A battery detection control method and system of a charging pile, a terminal and a storage medium

Abstract

The application relates to a battery detection control method and system of a charging pile, a terminal and a storage medium, and relates to the technical field of battery detection control. The method comprises the following steps: in response to detecting a charging operation of a charging vehicle, performing charging processing on a vehicle battery of the charging vehicle; sending a data transmission request to the charging vehicle; receiving a data index returned by the charging vehicle; obtaining a battery state of the charging vehicle according to the data index; if the battery state is a preset state, continuing to perform the step of performing charging processing on the vehicle battery of the charging vehicle; if the battery state is a non-pre-set state, stopping the charging processing on 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 application has the effect of reducing the accident rate of the charging pile.

Description

TECHNICAL FIELD

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

[0002] With the rapid development of the new energy automobile industry, the safety and intelligent level of the charging pile as the core infrastructure directly affect the user experience and the battery life.

[0003] The related technology sets a detection module on the charging pile, detects the current value and voltage value output by the charging pile to the vehicle through the detection module, judges whether the current value exceeds the preset current threshold, and judges whether the voltage value exceeds the preset voltage threshold. If neither exceeds, the charging pile continues to charge the vehicle; if one of them exceeds, the output power of the charging pile is reduced.

[0004] For the related technology in the above, the charging pile is prone to overcharging accidents, which damages the vehicle battery. SUMMARY

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

[0006] In the first aspect, the application provides a battery detection control method of a charging pile, which adopts the following technical scheme:

[0007] A battery detection control method of a charging pile, comprising:

[0008] In response to detecting the charging operation of the charging vehicle, performing charging processing on the vehicle battery of the charging vehicle;

[0009] Sending a data transmission request to the charging vehicle;

[0010] Receiving the data index returned by the charging vehicle;

[0011] Obtaining the battery state of the charging vehicle according to the data index;

[0012] If the battery state is a preset state, the step of performing charging processing on the vehicle battery of the charging vehicle is continued;

[0013] If the battery state is a non-preset state, stop charging processing on the vehicle battery, and generate a reminder message according to the battery state;

[0014] Sending the reminder message to the user terminal corresponding to the charging vehicle.

[0015] By adopting the technical scheme, the battery data indexes in the charging process are acquired in real time, the battery state is dynamically judged, the charging is stopped immediately when the abnormality is detected, and the reminding message is generated and sent to the user terminal, so that the active protection of the charging safety is realized, and the risk of battery failure caused by continuous charging is significantly reduced.

[0016] Optionally, if the battery type in the data index is a battery pack, the sub-data indexes of each sub-battery in the vehicle battery are acquired;

[0017] The sub-batteries are classified according to the sub-data indexes, to obtain normal sub-batteries and abnormal sub-batteries, the sub-data indexes corresponding to the normal sub-batteries all fall into a preset interval, and at least one sub-data index of the abnormal sub-batteries does not fall into the preset interval;

[0018] The first total number of the normal sub-batteries and the second total number of the abnormal sub-batteries are counted;

[0019] The battery state is generated based on the ratio of the second total number to the first total number.

[0020] By adopting the technical scheme, the battery state is quantified by classifying and counting the number ratio of normal and abnormal sub-batteries based on the fine-grained detection of the sub-battery level, and the accuracy of the health degree evaluation of the battery pack is improved, which is especially suitable for the safety monitoring of the power battery pack composed of multiple battery cells.

[0021] Optionally, if the battery state is the preset state, the first value range of the sub-data indexes of the normal sub-batteries and the second value range of the sub-data indexes of the abnormal sub-batteries are acquired;

[0022] The first value range is divided into a plurality of first value intervals;

[0023] The second value range is divided into a plurality of second value intervals;

[0024] The normal sub-batteries are grouped according to the first value intervals, to obtain normal sub-battery groups;

[0025] The charging parameters of the normal sub-battery groups are set according to the mean values of the first value intervals corresponding to the normal sub-battery groups;

[0026] The abnormal sub-batteries are grouped according to the second value intervals, to obtain abnormal sub-battery groups;

[0027] The charging parameters of the abnormal sub-battery groups are set according to the mean values of the second value intervals corresponding to the abnormal sub-battery groups.

