Battery connector real-time current monitoring method and system

Abstract

The invention relates to the technical field of data processing, in particular to a battery connector real-time current monitoring method and system. The method comprises the steps of obtaining a current data sequence of a connector in a current time period, and determining a noise degree value of current data at a target moment in the current time period; determining a first subsequence and a second subsequence from the current data sequence, and determining a plurality of target current data points from the first subsequence, wherein the differences between the target current data points and corresponding positions in the second subsequence are maximum; according to the noise degree values of a plurality of target current data points, performing weighted summation on the distances between the target current data points and the corresponding data points in the second sub-sequence to obtain weighted distances so as to determine the fuzzy entropy of the current data sequence in the current time period, and when the difference between the fuzzy entropy of the current time period and the fuzzy entropy of the previous time period is greater than a preset threshold value, outputting prompt information. According to the technical scheme, the cost of monitoring the connector can be reduced.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a real-time current monitoring method and system for a battery connector. Background Art

[0002] A connector is an electronic component that acts as a bridge in a circuit. The connector can be used to connect a battery to an external device, allowing current to be transferred from one device to another; for example, the battery can supply power to a load connected to the connector, or a charging device can charge the battery through the connector.

[0003] Through the connector connected to the battery, the user can connect or disconnect the battery with the external device by, for example, inserting or unplugging the connector between the interface of the external device; in order to ensure that the connector is in a better working condition, the connector can be monitored.

[0004] In order to realize the monitoring of the connector, a Chinese patent application document with publication number CN117235653A provides a real-time monitoring method for power connector faults, including: real-time monitoring of the target power connector to obtain the target current signal, target voltage signal and target temperature data; performing visual distribution mapping to obtain the current time domain waveform diagram, the voltage signal difference diagram and the temperature distribution box plot; generating the current abnormal feature component, the voltage abnormal feature component and the temperature abnormal feature component; calculating the abnormal label weight through the extreme learning machine model to obtain the current abnormal label weight, the voltage abnormal label weight and the temperature abnormal label weight; performing weighted fusion to generate the target multi-dimensional fusion feature; inputting the target multi-dimensional fusion feature into the power connector fault analysis model to perform the power connector fault analysis and obtain the power connector fault analysis result.

[0005] When the related technology monitors the connector, there are many types of parameters that need to be monitored, which makes the monitoring cost of the connector high. Summary of the invention

[0006] In order to overcome the problem of high monitoring cost required for monitoring connectors in the related art, the present application provides a real-time current monitoring method and system for battery connectors.

[0007] According to a first aspect of an embodiment of the present application, a real-time current monitoring method for a battery connector is provided, comprising: when the connector is in a connected state with an external device, obtaining a current data sequence of the connector in a current time period, and determining a noise level value of the current data at a target moment in the current time period; the noise level value is used to characterize the probability that the current data belongs to noise; determining a first subsequence and a second subsequence from the current data sequence, and determining from the first subsequence a plurality of target current data points having the largest difference from corresponding positions in the second subsequence; performing weighted summation of distances between target current data points and corresponding data points in the second subsequence according to the noise level values ​​of the plurality of target current data points to obtain a weighted distance; determining a fuzzy entropy of the current data sequence in the current time period according to the weighted distances between different subsequences of the current data sequence, and outputting a prompt message when the difference in fuzzy entropy between the current time period and the previous time period is greater than a preset threshold.

[0008] In this way, the current data sequence of the connector in the current time period is obtained, and the noise level value of the current data at the target moment in the current time period is determined; from the first subsequence of the current data sequence, multiple target current data points with the largest differences from the corresponding positions in the second subsequence of the current data sequence are determined; according to the noise level values ​​of the multiple target current data points, the distances between the target current data points and the corresponding data points in the second subsequence are weighted and summed to obtain the weighted distance, so as to determine the fuzzy entropy of the current data sequence in the current time period, and when the difference in fuzzy entropy between adjacent time periods is greater than a preset threshold, a prompt message can be output, thereby realizing the monitoring of the connector.

[0009] Optionally, the noise level value of the current data is determined by: , where W is the noise level of the current data at the target time; T is the prominence level of the current data at the target time, which is used to characterize the difference between the target time and other times in the current data; exp is an exponential function with a natural constant as the base, It is the correlation value between the change of battery SOC per unit time and the current data at the target time.

