A charging test control method and system based on Bluetooth speaker

Abstract

The present invention discloses a charging test control method and system based on a Bluetooth speaker, which relates to the technical field of charging performance testing, and includes a charging monitoring module, a bulge determination module and a comprehensive evaluation module; the charging monitoring module is used to obtain monitoring data in real time, the monitoring data including the current, voltage and battery pack temperature during the charging and discharging process of the battery pack, as well as the external environment temperature, and to make an initial judgment on the battery pack performance, and transmit the monitoring data and the initial judgment data to the bulge determination module; the bulge determination module is used to perform quality control analysis on the battery pack that is initially judged to be qualified, and to determine whether the battery pack has bulged by obtaining a thermal imaging image of the battery pack during the charging process and combining it with the acquired monitoring data, and transmit the bulge determination result and the monitoring data to the comprehensive evaluation module; the comprehensive evaluation module is used to combine the initial judgment and secondary judgment results with the monitoring data to perform comprehensive data evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of charging performance testing, and in particular to a charging test control method and system based on a Bluetooth speaker. Background Art

[0002] As the Bluetooth speaker market expands, the industry begins to formulate relevant standards and specifications. The advancement of battery technology, especially the widespread use of lithium-ion batteries, makes Bluetooth speaker charging management more complicated, requiring more sophisticated control strategies to optimize charging efficiency, extend battery life and ensure safety. Through these testing and control methods, manufacturers can ensure the safety, reliability and performance of Bluetooth speakers during the charging process, thereby providing users with high-quality products.

[0003] However, traditional Bluetooth speaker charging tests are usually done manually, which requires a lot of manpower and time. Especially in mass production, the test efficiency is low, and it is difficult to quickly detect and handle complex charging problems, leading to bottlenecks on the production line. At the same time, it is difficult to provide high-precision data, especially in the measurement of temperature, voltage and current. Insufficient accuracy may lead to misjudgment of battery health status, affecting the overall quality of the product.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a charging test control system based on a Bluetooth speaker to solve the above-mentioned technical defects. The present invention obtains the current, voltage and battery pack temperature in real time during the charging and discharging process of the battery pack, records the external ambient temperature in real time, and makes an initial judgment on the battery pack performance. A quality control analysis is performed on the battery pack that passes the initial judgment. By obtaining the thermal imaging image of the battery pack during the charging process and judging whether the battery pack is bulging, a comprehensive data evaluation is performed in combination with the initial judgment and secondary judgment results and monitoring data; the battery pack is classified by quality through the comprehensive data evaluation index.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A charging test control system based on a Bluetooth speaker, comprising a charging monitoring module, a bulge determination module and a comprehensive evaluation module;

[0007] The charging monitoring module is used to obtain monitoring data in real time. The monitoring data includes the current, voltage and battery pack temperature during the charging and discharging process of the battery pack, as well as the external environment temperature, and to make an initial judgment on the battery pack performance, and transmit the monitoring data and the initial judgment data to the bulge judgment module;

[0008] The bulge determination module is used to perform quality control analysis on the battery packs that have been initially determined to be qualified. By obtaining the thermal imaging image of the battery pack during the charging process and combining it with the acquired monitoring data, it is determined whether the battery pack has bulged, and the bulge determination result and monitoring data are transmitted to the comprehensive evaluation module;

[0009] The comprehensive evaluation module is used to combine the initial judgment results and the bulge judgment results, as well as the monitoring data, to conduct a comprehensive data evaluation, and obtain a comprehensive data evaluation index to classify the battery pack quality.

[0010] Preferably, during the charging and discharging process of the battery pack, the current and voltage acquisition process is as follows:

[0011] S101: Get ambient temperature , and obtain the battery pack capacity marked at the factory ;

[0012] S102: Get the cut-off voltage at both ends of the battery pack when the Bluetooth speaker runs out of power ;

[0013] S103: Provide product rated voltage to charging port and rated current , when charging starts, record the charging time , through the built-in voltage sensor and current sensor at the current output end of the charging interface, monitor the output current of the charging interface and output voltage ;

[0014] When the Bluetooth speaker battery pack is fully charged, disconnect the charging port from the Bluetooth speaker and obtain the full charge voltage at this time. .

