A charging abnormality diagnosis method and system based on wireless charging data analysis

Abstract

The present invention discloses a charging abnormality diagnosis method and system based on wireless charging data analysis, which relates to the field of charging technology, including: obtaining the standard charging speed of the wireless charging device; calculating the real-time charging speed of the object to be charged, and judging whether the real-time charging speed is equal to the standard charging speed; diagnosing the abnormal cause when the charging state is abnormal; obtaining the display reading of the charging and discharging standard model; and diagnosing the cause of the fault when the wireless charging device fails. By setting a data calculation module, a model building module and an abnormality judgment module, the abnormal cause of wireless charging is distinguished and processed, and it can be judged whether the abnormal cause comes from the wireless charging itself or from the object to be charged. When the abnormal cause comes from the wireless charging itself, the specific cause of the abnormality can be determined according to the step-by-step detection method, and then the wireless charging device can be adjusted in a targeted manner according to the specific cause.

Description

Technical Field

[0001] The present invention relates to the field of charging technology, and in particular to a charging abnormality diagnosis method and system based on wireless charging data analysis. Background Art

[0002] In the prior art, the general approach for detecting abnormal charging of wireless charging is to detect the voltage and current, or to detect the temperature inside the wireless charging, or to analyze the waveform of the voltage output or current output of the wireless charging to obtain the corresponding abnormal charging information. Although the above detection methods can determine that there is an abnormality in charging, it is impossible to determine whether the cause of the abnormality comes from the wireless charging itself or the object to be charged. At the same time, it is also impossible to determine whether the cause of the abnormality in the wireless charging itself comes from the power transmission coil or the input current. Summary of the invention

[0003] In order to solve the above technical problems, a charging abnormality diagnosis method and system based on wireless charging data analysis are provided. This technical solution solves the problem that although the above detection method proposed in the above background technology can determine that there is an abnormality in charging, it cannot determine whether the cause of the abnormality comes from the wireless charging itself or the object to be charged. At the same time, it is also impossible to determine whether the cause of the abnormality in wireless charging itself comes from the power transmission coil or the input current.

[0004] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0005] A charging abnormality diagnosis method based on wireless charging data analysis, comprising:

[0006] Get the standard charging speed of wireless charging devices;

[0007] Obtaining the initial power of the object to be charged, obtaining the real-time power of the object to be charged, obtaining the real-time accumulated charging time of the object to be charged, calculating the real-time charging speed of the object to be charged, and determining whether the real-time charging speed is equal to the standard charging speed. If so, determining that the charging state is normal; if not, determining that the charging state is abnormal;

[0008] When the charging status is normal, no processing is performed;

[0009] When the charging status is abnormal, diagnose the cause of the abnormality;

[0010] A charging and discharging standard model is arranged at a preset distance from the power transmission coil in the wireless charging device, the charging and discharging standard model receives the magnetic flux lines of the power transmission coil, and obtains the display reading of the charging and discharging standard model;

[0011] If the displayed value is the preset value, it is determined that the abnormal cause is a fault of the object to be charged; if not, it is determined that the abnormal cause is a fault of the wireless charging device;

[0012] When the object to be charged fails, the object to be charged is removed and charging is stopped;

[0013] When the wireless charging device fails, diagnose the cause of the failure;

[0014] Obtain the input current entering the power transmission coil and determine whether the input current is equal to the preset current. If not, the fault cause is the intensity of the input current;

[0015] If yes, then detect the frequency of the input current to determine whether the frequency of the input current is equal to the preset frequency. If not, the cause of the fault is the frequency of the input current;

[0016] If yes, then the average temperature of the wireless charging device during charging is obtained to determine whether the average temperature is equal to the preset temperature. If not, the cause of the fault is the resistance change of the power transmission coil of the wireless charging device due to aging;

[0017] If yes, then obtain the magnetic induction intensity of the wireless charging device when charging, and determine whether the magnetic induction intensity is equal to the preset intensity. If yes, the cause of the fault is the overall performance degradation of the wireless charging device;

[0018] If not, the cause of the fault is that the power transmission coil of the wireless charging device is deformed due to heat.

[0019] Preferably, the calculating and obtaining the real-time charging speed of the object to be charged comprises the following steps:

[0020] The real-time charge of the object to be charged is subtracted from the initial charge of the object to be charged to obtain the real-time charge;

[0021] The real-time charging capacity is divided by the real-time accumulated charging time to obtain the real-time charging speed.