[0010] In this way, since the current data not affected by noise changes more smoothly or continuously, and the current data of the connector is related to the change information of the battery SOC, the noise level value at the target moment can better characterize the probability that the current data is affected by noise at the target moment by considering the prominence value and correlation value at the target moment.

[0011] Optionally, the relevance value at the target time is determined by: ,in, is the correlation value between the change in the battery SOC per unit time and the current data at the target time, exp is an exponential function with a natural constant as the base, A is the current data at the target time, S is the change in the battery SOC per unit time at the target time, is the average value of the target ratio at different times. The target ratio is the ratio of the change in the battery SOC per unit time to the current data. Z is the difference between the number of extreme values ​​of the battery SOC change in different unit times and the number of extreme values ​​of the current data at different times. The default value is a positive number.

[0012] In this way, in the calculation formula of the correlation value at the target time, by comparing the number of extreme values ​​of the change in the battery SOC in different unit times and the number of extreme values ​​of the current data at different times, the correlation between the change rate of the battery SOC at the target time and the current data can be better reflected.

[0013] Optionally, the relevance value at the target time is determined by: ,in, is the correlation value between the change in the battery SOC per unit time and the current data at the target time, exp is an exponential function with a natural constant as the base, A is the current data at the target time, S is the change in the battery SOC per unit time at the target time, is the average value of the target ratio at different times. The target ratio is the ratio of the change in the battery's SOC per unit time to the current data. The default value is a positive number.

[0014] Optionally, the prominence value of the current data at the target time is determined by: , where T is the prominence value of the current data at the target time, norm is the normalization function, is the variance of the current data in the neighborhood time period of the target time, is the variance of the current data at other times except the target time in the neighborhood time period of the target time; D is the angle formed by the position point of the target time and the position points of the adjacent times on both sides in the plane rectangular coordinate system, and the angle takes the position point of the target time as the vertex.

[0015] In this way, by comparing the variance of the current data in the neighborhood time period of the target moment with the variance of the current data at other times except the target moment in the neighborhood time period of the target moment, the obtained prominence value can better characterize the prominence of the connector's current data at the target moment.

[0016] Optionally, according to the noise level values ​​of the plurality of target current data points, weighted summing the distances between the target current data points and the corresponding data points in the second subsequence to obtain the weighted distance includes: , R is the weighted distance, X is the number of target current data points in the first subsequence, is an exponential function with a natural constant as base, is the noise level value of the ath target current data point in the first subsequence, is the distance between the ath target current data point in the first subsequence and the corresponding data point in the second subsequence.

[0017] In this way, by performing an exponential operation on the noise level value and taking the inverse of the result of the exponential operation as the weight to perform weighted summation on different distances, the target current data point with a larger noise level has a smaller weight value when performing weighted summation, which can reduce the impact of possible noise in the current data on the comparison results between subsequences and obtain a more accurate weighted distance.

[0018] Optionally, the fuzzy entropy of the current data sequence for the current time period is determined based on the weighted distances between different subsequences of the current data sequence, including: determining the fuzzy membership of the subsequences of the current data sequence based on the weighted distances between different subsequences, and determining the fuzzy entropy of the current data sequence for the current time period based on the fuzzy memberships of multiple sequences of the current data sequence.

[0019] According to a second aspect of an embodiment of the present application, a battery connector real-time current monitoring system is provided, comprising: a processor and a memory, the memory storing computer program instructions, and the computer program instructions, when executed by the processor, implement the steps of the battery connector real-time current monitoring method provided in the first aspect of the present application.

[0020] The technical solution provided by the embodiments of the present application may include the following beneficial effects: obtaining a current data sequence of a connector in a current time period, and determining a noise level value of the current data at a target moment in the current time period; determining, from a first subsequence of the current data sequence, a plurality of target current data points having the largest differences from corresponding positions in a second subsequence of the current data sequence; performing a weighted summation of distances between target current data points and corresponding data points in the second subsequence according to the noise level values ​​of the plurality of target current data points to obtain a weighted distance, so as to determine the fuzzy entropy of the current data sequence in the current time period, and being able to output a prompt message when the difference in fuzzy entropy between adjacent time periods is greater than a preset threshold, thereby realizing monitoring of the connector.

