Quick-charging mobile power supply stability test method and related equipment

Abstract

The invention provides a quick-charging mobile power supply stability test method and related equipment, and relates to the technical field of quick-charging mobile power supply testing. The method comprises the following steps: obtaining real-time electromagnetic interference characteristic data; according to the real-time electromagnetic interference characteristic data, dynamically adjusting a signal threshold value identified by a fast charging protocol to obtain an adjusted signal threshold value; controlling the quick-charging mobile power supply to be circularly switched and connected with test equipment supporting PD, QC and private quick-charging protocols, and acquiring related parameter information after each protocol switching; and according to the related parameter information, obtaining charging performance evaluation results of the fast-charging mobile power supply under different charging environments and different protocols. According to the method for testing the stability of the fast-charging mobile power supply, the performance of the fast-charging mobile power supply in different charging environments can be effectively tested, reliable test data is provided for improving the success rate of protocol identification of the fast-charging mobile power supply and reducing the misjudgment rate, and an enterprise is supported to improve the stability of the fast-charging mobile power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of fast - charging mobile power supply testing. Specifically, it relates to a method for testing the stability of a fast - charging mobile power supply and related equipment. Background Art

[0002] Business travelers face diverse charging scenarios and complex fast - charging protocol environments during their journeys. They usually need to carry multiple devices such as smartphones, tablets, and wireless earphones, which support different fast - charging protocols, such as PD, QC, and various proprietary fast - charging protocols. In hotel rooms, they use AC power sockets for charging; in cars, they rely on in - vehicle chargers; and in public places such as airports, they may use public USB charging ports. However, the power quality and electromagnetic environment of these charging environments vary significantly. The power supplies in places such as hotels, cars, and airports have different voltage stabilities, current purities, and electromagnetic interference levels, which pose severe challenges to the protocol compatibility of fast - charging mobile power supplies.

[0003] Existing fast - charging mobile power supplies still have deficiencies in protocol compatibility. They usually adopt fixed protocol recognition thresholds and cannot be adaptively adjusted according to changes in the charging environment. In an environment with strong electromagnetic interference, a fixed low threshold is likely to cause misjudgment, misidentifying interference signals as protocol signals, resulting in protocol recognition errors or frequent retries, and ultimately leading to unstable or even failed charging. In an environment with weak electromagnetic interference, a fixed high threshold may reduce the recognition sensitivity and affect the normal triggering of the fast - charging protocol. In addition, the power quality fluctuations in different charging environments also affect the performance of fast - charging mobile power supplies.

[0004] Therefore, in order to meet the charging needs of business travel users in various complex scenarios, there is an urgent need for a testing method that can obtain the performance of fast - charging mobile power supplies in different charging environments, provide reliable test data for enterprises, and help enterprises develop fast - charging mobile power supplies that can achieve stable and efficient fast - charging in various environments. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for testing the stability of a fast - charging mobile power supply and related equipment, which can effectively test the performance of a fast - charging mobile power supply in different charging environments, provide reliable test data for improving the success rate of protocol recognition and reducing the misjudgment rate of a fast - charging mobile power supply, and support enterprises in improving the stability of fast - charging mobile power supplies.

[0006] In a first aspect, the present invention provides a method for testing the stability of a fast - charging mobile power supply, which is applied to a power test system and includes the following steps: Monitor the electromagnetic spectrum of the charging interface to obtain real - time electromagnetic interference characteristic data; Dynamically adjust the signal threshold for fast charging protocol recognition based on real-time electromagnetic interference characteristic data to obtain the adjusted signal threshold; Based on the adjusted signal threshold, control the fast charging mobile power supply to cyclically switch and connect to test devices supporting PD, QC, and private fast charging protocols, and collect relevant parameter information each time after the protocol switch; the relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate, and protocol recognition misjudgment rate; Obtain the charging performance evaluation results of the fast charging mobile power supply under different charging environments and different protocols according to the relevant parameter information.

[0007] The fast charging mobile power supply stability test method provided by the present invention tests the protocol recognition success rate and protocol recognition misjudgment rate of the fast charging mobile power supply under different charging environments and different protocols by dynamically adjusting the signal threshold, which serves as the data basis for evaluating the stability of the fast charging mobile power supply.

[0008] Further, the step of dynamically adjusting the signal threshold for fast charging protocol recognition based on real-time electromagnetic interference characteristic data to obtain the adjusted signal threshold includes: By analyzing the signal characteristics of PD, QC, and private fast charging protocols, extract the protocol signal frequency and signal intensity range, and construct a protocol characteristic database containing protocol type, signal frequency range, and signal intensity threshold range according to the extracted information; According to the real-time electromagnetic interference characteristic data, analyze the interference intensity within the signal frequency range of each protocol, and combine the signal intensity threshold range in the protocol characteristic database to calculate the signal-to-noise ratio of each protocol. Finally, determine the anti-interference level of each protocol according to the signal-to-noise ratio; among them, the lower the signal-to-noise ratio, the higher the anti-interference level; For fast charging protocols with different anti-interference levels, in the order from low to high anti-interference level, adopt a hierarchical adjustment strategy, according to the formula Adjust the signal threshold for fast charging protocol recognition to obtain the adjusted signal threshold; where is the signal threshold adjustment amount, k is a preset adjustment coefficient, D is the anti-interference level, and I is the current protocol signal intensity; among them, the higher the anti-interference level of the protocol, the greater the adjustment amplitude of its signal threshold.

[0009] By dynamically adjusting the signal threshold for fast charging protocol recognition, the protocol recognition success rate and charging stability of the fast charging mobile power supply in a complex electromagnetic environment can be improved.