[0028] By adopting the technical scheme, the normal sub-batteries and the abnormal sub-batteries are grouped and managed according to the data index distribution intervals of the normal sub-batteries and the abnormal sub-batteries, and the differentiated charging parameters are set based on the characteristic mean values of the groups, so that the charging uniformity of the battery cells in the battery pack is effectively improved, and the problems of local overcharging or undercharging are avoided.

[0029] Optionally, a battery grouping request is sent to the charging vehicle;

[0030] The actual sub-battery grouping returned by the charging vehicle is received.

[0031] The normal sub-batteries are temporarily grouped according to the first value interval, to obtain temporary sub-battery grouping.

[0032] The normal sub-battery group is obtained according to the actual sub-battery grouping and the temporary sub-battery grouping.

[0033] By adopting the technical scheme, the actual battery grouping data returned by the request vehicle is compared with the locally generated temporary grouping, the grouping error caused by the deviation of the data index is corrected, and the reliability of the charging parameter setting is ensured.

[0034] Optionally, in the case where the data index includes a current value, the current value of each sub-battery and a timestamp corresponding to the current value are obtained.

[0035] A target current curve is generated according to the current value and the timestamp.

[0036] The battery model and the battery operation time length of the vehicle battery are obtained.

[0037] A standard current curve is determined according to the battery model and the battery operation time length.

[0038] The similarity between the target current curve and the standard current curve is calculated.

[0039] The sub-batteries are classified according to the similarity, to obtain the normal sub-batteries and the abnormal sub-batteries.

[0040] By adopting the technical scheme, the current change curve is analyzed in combination with the time dimension, the similarity is compared with the standard curve corresponding to the battery type and the service life, and the identification ability of the abnormal state in the dynamic charging process is enhanced.

[0041] Optionally, in the case where it is detected that the charging vehicle is a new vehicle, an upper limit value of the charging parameter is obtained.

[0042] A charging parameter change curve is set according to the upper limit value of the charging parameter, and the charging parameter change curve represents the change curve of the charging parameter with time.

[0043] The vehicle battery is charged according to the charging parameter change curve, and the data index is updated in real time;

[0044] The change rate of the data index is calculated;

[0045] In the case where the target change rate in the change rate is greater than a preset change rate threshold, the target charging parameter corresponding to the target change rate is determined and recorded.

[0046] By adopting the above technical solution, the incremental charging parameter adjustment strategy is adopted for the newly added vehicle, and the optimal charging parameter critical point is automatically captured by monitoring the data index change rate, so that the rapid and safe adaptation of the vehicle without historical data is realized.

[0047] Optionally, the historical charging record of the charging vehicle is obtained;

[0048] According to the historical charging record, the historical charging mode of the charging vehicle is counted;

[0049] The charging feature is extracted from the historical charging mode;

[0050] The target charging parameter is updated using the charging feature.

[0051] By adopting the above technical solution, the historical charging feature is used to optimize the real-time charging parameter, and the historical optimal strategy is migrated to the current charging scene through the feature matching mechanism, so that the adaptation efficiency of the charging strategy is improved.

[0052] In a second aspect, the application provides a battery detection control system of a charging pile, which adopts the following technical solution:

[0053] A battery detection control system of a charging pile, comprising:

[0054] An acquisition module for acquiring charging operations and data indexes;

[0055] A memory for storing the program of the battery detection control method of the charging pile;

[0056] A processor, the program in the memory can be loaded and executed by the processor and implement the battery detection control method of the charging pile.

[0057] By adopting the above technical solution, the battery data index in the charging process is acquired in real time, and the battery state is dynamically judged, and when an abnormality is detected, the charging is immediately stopped and a reminder message is sent to the user terminal, so that the active protection of the charging safety is realized, and the risk of battery failure caused by continuous charging is significantly reduced.