[0021] Furthermore, when there are abnormal changes in the current of the connector, the temperature value of the connector will usually also undergo corresponding abnormal changes. Therefore, the current change when the connector is connected to an external device can better reflect the working state of the connector. Therefore, monitoring the connector through the current data sequence can reduce the dependence on the acquisition of temperature values ​​while achieving accurate monitoring of the connector, thereby reducing the cost of monitoring the working state of the connector.

[0022] Furthermore, based on the noise level values ​​of multiple target current data points, the distances between the target current data points and the corresponding data points in the second subsequence are weighted and summed to obtain the weighted distance. The weighted distance can take into account the impact of possible noise in the current data sequence on the distance. Based on the weighted distances between different subsequences of the current data sequence, a more accurate fuzzy entropy of the current data sequence in the current time period can be determined, thereby more accurately reflecting the abnormalities in the current of the connector.

[0023] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0025] Figure 1 is a flow chart of a method for real-time current monitoring of a battery connector according to an exemplary embodiment; Figure 2 It is a structural schematic diagram of a battery connector real-time current monitoring system according to an exemplary embodiment. DETAILED DESCRIPTION

[0026] Here, exemplary embodiments will be described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application.

[0027] First, the application scenario of the embodiment of the present application is briefly introduced. In the application scenario of the present application, the working status of the connector is mainly monitored through the temperature value of the connector. For example, by setting a temperature sensor on the connector, the cost or difficulty of monitoring the working status of the connector is high.

[0028] In view of the above technical problems, the present application provides a method and system for real-time current monitoring of a battery connector. Figure 1is a flow chart of a method for real-time current monitoring of a battery connector according to an exemplary embodiment. Figure 1 As shown, the method includes the following steps.

[0029] In step S101 , when the connector is connected to an external device, a current data sequence of the connector in a current time period is acquired, and a noise level value of the current data at a target moment in the current time period is determined.

[0030] When the connector is connected to an external device, the battery can exchange current with the external device via the connector. The external device can be a charging device or a load. The battery can supply power to the load through the connector, or the charging device can charge the battery through the connector to ensure that the battery has sufficient power.

[0031] Whether the connector and the external device are in a connected state can be determined by the current size at the connector or the pressure between the connector and the interface. The embodiment of the present application does not limit the method for determining the connection state of the connector and the external device.

[0032] The battery management system of the battery can obtain various data of the battery during the charging and discharging process; for example, the battery management system can obtain the current data of the connector and the current data of different battery cells in the battery, and can also obtain the SOC (State of Charge) of the battery at different times. The current data can be, for example, the current value.

[0033] By obtaining the current data sequence of the connector in the current time period from the battery management system, the change of the current of the connector in the current time period can be analyzed. The length of the current time period can be set according to actual needs. For example, the length of the current time period can be between 20 seconds and 25 seconds.

[0034] In the current data sequence of the connector, there may be some noise data that is somewhat different from the actual current, so when the current data is directly used to analyze the current situation of the connector, the analysis results may be affected by these noise data. The noise data is sporadic and isolated. The noise level value of the current data at the target moment in the current time period can be determined. The noise level value is used to characterize the probability that the current data is noise, so as to avoid the influence of the noise data that may exist in the current data sequence on the monitoring results.

[0035] In one embodiment, the noise level value of the current data is determined by: , where W is the noise level of the current data at the target time; T is the prominence level of the current data at the target time, which is used to characterize the difference between the target time and other times in the current data; exp is an exponential function with a natural constant as the base, It is the correlation value between the change of battery SOC per unit time and the current data at the target time.

[0036] When the battery is powering an external device, the change in the battery's SOC per unit time can reflect the actual discharge rate of the battery; when the external device is charging the battery, the change in the battery's SOC per unit time can reflect the actual charging rate of the battery.

[0037] Since the battery exchanges current with external devices through a connector, the actual discharge speed or actual charging speed of the battery is related to the current of the battery connector; the greater the current of the battery connector, the greater the actual discharge speed or actual charging speed of the battery; conversely, the smaller the current of the battery connector, the smaller the actual discharge speed or actual charging speed of the battery.