[0015] Preferably, during the charging and discharging process of the battery pack, the current and voltage determination process is as follows:

[0016] Obtaining the charging capacity by calculation , the formula is:

[0017]

[0018] in, Output current for the charging interface. For charging time, Indicates at time Upper pair current The actual capacity of the battery pack is qualified within the range of ±5% of the nominal capacity; the battery pack capacity is qualified With charging capacity The difference accounts for the battery pack capacity The percentage difference C is obtained by the formula:

[0019]

[0020] By comparing the percentage difference C with the ±5% range of the nominal capacity, it is determined whether it meets the capacitance standards for consumer electronic devices:

[0021] When the percentage difference C exceeds the range of ±5% of the nominal capacity, it does not meet the capacity standards for consumer electronic devices;

[0022] When the percentage difference C does not exceed ±5% of the nominal capacity, it complies with the capacitance standard for consumer electronic devices.

[0023] Preferably, the battery pack temperature acquisition and determination process is as follows:

[0024] Set 55°C as the upper limit of the alarm threshold temperature to determine whether the battery pack charging temperature is qualified: if it is detected that the safe temperature exceeds 55°C, it is judged as unqualified;

[0025] When the safety temperature is detected to be less than or equal to 55°C, it is judged as qualified.

[0026] Preferably, the process of obtaining data on whether a battery pack thermal imaging image has bulge is as follows:

[0027] The thermal image of the battery pack is acquired, analyzed and annotated using FLIR Tools thermal imaging analysis software; the battery pack is divided into 9 areas, and the temperature values ​​of each area are recorded, which are recorded as , where q=1, 2, 3,...,9.

[0028] Preferably, the data processing process of whether the battery pack thermal imaging image has bulge is as follows:

[0029] Get the battery pack charging thermal image from the normally working rechargeable battery pack; use the annotation tool to add labels; select the thermal image from the battery pack with bulging phenomenon and add labels;

[0030] The normal and abnormal data sets in the thermal imaging images of the battery pack during the charging process are divided into training set, validation set and test set.

[0031] Preferably, the process of judging whether a battery pack thermal image has bulge is as follows:

[0032] For linearly separable data, the goal of SVM is to find a hyperplane that maximizes the interval between normal and abnormal samples in the battery pack thermal image. The formula is:

[0033]

[0034] Where w is the normal vector in two-dimensional space; x is the input feature vector;

[0035] The goal of SVM optimization is to minimize the following objective function:

[0036]

[0037] in, The objective to be minimized is a function of w and b; The objective function is half the square of the L2 norm of w;

[0038] At the same time, the constraints are met:

[0039]

[0040] in, is the sample label; is the feature vector of the i-th sample; is the predicted value of the hyperplane equation for the i-th sample; is a constraint;

[0041] Use the trained SVM model for classification to determine whether the battery pack is qualified during the charging process.

[0042] Preferably, the process of obtaining the area score of the battery pack 9 is as follows:

[0043] S301: The temperature values ​​of the 9 regions of the battery pack are obtained respectively, and recorded as , record the specific temperature value of each area, the temperature score formula of the qth area is:

[0044]

[0045] in, The temperature score for the qth region; The natural exponential function is , e is the base of natural logarithms, approximately equal to 2.71828; is the ambient temperature; is the actual temperature value of the qth area; It is the average temperature of all areas under normal working conditions; is the standard deviation of temperature, which indicates the degree of discreteness of temperature distribution. It is calculated by the discrete formula. The larger the standard deviation, the more dispersed the temperature distribution; the smaller the standard deviation, the more concentrated the temperature distribution.

[0046] S302: Calculate the average temperature scores of the 9 regions of the battery pack using the formula:

[0047]

[0048] in, It is the comprehensive score of the average temperature of each area of ​​the battery pack; Sum the temperature scores for all 9 zones;

[0049] S303: By obtaining the initial determination and secondary determination results and monitoring data and combining them with the weighting coefficient, a quality control analysis index Z is generated, and the formula based on it is as follows:

[0050]

[0051] in, , and They are the weighted coefficient of the average temperature comprehensive score, the weighted coefficient of the charging efficiency and the weighted coefficient of the battery pack capacity;

[0052] is the charging efficiency evaluation score, It is the ratio of the battery pack capacity marked at the factory to the charging capacity obtained through testing.