[0058] In a third aspect, the application provides a smart terminal, which adopts the following technical solution:

[0059] An intelligent terminal comprises a memory and a processor, the memory storing a computer program capable of being loaded and executed by the processor to perform the method of any one of the above.

[0060] In a fourth aspect, the application provides a computer storage medium capable of storing a corresponding program, having the characteristics of facilitating the reduction of the accident rate of the charging pile, and adopting the following technical solution:

[0061] A computer-readable storage medium stores a computer program capable of being loaded and executed by a processor to perform any of the above battery detection control methods of the charging pile.

[0062] In summary, the application includes at least one of the following beneficial technical effects:

[0063] By acquiring battery data indicators in real time during the charging process and dynamically judging the battery state, the charging is stopped immediately when an abnormality is detected, and a reminder message is sent to the user terminal, thereby achieving active protection of charging safety and significantly reducing the risk of battery failure caused by continuous charging;

[0064] Based on the fine-grained detection of sub-batteries, the number ratio of normal and abnormal sub-batteries is classified and counted to quantify the battery state, thereby improving the accuracy of the health assessment of the battery pack, and the safety monitoring of the power battery pack composed of multiple battery cells is particularly suitable;

[0065] According to the data indicator distribution interval of normal and abnormal sub-batteries, grouping management is implemented, and differential charging parameters are set based on the characteristic mean value of each group, thereby effectively improving the charging balance of the battery cells in the battery pack and avoiding the problem of local overcharging or undercharging. BRIEF DESCRIPTION OF DRAWINGS

[0066] Figure 1 is a flowchart of a battery detection control method of a charging pile provided by an embodiment of the application.

[0067] Figure 2 is a flowchart of a battery state judgment method provided by an embodiment of the application.

[0068] Figure 3 is a flowchart of a charging setting method of a charging pile provided by an embodiment of the application.

[0069] Figure 4 is a flowchart of a normal battery pack updating method provided by an embodiment of the application.

[0070] Figure 5 is a flowchart of a sub-battery classification method provided by an embodiment of the application.

[0071] Figure 6is a flowchart of a method for setting charging parameters of a newly added vehicle provided by an embodiment of the present application.

[0072] Figure 7 is a flowchart of a method for setting charging parameters of a newly added vehicle provided by an embodiment of the present application.

[0073] Figure 8 is a schematic diagram of a battery detection control system of a charging pile provided by an embodiment of the present application. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solutions and advantages of the present application clearer, the following will combine the accompanying drawings to further describe the present application in detail. Figure 1 to Figure 8 and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0075] An embodiment of the present application discloses a battery detection control method of a charging pile. Referring to Figure 1 , the method comprises:

[0076] Step S101: in response to detecting a charging operation of a charging vehicle, performing charging processing on a vehicle battery of the charging vehicle.

[0077] The charging operation refers to the operation of establishing an electrical connection between the charging vehicle and the charging pile. For example, the charging operation refers to inserting a charging gun on the charging pile into the charging vehicle. The charging vehicle refers to a land vehicle powered by electrical energy, including but not limited to any one of a pure electric vehicle and a hybrid vehicle.

[0078] For example, after the charging pile detects that the charging vehicle is connected to the charging pile, the charging pile will perform charging processing on the vehicle battery of the charging vehicle.

[0079] Step S102: sending a data transmission request to the charging vehicle.

[0080] The data transmission request is used to request the charging vehicle to send data indicators. The data indicators include but are not limited to at least one of a temperature rise value, temperature data, voltage value, and current value of the vehicle battery. Further, the data indicators can also include parameters of the vehicle battery, such as the battery type, rated capacity, charging voltage, and charging current of the vehicle battery.

[0081] Step S103: receiving the data indicators returned by the charging vehicle.

[0082] Optionally, the vehicle battery of the charging vehicle is provided with a temperature sensor, and the data index can include temperature data. For example, the charging vehicle returns temperature data to the charging pile when charging, and transmits the normal battery temperature when not charging. The charging pile obtains the temperature rise value according to the difference between the temperature data and the normal battery temperature.