[0022] Preferably, the charge and discharge standard model is as follows:

[0023] The standard charging and discharging model has a built-in micro-receiving coil;

[0024] The micro power receiving coil receives the magnetic flux lines generated by the power transmitting coil, and an induced current is generated in the micro power receiving coil;

[0025] A miniature power receiving coil is connected in series with an ammeter, and a miniature power receiving coil is connected in series with a discharge device;

[0026] The discharge device discharges at a preset speed;

[0027] The ammeter displays the current in the micro-receiving coil as a display indication of the standard model of charge and discharge.

[0028] Preferably, obtaining the average temperature of the wireless charging device during charging comprises the following steps:

[0029] Establish a temperature decay model with respect to distance;

[0030] A positioning circle is set at the center of the power transmission coil of the wireless charging device, the radius of the positioning circle is a preset radius, and the center of the positioning circle coincides with the center of the power transmission coil;

[0031] The positioning circle is divided into equal intervals to obtain a preset number of identification points;

[0032] A temperature monitoring device is provided at each identification point, and the temperature monitoring device obtains the real-time temperature at the identification point;

[0033] According to the temperature decay model with respect to distance, the predicted temperature of each point within the coverage range of the power transmission coil of the wireless charging device is calculated;

[0034] Integrate the predicted temperature within the coverage area of ​​the power transmission coil to obtain a temperature integral value;

[0035] Divide the temperature integral value by the area covered by the power transmission coil to obtain the average temperature of the wireless charging device during charging.

[0036] Preferably, the step of establishing a temperature decay model with respect to distance comprises the following steps:

[0037] Evenly divide the coverage area of ​​the power transmission coil into at least one positioning block, and select a positioning point at the center of the positioning block;

[0038] Measuring the temperature at the positioning point to obtain at least one positioning temperature;

[0039] The distance from the positioning point to the center of the power transmission coil is taken as the positioning distance, and the positioning temperature is corresponded to the positioning distance;

[0040] In the coordinate system, make an image with the positioning distance as the horizontal coordinate and the positioning temperature as the vertical coordinate;

[0041] A matching function model is selected according to the image as the temperature fitting model, and the temperature fitting model contains unknown coefficients.

[0042] Preferably, the step of calculating the predicted temperature of each point within the coverage area of ​​the power transmission coil of the wireless charging device comprises the following steps:

[0043] Determine whether the temperature fitting model is a linear function;

[0044] If yes, then substitute the real-time temperature of the identified point and the distance to the center of the power transmission coil into the temperature fitting model, use Cramer’s rule to find the unknown coefficients, and obtain the temperature fitting function;

[0045] If not, the real-time temperature of the identification point and the distance to the center of the power transmission coil are substituted into the temperature fitting model, and the approximate value of the unknown coefficient is obtained by numerical method to obtain the temperature fitting function;

[0046] The temperature fitting function is used to obtain the predicted temperature of each point within the coverage area of ​​the power transmission coil according to the distance from each point within the coverage area of ​​the power transmission coil to the center of the power transmission coil.

[0047] Preferably, obtaining the magnetic induction intensity of the wireless charging device during charging comprises the following steps:

[0048] Establish a model for the decay of magnetic field with respect to distance;

[0049] A targeting circle is set at the center of the power transmission coil of the wireless charging device, the radius of the targeting circle is a preset radius, and the center of the targeting circle coincides with the center of the power transmission coil;

[0050] The target circle is divided into equal intervals to obtain a preset number of sampling points;

[0051] A magnetic field monitoring device is set at each sampling point, and the magnetic field monitoring device obtains the real-time magnetic field at the sampling point;

[0052] Based on the decay model of magnetic field with respect to distance, the predicted magnetic field of each point within the coverage range of the transmission coil of the wireless charging device is calculated;

[0053] Integrate the predicted magnetic field within the coverage of the power transmission coil to obtain the magnetic field integral value;

[0054] The magnetic field integral value is divided by the area covered by the power transmission coil to obtain the magnetic induction intensity of the wireless charging device during charging.

[0055] Preferably, the step of establishing a magnetic field decay model with respect to distance comprises the following steps:

[0056] Evenly divide the coverage area of ​​the power transmission coil into at least one positioning block, and select a positioning point at the center of the positioning block;

[0057] Measuring the magnetic field at the positioning point to obtain at least one positioning magnetic field;

[0058] The distance from the positioning point to the center of the power transmission coil is taken as the positioning distance, and the positioning magnetic field is made to correspond to the positioning distance;

[0059] In the coordinate system, an image is made with the positioning distance as the horizontal coordinate and the positioning magnetic field as the vertical coordinate;

[0060] A matching function model is selected according to the image as the magnetic field fitting model, and the magnetic field fitting model contains coefficient unknowns.