[0053] Preferably, the process of classifying the quality of battery packs by comprehensive data evaluation index is as follows:

[0054] S304: By analyzing the obtained quality control analysis index Z, and the quality control analysis index Z satisfies the acquisition of past quality data of the Bluetooth audio battery pack, the threshold value that fully meets the production index is set to C. Among the qualified Bluetooth audio battery data packets, 20% are excellent products and 80% are good products, that is, the size of the quality control analysis index Z and the 80% threshold C is judged:

[0055] When the quality control analysis index Z is greater than or equal to the threshold C of 80%, the Bluetooth speaker battery pack is marked as a high-quality product;

[0056] When the quality control analysis index Z is less than the 80% threshold C, the Bluetooth audio battery pack is marked as a good product.

[0057] A charging test control method based on a Bluetooth speaker, comprising:

[0058] Step 1: During the charging and discharging process of the battery pack, the current, voltage and battery pack temperature are acquired in real time, and at the same time, the external environment temperature is measured, and the battery pack performance is initially determined, and the monitoring data is transmitted to step 2;

[0059] Step 2: Perform quality control analysis on the battery pack that is initially qualified. By obtaining the thermal imaging image of the battery pack during the charging process and combining it with the acquired monitoring data, determine whether the battery pack has bulged, and transmit the analysis data to step 3;

[0060] Step 3: Combine the initial and secondary judgment results with the monitoring data to conduct a comprehensive data evaluation, obtain the comprehensive data evaluation index, and classify the battery pack by quality.

[0061] The beneficial effects of the present invention are as follows:

[0062] (1) The present invention makes a preliminary judgment on the battery pack by obtaining the current, voltage and battery pack temperature during the battery pack charging and discharging process, as well as the capacitance standards of consumer electronic devices in the industry and application fields. By quantifying the charging test of the Bluetooth speaker, the present invention provides a new idea for automated Bluetooth speaker charging test.

[0063] (2) The present invention uses a support vector machine to detect thermal images of battery packs during the charging process and identify the subtle battery bulging phenomenon. Through thermal imaging detection, potential problems can be discovered before the battery bulging phenomenon becomes obvious, thereby preventing possible safety accidents.

[0064] (3) The present invention divides the battery pack into 9 areas in a "well" shape, records the temperature values ​​of each area in a three-dimensional array, and calculates the temperature score of each area. Based on the average score, combined with the initial judgment and the acquired data, the quality control analysis index is calculated to classify the battery packs by quality. By providing products of different quality grades, the needs of different customers can be met, the psychological expectations of customers can be met, and the damage to the overall brand image caused by the psychological gap of customers can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The present invention will be further described below in conjunction with the accompanying drawings;

[0066] Figure 1 It is a flowchart of the system of the present invention;

[0067] Figure 2 is a reference diagram of the method of the present invention;

[0068] Figure 3 It is a schematic diagram of the overall steps of the present invention. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] Example 1: Please refer to Figure 1 and Figure 3As shown, this embodiment provides a charging test management and control system based on a Bluetooth speaker, including the following modules:

[0071] The charging monitoring module is used to monitor the charging data and environmental data in real time, obtain the current, voltage and battery pack temperature in real time during the charging and discharging process of the battery pack, record the external environmental temperature in real time, make an initial judgment on the battery pack performance, and transmit the monitoring data and initial judgment data to the bulge judgment module;

[0072] The real-time acquisition process of current, voltage and battery pack temperature is as follows:

[0073] Provide a corresponding charging interface according to the specific model of the Bluetooth speaker. The current output end of the charging interface has a built-in voltage sensor and current sensor to monitor and record key parameters in the charging process in real time. It can also simulate a variety of power supply environments, such as different voltages and currents, to evaluate the performance of the speaker battery management system.

[0074] At the same time, an infrared thermal imager is used to analyze the thermal images of the battery pack during the charging process, and the battery pack temperature is acquired in real time. The automatic alarm threshold is set, and combined with the thermal image data analysis software, a warning is immediately issued when an abnormal temperature is detected; at the same time, the abnormal heating area in the battery pack is acquired in time, and potential battery pack problems are discovered and handled in time. For example, when the battery pack has bulged, it usually shows a higher temperature in a certain local area. In order to avoid further safety risks, the abnormally heated battery pack needs to be screened in time.