[0083] Optionally, the vehicle battery of the charging vehicle is provided with a voltage sensor, and the data index can include voltage value. Optionally, the vehicle battery of the charging vehicle is provided with a current value, and the data index can include current value.

[0084] Step S104: obtaining the battery state of the charging vehicle according to the data index.

[0085] In the embodiment of the present application, the battery state includes a preset state and a non-preset state. The preset state means that the vehicle battery is working according to the design standard, and the non-preset state means that the vehicle battery is not working according to the design standard.

[0086] Optionally, if the battery type of the vehicle battery is a single battery, the data index of the vehicle battery is obtained, and the data index is compared with the preset data index threshold to generate the battery state. For example, if the temperature rise value is less than the preset data index threshold, the battery state is set to the preset state; if the temperature rise value is not greater than the preset data index threshold, the battery state is set to the non-preset state.

[0087] Optionally, if the battery type of the vehicle battery is a battery pack, the battery state needs to be determined according to the state of each sub-battery in the battery pack. The specific determination process can refer to steps S1041 to S1044, and the specific content is as follows:

[0088] Step S1041: if the battery type in the data index is a battery pack, the sub-data index of each sub-battery in the vehicle battery is obtained.

[0089] The sub-data index is the data index of each sub-battery in the vehicle battery. The content included in the sub-data index is consistent with the data index, which will not be described here.

[0090] Further, the sub-data index further includes the internal code of the sub-battery, and the internal code is used to uniquely identify the sub-battery.

[0091] The sub-battery involved in the embodiment includes both series sub-batteries and parallel sub-batteries.

[0092] Step S1042: classifying the sub-batteries according to the sub-data index to obtain normal sub-batteries and abnormal sub-batteries. The sub-data index corresponding to the normal sub-batteries all falls within the preset interval, and at least one sub-data index of the abnormal sub-batteries does not fall within the preset interval.

[0093] The preset interval is related to the type of the sub-data index. For example, when the sub-data index includes a temperature rise value, the preset interval is (5℃, 15℃); when the sub-data index includes a voltage value, the preset interval is (300V, 450V).

[0094] Step S1043: Count the first total number of normal sub-cells and the second total number of abnormal sub-cells.

[0095] The first total number refers to the total number of normal sub-cells. The second total number refers to the total number of abnormal sub-cells.

[0096] Step S1044: Generate the battery state based on the ratio of the second total number to the first total number.

[0097] Optionally, if the ratio of the second total number to the first total number is less than a preset ratio threshold, the battery state is set to a preset state; if the ratio of the second total number to the first total number is not less than the preset ratio threshold, the battery state is set to a non-preset state. The preset ratio threshold is an empirical value, which can be adjusted by technicians according to actual needs. For example, the preset ratio threshold is set to 0.5%.

[0098] Step S105: If the battery state is the preset state, continue to perform the step of charging the vehicle battery of the charging vehicle.

[0099] If the battery state is the preset state, it indicates that the vehicle battery is normal during charging, and the charging pile can continue to charge the charging vehicle.

[0100] Step S106: If the battery state is the non-preset state, stop charging the vehicle battery and generate a reminder message according to the battery state.

[0101] If the battery state is the non-preset state, it indicates that the vehicle battery has an abnormality during charging, which may be an abnormal temperature rise of the battery, unstable charging current, overcharging of the battery, etc. At this time, in order to ensure charging safety, it is necessary to stop charging the vehicle battery in time.

[0102] The reminder message includes a language description of the battery state.

[0103] Step S107: Send the reminder message to the user terminal corresponding to the charging vehicle.

[0104] Optionally, vehicle information of the charging vehicle is obtained, and the vehicle information includes. The user terminal is determined according to the vehicle information. The reminder message is sent to the user terminal.

[0105] By adopting the technical scheme, the battery data indexes in the charging process are acquired in real time, the battery state is dynamically judged, the charging is stopped immediately when the abnormality is detected, and the reminding message is generated and sent to the user terminal, so that the active protection of the charging safety is realized, and the risk of battery failure caused by continuous charging is significantly reduced.