[0061] Preferably, the step of calculating the predicted magnetic field of each point within the coverage range of the power transmission coil of the wireless charging device comprises the following steps:

[0062] Determine whether the magnetic field fitting model is a linear function;

[0063] If yes, substitute the real-time magnetic field of the sampling point and the distance to the center of the power transmission coil into the magnetic field fitting model, use Cramer's rule to obtain the coefficient unknowns, and obtain the magnetic field fitting function;

[0064] If not, the real-time magnetic field of the sampling point and the distance to the center of the power transmission coil are substituted into the magnetic field fitting model, and the approximate value of the unknown coefficient is obtained by numerical method to obtain the magnetic field fitting function;

[0065] The magnetic field fitting function is used to obtain the predicted magnetic field of each point within the coverage of the power transmission coil according to the distance from each point within the coverage of the power transmission coil to the center of the power transmission coil.

[0066] A charging abnormality diagnosis system based on wireless charging data analysis, used to implement the above-mentioned charging abnormality diagnosis method based on wireless charging data analysis, comprising:

[0067] A data acquisition module, wherein the data acquisition module acquires the standard charging speed of the wireless charging device, the initial power of the object to be charged, the real-time power of the object to be charged, the real-time cumulative charging time of the object to be charged, the display reading of the charging and discharging standard model, and the input current entering the power transmission coil;

[0068] A data calculation module, wherein the data calculation module calculates the real-time charging speed of the object to be charged, obtains the average temperature of the wireless charging device during charging, and obtains the magnetic induction intensity of the wireless charging device during charging;

[0069] A model building module, wherein the model building module builds a temperature decay model with respect to distance and a magnetic field decay model with respect to distance;

[0070] An abnormality judgment module is used to diagnose the cause of the abnormality and the cause of the fault.

[0071] Compared with the prior art, the present invention has the following beneficial effects:

[0072] By setting up a data calculation module, a model building module and an abnormality judgment module, the abnormal causes of wireless charging can be distinguished and processed. It can be determined whether the abnormal cause comes from the wireless charging itself or from the object to be charged. When the abnormal cause comes from the wireless charging itself, the specific cause of the abnormality can be determined based on the step-by-step detection method, and then the wireless charging device can be adjusted in a targeted manner based on the specific cause. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flow chart of a charging abnormality diagnosis method based on wireless charging data analysis of the present invention;

[0074] Figure 2 A schematic diagram of a flow chart of calculating the real-time charging speed of an object to be charged according to the present invention;

[0075] Figure 3 It is a schematic diagram of the charging and discharging standard model process of the present invention;

[0076] Figure 4 This is a schematic diagram of the process of obtaining the average temperature of a wireless charging device during charging according to the present invention;

[0077] Figure 5 A schematic diagram of a process for establishing a temperature decay model with respect to distance according to the present invention;

[0078] Figure 6 A schematic diagram of a process for calculating the predicted temperature of each point within the coverage area of ​​the power transmission coil of a wireless charging device according to the present invention;

[0079] Figure 7 This is a schematic diagram of the process of obtaining the magnetic induction intensity of a wireless charging device when charging according to the present invention;

[0080] Figure 8 A schematic diagram of the process of establishing a magnetic field decay model with respect to distance according to the present invention;

[0081] Fig. 9 This is a schematic diagram of the process of calculating the predicted magnetic field of each point within the coverage area of ​​the power transmission coil of the wireless charging device according to the present invention. DETAILED DESCRIPTION

[0082] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0083] Reference Figure 1 As shown, a charging abnormality diagnosis method based on wireless charging data analysis includes:

[0084] Get the standard charging speed of wireless charging devices;

[0085] Obtaining the initial power of the object to be charged, obtaining the real-time power of the object to be charged, obtaining the real-time accumulated charging time of the object to be charged, calculating the real-time charging speed of the object to be charged, and determining whether the real-time charging speed is equal to the standard charging speed. If so, determining that the charging state is normal; if not, determining that the charging state is abnormal;

[0086] When the charging status is normal, no processing is performed;

[0087] When the charging status is abnormal, diagnose the cause of the abnormality;