[0010] Further, the steps of analyzing the interference intensity within the frequency range of each protocol signal according to the real-time electromagnetic interference characteristic data, combining with the signal intensity threshold range in the protocol characteristic database, calculating the signal-to-noise ratio of each protocol, and finally determining the anti-interference level of each protocol according to the signal-to-noise ratio include: Continuously monitor and record the signal intensity of each protocol within a preset time window to obtain a protocol signal intensity time series; Calculate the maximum and minimum values of the signal intensity of each protocol according to the protocol signal intensity time series to obtain the signal intensity fluctuation range; Analyze the interference intensity within the frequency range of each protocol signal according to the real-time electromagnetic interference characteristic data, combine with the signal intensity threshold range in the protocol characteristic database, calculate the instantaneous signal-to-noise ratio of each protocol, and at the same time calculate the dynamic signal-to-noise ratio according to the signal intensity fluctuation range; the dynamic signal-to-noise ratio is equal to the difference range between the instantaneous signal-to-noise ratio and the signal intensity fluctuation range; Determine the anti-interference level of each protocol according to the dynamic signal-to-noise ratio; among them, the lower the dynamic signal-to-noise ratio, the higher the anti-interference level.

[0011] By introducing the dynamic signal-to-noise ratio, the real anti-interference ability of the fast charging protocol in a signal fluctuation and interference environment can be evaluated more precisely, providing a more reliable basis for the subsequent dynamic adjustment of the signal threshold.

[0012] Further, based on the adjusted signal threshold, the steps of controlling the fast charging mobile power supply to cyclically switch and connect to the test devices supporting PD, QC, and private fast charging protocols, and collecting relevant parameter information each time after the protocol switch include: Record the number of plugging and unplugging times of the fast charging mobile power supply cyclically switching and connecting to the test device, and calculate the contact resistance value according to the formula R = a*N + b; where R is the contact resistance value, N is the number of plugging and unplugging times, a is the resistance growth coefficient, and b is the initial contact resistance value; After each protocol switch, collect the device ID of each test device, and query the pre-established device characteristic database according to the device ID to obtain the device internal resistance of each test device; Based on the contact resistance value and the device internal resistance of the corresponding test device, according to the formula and , correct the collected charging voltage data and charging current data to obtain the corrected charging voltage data and charging current data; where, is the corrected charging voltage data, is the collected charging current data, is the device internal resistance of the corresponding test device, is the corrected charging current data, is the collected charging voltage data; the relevant parameter information also includes the corrected charging voltage data and charging current data.

[0013] Through the above calibration process, the influence of contact resistance and internal resistance of the device on the charging voltage data can be eliminated, and the voltage value closer to the true charging state can be obtained, thereby improving the accuracy of the test data.

[0014] Further, after each protocol switch, the steps of collecting the device IDs of each test device and querying the pre-established device characteristic database according to the device IDs to obtain the internal resistance of each test device include: Real-time monitoring of the test environment temperature, and according to the formula Calculate the internal resistance value of the device at the current temperature; where is the internal resistance value of the device at the reference temperature stored in the device characteristic database, is the temperature coefficient of the internal resistance of the device, T is the current test environment temperature; is the reference temperature; Judge whether the current temperature exceeds the preset temperature range; If the current temperature exceeds the preset temperature range, a temperature anomaly warning is issued and the test is paused. Otherwise, the calculated internal resistance value of the device is used as the internal resistance of the current test device for subsequent correction of charging voltage and current data.

[0015] In a second aspect, the present invention provides a fast charging mobile power stability test device, which is applied to a power test system and includes: A monitoring module for monitoring the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data; An adjustment module for dynamically adjusting the signal threshold for fast charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain an adjusted signal threshold; A switching module for controlling the fast charging mobile power to cyclically switch and connect to test devices supporting PD, QC, and private fast charging protocols based on the adjusted signal threshold, and collecting relevant parameter information after each protocol switch; the relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate, and protocol recognition misjudgment rate; An evaluation module for obtaining the charging performance evaluation results of the fast charging mobile power under different charging environments and different protocols according to the relevant parameter information.

[0016] The fast charging mobile power stability test device provided by the present invention can effectively simulate a complex electromagnetic environment and dynamically adjust the protocol recognition mechanism, thereby more accurately testing and evaluating the stability of the fast charging mobile power.

[0017] In a third aspect, the present invention provides an electronic device, including a processor and a memory. The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the fast charging mobile power stability testing method provided in the first aspect as described above are run.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the fast charging mobile power stability testing method provided in the first aspect as described above are run.

[0019] As can be seen from the above, the fast charging mobile power stability testing method provided by the present invention tests the protocol recognition success rate and protocol recognition misjudgment rate of the fast charging mobile power under different charging environments and different protocols by dynamically adjusting the signal threshold, so as to provide reliable test data to support enterprises in improving the stability of fast charging mobile power, which helps enterprises better develop fast charging mobile power that can overcome electromagnetic interference and power quality differences brought by different charging environments.

[0020] Other features and advantages of the present invention will be described in the subsequent specification, and part of them will become obvious from the specification, or can be understood by implementing the embodiments of the present invention. The objectives and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the written specification and the drawings. Description of the Drawings

[0021] Figure 1 It is a flowchart of the fast charging mobile power stability testing method provided by an embodiment of the present invention.

[0022] Figure 2 It is a schematic structural diagram of the fast charging mobile power stability testing device provided by an embodiment of the present invention.

[0023] Figure 3 It is a schematic structural diagram of the electronic device provided by an embodiment of the present invention.

[0024] Reference Numeral Explanation: 100, monitoring module; 200, adjustment module; 300, switching module; 400, evaluation module; 13, electronic device; 1301, processor; 1302, memory; 1303, communication bus. Detailed Embodiments

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0026] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present invention, terms such as "first", "second", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0027] Referring to Figure 1 , the present invention provides a method for testing the stability of a fast-charging mobile power supply, which is applied to a power supply test system and includes the following steps: Monitor the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data; According to the real-time electromagnetic interference characteristic data, dynamically adjust the signal threshold for fast-charging protocol recognition to obtain an adjusted signal threshold; Based on the adjusted signal threshold, control the fast-charging mobile power supply to cyclically switch and connect to test devices that support PD, QC, and proprietary fast-charging protocols, and collect relevant parameter information each time the protocol is switched; the relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate, and protocol recognition misjudgment rate; According to the relevant parameter information, obtain the charging performance evaluation results of the fast-charging mobile power supply under different charging environments and different protocols.