[0106] In the following embodiments, when the battery state is a preset state, the charging mode of the charging pile needs to be set to ensure that the charging pile reasonably charges the vehicle battery. Therefore, the application embodiment discloses a charging setting method of a charging pile. Referring to Figure 3 The method comprises the following steps.

[0107] Step S301: If the battery state is a preset state, acquiring a first value range of a sub-data index of a normal sub-battery and a second value range of a sub-data index of an abnormal sub-battery.

[0108] Optionally, the maximum value in the sub-data index of the normal sub-battery is acquired to obtain a first maximum value, and the minimum value in the sub-data index of the normal sub-battery is acquired 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 the second value range.

[0109] Optionally, the maximum value in the sub-data index of the abnormal sub-battery is acquired to obtain a second maximum value, and the minimum value in the sub-data index of the abnormal sub-battery is acquired 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 the second value range.

[0110] Step S302: The first value range is divided into a plurality of first value intervals.

[0111] For example, if the first value range is (4℃, 10℃), and the first division number is 3, the obtained first value intervals include (4℃, 6℃), (6℃, 8℃) and (8℃, 10℃).

[0112] Step S303: The second value range is divided into a plurality of second value intervals.

[0113] For example, if the first value range is (4℃, 10℃), and the first division number is 3, the obtained first value intervals include (4℃, 6℃), (6℃, 8℃) and (8℃, 10℃).

[0114] Step S304: The normal sub-batteries are grouped according to the first value intervals to obtain normal sub-battery groups.

[0115] The normal sub-batteries falling into the same value interval are grouped. For example, when the first value interval includes (4℃, 6℃), (6℃, 8℃) and (8℃, 10℃), the normal sub-batteries corresponding to the data indicators falling into the first value interval are grouped.

[0116] Step S305: setting the charging parameter of the normal sub-battery group according to the mean value of the first value interval corresponding to the normal sub-battery group.

[0117] The charging parameter includes at least one of a charging voltage, a charging current, a charging power and a current type.

[0118] Optionally, the left end point and the right end point of the first value interval are obtained. The mean value of the left end point and the right end point is taken as the mean value of the first value interval.

[0119] Further, in the preset first mapping table, the charging parameter corresponding to the mean value of the first value interval is searched, and the first value interval is used to record the mapping relationship between the mean value of the first value interval and the charging parameter.

[0120] Step S306: grouping the abnormal sub-batteries according to the second value interval, to obtain an abnormal sub-battery group.

[0121] The abnormal sub-batteries falling into the same value interval are grouped.

[0122] Step S307: setting the charging parameter of the abnormal sub-battery group according to the mean value of the second value interval corresponding to the abnormal sub-battery group.

[0123] Optionally, the left end point and the right end point of the second value interval are obtained. The mean value of the left end point and the right end point is taken as the mean value of the second value interval.

[0124] Further, in the preset second mapping table, the charging parameter corresponding to the mean value of the second value interval is searched, 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.

[0125] By adopting the above technical solution, the normal sub-batteries and the abnormal sub-batteries are grouped according to the data indicator distribution interval, and the differentiated charging parameter is set based on the characteristic mean value of each group, so that the charging balance of the battery cells in the battery group is effectively improved, and the problems of local overcharging or undercharging are avoided.

[0126] In actual scenarios, different charging vehicles have different classifications of the battery group, and the classification of the battery group according to the above embodiment may be different from the design of the charging vehicle itself, so the grouping needs to be updated. Therefore, the embodiment of the present application discloses an updating method of a normal battery group. Referring to Figure 4 The method comprises:

[0127] Step S401: sending a battery grouping request to the charging vehicle.

[0128] The battery grouping request is used to obtain the actual grouping of the charging vehicle.

[0129] Step S402: receiving the sub-battery actual grouping returned by the charging vehicle.

[0130] The sub-battery actual grouping indicates the actual grouping of each sub-battery in the charging vehicle.

[0131] Step S403: temporarily grouping the normal sub-batteries according to the first value interval to obtain a temporary sub-battery grouping.