[0088] A charging and discharging standard model is arranged at a preset distance from the power transmission coil in the wireless charging device, the charging and discharging standard model receives the magnetic flux lines of the power transmission coil, and obtains the display reading of the charging and discharging standard model;

[0089] If the displayed value is the preset value, it is determined that the abnormal cause is a fault of the object to be charged; if not, it is determined that the abnormal cause is a fault of the wireless charging device;

[0090] When the object to be charged fails, the object to be charged is removed and charging is stopped;

[0091] When the wireless charging device fails, diagnose the cause of the failure;

[0092] Obtain the input current entering the power transmission coil and determine whether the input current is equal to the preset current. If not, the fault cause is the intensity of the input current;

[0093] If yes, then detect the frequency of the input current to determine whether the frequency of the input current is equal to the preset frequency. If not, the cause of the fault is the frequency of the input current;

[0094] If yes, then the average temperature of the wireless charging device during charging is obtained to determine whether the average temperature is equal to the preset temperature. If not, the cause of the fault is the resistance change of the power transmission coil of the wireless charging device due to aging;

[0095] If yes, then obtain the magnetic induction intensity of the wireless charging device when charging, and determine whether the magnetic induction intensity is equal to the preset intensity. If yes, the cause of the fault is the overall performance degradation of the wireless charging device;

[0096] If the overall performance of the wireless charging device is degraded, the wireless charging device needs to be replaced as a whole;

[0097] If not, the cause of the fault is that the power transmission coil of the wireless charging device is deformed due to heat;

[0098] During the detection process, when the corresponding abnormal cause is detected, it is necessary to repair the cause. Only after the abnormality caused by the cause is resolved can the next step be carried out. Otherwise, the original abnormal cause will affect the subsequent detection results.

[0099] Reference Figure 2 As shown, calculating the real-time charging speed of the object to be charged includes the following steps:

[0100] The real-time charge of the object to be charged is subtracted from the initial charge of the object to be charged to obtain the real-time charge;

[0101] The real-time charging capacity is divided by the real-time accumulated charging time to obtain the real-time charging speed;

[0102] When charging is abnormal, the real-time charging speed will inevitably change. Too fast or too slow are both abnormal performances. If it is too slow, the charging performance will decrease, and if it is too fast, the charging temperature may be too high. Continuous charging will cause higher than normal damage to the wireless charging device. Therefore, whether the charging is abnormal can be reversely concluded based on whether the real-time charging speed is abnormal or not.

[0103] Reference Figure 3 As shown, the standard model of charge and discharge is as follows:

[0104] The standard charging and discharging model has a built-in micro-receiving coil;

[0105] The micro power receiving coil receives the magnetic flux lines generated by the power transmitting coil, and an induced current is generated in the micro power receiving coil;

[0106] A miniature power receiving coil is connected in series with an ammeter, and a miniature power receiving coil is connected in series with a discharge device;

[0107] The discharge device discharges at a preset speed;

[0108] The ammeter displays the current in the micro-receiving coil, which is used as the display indication of the standard model of charge and discharge;

[0109] The charging and discharging standard model distinguishes whether the abnormal cause comes from the wireless charging itself or the object to be charged. The charging and discharging standard model uses a micro power receiving coil, which has extremely small overall current loss and will not affect the charging efficiency. When there is no abnormality in the wireless charging itself, the display reading of the charging and discharging standard model is a fixed value. Therefore, the display reading of the charging and discharging standard model can be used to judge whether the abnormal cause comes from the wireless charging itself or the object to be charged. The charging and discharging standard model has a built-in discharge device to prevent continuous charging from causing the charging and discharging standard model to be overloaded.

[0110] Reference Figure 4 As shown, obtaining the average temperature of the wireless charging device during charging includes the following steps:

[0111] Establish a temperature decay model with respect to distance;

[0112] A positioning circle is set at the center of the power transmission coil of the wireless charging device, the radius of the positioning circle is a preset radius, and the center of the positioning circle coincides with the center of the power transmission coil;

[0113] The positioning circle is divided into equal intervals to obtain a preset number of identification points;

[0114] A temperature monitoring device is provided at each identification point, and the temperature monitoring device obtains the real-time temperature at the identification point;

[0115] According to the temperature decay model with respect to distance, the predicted temperature of each point within the coverage range of the power transmission coil of the wireless charging device is calculated;

[0116] Integrate the predicted temperature within the coverage area of ​​the power transmission coil to obtain a temperature integral value;

[0117] Divide the temperature integral value by the area covered by the power transmission coil to obtain the average temperature of the wireless charging device during charging;

[0118] The magnetic field strength at different positions of the power transmission coil is different, resulting in different temperatures. If a single point is used as a data collection point, the fault tolerance is low and measurement errors are prone to occur. Therefore, it is necessary to obtain the average temperature of the wireless charging device during charging for judgment. The average temperature of the wireless charging device during charging corresponds to the heat generated by the wireless charging device, and the heat is generated by the current and the resistance of the power transmission coil. When the current is normal, the cause of the abnormality must be that the resistance of the power transmission coil has changed, because the power transmission coil has aged due to continuous use.

