packs differently. The classification of battery packs according to the above embodiment may be different from the design of the charging vehicle itself, and the grouping needs to be updated. Therefore, the embodiment of the present application discloses a method for updating a normal battery pack. Figure 4 , the method comprising: Step S401: Send a battery grouping request to a charging vehicle.

[0083] The battery grouping request is used to obtain the actual grouping of charging vehicles.

[0084] Step S402: receiving the actual sub-battery grouping returned by the charging vehicle.

[0085] The actual sub-battery grouping indicates the actual grouping of each sub-battery in the charging vehicle.

[0086] Step S403: Temporarily grouping normal sub-batteries according to the first value interval to obtain temporary sub-battery groups.

[0087] Normal sub-batteries that fall within the same value range are grouped together. For example, if the first value range includes (4°C, 6°C), (6°C, 8°C), and (8°C, 10°C), the normal sub-batteries corresponding to the data indicators that fall within the first value range are grouped together.

[0088] Step S404: obtaining a normal sub-battery group according to the actual sub-battery grouping and the temporary sub-battery grouping.

[0089] Optionally, the sub-battery groupings that are inconsistent with the actual sub-battery groupings in the temporary sub-battery groupings are screened out to obtain inconsistent sub-battery groupings. The inconsistent sub-battery groupings in the temporary sub-battery groupings are adjusted with reference to the actual sub-battery groupings to obtain normal sub-battery groupings.

[0090] By adopting the above technical solution, the actual battery grouping data returned by the request vehicle is verified and compared with the temporary grouping generated locally, which corrects the grouping error caused by data indicator deviation and ensures the reliability of charging parameter setting.

[0091] The embodiment of the present application discloses a method for classifying sub-batteries. Figure 5 , the method comprising: Step S501: when the data indicator includes a current value, obtain the current value of each sub-battery and a timestamp corresponding to the current value.

[0092] The current value refers to the actual current value of the sub-battery during charging. The timestamp is used to record the time when the current value was generated.

[0093] Step S502: Generate a target current curve according to the current value and the timestamp.

[0094] The target current curve is used to record the relationship between current value and time.

[0095] For example, a current scatter plot is generated with the timestamp as the horizontal axis and the current value as the vertical axis, and a fitting process is performed on the current scatter plot to obtain a target current curve.

[0096] Step S503: Obtain the battery model and battery operating time of the vehicle battery.

[0097] The battery model is composed of the vehicle battery's electrochemical system, shape, size, and capacity. The electrochemical system refers to the operating principle of the vehicle battery. For example, vehicle batteries are classified according to the electrochemical system into ternary lithium batteries, lithium iron phosphate batteries, etc.

[0098] Battery runtime refers to the total runtime of the vehicle's battery.

[0099] Step S504: Determine a standard current curve according to the battery model and battery operating time.

[0100] The standard current curve is the current curve of a vehicle battery during normal charging, based on a specific battery model and battery operating time. The standard current curve is a preset, standardized curve. The charging station can retrieve the corresponding standard current curve from the database based on the battery model and battery operating time.

[0101] Among them, technicians can generate a standard current curve through repeated experiments.

[0102] Step S505: Calculate the similarity between the target current curve and the standard current curve.

[0103] Set a time checkpoint. In the target current curve and the standard current curve, determine the target current point and the standard current point based on the time checkpoint. Calculate the difference between the target current point and the standard current point to obtain the current difference. Repeat the above three steps for all time points in the target current curve and calculate the current difference to obtain a set of current differences. Calculate the mean of this set of current differences to obtain the similarity.

[0104] Step S506: Classify the sub-batteries according to the similarity to obtain normal sub-batteries and abnormal sub-batteries.

[0105] When the similarity is greater than a preset similarity threshold, the sub-battery is classified as an abnormal sub-battery, and when the similarity is less than the preset similarity threshold, the sub-battery is classified as a normal sub-battery.

[0106] By adopting the above technical solution, combining the time dimension to analyze the current change curve, and performing similarity comparison with the standard curve corresponding to the battery type and age, the ability to identify abnormal conditions during dynamic charging is enhanced.

[0107] The embodiment of the present application discloses a method for setting charging parameters of a newly added vehicle. Figure 6 , the method comprising: Step S601: When it is detected that the charging vehicle is a newly added vehicle, an upper limit value of a charging parameter is obtained.