[0028] In this embodiment, monitoring the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data can be implemented as follows: Connect an electromagnetic spectrum analyzer to the charging interface of the fast-charging mobile power supply to collect the electromagnetic spectrum data near the charging interface in real time. The electromagnetic spectrum data can reflect the electromagnetic interference intensity and frequency distribution characteristics of the current charging environment. According to the real-time electromagnetic interference characteristic data, dynamically adjusting the signal threshold for fast-charging protocol recognition to obtain the adjusted signal threshold can be implemented as follows: Pre-establish a protocol characteristic database, which stores information such as the signal frequency range and signal intensity threshold range of PD, QC, and proprietary fast-charging protocols. The system analyzes the interference intensity within the signal frequency range of each protocol based on the real-time electromagnetic interference characteristic data, and combines it with the protocol characteristic database to calculate the signal-to-noise ratio of each protocol. The signal-to-noise ratio is used to determine the anti-interference level of each protocol. For fast-charging protocols with different anti-interference levels, a hierarchical adjustment strategy is adopted to adjust the signal threshold for fast-charging protocol recognition according to a preset formula. The higher the anti-interference level of the protocol, the greater the adjustment amplitude of the signal threshold. Based on the adjusted signal threshold, controlling the fast-charging mobile power supply to cyclically switch and connect to test devices supporting PD, QC, and proprietary fast-charging protocols, and collecting relevant parameter information each time after the protocol switch can be implemented as follows: Use a switching matrix to control the fast-charging mobile power supply to sequentially connect to test devices supporting PD, QC, and proprietary fast-charging protocols. Each time after the protocol switch, the data acquisition module collects relevant parameter information such as charging voltage data and charging current data, and records the protocol recognition success rate and protocol recognition misjudgment rate. According to the relevant parameter information, obtaining the charging performance evaluation results of the fast-charging mobile power supply under different charging environments and different protocols can be implemented as follows: The evaluation module analyzes the collected relevant parameter information, comprehensively evaluates the charging performance of the fast-charging mobile power supply under different charging environments and different protocols, and generates a test report.

[0029] Specifically, the technical solution aims to solve the technical problems of unstable protocol recognition and inaccurate charging performance evaluation caused by the use of fixed protocol recognition thresholds in existing fast-charging mobile power supplies in complex electromagnetic environments. First, by monitoring the electromagnetic spectrum of the charging interface, real-time electromagnetic interference characteristic data is obtained, providing an environmental basis for dynamically adjusting the protocol recognition threshold subsequently. Then, according to the obtained electromagnetic interference data, the signal threshold for fast-charging protocol recognition is dynamically adjusted. Thus, the testing method can adapt to different electromagnetic environments, avoiding the problems of easy misjudgment when the interference is strong and insufficient sensitivity when the interference is weak with fixed thresholds. Next, control the fast-charging mobile power supply to cycle and switch to connect test devices that support multiple fast-charging protocols, simulating various protocol compatibility scenarios that may be encountered in actual applications. After each protocol switch, key parameters such as charging voltage, current and their fluctuations, protocol recognition success rate and misjudgment rate are collected. These parameters comprehensively reflect the charging performance of the fast-charging mobile power supply under different protocols and the accuracy of protocol recognition. Finally, based on the collected parameter information, comprehensively evaluate the charging performance of the fast-charging mobile power supply under different charging environments and protocols.

[0030] It should be noted that in actual application, the signal threshold is adjusted according to the signal threshold adjustment amount, which determines the amplitude of each adjustment. When testing the fast-charging mobile power supply, the signal threshold is adjusted by increasing or decreasing, and multiple tests are carried out accordingly. Thus, relevant parameter information (i.e., test data) of the fast-charging mobile power supply under different signal thresholds can be obtained. Enterprises can clearly understand the performance of the fast-charging mobile power supply under different signal thresholds based on the relevant parameter information, such as charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate and protocol recognition misjudgment rate, etc.

[0031] Through the above steps, the complex electromagnetic environment is effectively simulated, and the protocol recognition mechanism is dynamically adjusted, thereby more accurately testing and evaluating the stability of the fast-charging mobile power supply, providing a technical means to solve the problems of unstable protocol recognition and inaccurate evaluation caused by fixed thresholds in the existing technology.

[0032] In some specific embodiments, the fast charging mobile power supply stability test method can be implemented in a power supply test system. At the beginning of the test, the electromagnetic spectrum analyzer monitors the electromagnetic spectrum of the charging interface of the fast charging mobile power supply in real time and transmits the electromagnetic interference characteristic data to the adjustment module. The adjustment module calculates the anti-interference level of each fast charging protocol according to the preset protocol characteristic database and the received electromagnetic interference characteristic data, and dynamically adjusts the signal threshold for protocol recognition according to the anti-interference level. The switching module controls the fast charging mobile power supply to cyclically switch and connect to test devices such as PD chargers, QC chargers, and private fast charging protocol chargers based on the adjusted signal threshold (the switching connection is realized by a manipulator, for example). After each switching connection and charging, the data acquisition module acquires parameter information such as charging voltage, charging current, and protocol recognition status. The evaluation module generates a charging performance evaluation report of the fast charging mobile power supply under different charging environments and different protocols according to the acquired data information. Through this embodiment, the stability of the fast charging mobile power supply in a complex electromagnetic environment can be accurately evaluated, and the evaluation results can be used to guide enterprises to develop higher-performance fast charging mobile power supplies or serve as reliable stability test data.