[0075] S101: Ensure that the test is carried out in a constant temperature environment by controlling and adjusting environmental factors, and obtain the ambient temperature , avoid interference from external heat sources, such as direct sunlight or air conditioning vents blowing directly towards the object being tested, and place the Bluetooth speaker charging bag in a stable and difficult-to-move position to ensure that it remains in place throughout the test;

[0076] S102: Connect a 3.2 ohm resistor to the audio signal output terminal of the Bluetooth speaker to drain the power of the Bluetooth speaker until the flashing red indicator light turns off. Connect the Bluetooth speaker to the charging port to measure the cut-off voltage at both ends of the battery pack when the power of the Bluetooth speaker is drained. ;

[0077] S103: Connect the Bluetooth speaker to the charging port and provide the product rated voltage to the charging port. and rated current , while recording the charging time ; When the green light of the Bluetooth speaker is on, disconnect the charging port from the Bluetooth speaker and obtain the full-charge voltage at this time ;

[0078] Connect the Bluetooth speaker via the charging port and record the charging time when charging starts , through the built-in voltage sensor and current sensor at the current output end of the charging interface, monitor the output current of the charging interface and output voltage , record and draw a table, the table is:

[0079]

[0080] Sa103-1: Add up the charge in all time periods to get the charge capacity , the formula is:

[0081]

[0082] in, Output current for the charging interface. For charging time, Indicates at time Upper pair current At the same time, the battery pack capacity is obtained by obtaining the battery pack capacity marked at the factory ;

[0083] Sa103-2: By obtaining the capacitance standards of consumer electronic devices in the industry and application fields, the actual capacity is qualified within the range of ±5% of the nominal capacity; the actual capacity should not be less than 95% of the nominal capacity and should not be higher than 105% of the nominal capacity;

[0084] Sa103-3: by battery pack capacity With charging capacity The difference accounts for the battery pack capacity The percentage difference C is obtained by the formula:

[0085]

[0086] By comparing the percentage difference C with the ±5% range of the nominal capacity, it is determined whether it meets the capacitance standards for consumer electronic devices:

[0087] When the percentage difference C exceeds the range of ±5% of the nominal capacity, it does not meet the capacity standards of consumer electronic devices and is marked as defective, and the battery is removed and replaced;

[0088] When the percentage difference C does not exceed the range of ±5% of the nominal capacity, it meets the capacitance standard of consumer electronic equipment and is marked as good for secondary determination;

[0089] Before monitoring, set the infrared thermal imager parameters and calibration, and test the alarm function before actually starting monitoring. Set parameters such as temperature range and alarm threshold as needed. For example, you can set an alarm when the temperature exceeds 45°C:

[0090] Temperature range: Set the temperature range from 0°C to 60°C. Obtain the operating temperature range of the lithium-ion battery pack from the data sheet or technical specification provided by the battery pack manufacturer to more accurately observe subtle temperature changes.

[0091] Alarm threshold: Set 55°C as the upper alarm threshold, the maximum allowable temperature of the battery pack, and leave a safety margin to determine whether the battery pack charging temperature is qualified: when it is detected that the safe temperature exceeds 55°C, it is judged as unqualified;

[0092] When the temperature is detected to be less than or equal to the safety temperature of 55°C, it is judged as qualified;

[0093] After being judged as unqualified, an alarm signal is issued to immediately remind the operator; qualified battery packs are further tested and judged;

[0094] The bulging determination module is used to conduct further quality control analysis on the battery packs that have passed the initial determination to determine whether the bulging phenomenon has occurred, and transmit the monitoring data in the secondary determination process to the comprehensive evaluation module;

[0095] When the infrared thermal imager monitors the battery charging process, the bulging battery pack and the battery pack that is about to bulge appear different in the thermal imaging image, which is mainly reflected in the temperature distribution, hot spot area and overall thermal mode; the bulging battery pack has uneven temperature distribution, obvious hot spots, large temperature gradient, and high overall temperature;

[0096] Batteries that have bulged usually show higher temperatures in a certain local area because of the heat concentration caused by internal short circuits or abnormal chemical reactions. The bulged part often forms an obvious high-temperature area, which is in sharp contrast to the relatively uniform temperature distribution on the surface of the normal battery. The temperature drops rapidly from the center of the bulge to the periphery, forming a significant temperature gradient. And due to the increase in internal pressure and intensified chemical reactions, the average temperature of the entire battery pack may be higher than normal.