[0108] The upper limit value of the charging parameter includes at least one of the charging voltage, the charging current, and the charging power.

[0109] Optionally, after the charging pile obtains the battery operating time of the charging vehicle, if the battery operating time is less than a preset time threshold, the charging vehicle is a newly added vehicle.

[0110] The upper limit of the charging parameter is the maximum value that the battery of the charging vehicle can withstand. The upper limit of the charging parameter can be a preset empirical value or obtained from the charging vehicle.

[0111] Step S602: setting a charging parameter variation curve according to the upper limit value of the charging parameter, where the charging parameter variation curve represents a curve of the charging parameter variation over time.

[0112] Optionally, a charging parameter variation curve corresponding to the upper limit of the charging parameter is retrieved from a preset curve database. The curve database is used to store the corresponding relationship between the upper limit of the charging parameter and the charging parameter variation curve. The data in the curve database can be obtained by technicians through repeated experiments.

[0113] Step S603: charging the vehicle battery according to the charging parameter change curve, and updating the data indicators in real time.

[0114] For example, by charging a vehicle according to a charging parameter variation curve, the performance of the charged vehicle under the standardized charging parameter variation curve can be obtained.

[0115] Step S604: Calculate the rate of change of the data indicator.

[0116] Exemplarily, the change value of the data indicator per unit time is calculated to obtain the change rate in this step.

[0117] Step S605: when the target change rate in the change rate is greater than a preset change rate threshold, determining and recording a target charging parameter corresponding to the target change rate.

[0118] In other embodiments, if there is no target change rate greater than the preset change rate threshold, the vehicle battery continues to be charged according to the charging parameter change curve.

[0119] When the target change rate in the change rate is greater than the preset change rate threshold, it means that the vehicle battery may be damaged when affected by the target charging parameters. Therefore, it is necessary to record the scenario of the target charging parameters for subsequent improvement.

[0120] By adopting the above technical solution, a progressive charging parameter adjustment strategy is adopted for new vehicles. The optimal charging parameter critical point is automatically captured by monitoring the change rate of data indicators, achieving rapid and safe adaptation of vehicles without historical data.

[0121] The embodiment of the present application discloses a second method for setting charging parameters for a newly added vehicle. Figure 6 , the method comprising: Step S701: Obtain the historical charging records of the charging vehicle.

[0122] The historical charging records are provided by the charging pile system. The charging pile system refers to a system formed by the interconnection of several charging piles, and the charging piles can communicate with each other.

[0123] Step S702: Count the historical charging modes of the charging vehicles based on the historical charging records.

[0124] The historical charging mode includes at least one of a charging period, a charging duration, a charging voltage, a charging current, and a charging power of the charging vehicle.

[0125] Step S703: extracting charging features from historical charging methods.

[0126] Optionally, a feature extraction module is called to extract features of the historical charging mode to obtain charging features. Furthermore, the charging features are represented in vector form.

[0127] Step S704: Use the charging characteristics to update the target charging parameters.

[0128] Exemplarily, a parameter update model is called to perform data processing on the target charging parameters and charging characteristics, so that the target charging parameters are updated.

[0129] By adopting the above technical solution, historical charging characteristics are used to optimize real-time charging parameters, and the historical optimal strategy is migrated to the current charging scenario through a feature matching mechanism, thereby improving the adaptation efficiency of the charging strategy.

[0130] Based on the same inventive concept, the present embodiment provides a battery detection and control system for a charging pile, including: Acquisition module 801, used to obtain charging operation and data indicators; Memory 802, used to store a program of the battery detection control method of the charging pile; Processor 803, the program in the memory can be loaded and executed by the processor to implement the battery detection control method of the charging pile.

[0131] By adopting the above technical solution, by obtaining battery data indicators in real time during the charging process and dynamically judging the battery status, charging is immediately stopped when an abnormality is detected and a reminder message is generated and sent to the user terminal, thus achieving active protection of charging safety and significantly reducing the risk of battery failure caused by continuous charging.

[0132] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0133] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and executed by a battery detection control method for a charging pile.

[0134] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0135] Based on the same inventive concept, an embodiment of the present application provides a smart terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute a battery detection control method for a charging pile.