[0033] In some embodiments, the step of dynamically adjusting the signal threshold for fast charging protocol recognition according to real-time electromagnetic interference characteristic data to obtain the adjusted signal threshold includes: By analyzing the signal characteristics of PD, QC, and private fast charging protocols, extracting the protocol signal frequency and signal intensity range, and constructing a protocol characteristic database containing protocol type, signal frequency range, and signal intensity threshold range according to the extracted information; According to the real-time electromagnetic interference characteristic data, analyzing the interference intensity within the signal frequency range of each protocol, and combining with the signal intensity threshold range in the protocol characteristic database, calculating the signal-to-noise ratio of each protocol, and finally determining the anti-interference level of each protocol according to the signal-to-noise ratio; among them, the lower the signal-to-noise ratio, the higher the anti-interference level; For fast charging protocols with different anti-interference levels, in the order of increasing anti-interference level, adopting a hierarchical adjustment strategy, according to the formula Adjust the signal threshold for fast charging protocol recognition to obtain the adjusted signal threshold; where is the signal threshold adjustment amount, k is a preset adjustment coefficient, D is the anti-interference level, and I is the current protocol signal intensity; among them, the higher the anti-interference level of the protocol, the greater the adjustment amplitude of its signal threshold.

[0034] The protocol feature database is constructed by pre - analyzing the standard documents and actual signal waveforms of PD, QC, and private fast - charging protocols, and extracting the signal frequency range and signal intensity range during the communication process of these protocols. The signal intensity threshold range can be determined according to experimental tests and protocol specifications. For example, the signal frequency range of the PD protocol can be set to 10kHz - 100kHz, and the signal intensity threshold range can be set to - 60dB to - 40dB. When calculating the signal - to - noise ratio and determining the anti - interference level, the following method can be used. First, when monitoring the electromagnetic spectrum, the average interference intensity within the signal frequency range of each protocol is obtained as the interference signal intensity. The protocol signal intensity can directly use the value of the protocol signal intensity monitored in real - time. The signal - to - noise ratio can be calculated as the ratio of the protocol signal intensity to the interference signal intensity. The classification of the anti - interference level can be preset. For example, when the signal - to - noise ratio is greater than 20dB, the anti - interference level is level 1; when the signal - to - noise ratio is between 10dB and 20dB, the anti - interference level is level 2; when the signal - to - noise ratio is less than 10dB, the anti - interference level is level 3. The higher the anti - interference level, the weaker the anti - interference ability of the protocol, and the larger the amplitude of the signal threshold that needs to be adjusted. The adjustment coefficient k can be calibrated according to the actual test situation. For example, the k value can be set to 0.1 or 0.2. The signal threshold adjustment amount Calculation formula , the higher the anti - interference level D, the larger the signal threshold adjustment amount, and the larger the current protocol signal intensity I, the larger the signal threshold adjustment amount. The hierarchical adjustment strategy is carried out in the order from low to high anti - interference level, that is, first adjust the signal threshold of the protocol with a low anti - interference level, and then adjust the signal threshold of the protocol with a high anti - interference level.

[0035] Specifically, during the stability test of the fast - charging mobile power supply, the monitoring module first monitors the electromagnetic spectrum of the charging interface in real - time to obtain real - time electromagnetic interference characteristic data. After receiving the electromagnetic interference characteristic data, the adjustment module first analyzes the signal characteristics of PD, QC, and private fast - charging protocols, and extracts the signal frequency range and signal intensity threshold range of each protocol from the protocol feature database. Then, the adjustment module analyzes the interference intensity within the signal frequency range of each protocol according to the real - time electromagnetic interference characteristic data, and combines the signal intensity threshold range in the protocol feature database to calculate the signal - to - noise ratio of each protocol. According to the signal - to - noise ratio, the anti - interference level of each protocol is determined. For fast - charging protocols with different anti - interference levels, the adjustment module adopts a hierarchical adjustment strategy in the order from low to high anti - interference level, according to the formula Calculate the signal threshold adjustment amount, and adjust the signal threshold recognized by the fast charging protocol according to the signal threshold adjustment amount to obtain the adjusted signal threshold. The switching module controls the fast charging mobile power supply to cyclically switch and connect to the test devices supporting PD, QC, and private fast charging protocols based on the adjusted signal threshold, and collects relevant parameter information after each protocol switch. The evaluation module obtains the charging performance evaluation results of the fast charging mobile power supply under different charging environments and different protocols according to the collected relevant parameter information. Thus, by dynamically adjusting the signal threshold recognized by the fast charging protocol, the protocol recognition success rate and charging stability of the fast charging mobile power supply in a complex electromagnetic environment can be improved.

[0036] In some specific embodiments, the protocol feature database can be stored in the storage unit of the adjustment module. Each record in the database includes fields such as protocol type, signal frequency range, signal strength threshold range, etc. When calculating the signal-to-noise ratio, a sliding window averaging algorithm can be used. Within a preset time window, for example, 1 second, continuously monitor and record the signal strength and interference strength of each protocol, and then calculate the average value as the protocol signal strength and interference signal strength for the calculation of the signal-to-noise ratio. The anti-interference level can be divided into three levels: level 1, level 2, and level 3, corresponding to a signal-to-noise ratio greater than 20 dB, 10 dB - 20 dB, and less than 10 dB respectively. The adjustment coefficient k can be set to 0.1. For example, for the PD protocol with an anti-interference level of level 3, if the current protocol signal strength is -50 dB, then the signal threshold adjustment amount , that is, the signal threshold of the PD protocol is lowered by 10 dB. Through this dynamic adjustment, the fast charging mobile power supply can still accurately identify the fast charging protocol in an environment with strong electromagnetic interference, ensuring charging stability.