[0097] The temperature of a battery pack that is about to swell gradually increases, the local temperature rises, and the temperature change trend is slow, with a slight temperature gradient. Before the battery is about to swell, some areas may show a trend of slowly rising temperature, but it will not form a very obvious hot spot; although the swelling phenomenon is difficult to be obvious to the naked eye, some parts have begun to show a trend of slightly higher temperatures, which may be due to changes in the internal structure; through continuous monitoring, the temperature of the area gradually increases over time, and the temperature trend change is an important basis for identifying potential problems; and compared with the battery that has already swelled, the temperature gradient around the local temperature rise area of ​​the battery that is about to swell is smaller, and the temperature transition is smoother;

[0098] S201: Before monitoring, let the infrared thermal imager warm up for a while until it reaches a stable state, aim at the battery pack of the Bluetooth speaker, and adjust the focus of the thermal imager to ensure that the image is clear and covers the entire battery pack area;

[0099] Sa201-1: Color palette: Select an appropriate pseudo-color palette to facilitate the acquisition of temperature differences, which is more intuitive and easy to read, and also facilitates machine recognition of abnormal thermal images;

[0100] Sa201-2: Connect the infrared thermal imager to the computer using a USB cable, and open the matching thermal imaging analysis software FLIR Tools; set the automatic recording function, including the thermal imaging image capture frequency of one thermal image per second;

[0101] S202: View the thermal image sent back by the infrared thermal imager in real time on the computer screen, note whether there are local hot spots that are not found by the machine recognition, and manually mark the abnormalities to improve the accuracy of machine recognition in the subsequent analysis process;

[0102] S203: Acquisition and preprocessing of data sets of normal and abnormal thermal images during the charging process of the Bluetooth audio battery pack. Collect thermal images of abnormal conditions encountered during the production of the battery pack from the feedback of the production line. At the same time, useful data can be extracted from the company's existing historical records, especially thermal images of battery pack bulging phenomena that have been confirmed as abnormal conditions. Under safe conditions, some common fault conditions (such as overcharging, short circuit, etc.) are artificially created; thermal images of the battery packs in these conditions are collected to prevent danger from occurring.

[0103] Sa203-1: A team with sufficient professional knowledge is used to determine the status of the battery pack and train the team members. The normal and abnormal conditions of the thermal imaging images of the battery pack during charging are marked separately. At the same time, the battery pack is divided into 9 areas in a "well" shape, and the temperature values ​​of each area are recorded in a three-dimensional array, which are recorded as , where q = 1, 2, 3, ..., 9, record the specific temperature value of each area for subsequent analysis;

[0104] Normal marking:

[0105] Select samples: Select representative thermal images from a normally functioning rechargeable battery pack;

[0106] Marking areas: Use the marking tool to mark key areas of the battery pack (such as battery surface, connection points, etc.) on the thermal imaging image;

[0107] Add labels: Add labels to each area, such as "Normal temperature area", "Connection point normal", "Battery pack normal", etc.

[0108] Abnormal situation marking:

[0109] Select samples: Select thermal images of battery packs from the charging process of simulated or actual faults;

[0110] Hotspot Annotation: Mark abnormally high temperature areas or other abnormal features in the image;

[0111] Add labels: Add labels to each abnormal area, such as "overheating area", "local hot spot", "connection point overheating", "battery pack has bulged", "battery pack may bulge", etc.

[0112] Describe the problem: Add notes in the annotation tool to describe the cause and possible impact of the abnormal situation in detail;

[0113] Sa203-2: Use median filtering to remove noise from battery pack thermal images to make them clearer; use histogram equalization to increase the contrast of the image and make the temperature difference more obvious; and normalize the pixel values ​​of the image to a standard range of -1 to 1 to eliminate differences under different equipment and environmental conditions; use background subtraction technology to highlight the area of ​​interest and reduce the irrelevant background information in the battery pack thermal image; use edge detection algorithms to identify and mark boundaries in the image, which helps to distinguish different objects and areas; and divide the image into multiple regions, each representing a different temperature range or physical part, for further analysis;

[0114] Sa203-3: Divide the normal and abnormal data sets in the thermal imaging images of the battery pack during the charging process into training sets, validation sets, and test sets;