[0119] Reference Figure 5 As shown, establishing a temperature decay model with respect to distance includes the following steps:

[0120] Evenly divide the coverage area of ​​the power transmission coil into at least one positioning block, and select a positioning point at the center of the positioning block;

[0121] Measuring the temperature at the positioning point to obtain at least one positioning temperature;

[0122] The distance from the positioning point to the center of the power transmission coil is taken as the positioning distance, and the positioning temperature is corresponded to the positioning distance;

[0123] In the coordinate system, make an image with the positioning distance as the horizontal coordinate and the positioning temperature as the vertical coordinate;

[0124] A matching function model is selected according to the image as a temperature fitting model, wherein the temperature fitting model contains unknown coefficients;

[0125] The matching function model refers to the temperature fitting function obtained by fitting the function model, which has a high degree of coincidence with the images of the positioning temperature and the positioning distance. However, in actual measurement, the temperature will be different from the positioning temperature due to changes in current or resistance. Therefore, the coefficients in the temperature fitting model are taken as unknown quantities and re-solved according to the actual data to obtain the corresponding temperature fitting function.

[0126] Reference Figure 6 As shown, calculating the predicted temperature of each point within the coverage area of ​​the power transmission coil of the wireless charging device includes the following steps:

[0127] Determine whether the temperature fitting model is a linear function;

[0128] If yes, then substitute the real-time temperature of the identified point and the distance to the center of the power transmission coil into the temperature fitting model, use Cramer’s rule to find the unknown coefficients, and obtain the temperature fitting function;

[0129] That is, the simultaneous equations are solved to obtain unknowns, and the number of identification points is a preset number. If the preset number is set to be greater than the number of coefficient unknowns, sufficient identification point data can be obtained to solve the temperature fitting model;

[0130] If not, the real-time temperature of the identification point and the distance to the center of the power transmission coil are substituted into the temperature fitting model, and the approximate value of the unknown coefficient is obtained by numerical method to obtain the temperature fitting function;

[0131] When the temperature fitting model is nonlinear, the function may be more complex and only approximate results can be solved for substitution;

[0132] The temperature fitting function is used to obtain the predicted temperature of each point within the coverage area of ​​the power transmission coil according to the distance from each point within the coverage area of ​​the power transmission coil to the center of the power transmission coil.

[0133] Reference Figure 7 As shown, obtaining the magnetic induction intensity of the wireless charging device during charging includes the following steps:

[0134] Establish a model for the decay of magnetic field with respect to distance;

[0135] A targeting circle is set at the center of the power transmission coil of the wireless charging device, the radius of the targeting circle is a preset radius, and the center of the targeting circle coincides with the center of the power transmission coil;

[0136] The target circle is divided into equal intervals to obtain a preset number of sampling points;

[0137] A magnetic field monitoring device is set at each sampling point, and the magnetic field monitoring device obtains the real-time magnetic field at the sampling point;

[0138] Based on the decay model of magnetic field with respect to distance, the predicted magnetic field of each point within the coverage range of the transmission coil of the wireless charging device is calculated;

[0139] Integrate the predicted magnetic field within the coverage of the power transmission coil to obtain the magnetic field integral value;

[0140] The magnetic field integral value is divided by the area covered by the power transmission coil to obtain the magnetic induction intensity of the wireless charging device during charging.

[0141] Reference Figure 8 As shown, establishing a magnetic field decay model with respect to distance includes the following steps:

[0142] Evenly divide the coverage area of ​​the power transmission coil into at least one positioning block, and select a positioning point at the center of the positioning block;

[0143] Measuring the magnetic field at the positioning point to obtain at least one positioning magnetic field;

[0144] The distance from the positioning point to the center of the power transmission coil is taken as the positioning distance, and the positioning magnetic field is made to correspond to the positioning distance;

[0145] In the coordinate system, an image is made with the positioning distance as the horizontal coordinate and the positioning magnetic field as the vertical coordinate;

[0146] A matching function model is selected according to the image as the magnetic field fitting model, and the magnetic field fitting model contains coefficient unknowns.