[0037] In some embodiments, the steps of analyzing the interference strength within the signal frequency range of each protocol according to the real-time electromagnetic interference feature data, combining with the signal strength threshold range in the protocol feature database, calculating the signal-to-noise ratio of each protocol, and finally determining the anti-interference level of each protocol according to the signal-to-noise ratio include: Within a preset time window, continuously monitor and record the signal strength of each protocol to obtain the protocol signal strength time series; According to the protocol signal strength time series, calculate the maximum and minimum values of the signal strength of each protocol to obtain the signal strength fluctuation range; According to the real-time electromagnetic interference feature data, analyze the interference strength within the signal frequency range of each protocol, and combine with the signal strength threshold range in the protocol feature database to calculate the instantaneous signal-to-noise ratio of each protocol. At the same time, according to the signal strength fluctuation range, calculate the dynamic signal-to-noise ratio; the dynamic signal-to-noise ratio is equal to the difference range between the instantaneous signal-to-noise ratio and the signal strength fluctuation range; Determine the anti-interference level of each protocol according to the dynamic signal-to-noise ratio; among them, the lower the dynamic signal-to-noise ratio, the higher the anti-interference level.

[0038] The acquisition method of the protocol signal strength time series is that the signal monitoring module continuously collects the signal strength data of PD, QC, and private fast charging protocols within a set time period, such as 1 second, and arranges these data in chronological order to form the protocol signal strength time series. The calculation method of the signal strength fluctuation range is to analyze the data in the protocol signal strength time series to find the maximum and minimum values of the signal strength, which is the signal strength fluctuation range. This range reflects the variation amplitude of the signal strength within the time window. The calculation process of the instantaneous signal-to-noise ratio is to evaluate the current environmental interference intensity based on the real-time electromagnetic interference characteristic data provided by the monitoring module, and refer to the preset signal strength threshold range in the protocol characteristic database. Compare the signal strength threshold with the interference intensity to calculate the instantaneous signal-to-noise ratio. The calculation method of the dynamic signal-to-noise ratio is to further consider the influence of signal strength fluctuation on the basis of the instantaneous signal-to-noise ratio. Subtract the signal strength fluctuation range from the instantaneous signal-to-noise ratio (that is, subtract the maximum and minimum values of the signal strength from the instantaneous signal-to-noise ratio respectively) to obtain the dynamic signal-to-noise ratio. The dynamic signal-to-noise ratio can more comprehensively reflect the signal quality under the combined action of signal fluctuation and environmental interference. The determination method of the anti-interference level is to preset the mapping relationship between the dynamic signal-to-noise ratio and the anti-interference level. For example, it can be set that when the dynamic signal-to-noise ratio is below a certain threshold, the anti-interference level is high, and when the dynamic signal-to-noise ratio is above another threshold, the anti-interference level is low. By comparing the calculated dynamic signal-to-noise ratio with the preset threshold, the anti-interference level of the current fast charging protocol can be determined.

[0039] Specifically, for the stability test method of fast - charging mobile power supplies, in order to more accurately evaluate the anti - interference performance of fast - charging protocols in complex electromagnetic environments, a scheme for determining the anti - interference level based on dynamic signal - to - noise ratio is proposed. First, during the test, the monitoring module continuously monitors the signal strength of each fast - charging protocol. For example, the signal strength data is collected every 0.01 seconds for 1 second, obtaining a protocol signal strength time series containing 100 signal strength sampling points. Then, this time series is analyzed to calculate the maximum and minimum values of the signal strength. Suppose within 1 second, the maximum signal strength of the PD protocol is - 20dB and the minimum is - 30dB, then the signal strength fluctuation range is [-30dB, - 20dB]. At the same time, combining the real - time electromagnetic interference data and the protocol feature database, the instantaneous signal - to - noise ratio of the PD protocol is calculated to be 25dB. After that, by calculating the dynamic signal - to - noise ratio, that is, subtracting the signal strength fluctuation range from the instantaneous signal - to - noise ratio of 25dB, the dynamic signal - to - noise ratio is obtained as [-5dB, 5dB]. Finally, the dynamic signal - to - noise ratio is compared with the preset anti - interference level threshold range. For example, if the preset dynamic signal - to - noise ratio is within [-10dB, 10dB], the anti - interference level is high, then it is determined that the anti - interference level of the PD protocol is high. Thus, an accurate assessment of the anti - interference level is achieved. By introducing the dynamic signal - to - noise ratio, the true anti - interference ability of the fast - charging protocol in a signal - fluctuating and interference environment can be evaluated more precisely, providing a more reliable basis for the subsequent dynamic adjustment of the signal threshold.

[0040] In some specific embodiments, for different fast - charging protocols, different preset time - window lengths can be set. For example, for the QC protocol with relatively fast - changing signals, the time window can be set to 0.5 seconds, while for the relatively stable PD protocol, the time window can be set to 1.5 seconds to adapt to the signal characteristics of different protocols. Further, when calculating the dynamic signal - to - noise ratio, a weighted method can be adopted. For example, the instantaneous signal - to - noise ratio can be weighted and adjusted according to the signal strength fluctuation range. The larger the fluctuation range, the appropriate reduction of the weight of the instantaneous signal - to - noise ratio can be made to more prominently reflect the impact of signal fluctuations on the signal - to - noise ratio. As a preferred embodiment, the anti - interference level can be divided into three levels: high, medium, and low, corresponding to different dynamic signal - to - noise ratio ranges respectively. For example, a dynamic signal - to - noise ratio less than 10dB corresponds to a high anti - interference level, 10dB to 20dB corresponds to a medium anti - interference level, and greater than 20dB corresponds to a low anti - interference level, so as to facilitate the hierarchical adjustment of the signal threshold according to the anti - interference level.