[0115] Sa203-4: For linearly separable data, the goal of SVM is to find a hyperplane that maximizes the interval between normal and abnormal samples in the battery pack thermal image. The formula is:

[0116]

[0117] in, is the normal vector in two-dimensional space; x is the input feature vector, which represents the data point of the sample; for example, in thermal image classification, X can be the extracted temperature distribution features, the location and size of the hot spot area, etc.; b is the bias term, which represents the distance between the hyperplane and the origin;

[0118] The goal of SVM optimization is to minimize the following objective function:

[0119]

[0120] in, The objective to be minimized is a function of w and b; The objective function is w half the square of the norm;

[0121] At the same time, the constraints are met:

[0122]

[0123] in, is the sample label. For binary classification problems, it usually takes the value of +1 or -1. In thermal image classification, +1 can represent a normal image, and -1 can represent an abnormal image. is the feature vector of the i-th sample; is the predicted value of the hyperplane equation for the i-th sample; As a constraint, it requires that the distance from all training samples to the hyperplane is at least 1 (unit distance), ensuring that the interval between the two types of samples is maximized; model training, select the appropriate kernel function according to the characteristics of the data, and set the parameters of the SVM. Use the training set data to train the SVM model, solve the above optimization problem, obtain the optimal w and b, use the validation set to evaluate the performance of the model, adjust the parameters to optimize the model, and finally use the test set to evaluate the generalization ability of the model, calculate the accuracy, recall, Indicators such as scores;

[0124] Sa203-5: Extract features from the thermal image of the battery pack during charging and use the trained SVM model to classify it to determine whether it is qualified or unqualified;

[0125] Comprehensive evaluation module, which is used to combine the initial and secondary judgment results with monitoring data to conduct comprehensive data evaluation and classify the quality through battery pack quality control analysis;

[0126] S301: The temperature values ​​of the 9 regions of the battery pack are obtained respectively, and recorded as , record the specific temperature value of each area, the formula is:

[0127]

[0128] in, The temperature score of the qth region; The natural exponential function is , e is the base of natural logarithms, approximately equal to 2.71828; is the ambient temperature; is the actual temperature value of the qth area; It is the average temperature of all areas under normal working conditions; is the standard deviation of temperature, which indicates the degree of discreteness of temperature distribution. It is calculated by the discrete formula. The larger the standard deviation, the more dispersed the temperature distribution; the smaller the standard deviation, the more concentrated the temperature distribution.

[0129] S302: Calculate the average temperature scores of the 9 regions of the battery pack using the formula:

[0130]

[0131] in, It is the comprehensive score of the average temperature of each area of ​​the battery pack; Sum the temperature scores for all 9 zones;

[0132] For example, if the battery pack is divided into 9 zones, each zone has a specific temperature reading, specifically:

[0133] when equal When , the highest score is 1;

[0134] when keep away When , the score gradually decreases and approaches 0;

[0135] Add and average the temperature scores of all zones to get an average temperature composite score;

[0136] S303: By obtaining the initial determination and secondary determination results and monitoring data and combining them with the weighting coefficient, a quality control analysis index Z is generated, and the formula based on it is as follows:

[0137]

[0138] in, , and They are the weighted coefficient of the average temperature comprehensive score, the weighted coefficient of the charging efficiency and the weighted coefficient of the battery pack capacity;

[0139] It is the charging efficiency evaluation score. The higher the score, the higher the battery performance, the more active the internal chemical properties, and the longer the battery life. Conversely, the lower the score, the weaker the battery performance, the more stable the internal chemical properties, and the shorter the battery life.

[0140] It is the ratio of the battery pack capacity marked at the factory to the charging capacity obtained by the test. When the ratio approaches 1, the battery pack produced is more compliant with the standard.

[0141] S304: By analyzing the obtained quality control analysis index Z, and the quality control analysis index Z satisfies the acquisition of past quality data of the Bluetooth audio battery pack, the threshold value that fully meets the production index is set to C. Among the qualified Bluetooth audio battery data packets, 20% are excellent products and 80% are good products, that is, the size of the quality control analysis index Z and the 80% threshold C is judged:

[0142] When the quality control analysis index Z is greater than or equal to the threshold C of 80%, the Bluetooth speaker battery pack is marked as a high-quality product;

[0143] When the quality control analysis index Z is less than the 80% threshold C, the Bluetooth audio battery pack is marked as a good product.