[0136] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0137] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise stated, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise stated, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A battery detection and control method for a charging pile, characterized in that: The method comprises: In response to detecting a charging operation of a charging vehicle, performing a charging process on a vehicle battery of the charging vehicle; Sending a data transmission request to the charging vehicle; Receiving data indicators returned by the charging vehicle; Obtaining a battery status of the charging vehicle according to the data indicator; If the battery state is the preset state, then continue to perform the step of charging the vehicle battery of the charging vehicle; If the battery status is not a preset status, stopping charging the vehicle battery and generating a reminder message according to the battery status; Sending the reminder message to the user terminal corresponding to the charging vehicle; Obtaining the battery status of the charging vehicle according to the data indicator includes: If the battery type in the data indicator is a battery pack, obtaining sub-data indicators of each sub-battery in the vehicle battery; Classifying the sub-batteries according to the sub-data indicators to obtain normal sub-batteries and abnormal sub-batteries, wherein the sub-data indicators corresponding to the normal sub-batteries all fall within a preset range, and the abnormal sub-batteries have at least one sub-data indicator that does not fall within the preset range; Counting a first total number of the normal sub-cells and a second total number of the abnormal sub-cells; The battery status is generated based on a ratio of the second total to the first total.

2. The battery detection control method for a charging pile according to claim 1, characterized in that: The method further comprises: If the battery state is the preset state, obtaining a first value range of the sub-data indicator of the normal sub-battery and a second value range of the sub-data indicator of the abnormal sub-battery; Dividing the first value range into a plurality of first value intervals; Dividing the second value range into a plurality of second value intervals; Grouping the normal sub-batteries according to the first value interval to obtain a normal sub-battery group; Setting the charging parameters of the normal sub-battery group according to the mean value of the first value interval corresponding to the normal sub-battery group; Grouping the abnormal sub-batteries according to the second value interval to obtain abnormal sub-battery groups; The charging parameters of the abnormal sub-battery group are set according to the mean value of the second value interval corresponding to the abnormal sub-battery group.

3. The battery detection control method for a charging pile according to claim 2, characterized in that: The grouping the normal sub-batteries according to the first value interval to obtain normal sub-battery groups includes: Sending a battery grouping request to the charging vehicle; receiving the actual sub-battery grouping returned by the charging vehicle; Temporarily grouping the normal sub-batteries according to the first value interval to obtain temporary sub-battery groups; The normal sub-battery group is obtained according to the actual sub-battery grouping and the temporary sub-battery grouping.

4. The battery detection control method for a charging pile according to claim 1, characterized in that: The classifying the sub-batteries according to the sub-data indicators to obtain normal sub-batteries and abnormal sub-batteries includes: In a case where the data indicator includes a current value, obtaining the current value of each of the sub-batteries and a timestamp corresponding to the current value; generating a target current curve according to the current value and the timestamp; Obtaining the battery model and battery operating time of the vehicle battery; Determine a standard current curve according to the battery model and the battery operating time; Calculating the similarity between the target current curve and the standard current curve; The sub-cells are classified according to the similarities to obtain the normal sub-cells and the abnormal sub-cells.

5. The battery detection control method for a charging pile according to claim 1, characterized in that: The method further comprises: When detecting that the charging vehicle is a newly added vehicle, obtaining an upper limit value of a charging parameter; Setting a charging parameter variation curve according to the charging parameter upper limit, wherein the charging parameter variation curve represents a curve of the charging parameter variation over time; Charging the vehicle battery according to the charging parameter change curve and updating the data indicators in real time; Calculating the rate of change of the data indicator; When the target change rate in the change rate is greater than a preset change rate threshold, a target charging parameter corresponding to the target change rate is determined and recorded.

6. The battery detection control method for a charging pile according to claim 5, characterized in that: The method further comprises: Obtaining historical charging records of the charging vehicle; According to the historical charging records, statistics are collected on the historical charging mode of the charging vehicle; extracting charging features from the historical charging patterns; The target charging parameter is updated using the charging characteristics.

7. A battery detection and control system for a charging pile, characterized in that: The system is used to execute the battery detection control method of the charging pile according to any one of claims 1 to 6, comprising: Acquisition module, used to obtain charging operation and data indicators; A memory, used to store a program of the battery detection control method of the charging pile; The program in the memory can be loaded and executed by the processor to implement the battery detection control method of the charging pile.

8. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 6.

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