[0041] In certain embodiments, based on the adjusted signal threshold, the steps of controlling the fast - charging mobile power supply to cyclically switch and connect to test devices supporting PD, QC, and proprietary fast - charging protocols, and collecting relevant parameter information each time after the protocol switch include: Record the number of pluggings and unpluggings of the fast-charging mobile power supply when it cyclically switches and connects to the test equipment, and calculate the contact resistance value according to the formula R = a*N + b; where R is the contact resistance value, N is the number of pluggings and unpluggings, a is the resistance growth coefficient, and b is the initial contact resistance value; After each protocol switch, collect the device IDs of each test equipment, and query the pre-established device characteristic database according to the device IDs to obtain the internal resistance of each test equipment; Based on the contact resistance value and the internal resistance of the corresponding test equipment, according to the formula and , correct the collected charging voltage data and charging current data to obtain the corrected charging voltage data and charging current data; where, is the corrected charging voltage data, is the collected charging current data, is the internal resistance of the corresponding test equipment, is the corrected charging current data, is the collected charging voltage data; the relevant parameter information also includes the corrected charging voltage data and charging current data.

[0042] The contact resistance value is calculated by a formula. The resistance growth coefficient and the initial contact resistance value in the formula are preset parameters, and the number of pluggings and unpluggings is recorded by a counter. The device characteristic database is established in advance, and the corresponding relationship between the device ID and the internal resistance of each test equipment is stored in the database. When performing data correction, the product of the collected charging current data and the sum of the contact resistance value and the internal resistance is added to the collected charging voltage data to obtain the corrected charging voltage data. The corrected charging current data is equal to the collected charging current data.

[0043] Specifically, during the stability test of the fast-charging mobile power supply, to more accurately evaluate the charging performance of the fast-charging mobile power supply, the accuracy of data collection needs to be ensured. Since the contact resistance between the test equipment and the fast-charging mobile power supply increases with the number of plugging and unplugging operations, and there are also differences in the internal resistance of different test equipment, the existence of these resistances will affect the measurement accuracy of the charging voltage and charging current. To eliminate the measurement errors caused by the resistance, a data correction method is adopted. First, the system records the number of times of plugging and unplugging between the fast-charging mobile power supply and the test equipment. The number of plugging and unplugging operations is used to calculate the contact resistance value. The calculation formula for the contact resistance value is R = a * N + b, where a represents the resistance growth coefficient, which indicates the increment of the contact resistance caused by each plugging and unplugging operation; b represents the initial contact resistance value, which refers to the contact resistance value in the initial state; N represents the current number of plugging and unplugging operations. The resistance growth coefficient and the initial contact resistance value are pre-determined according to the material characteristics and structure of the connector. After each switching of the test protocol, the system reads the device ID of the currently connected test equipment. The device ID is used as an index to query the pre-established device characteristic database to obtain the internal resistance value of the currently tested device. The device characteristic database contains the device IDs of all test equipment and their corresponding internal resistance values. Subsequently, based on the calculated contact resistance value and the internal resistance value of the device obtained from the database, the original charging voltage data and charging current data collected are corrected using the voltage-current correction formula. The voltage correction formula is , and the current correction formula is . Among them, and represent the original charging voltage data and charging current data collected respectively; R represents the calculated contact resistance value; represents the internal resistance value of the device queried; represents the corrected charging voltage data; represents the corrected charging current data. Through the above correction process, the influence of the contact resistance and the internal resistance of the device on the charging voltage data can be eliminated, and a voltage value closer to the true charging state can be obtained, thereby improving the accuracy of the test data.

[0044] In some specific embodiments, the resistance growth coefficient is set to 0.005 ohms per time, and the initial contact resistance value is set to 0.05 ohms. When the number of plugging and unplugging operations accumulates to 50 times, the contact resistance value R = 0.005 * 50 + 0.05 = 0.3 ohms. The device feature database stores the device IDs of PD protocol test devices, QC protocol test devices, and private fast charging protocol test devices, as well as their corresponding internal resistances. For example, the device ID of the PD protocol test device is "PD_Tester_01", and its internal resistance is 0.2 ohms; the device ID of the QC protocol test device is "QC_Tester_02", and its internal resistance is 0.25 ohms; the device ID of the private fast charging protocol test device is "Private_Tester_03", and its internal resistance is 0.3 ohms. When the system switches to PD protocol testing, the device ID "PD_Tester_01" is read, and the internal resistance of the device R_S = 0.2 ohms is obtained by querying the database. Assuming that the collected charging voltage data V_C is 5 volts and the charging current data I_C is 2 amperes, according to the correction formula, the corrected charging voltage data V_N = 5 + 2 * (0.3 + 0.2) = 6 volts, and the corrected charging current data I_N = 2 amperes. Through data correction, more accurate charging voltage data can be obtained, thereby improving the reliability of the fast charging power bank stability test results.

[0045] In some embodiments, after each protocol switch, the steps of collecting the device IDs of each test device and querying the pre-established device feature database according to the device IDs to obtain the internal resistances of each test device include: Real-time monitor the test environment temperature, and calculate the internal resistance value of the device at the current temperature according to the formula R_S = R_0 * (1 + α * (T - T_0)); where R_0 is the internal resistance value of the device at the reference temperature stored in the device feature database, α is the temperature coefficient of the device internal resistance, T is the current test environment temperature; T_0 is the reference temperature; Judge whether the current temperature exceeds the preset temperature range; If the current temperature exceeds the preset temperature range, issue a temperature anomaly warning and suspend the test. Otherwise, use the calculated internal resistance value of the device as the internal resistance of the current test device for subsequent charging voltage and current data correction.