[0132] The normal sub-batteries falling into the same value interval are grouped into one group. For example, when the first value interval includes (4℃, 6℃), (6℃, 8℃) and (8℃, 10℃), the normal sub-batteries corresponding to the data indicators falling into the first value interval are grouped into one group.

[0133] Step S404: obtaining the normal sub-battery group according to the sub-battery actual grouping and the temporary sub-battery grouping.

[0134] Optionally, the conflicting sub-battery groupings in the temporary sub-battery grouping are screened out to obtain a conflicting sub-battery grouping. The conflicting sub-battery grouping in the temporary sub-battery grouping is adjusted with reference to the sub-battery actual grouping to obtain the normal sub-battery grouping.

[0135] By using the above technical solution, the actual battery grouping data returned by the vehicle is compared and checked with the locally generated temporary grouping, the grouping error caused by the deviation of the data indicators is corrected, and the reliability of the charging parameter setting is ensured.

[0136] Embodiments of the present application disclose a sub-battery classification method. Referring to Figure 5 The method comprises:

[0137] Step S501: in the case where the data indicators include current values, obtaining the current values of each sub-battery and the time stamps corresponding to the current values.

[0138] The current value refers to the actual current size of the sub-battery during charging. The time stamp is used to record the time when the current value is generated.

[0139] Step S502: generating a target current curve according to the current values and the time stamps.

[0140] The target current curve is used to record the relationship between the current values and time.

[0141] An exemplary current scatter plot is generated with time stamp as the horizontal axis and current value as the vertical axis.

[0142] Step S503: Obtain the battery model and battery operation time length of the vehicle battery.

[0143] The battery model is composed of the electrochemical system, shape and size, and capacity of the vehicle battery. The electrochemical system refers to the operating principle of the vehicle battery. For example, according to the electrochemical system, the vehicle battery is classified into ternary lithium battery, lithium iron phosphate battery, etc.

[0144] The battery operation time length refers to the total operation time length of the vehicle battery.

[0145] Step S504: Determine the standard current curve according to the battery model and the battery operation time length.

[0146] The standard current curve refers to the current curve of the vehicle battery during normal charging under the premise of a specific battery model and a specific battery operation time length. The standard current curve is a preset standardized curve. The charging pile can retrieve the corresponding standard current curve from the database according to the battery model and the battery operation time length.

[0147] The skilled person can generate the standard current curve through repeated experiments.

[0148] Step S505: Calculate the similarity between the target current curve and the standard current curve.

[0149] Set a time detection point. In the target current curve and the standard current curve, the target current point and the standard current point are obtained according to the time detection point. The difference between the target current point and the standard current point is calculated to obtain the current difference. Repeat the above three steps to traverse all time points in the target current curve, and calculate the current difference to obtain a set of current differences. Calculate the mean of the set of current differences to obtain the similarity.

[0150] Step S506: Classify the sub-battery according to the similarity to obtain the normal sub-battery and the abnormal sub-battery.

[0151] 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 a preset similarity threshold, the sub-battery is classified as a normal sub-battery.

[0152] By using the above technical solution, the current change curve is analyzed in combination with the time dimension, and the similarity is compared with the standard curve corresponding to the battery type and the service life, thereby enhancing the recognition ability of the abnormal state in the dynamic charging process.

[0153] The embodiment of the application discloses a method for setting charging parameters of a newly added vehicle. Figure 6The method comprises:

[0154] Step S601: In the case of detecting that the charging vehicle is a new vehicle, an upper limit value of a charging parameter is obtained.

[0155] The upper limit value of the charging parameter comprises at least one of a charging voltage, a charging current and a charging power.

[0156] Optionally, after the charging pile obtains the battery running duration of the charging vehicle, if the battery running duration is less than a preset time threshold, the charging vehicle is a new vehicle.

[0157] The upper limit value of the charging parameter is a maximum bearing value of a vehicle battery of the charging vehicle. The upper limit value of the charging parameter can be a preset empirical value or obtained from the charging vehicle.

[0158] Step S602: A charging parameter change curve is set according to the upper limit value of the charging parameter, and the charging parameter change curve represents a change curve of the charging parameter with time.