[0038] When there is noise data in the current data sequence, due to the sporadic and isolated nature of the noise data, the existence of the noise data point causes the correlation between the current of the battery connector at the moment the noise data point is located and the actual discharge speed or charging speed of the battery to decrease. Therefore, the correlation value between the change in the battery SOC per unit time and the current data at the target moment can better reflect the probability that the current data at the target moment in the current data sequence is noise data; the target moment can be any one of the multiple moments in the current time period.

[0039] In an embodiment of the present application, in order to avoid the influence of voltage changes on the monitoring process, the battery can be controlled to supply power to the external device through a fixed voltage. For example, the current data sequence of the connector in the current time period can be obtained when the battery exchanges current with the external device at a fixed voltage.

[0040] The correlation value between the change in the battery SOC per unit time and the current data at the target time can characterize the degree of correlation between the change in the battery SOC and the current data; the greater the correlation value between the change in the battery SOC per unit time and the current data at the target time, the lower the probability or degree of the current data being affected by noise at the target time; conversely, the smaller the correlation value between the change in the battery SOC per unit time and the current data at the target time, the higher the probability or degree of the current data being affected by noise at the target time.

[0041] In the battery management system of the battery, the SOC of the battery can represent the remaining power ratio of the battery in the form of a percentage, for example, the SOC of the battery can be 80%; the SOC of the battery can be determined by the voltage and resistance across the electrodes of the battery or the current flowing through the battery cells of the battery, so that the SOC of the battery is usually not easily affected by noise.

[0042] If the battery SOC changes from 80% to 81% per unit time, it means that the battery has replenished 1% of its power per unit time; if the battery SOC changes from 80% to 81% per unit time, the battery SOC maintains 81% of its power per unit time.

[0043] The current of the battery connector in the second unit time is lower than the current of the battery connector in the first unit time, which means that the current at the battery connector has increased, while the battery charging speed has decreased. The current of the connector is more likely to be affected by noise data.

[0044] In order to ensure the stability of current exchange between the battery and external devices and to ensure the safety of electronic components of the battery or external devices, the battery management system of the battery will use a relatively stable current to exchange current with external devices, or, usually, a more continuous current change to exchange current with external devices.

[0045] The prominence value of the current data at the target moment is used to characterize the degree of difference in the current data between the target moment and other moments. Compared with the current data at the moment not affected by noise, the difference between the current data at the moment affected by noise and other moments is greater, so that the larger the prominence value of the target moment, the greater the probability that the current data at the target moment is affected by noise.

[0046] In the calculation formula for the noise level value of the current data at the target time, the prominence level value of the current data at the target time and the correlation value between the change in the battery's SOC per unit time and the current data at the target time can be considered, thereby achieving a more comprehensive evaluation of the current situation at the target time.

[0047] In this way, since the current data not affected by noise changes more smoothly or continuously, and the current data of the connector is related to the change information of the battery SOC, the noise level value at the target moment can better characterize the probability that the current data is affected by noise at the target moment by considering the prominence value and correlation value at the target moment.

[0048] In one embodiment, the relevance value at the target time is determined in the following manner: ,in, is the correlation value between the change in the battery SOC per unit time and the current data at the target time, exp is an exponential function with a natural constant as the base, A is the current data at the target time, S is the change in the battery SOC per unit time at the target time, is the average value of the target ratio at different times. The target ratio is the ratio of the change in the battery's SOC per unit time to the current data. The default value is a positive number.

[0049] The ratio of the change in the battery's SOC per unit time to the battery data can reflect the state of the battery exchanging current with an external device through a connector, or can reflect the charge and discharge state of the battery. When the battery exchanges current with an external device through a connector, a more stable or more continuously changing current is usually used for current exchange, so that the charge and discharge state of the battery will be maintained within a certain range.

[0050] The smaller the difference between the target ratio corresponding to the target moment and the average value of the target ratios at different moments, the greater the correlation between the current data of the connector and the change in SOC per unit time at the target moment; the presence of a preset positive number in the calculation formula of the correlation value can ensure that the base of the exponential function is greater than 0. The preset positive number can be, for example, 0.001 or 0.002, which is equivalent to a positive number smaller than the target ratio.