[0046] The temperature sensor is used to measure the test environment temperature in real time. This sensor can be placed near the test device to accurately reflect the temperature affecting the test equipment. The internal resistance of the device is calculated according to the formula R_S = R_0 * (1 + α * (T - T_0)). In the formula, R_0 is the reference resistance value stored in the device characteristic database, which is obtained at the reference temperature T_0. α is the temperature coefficient of the resistance, which is a material property of the internal components of the test equipment and is also stored in the database. T is the currently measured ambient temperature, T_0 is the reference temperature used when obtaining R_0, and R_S is the internal resistance of the device calculated at the current temperature T. A preset temperature range is set, for example, 20°C to 30°C, and the measured temperature T is compared with this range. If T exceeds the preset range, a warning signal is triggered, such as a visual or audible alarm, and the test is automatically paused to prevent inaccurate results under extreme temperature conditions. If T is within the acceptable range, the calculated R_S is used as the internal resistance of the device for correcting voltage and current data in subsequent stability tests.

[0047] Specifically, the technical solution aims to solve the problem that the change of ambient temperature affects the internal resistance value of the device, resulting in inaccurate data correction. By continuously monitoring the ambient temperature and using the temperature compensation formula, the internal resistance of the device is dynamically adjusted. When the protocol is switched, the system first retrieves the device ID and queries the device characteristic database to obtain the reference internal resistance R_0 and the temperature coefficient α, which are pre-measured at the reference temperature T_0. At the same time, the temperature sensor measures the current ambient temperature T. Then, the system calculates the temperature-compensated internal resistance R_S of the device using the formula. A temperature range check is performed to ensure that the test environment is within acceptable limits. If the temperature is within the range, the calculated R_S is used to correct the measured voltage and current data, thereby improving the accuracy of the stability test results. If the temperature exceeds the range, the test is paused and a warning is issued, ensuring data reliability by preventing testing under extreme temperature conditions. Dynamically adjusting the internal resistance of the device based on real-time temperature significantly improves the accuracy and reliability of the fast-charging mobile power supply stability test.

[0048] In some specific embodiments, a thermistor temperature sensor with an accuracy of ±0.5 °C is integrated into the test system. The preset temperature range is set to 15 °C to 35 °C. The device feature database stores R_0 and α at 25 °C for each test device. For example, for a specific QC charger, R_0 at 25 °C may be 0.1 ohm and α may be 0.004 / °C. If the measured ambient temperature is 30 °C, the system calculates R_S = 0.1 * (1 + 0.004 * (30 - 25)) = 0.102 ohm. Then, this 0.102 ohm value is used for voltage and current data correction. If the temperature reading exceeds 35 °C, a visual alarm on the test system interface is activated, and the automatic test sequence is paused until the temperature returns to an acceptable range.

[0049] Please refer to Figure 2 , Figure 2 Figure 2 is a fast charging mobile power stability test device in some embodiments of the present invention, which is applied to a power test system. The fast charging mobile power stability test device is integrated in a backend control device in the form of a computer program, and includes: A monitoring module 100, configured to monitor the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data; An adjustment module 200, configured to dynamically adjust the signal threshold for fast charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain an adjusted signal threshold; A switching module 300, configured to control the fast charging mobile power to cyclically switch and connect to test devices supporting PD, QC, and proprietary fast charging protocols based on the adjusted signal threshold, and collect relevant parameter information each time the protocol is switched; the relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate, and protocol recognition misjudgment rate; An evaluation module 400, configured to obtain the charging performance evaluation results of the fast charging mobile power under different charging environments and different protocols according to the relevant parameter information.

[0050] In some embodiments, when the adjustment module 200 is used to dynamically adjust the signal threshold for fast charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain an adjusted signal threshold, it performs: By analyzing the signal characteristics of PD, QC, and proprietary fast charging protocols, extracting the protocol signal frequency and signal strength range, and constructing a protocol feature database including protocol type, signal frequency range, and signal strength threshold range according to the extracted information; According to the real-time electromagnetic interference characteristic data, analyze the interference intensity within the signal frequency range of each protocol, and combine with the signal intensity threshold range in the protocol characteristic database to calculate the signal-to-noise ratio of each protocol. Finally, determine the anti-interference level of each protocol according to the signal-to-noise ratio. Among them, the lower the signal-to-noise ratio, the higher the anti-interference level. For fast charging protocols with different anti-interference levels, in the order from low to high anti-interference level, adopt a hierarchical adjustment strategy, and adjust the signal threshold recognized by the fast charging protocol according to the formula ΔT = k * (D - 1) * I to obtain the adjusted signal threshold. Where ΔT is the signal threshold adjustment amount, k is a preset adjustment coefficient, D is the anti-interference level, and I is the current protocol signal intensity. Among them, the higher the anti-interference level of the protocol, the greater the adjustment range of its signal threshold.

[0051] In some embodiments, when the adjustment module 200 is used to analyze the interference intensity within the signal frequency range of each protocol according to the real-time electromagnetic interference characteristic data, combine with the signal intensity threshold range in the protocol characteristic database, calculate the signal-to-noise ratio of each protocol, and finally determine the anti-interference level of each protocol, it performs: Within a preset time window, continuously monitor and record the signal intensity of each protocol to obtain the protocol signal intensity time series. According to the protocol signal intensity time series, calculate the maximum and minimum values of the signal intensity of each protocol to obtain the signal intensity fluctuation range. According to the real-time electromagnetic interference characteristic data, analyze the interference intensity within the signal frequency range of each protocol, combine with the signal intensity threshold range in the protocol characteristic database, calculate the instantaneous signal-to-noise ratio of each protocol, and at the same time, according to the signal intensity fluctuation range, calculate the dynamic signal-to-noise ratio. The dynamic signal-to-noise ratio is equal to the difference range between the instantaneous signal-to-noise ratio and the signal intensity fluctuation range. Determine the anti-interference level of each protocol according to the dynamic signal-to-noise ratio. Among them, the lower the dynamic signal-to-noise ratio, the higher the anti-interference level.