[0144] Example 2: Please refer to Figure 2 Based on Example 1, this embodiment also provides a charging test control method based on a Bluetooth speaker, including the following specific steps:

[0145] Step 1: During the charging and discharging process of the battery pack, the current, voltage and battery pack temperature are acquired in real time, and at the same time, the external environment temperature is measured, and the battery pack performance is initially determined, and the monitoring data is transmitted to step 2;

[0146] Step 2: Perform quality control analysis on the battery pack that is initially qualified. By obtaining the thermal imaging image of the battery pack during the charging process and combining it with the acquired monitoring data, determine whether the battery pack has bulged, and transmit the analysis data to step 3;

[0147] Step 3: Combine the initial and secondary judgment results with the monitoring data to conduct a comprehensive data evaluation, obtain the comprehensive data evaluation index, and classify the battery pack by quality.

[0148] In the application, the several formulas involved are all calculated by removing dimensions and taking their numerical values, and the formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The formula is set by technical personnel in this field according to actual conditions.

[0149] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0150] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A charging test control system based on Bluetooth speakers, characterized in that: Including charging monitoring module, bulge determination module and comprehensive evaluation module; The charging monitoring module is used to obtain monitoring data in real time. The monitoring data includes the current, voltage and battery pack temperature during the charging and discharging process of the battery pack, as well as the external environment temperature, and to make an initial judgment on the battery pack performance, and transmit the monitoring data and the initial judgment data to the bulge judgment module; The bulge determination module is used to perform quality control analysis on the battery packs that have been initially determined to be qualified. By obtaining the thermal imaging image of the battery pack during the charging process and combining it with the acquired monitoring data, it is determined whether the battery pack has bulged, and the bulge determination result and monitoring data are transmitted to the comprehensive evaluation module; The comprehensive evaluation module is used to combine the initial determination results and the bulge determination results with the monitoring data to conduct a comprehensive data evaluation and obtain a comprehensive data evaluation index to classify the battery pack quality; The battery pack is divided into 9 areas, and the temperature values ​​are obtained respectively, which are recorded as , record the specific temperature value of each area, the temperature score formula of the qth area is: in, The temperature score of the qth region; The natural exponential function is , e is the base of natural logarithm; D h is the ambient temperature; is the actual temperature value of the qth area; It is the average temperature of all areas under normal working conditions; is the standard deviation of temperature; And calculate the average temperature score of the 9 areas of the battery pack, the formula is: in, It is the comprehensive score of the average temperature of each area of ​​the battery pack; Sum the temperature scores for all 9 zones; Obtaining comprehensive data evaluation index includes: obtaining the initial judgment and bulge judgment results, monitoring data and the average temperature of each area of ​​the battery pack. , and combined with the weighted coefficient, generate the quality control analysis index Z, based on the following formula: in, , and They are the weighted coefficient of the average temperature comprehensive score, the weighted coefficient of the charging efficiency and the weighted coefficient of the battery pack capacity; is the full-charge voltage; It is the cut-off voltage at both ends of the battery pack when the Bluetooth speaker runs out of power; is the rated voltage; For charging time; Output current for the charging interface; is the charging capacity; The battery capacity is marked at the factory; is the charging efficiency evaluation score, It is the ratio of the battery pack capacity marked at the factory to the charging capacity obtained through testing.

2. According to claim 1, a charging test control system based on a Bluetooth speaker is characterized in that: During the charging and discharging process of the battery pack, the current and voltage acquisition process is as follows: S101: Get ambient temperature And the battery pack capacity marked at the factory ; S102: Get the cut-off voltage at both ends of the battery pack when the Bluetooth speaker runs out of power ; S103: Provide product rated voltage to charging port and rated current , when charging starts, record the charging time , through the built-in voltage sensor and current sensor at the current output end of the charging interface, monitor the output current of the charging interface and output voltage ; When the Bluetooth speaker battery pack is fully charged, disconnect the charging port from the Bluetooth speaker and obtain the full charge voltage at this time. .