[0051] In this way, the target ratio corresponding to the target moment is compared with the average value of the target ratios at different moments, and the obtained correlation value can reflect the correlation degree between the current data of the connector and the change in the SOC of the battery per unit time at the target moment.

[0052] In one embodiment, the relevance value at the target time is determined in the following manner: ,in, is the correlation value between the change in the battery SOC per unit time and the current data at the target time, exp is an exponential function with a natural constant as the base, A is the current data at the target time, S is the change in the battery SOC per unit time at the target time, is the average value of the target ratio at different times. The target ratio is the ratio of the change in the battery SOC per unit time to the current data. Z is the difference between the number of extreme values ​​of the battery SOC change in different unit times and the number of extreme values ​​of the current data at different times. The default value is a positive number.

[0053] The change in the battery SOC in different unit times may refer to the change in the battery SOC over the past period of time; the change in the battery SOC in different unit times corresponding to the target moment may refer to the change in the battery SOC within 5 seconds before the target moment, or may be the change in the battery SOC within 10 seconds before the target moment. The time length selected for the change in the battery SOC can be set according to actual needs.

[0054] The number of extreme values ​​of the change in the battery's SOC within a unit time may be the maximum or minimum value of the change in the SOC within a unit time at different moments. The number of extreme values ​​of the change in the battery's SOC within a unit time can reflect the stability of the battery's charging speed or discharging speed.

[0055] The extreme values ​​of the current data at different moments may be the maximum values ​​or minimum values ​​in the current data at different moments. The number of the extreme values ​​of the current data at different moments may reflect the change of the current data of the connector.

[0056] It is the difference between the number of extreme values ​​of the battery SOC change in different unit time and the number of extreme values ​​of the current data at different moments. It may refer to the absolute value of the difference between the number of extreme values ​​of the battery SOC change in different unit time and the number of extreme values ​​of the current data at different moments.

[0057] There is a certain correlation between the change in the battery SOC per unit time and the current data of the connector, so that when the change in the battery SOC per unit time changes, the current data of the connector will also change accordingly, making the number of extreme values ​​of the battery SOC change in different unit times more consistent with the number of extreme values ​​of the current data at different times.

[0058] The change in the battery SOC per unit time can reflect the rate of change of the battery SOC. When the current data is affected by noise data, the original correlation between the current data and the rate of change of the battery SOC is reduced, making the number of extreme values ​​of the battery SOC change in different unit times inconsistent with the number of extreme values ​​of the current data at different times.

[0059] The current data at different times may refer to the current data in the time period adjacent to the target time; the change in the battery SOC in different unit times may refer to the change rate of the battery SOC at different times in the time period adjacent to the target time. The length of the adjacent time period can be selected according to actual needs, for example, between 10 seconds and 20 seconds.

[0060] In this way, in the calculation formula of the correlation value at the target time, by comparing the number of extreme values ​​of the change in the battery SOC in different unit times and the number of extreme values ​​of the current data at different times, the correlation between the change rate of the battery SOC at the target time and the current data can be better reflected.

[0061] In one embodiment, the prominence value of the current data at the target time is determined by: , where T is the prominence value of the current data at the target time, norm is the normalization function, is the variance of the current data in the neighborhood time period of the target time, is the variance of the current data at other times except the target time in the neighborhood time period of the target time; D is the angle formed by the position point of the target time and the position points of the adjacent times on both sides in the plane rectangular coordinate system, and the angle takes the position point of the target time as the vertex.

[0062] The prominence value of the current data at the target time is used to characterize the prominence of the current data of the connector at the target time; the time can be used as the horizontal axis of the plane rectangular coordinate system, and the current data can be used as the vertical axis of the plane rectangular coordinate system. The position point of the target time in the plane rectangular coordinate system can be determined based on the current data at the target time; the current data of the connector at the adjacent time of the target time can provide a reference for the current data of the connector at the target time.

[0063] The angle formed by the position point at the target moment and the position points on both sides of the position point takes the position point at the target moment as the vertex. The smaller the angle, the greater the difference between the current data at the target moment and the current data at adjacent moments on both sides, and the more prominent the current data at the target moment.