[0159] Optionally, in a preset curve database, a charging parameter change curve corresponding to the upper limit value of the charging parameter is searched. The curve database is used to store a corresponding relationship between the upper limit value of the charging parameter and the charging parameter change curve. The data in the curve database can be obtained by repeated experiments of technicians.

[0160] Step S603: The vehicle battery is charged according to the charging parameter change curve, and a data index is updated in real time.

[0161] Illustratively, the vehicle is charged according to the charging parameter change curve, and the performance of the charging vehicle under the standardized charging parameter change curve can be obtained.

[0162] Step S604: A change rate of the data index is calculated.

[0163] Illustratively, a change value of the data index in a unit time is calculated to obtain the change rate in this step.

[0164] Step S605: In the case that a 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.

[0165] In other embodiments, if there is no target change rate greater than the preset change rate threshold, the charging of the vehicle battery according to the charging parameter change curve is continued.

[0166] In the case that the target change rate in the change rate is greater than the preset change rate threshold, it is indicated that the vehicle battery may be damaged when the vehicle battery is affected by the target charging parameter, and therefore the scene of the target charging parameter needs to be recorded for subsequent improvement.

[0167] By adopting the technical solution, the gradual charging parameter adjustment strategy is adopted for the new vehicle, the optimal charging parameter critical point is automatically captured through monitoring the data index change rate, and the rapid and safe adaptation of the vehicle without historical data is realized.

[0168] Embodiments of the present application disclose a second method for setting charging parameters of a new vehicle. Referring to Figure 6 The method comprises the following steps:

[0169] Step S701: obtaining historical charging records of the charging vehicle.

[0170] The historical charging records are provided by a charging pile system, which refers to a system formed by interconnecting a plurality of charging piles, and the charging piles can communicate with each other.

[0171] Step S702: according to the historical charging records, the historical charging mode of the charging vehicle is counted.

[0172] The historical charging mode includes at least one of the charging time period, the charging time length, the charging voltage, the charging current and the charging power of the charging vehicle.

[0173] Step S703: extracting the charging feature from the historical charging mode.

[0174] Optionally, a feature extraction film is called to extract the feature from the historical charging mode, and the charging feature is obtained. Further, the charging feature is represented in the form of a vector.

[0175] Step S704: updating the target charging parameter using the charging feature.

[0176] Illustratively, a parameter updating model is called to process the data of the target charging parameter and the charging feature, so that the target charging parameter is updated.

[0177] By adopting the technical solution, the real-time charging parameter is optimized by using the historical charging feature, the historical optimal strategy is migrated to the current charging scene through the feature matching mechanism, and the adaptation efficiency of the charging strategy is improved.

[0178] Based on the same inventive concept, embodiments of the present application provide a battery detection control system of a charging pile, comprising:

[0179] An acquisition module 801 is configured to acquire charging operations and data indexes.

[0180] A memory 802 is configured to store programs of the battery detection control method of the charging pile.

[0181] A processor 803 can load and execute the programs in the memory, and implement the battery detection control method of the charging pile.

[0182] By adopting the technical scheme, the battery data indexes in the charging process are acquired in real time, the battery state is dynamically judged, the charging is stopped immediately when the abnormality is detected, and the reminding message is generated and sent to the user terminal, so that the active protection of the charging safety is realized, and the risk of battery failure caused by continuous charging is significantly reduced.

[0183] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example for illustration, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0184] The embodiment of the present application provides a computer readable storage medium, which stores a computer program capable of being loaded by a processor and executing a battery detection control method of a charging pile.

[0185] The computer storage medium includes, for example, a U disk, a mobile hard disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0186] Based on the same inventive concept, the embodiment of the present application provides an intelligent terminal, which includes a memory and a processor, and the memory stores a computer program capable of being loaded by the processor and executing a battery detection control method of a charging pile.

[0187] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example for illustration, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0188] The above are preferred embodiments of the present application, and do not limit the protection scope of the present application, any feature disclosed in the specification (including the abstract and the drawings) can be replaced by other equivalent or similar features, unless specifically described. That is, each feature is only an example of a series of equivalent or similar features, unless specifically described.