[0147] Reference Fig. 9 As shown, calculating the predicted magnetic field of each point within the coverage area of ​​the power transmission coil of the wireless charging device includes the following steps:

[0148] Determine whether the magnetic field fitting model is a linear function;

[0149] If yes, substitute the real-time magnetic field of the sampling point and the distance to the center of the power transmission coil into the magnetic field fitting model, use Cramer's rule to obtain the coefficient unknowns, and obtain the magnetic field fitting function;

[0150] If not, the real-time magnetic field of the sampling point and the distance to the center of the power transmission coil are substituted into the magnetic field fitting model, and the approximate value of the unknown coefficient is obtained by numerical method to obtain the magnetic field fitting function;

[0151] The magnetic field fitting function is used to obtain the predicted magnetic field of each point within the coverage of the power transmission coil according to the distance from each point within the coverage of the power transmission coil to the center of the power transmission coil.

[0152] A charging abnormality diagnosis system based on wireless charging data analysis, used to implement the above-mentioned charging abnormality diagnosis method based on wireless charging data analysis, comprising:

[0153] A data acquisition module, wherein the data acquisition module acquires the standard charging speed of the wireless charging device, the initial power of the object to be charged, the real-time power of the object to be charged, the real-time cumulative charging time of the object to be charged, the display reading of the charging and discharging standard model, and the input current entering the power transmission coil;

[0154] A data calculation module, wherein the data calculation module calculates the real-time charging speed of the object to be charged, obtains the average temperature of the wireless charging device during charging, and obtains the magnetic induction intensity of the wireless charging device during charging;

[0155] A model building module, wherein the model building module builds a temperature decay model with respect to distance and a magnetic field decay model with respect to distance;

[0156] An abnormality judgment module is used to diagnose the cause of the abnormality and the cause of the fault.

[0157] The working process of the above-mentioned charging abnormality diagnosis system based on wireless charging data analysis is as follows:

[0158] Step 1: The data acquisition module acquires the standard charging speed of the wireless charging device;

[0159] Step 2: obtaining the initial power of the object to be charged, obtaining the real-time power of the object to be charged, obtaining the real-time accumulated charging time of the object to be charged, the data calculation module calculates the real-time charging speed of the object to be charged, and the abnormality judgment module judges whether the real-time charging speed is equal to the standard charging speed. If so, it is judged that the charging state is normal, if not, it is judged that the charging state is abnormal;

[0160] Step 3: When the charging status is normal, no action is taken;

[0161] When the charging status is abnormal, diagnose the cause of the abnormality;

[0162] Step 4: a charging and discharging standard model is set at a preset distance from the power transmission coil in the wireless charging device, the charging and discharging standard model receives the magnetic flux lines of the power transmission coil, and the data acquisition module acquires the display reading of the charging and discharging standard model;

[0163] If the displayed number is the preset value, the abnormality judgment module determines that the abnormality is caused by a fault in the object to be charged; if not, the abnormality judgment module determines that the abnormality is caused by a fault in the wireless charging device;

[0164] When the object to be charged fails, the object to be charged is removed and charging is stopped;

[0165] Step 5: When the wireless charging device fails, the abnormality judgment module diagnoses the cause of the failure;

[0166] The data acquisition module acquires the input current entering the power transmission coil, and the abnormality judgment module judges whether the input current is equal to the preset current. If not, the cause of the fault is the intensity of the input current;

[0167] If yes, the data acquisition module detects the frequency of the input current, and the abnormality judgment module judges whether the frequency of the input current is equal to the preset frequency. If not, the cause of the fault is the frequency of the input current;

[0168] If so, the data calculation module and the model building module coordinate to obtain the average temperature of the wireless charging device during charging, and the abnormality judgment module judges whether the average temperature is equal to the preset temperature. If not, the cause of the fault is the resistance change of the power transmission coil of the wireless charging device due to aging;

[0169] If so, the data calculation module and the model building module coordinate to obtain the magnetic induction intensity of the wireless charging device when charging, and the abnormality judgment module judges whether the magnetic induction intensity is equal to the preset intensity. If so, the cause of the fault is the overall performance degradation of the wireless charging device;

[0170] If not, the cause of the fault is that the power transmission coil of the wireless charging device is deformed due to heat.