[0064] The variance of the current data in the neighborhood time period of the target moment can reflect the degree of fluctuation of the current data of the connector in the neighborhood time period of the target moment; the variance of the current data at other times in the neighborhood time period of the target moment except the target moment can reflect the degree of fluctuation of the current data of the connector at other times in the neighborhood time period of the target moment except the target moment.

[0065] In the neighborhood time period of the target moment, if the current data of the connector at the target moment is excluded, the obtained variance is smaller than the variance when the current data of the connector at the target moment is considered, indicating that the current data of the connector at the target moment is more different from the current data at other moments in the neighborhood time period except the target moment, and the current data of the connector at the target moment is more prominent.

[0066] In this way, by comparing the variance of the current data in the neighborhood time period of the target moment with the variance of the current data at other times except the target moment in the neighborhood time period of the target moment, the obtained prominence value can better characterize the prominence of the connector's current data at the target moment.

[0067] In step S102 , a first subsequence and a second subsequence are determined from the current data sequence, and a plurality of target current data points having the largest differences from corresponding positions in the second subsequence are determined from the first subsequence.

[0068] In order to further analyze the characteristics of the current data sequence, a preset time window can be used to extract the first subsequence and the second subsequence from the current data sequence. The preset time window can be set according to actual needs. The first subsequence and the second subsequence can be two sub-time periods with partial overlap, or the first subsequence and the second subsequence can be two sub-time periods with no overlap.

[0069] By determining multiple target current data points in the first subsequence that have the largest differences from corresponding positions in the second subsequence, it is possible to easily compare the differences between the two subsequences; the number of selected target current data points can be equal to a preset number, and the preset number can be set according to actual needs.

[0070] In step S103, according to the noise level values ​​of the plurality of target current data points, a weighted sum is performed on the distances between the target current data points and the corresponding data points in the second subsequence to obtain a weighted distance.

[0071] The distance between the target current data point and the corresponding data point in the second subsequence may refer to the absolute value of the difference between the value of the target current data point and the value of the current data point at the corresponding position in the second subsequence.

[0072] In an embodiment of the present application, the greater the noise level value of the target current data point, the smaller the weight value of the target current data point when weighted summing the distance between the target current data point and the corresponding data point in the second subsequence is performed, so as to reduce the contribution of the data point with a larger noise level value to the weighted summation process, thereby eliminating the influence of possible noise after the weighted summation, and better reflecting the difference between the two sub-data through the weighted distance after the weighted summation.

[0073] In one embodiment, according to the noise level values ​​of the plurality of target current data points, weighted summing the distances between the target current data points and the corresponding data points in the second subsequence to obtain the weighted distance includes: , R is the weighted distance, X is the number of target current data points in the first subsequence, is an exponential function with a natural constant as base, is the noise level value of the ath target current data point in the first subsequence, is the distance between the ath target current data point in the first subsequence and the corresponding data point in the second subsequence.

[0074] In this way, by performing an exponential operation on the noise level value and taking the inverse of the result of the exponential operation as the weight to perform weighted summation on different distances, the target current data point with a larger noise level has a smaller weight value when performing weighted summation, which can reduce the impact of possible noise in the current data on the comparison results between subsequences and obtain a more accurate weighted distance.

[0075] In step S104, the fuzzy entropy of the current data sequence in the current time period is determined according to the weighted distances between different subsequences of the current data sequence, and a prompt message is output when the difference in fuzzy entropy between the current time period and the previous time period is greater than a preset threshold.

[0076] In the embodiment of the present application, the fuzzy entropy of the current data sequence is used to characterize the degree of difference between the fuzzy memberships of multiple sequences of the current data sequence. The larger the fuzzy entropy of the current data sequence, the greater the degree of difference between the fuzzy memberships of multiple sequences of the current data sequence.

[0077] Since the weighted distance obtained by weighted averaging has avoided the influence of noise, the fuzzy entropy obtained based on the weighted distance can better reflect the change of the connector current in the adjacent time periods of the target moment. If the difference in fuzzy entropy between the current time period and the previous time period is greater than the preset threshold, it means that the current of the connector has changed significantly in the two adjacent time periods, and the current of the connector is abnormal. The user can be prompted to handle the abnormal connector by outputting a prompt message.