Claims

1. A battery detection and control method for a charging pile, characterized in that, The method includes: In response to the detection of a charging operation by a charging vehicle, the vehicle battery of the charging vehicle is charged. Send a data transmission request to the charging vehicle; Receive data indicators returned by the charging vehicle; The battery status of the charging vehicle is obtained based on the data indicators; wherein, obtaining the battery status of the charging vehicle based on the data indicators includes: if the battery type in the data indicators is a battery pack, then obtaining the 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; calculating a first total number of normal sub-batteries and a second total number of abnormal sub-batteries; and generating the battery status based on the ratio of the second total number to the first total number. If the battery state is a preset state, then obtain the first value range of the sub-data indicators of the normal sub-battery and the second value range of the sub-data indicators of the abnormal sub-battery; divide the first value range into several first value intervals; divide the second value range into several second value intervals; group the normal sub-batteries according to the first value intervals to obtain normal sub-battery groups; set the charging parameters of the normal sub-battery groups according to the average of the first value intervals corresponding to the normal sub-battery groups; group the abnormal sub-batteries according to the second value intervals to obtain abnormal sub-battery groups; set the charging parameters of the abnormal sub-battery groups according to the average of the second value intervals corresponding to the abnormal sub-battery groups; continue to execute the step of charging the vehicle battery of the charging vehicle. If the battery status is not a preset status, then the charging process for the vehicle battery will be stopped, and a reminder message will be generated based on the battery status. The reminder message is sent to the user terminal corresponding to the charging vehicle.

2. The battery detection and control method for charging piles according to claim 1, characterized in that, The step of grouping the normal sub-cells according to the first value range to obtain normal sub-cell groups includes: Send a battery grouping request to the charging vehicle; Receive the actual grouping of sub-batteries returned by the charging vehicle; The normal sub-cells are temporarily grouped according to the first value range to obtain temporary sub-cell groups; The normal sub-cell grouping is obtained based on the actual sub-cell grouping and the temporary sub-cell grouping.

3. The battery detection and control method for charging piles according to claim 1, characterized in that, The step of classifying the sub-batteries according to the sub-data indicators to obtain normal sub-batteries and abnormal sub-batteries includes: If the data indicators include current values, obtain the current values ​​of each sub-cell and the timestamps corresponding to the current values; Generate a target current curve based on the current value and the timestamp; Obtain the battery model and battery runtime of the vehicle battery; Determine the standard current curve based on the battery model and the battery operating time; Calculate the similarity between the target current curve and the standard current curve; The sub-cells are classified according to the similarity to obtain the normal sub-cells and the abnormal sub-cells.

4. The battery detection and control method for charging piles according to claim 1, characterized in that, The method further includes: If the vehicle being charged is detected as a newly added vehicle, obtain the upper limit value of the charging parameters; A charging parameter variation curve is set according to the upper limit value of the charging parameter, and the charging parameter variation curve represents the change curve of the charging parameter over time. The vehicle battery is charged according to the charging parameter change curve, and the data indicators are updated in real time. Calculate the rate of change of the data indicators; If the target rate of change in the rate of change is greater than a preset rate of change threshold, the target charging parameter corresponding to the target rate of change is determined and recorded.

5. The battery detection and control method for charging piles according to claim 4, characterized in that, The method further includes: Obtain the historical charging records of the vehicle being charged; Based on the historical charging records, the historical charging methods of the charging vehicles are statistically analyzed. Extract charging features from the historical charging methods; The target charging parameters are updated using the charging characteristics.

6. A battery detection and control system for a charging pile, characterized in that, The system is used to execute the battery detection and control method for a charging pile as described in any one of claims 1 to 5, including: The acquisition module is used to acquire charging operations and data metrics. A memory for storing the program of the battery detection and control method of the charging pile; The processor and the program in the memory can be loaded and executed by the processor to implement the battery detection and control method of the charging pile.

7. A smart terminal, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer program is stored that can be loaded by a processor and executed as described in any one of claims 1 to 5.

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