3. According to claim 2, a charging test control system based on a Bluetooth speaker is characterized in that: During the charging and discharging process of the battery pack, the current and voltage determination process is as follows: Obtaining the charging capacity by calculation , the formula is: in, Output current for the charging interface. For charging time, Indicates at time Upper pair current The actual capacity of the battery pack is qualified within the range of ±5% of the nominal capacity; the battery pack capacity is qualified With charging capacity The difference in battery capacity The percentage difference C is obtained by the formula: By comparing the percentage difference C with the ±5% range of the nominal capacity, it is determined whether it meets the capacitance standards for consumer electronic devices: When the percentage difference C exceeds the range of ±5% of the nominal capacity, it does not meet the capacity standards for consumer electronic devices; When the percentage difference C does not exceed ±5% of the nominal capacity, it complies with the capacitance standard for consumer electronic devices.

4. According to claim 3, a charging test control system based on a Bluetooth speaker is characterized in that: The battery pack temperature acquisition and determination process is as follows: Set 55°C as the upper limit of the alarm threshold temperature to determine whether the battery pack charging temperature is qualified: if it is detected that the safe temperature exceeds 55°C, it is judged as unqualified; When the safety temperature is detected to be less than or equal to 55°C, it is judged as qualified.

5. According to claim 1, a charging test control system based on a Bluetooth speaker is characterized in that: The process of obtaining data on whether the battery pack thermal imaging image has bulge is as follows: The battery pack thermal image is acquired, and the battery pack thermal image is analyzed using FLIR Tools thermal imaging analysis software. The analyzed battery pack thermal image is annotated; at the same time, the battery pack is divided into 9 areas, and the temperature value of each area is recorded, which is recorded as , where q=1, 2, 3,...,9.

6. According to claim 5, a charging test control system based on a Bluetooth speaker is characterized in that: The preprocessing process of the battery pack thermal imaging image is as follows: Get the battery pack charging thermal image from the normally working rechargeable battery pack; use the annotation tool to add labels; select the thermal image from the battery pack with bulging phenomenon and add labels; The normal and abnormal data sets in the thermal imaging images of the battery pack during the charging process are divided into training set, validation set and test set.

7. A charging test control system based on a Bluetooth speaker according to claim 1, characterized in that: The process of judging whether the battery pack is bulging or not is as follows: For linearly separable data, the goal of SVM is to find a hyperplane that maximizes the interval between normal and abnormal samples in the battery pack thermal image. The formula is: Among them, w is the normal vector in two-dimensional space; x is the input feature vector; b is the bias term; The goal of SVM optimization is to minimize the following objective function: in, The objective to be minimized is a function of w and b; The objective function is half the square of the L2 norm of w; At the same time, the constraints are met: in, is the sample label; is the feature vector of the i-th sample; is the predicted value of the hyperplane equation for the i-th sample; is a constraint; Use the trained SVM model for classification to determine whether the battery pack is qualified during the charging process.

8. A charging test control system based on a Bluetooth speaker according to claim 7, characterized in that: The process of classifying battery pack quality through comprehensive data evaluation index is as follows: By analyzing the obtained quality control analysis index Z, and the quality control analysis index Z meets the acquisition of past quality data of Bluetooth audio battery packs, the threshold that meets the production indicators is set to C. Among the qualified Bluetooth audio battery data packets, 20% are excellent products and 80% are good products, that is, the size of the quality control analysis index Z and the 80% threshold C is judged: When the quality control analysis index Z is greater than or equal to the threshold C of 80%, the Bluetooth speaker battery pack is marked as a high-quality product; When the quality control analysis index Z is less than the 80% threshold C, the Bluetooth audio battery pack is marked as a good product.

9. A charging test control method based on a Bluetooth speaker, characterized in that: The system is applied to a charging test control system based on a Bluetooth speaker as described in any one of claims 1 to 8, comprising the following steps: Step 1: During the charging and discharging process of the battery pack, the current, voltage and battery pack temperature are acquired in real time, and at the same time, the external environment temperature is measured, and the battery pack performance is initially determined, and the monitoring data is transmitted to step 2; Step 2: Perform quality control analysis on the battery pack that is initially qualified. By obtaining the thermal imaging image of the battery pack during the charging process and combining it with the acquired monitoring data, determine whether the battery pack has bulged, and transmit the analysis data to step 3; Step 3: Combine the initial and secondary judgment results with the monitoring data to conduct a comprehensive data evaluation, obtain the comprehensive data evaluation index, and classify the battery pack by quality.

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