[0078] The prompting method of the outputted prompting information may be at least one of a plurality of prompting methods such as vibration, sound and light.

[0079] In one embodiment, the fuzzy entropy of the current data sequence of the current time period is determined according to the weighted distances between different subsequences of the current data sequence, including: determining the fuzzy membership of the subsequences of the current data sequence according to the weighted distances between the different subsequences, and determining the fuzzy entropy of the current data sequence of the current time period according to the fuzzy memberships of multiple sequences of the current data sequence.

[0080] According to the fuzzy membership function and the weighted distance between different subsequences, the fuzzy membership of the subsequence of the current data sequence can be determined; according to the distance between the subsequences of the time series and the fuzzy membership function, the fuzzy membership of the subsequence is determined, and thus the fuzzy entropy of the time series is determined according to the fuzzy membership of the subsequence. This is common knowledge among those skilled in the art and will not be described in detail in the embodiments of the present application.

[0081] Through the real-time current monitoring method for battery connectors provided in an embodiment of the present application, a current data sequence of the connector in the current time period is obtained, and a noise level value of the current data at a target moment in the current time period is determined; from a first subsequence of the current data sequence, multiple target current data points with the largest differences from corresponding positions in a second subsequence of the current data sequence are determined; based on the noise level values ​​of the multiple target current data points, a weighted sum is performed on the distances between the target current data points and the corresponding data points in the second subsequence to obtain a weighted distance, so as to determine the fuzzy entropy of the current data sequence in the current time period, and a prompt message can be output when the difference in fuzzy entropy between adjacent time periods is greater than a preset threshold, thereby realizing monitoring of the connector.

[0082] Furthermore, when there are abnormal changes in the current of the connector, the temperature value of the connector will usually also undergo corresponding abnormal changes. Therefore, the current change when the connector is connected to an external device can better reflect the working state of the connector. Therefore, monitoring the connector through the current data sequence can reduce the dependence on the acquisition of temperature values ​​while achieving accurate monitoring of the connector, thereby reducing the cost of monitoring the working state of the connector.

[0083] Furthermore, based on the noise level values ​​of multiple target current data points, the distances between the target current data points and the corresponding data points in the second subsequence are weighted and summed to obtain the weighted distance. The weighted distance can take into account the impact of possible noise in the current data sequence on the distance. Based on the weighted distances between different subsequences of the current data sequence, a more accurate fuzzy entropy of the current data sequence in the current time period can be determined, thereby more accurately reflecting the abnormalities in the current of the connector.

[0084] Figure 2 FIG. 1 is a schematic diagram of a battery connector real-time current monitoring system 1000 according to an exemplary embodiment. Figure 2 The battery connector real-time current monitoring system 1000 includes: a processor 1100 and a memory 1200, wherein the memory 1200 stores computer program instructions, and when the computer program instructions are executed by the processor 1100, all or part of the steps of the battery connector real-time current monitoring method in the present application are implemented.

[0085] It should be understood that the features of some embodiments of the various applications described herein may be combined with each other, unless specifically stated otherwise.

[0086] Although terms such as "first", "second", and "third" may be used herein to describe various components, parts, regions, layers, or sections, these components, parts, regions, layers, or sections are not limited to these terms. Instead, these terms are only used to distinguish one component, part, region, layer, or section from another component, part, region, layer, or section. Therefore, without departing from the teachings of the examples described herein, the first component, part, region, layer, or section mentioned in the examples may also be referred to as the second component, part, region, layer, or section.

[0087] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description herein, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0088] In addition, the word "exemplary" is used herein to mean serving as an example, instance, or diagram. Any aspect or design described herein as "exemplary" is not necessarily to be understood as being advantageous over other aspects or designs. Instead, the use of the word exemplary is intended to present concepts in a concrete manner. As used herein, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or".

[0089] Likewise, although the present application has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding this specification and the accompanying drawings. With particular regard to the various functions performed by the components (e.g., elements, resources, etc.) described above, unless otherwise noted, the terms used to describe such components are intended to correspond to any component (functionally equivalent) that performs the specific functions of the described components, even if not structurally equivalent to the disclosed structures.