[0171] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned charging abnormality diagnosis method based on wireless charging data analysis is executed.

[0172] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0173] In summary, the advantages of the present invention are: by setting a data calculation module, a model building module and an abnormality judgment module, the abnormal causes of wireless charging are distinguished and processed, and it can be judged whether the abnormal cause comes from the wireless charging itself or from the object to be charged. When the abnormal cause comes from the wireless charging itself, the specific cause of the abnormality can be determined according to the step-by-step detection method, and then the wireless charging device can be adjusted in a targeted manner according to the specific cause.

[0174] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A charging abnormality diagnosis method based on wireless charging data analysis, characterized in that: include: Get the standard charging speed of wireless charging devices; Obtaining the initial power of the object to be charged, obtaining the real-time power of the object to be charged, obtaining the real-time accumulated charging time of the object to be charged, calculating the real-time charging speed of the object to be charged, and determining whether the real-time charging speed is equal to the standard charging speed. If so, determining that the charging state is normal; if not, determining that the charging state is abnormal; When the charging status is normal, no processing is performed; When the charging status is abnormal, diagnose the cause of the abnormality; A charging and discharging standard model is arranged at a preset distance from the power transmission coil in the wireless charging device, the charging and discharging standard model receives the magnetic flux lines of the power transmission coil, and obtains the display reading of the charging and discharging standard model; If the displayed value is the preset value, it is determined that the abnormal cause is a fault of the object to be charged; if not, it is determined that the abnormal cause is a fault of the wireless charging device; When the object to be charged fails, the object to be charged is removed and charging is stopped; When the wireless charging device fails, diagnose the cause of the failure; Obtain the input current entering the power transmission coil and determine whether the input current is equal to the preset current. If not, the fault cause is the intensity of the input current; If yes, then detect the frequency of the input current to determine whether the frequency of the input current is equal to the preset frequency. If not, the cause of the fault is the frequency of the input current; If yes, then the average temperature of the wireless charging device during charging is obtained to determine whether the average temperature is equal to the preset temperature. If not, the cause of the fault is the resistance change of the power transmission coil of the wireless charging device due to aging; If yes, then obtain the magnetic induction intensity of the wireless charging device when charging, and determine whether the magnetic induction intensity is equal to the preset intensity. If yes, the cause of the fault is the overall performance degradation of the wireless charging device; If not, the cause of the fault is that the power transmission coil of the wireless charging device is deformed due to heat; The charge and discharge standard model is as follows: The standard charging and discharging model has a built-in micro-receiving coil; The micro power receiving coil receives the magnetic flux lines generated by the power transmitting coil, and an induced current is generated in the micro power receiving coil; A miniature power receiving coil is connected in series with an ammeter, and a miniature power receiving coil is connected in series with a discharge device; The discharge device discharges at a preset speed; The ammeter displays the current in the micro-receiving coil as a display indication of the standard model of charge and discharge.

2. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 1 is characterized in that: The calculation of the real-time charging speed of the object to be charged comprises the following steps: The real-time charge of the object to be charged is subtracted from the initial charge of the object to be charged to obtain the real-time charge; The real-time charging capacity is divided by the real-time accumulated charging time to obtain the real-time charging speed.

3. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 2 is characterized in that: The method of obtaining the average temperature of the wireless charging device during charging comprises the following steps: Establish a temperature decay model with respect to distance; A positioning circle is set at the center of the power transmission coil of the wireless charging device, the radius of the positioning circle is a preset radius, and the center of the positioning circle coincides with the center of the power transmission coil; The positioning circle is divided into equal intervals to obtain a preset number of identification points; A temperature monitoring device is provided at each identification point, and the temperature monitoring device obtains the real-time temperature at the identification point; According to the temperature decay model with respect to distance, the predicted temperature of each point within the coverage range of the power transmission coil of the wireless charging device is calculated; Integrate the predicted temperature within the coverage area of ​​the power transmission coil to obtain a temperature integral value; Divide the temperature integral value by the area covered by the power transmission coil to obtain the average temperature of the wireless charging device during charging.

4. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 3 is characterized in that: The step of establishing a temperature decay model with respect to distance comprises the following steps: Evenly divide the coverage area of ​​the power transmission coil into at least one positioning block, and select a positioning point at the center of the positioning block; Measuring the temperature at the positioning point to obtain at least one positioning temperature; The distance from the positioning point to the center of the power transmission coil is taken as the positioning distance, and the positioning temperature is corresponded to the positioning distance; In the coordinate system, make an image with the positioning distance as the horizontal coordinate and the positioning temperature as the vertical coordinate; A matching function model is selected according to the image as the temperature fitting model, and the temperature fitting model contains unknown coefficients.

5. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 4 is characterized in that: The method of calculating the predicted temperature of each point within the coverage area of ​​the power transmission coil of the wireless charging device comprises the following steps: Determine whether the temperature fitting model is a linear function; If yes, then substitute the real-time temperature of the identified point and the distance to the center of the power transmission coil into the temperature fitting model, use Cramer’s rule to find the unknown coefficients, and obtain the temperature fitting function; If not, the real-time temperature of the identification point and the distance to the center of the power transmission coil are substituted into the temperature fitting model, and the approximate value of the unknown coefficient is obtained by numerical method to obtain the temperature fitting function; The temperature fitting function is used to obtain the predicted temperature of each point within the coverage area of ​​the power transmission coil according to the distance from each point within the coverage area of ​​the power transmission coil to the center of the power transmission coil.

6. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 5, characterized in that: The method of obtaining the magnetic induction intensity of the wireless charging device during charging comprises the following steps: Establish a model for the decay of magnetic field with respect to distance; A targeting circle is set at the center of the power transmission coil of the wireless charging device, the radius of the targeting circle is a preset radius, and the center of the targeting circle coincides with the center of the power transmission coil; The target circle is divided into equal intervals to obtain a preset number of sampling points; A magnetic field monitoring device is set at each sampling point, and the magnetic field monitoring device obtains the real-time magnetic field at the sampling point; Based on the decay model of magnetic field with respect to distance, the predicted magnetic field of each point within the coverage range of the transmission coil of the wireless charging device is calculated; Integrate the predicted magnetic field within the coverage of the power transmission coil to obtain the magnetic field integral value; The magnetic field integral value is divided by the area covered by the power transmission coil to obtain the magnetic induction intensity of the wireless charging device during charging.

7. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 6, characterized in that: The method of establishing a magnetic field decay model with respect to distance comprises the following steps: Evenly divide the coverage area of ​​the power transmission coil into at least one positioning block, and select a positioning point at the center of the positioning block; Measuring the magnetic field at the positioning point to obtain at least one positioning magnetic field; The distance from the positioning point to the center of the power transmission coil is taken as the positioning distance, and the positioning magnetic field is made to correspond to the positioning distance; In the coordinate system, an image is made with the positioning distance as the horizontal coordinate and the positioning magnetic field as the vertical coordinate; A matching function model is selected according to the image as the magnetic field fitting model, and the magnetic field fitting model contains coefficient unknowns.

8. The charging abnormality diagnosis method based on wireless charging data analysis according to claim 7, characterized in that: The method of calculating the predicted magnetic field of each point within the coverage area of ​​the power transmission coil of the wireless charging device comprises the following steps: Determine whether the magnetic field fitting model is a linear function; If yes, substitute the real-time magnetic field of the sampling point and the distance to the center of the power transmission coil into the magnetic field fitting model, use Cramer's rule to obtain the coefficient unknowns, and obtain the magnetic field fitting function; If not, the real-time magnetic field of the sampling point and the distance to the center of the power transmission coil are substituted into the magnetic field fitting model, and the approximate value of the unknown coefficient is obtained by numerical method to obtain the magnetic field fitting function; The magnetic field fitting function is used to obtain the predicted magnetic field of each point within the coverage of the power transmission coil according to the distance from each point within the coverage of the power transmission coil to the center of the power transmission coil.

9. A charging abnormality diagnosis system based on wireless charging data analysis, used to implement the charging abnormality diagnosis method based on wireless charging data analysis as described in any one of claims 1 to 8, characterized in that: include: A data acquisition module, wherein the data acquisition module acquires the standard charging speed of the wireless charging device, the initial power of the object to be charged, the real-time power of the object to be charged, the real-time cumulative charging time of the object to be charged, the display reading of the charging and discharging standard model, and the input current entering the power transmission coil; A data calculation module, wherein the data calculation module calculates the real-time charging speed of the object to be charged, obtains the average temperature of the wireless charging device during charging, and obtains the magnetic induction intensity of the wireless charging device during charging; A model building module, wherein the model building module builds a temperature decay model with respect to distance and a magnetic field decay model with respect to distance; An abnormality judgment module is used to diagnose the cause of the abnormality and the cause of the fault.

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