[0090] Additionally, while particular features of the present application may have been disclosed with respect to only one of several implementations, such features may be combined with one or more other features of other implementations as may be desired and advantageous for any given or particular application.

[0091] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary technical means in the art that are not disclosed in the present application, and the specification and embodiments are only considered as exemplary.

[0092] It should be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. A real-time current monitoring method for a battery connector, wherein the connector is used to connect a battery to an external device, characterized in that: The method comprises: When the connector is connected to the external device, a current data sequence of the connector in the current time period is obtained, and a noise level value of the current data at a target time in the current time period is determined; the noise level value is used to characterize the probability that the current data is noise; Determine a first subsequence and a second subsequence from the current data sequence, and determine a plurality of target current data points having the largest differences from corresponding positions in the first subsequence; According to the noise degree values ​​of the plurality of target current data points, weighted summing the distances between the target current data points and the corresponding data points in the second subsequence is performed to obtain a weighted distance; The fuzzy entropy of the current data sequence in the current time period is determined according to the weighted distances between different subsequences of the current data sequence, and a prompt message is output when the difference in fuzzy entropy between the current time period and the previous time period is greater than a preset threshold.

2. The real-time current monitoring method for a battery connector according to claim 1, characterized in that: The noise level of the current data is determined as follows: , where W is the noise level of the current data at the target time; T is the prominence level of the current data at the target time, which is used to characterize the difference between the target time and other times in the current data; exp is an exponential function with a natural constant as the base, It is the correlation value between the change of battery SOC per unit time and the current data at the target time.

3. The real-time current monitoring method for battery connector according to claim 2, characterized in that: The relevance value at the target time is determined as follows: ,in, is the correlation value between the change in the battery SOC per unit time and the current data at the target time, exp is an exponential function with a natural constant as the base, A is the current data at the target time, S is the change in the battery SOC per unit time at the target time, is the average value of the target ratio at different times. The target ratio is the ratio of the change in the battery SOC per unit time to the current data. Z is the difference between the number of extreme values ​​of the battery SOC change in different unit times and the number of extreme values ​​of the current data at different times. The default value is a positive number.

4. The real-time current monitoring method for a battery connector according to claim 2, characterized in that: The relevance value at the target time is determined as follows: ,in, is the correlation value between the change in the battery SOC per unit time and the current data at the target time, exp is an exponential function with a natural constant as the base, A is the current data at the target time, S is the change in the battery SOC per unit time at the target time, is the average value of the target ratio at different times. The target ratio is the ratio of the change in the battery's SOC per unit time to the current data. The default value is a positive number.

5. The real-time current monitoring method for battery connector according to claim 2, characterized in that: The prominence value of the current data at the target time is determined in the following way: , where T is the prominence value of the current data at the target time, norm is the normalization function, is the variance of the current data in the neighborhood time period of the target time, is the variance of the current data at other times except the target time in the neighborhood time period of the target time; D is the angle formed by the position point of the target time in the plane rectangular coordinate system and the position points of the adjacent times on both sides, and the angle takes the position point of the target time as the vertex.

6. The real-time current monitoring method for a battery connector according to claim 1, characterized in that: According to the noise level values ​​of the plurality of target current data points, weighted summing of the distances between the target current data points and the corresponding data points in the second subsequence is performed to obtain a weighted distance, including: , R is the weighted distance, X is the number of target current data points in the first subsequence, is an exponential function with a natural constant as base, is the noise level value of the ath target current data point in the first subsequence, is the distance between the ath target current data point in the first subsequence and the corresponding data point in the second subsequence.

7. The real-time current monitoring method for a battery connector according to claim 1, characterized in that: According to the weighted distances between different subsequences of the current data sequence, the fuzzy entropy of the current data sequence in the current time period is determined, including: The fuzzy membership of the subsequences of the current data sequence is determined according to the weighted distances between different subsequences, so as to determine the fuzzy entropy of the current data sequence in the current time period according to the fuzzy membership of multiple sequences of the current data sequence.

8. A real-time current monitoring system for a battery connector, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the real-time current monitoring method for a battery connector according to any one of claims 1 to 7 is implemented.

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