[0052] In some embodiments, when the switching module 300 is used to control the fast charging mobile power supply to cyclically switch and connect to the test devices supporting PD, QC, and private fast charging protocols based on the adjusted signal threshold, and collect relevant parameter information after each protocol switch, it performs: Record the number of pluggings and unplugging of the fast charging mobile power supply when cyclically switching and connecting to the test device, and calculate the contact resistance value according to the formula R = a * N + b. Where R is the contact resistance value, N is the number of pluggings and unplugging, a is the resistance growth coefficient, and b is the initial contact resistance value. After each protocol switch, collect the device ID of each test device, and query the pre-established device characteristic database according to the device ID to obtain the device internal resistance of each test device. Based on the contact resistance value and the internal resistance of the corresponding test device, according to the formulas \(V_N = V_C+I_C\times(R + R_S)\) and \(I_N = I_C\), the collected charging voltage data and charging current data are corrected to obtain the corrected charging voltage data and charging current data; where \(V_N\) is the corrected charging voltage data, \(I_C\) is the collected charging current data, \(R_S\) is the internal resistance of the corresponding test device, \(I_N\) is the corrected charging current data, and \(V_C\) is the collected charging voltage data; the relevant parameter information also includes the corrected charging voltage data and charging current data.

[0053] In some embodiments, the switching module 300 is configured to, after each protocol switch, collect the device ID of each test device, query the pre-established device feature database according to the device ID, and execute when obtaining the internal resistance of each test device: Real-time monitor the test environment temperature, and calculate the internal resistance value of the device at the current temperature according to the formula \(R_S = R_0\times(1+\alpha\times(T - T_0))\); where \(R_0\) is the internal resistance value of the device at the reference temperature stored in the device feature database, \(\alpha\) is the temperature coefficient of the device internal resistance, \(T\) is the current test environment temperature; \(T_0\) is the reference temperature; Judge whether the current temperature exceeds the preset temperature range; If the current temperature exceeds the preset temperature range, a temperature anomaly warning is issued and the test is suspended, otherwise, the calculated internal resistance value of the device is used as the internal resistance of the current test device for subsequent charging voltage and current data correction.

[0054] Please refer to Figure 3 , Figure 3A structural schematic diagram of an electronic device provided by an embodiment of the present invention. The present invention provides an electronic device 13, including: a processor 1301 and a memory 1302. The processor 1301 and the memory 1302 are interconnected and communicate with each other through a communication bus 1303 and / or other forms of connection mechanisms (not marked). The memory 1302 stores computer-readable instructions executable by the processor 1301. When the electronic device runs, the processor 1301 executes the computer-readable instructions to execute the fast-charging mobile power stability test method in any optional implementation manner of the above embodiment to achieve the following functions: monitoring the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data; dynamically adjusting the signal threshold for fast-charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain an adjusted signal threshold; based on the adjusted signal threshold, controlling the fast-charging mobile power to cyclically switch and connect to test devices supporting PD, QC, and private fast-charging protocols, and collecting relevant parameter information each time after the protocol switch; the relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate, and protocol recognition misjudgment rate; obtaining the charging performance evaluation results of the fast-charging mobile power under different charging environments and different protocols according to the relevant parameter information.

[0055] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it executes the fast-charging mobile power stability test method in any optional implementation manner of the above embodiment to achieve the following functions: monitoring the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data; dynamically adjusting the signal threshold for fast-charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain an adjusted signal threshold; based on the adjusted signal threshold, controlling the fast-charging mobile power to cyclically switch and connect to test devices supporting PD, QC, and private fast-charging protocols, and collecting relevant parameter information each time after the protocol switch; the relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate, and protocol recognition misjudgment rate; obtaining the charging performance evaluation results of the fast-charging mobile power under different charging environments and different protocols according to the relevant parameter information.

[0056] Among them, the computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM for short), electrically erasable programmable read-only memory (EEPROM for short), erasable programmable read-only memory (EPROM for short), programmable read-only memory (PROM for short), read-only memory (ROM for short), magnetic memory, flash memory, magnetic disk or optical disk.

[0057] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0058] In addition, the units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0059] Furthermore, in each embodiment of the present invention, the functional modules can be integrated together to form an independent part, or each module can exist alone, or two or more modules can be integrated to form an independent part.

[0060] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0061] The above are only embodiments of the present invention and are not intended to limit the protection scope of the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A fast-charging mobile power stability test method, applied to a power supply test system, characterized in that: The following steps are involved: Monitor the electromagnetic spectrum of the charging interface to obtain real-time electromagnetic interference characteristic data; According to the real-time electromagnetic interference characteristic data, the signal threshold of the fast charging protocol recognition is dynamically adjusted to obtain the adjusted signal threshold; Based on the adjusted signal threshold, control the fast-charging mobile power supply to cyclically switch the connection to the test equipment that supports PD, QC and private fast-charging protocols, and collect relevant parameter information after each protocol switch; The relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate and protocol recognition misjudgment rate; According to the relevant parameter information, the charging performance evaluation results of the fast-charging mobile power supply under different charging environments and different protocols are obtained.

2. The fast-charging mobile power stability testing method according to claim 1, characterized in that: The step of dynamically adjusting the signal threshold for fast charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain the adjusted signal threshold comprises: By analyzing the signal characteristics of PD, QC and private fast charging protocols, the protocol signal frequency and signal strength range are extracted, and a protocol feature database containing protocol type, signal frequency range and signal strength threshold range is constructed based on the extracted information; According to the real-time electromagnetic interference feature data, the interference intensity within the frequency range of each protocol signal is analyzed, and the signal-to-noise ratio of each protocol is calculated in combination with the signal strength threshold range in the protocol feature database, and finally the anti-interference level of each protocol is determined according to the signal-to-noise ratio; wherein the lower the signal-to-noise ratio, the higher the anti-interference level; For fast charging protocols with different anti-interference levels, a hierarchical adjustment strategy is adopted in the order of anti-interference level from low to high, according to the formula The signal threshold for fast charging protocol recognition is adjusted to obtain an adjusted signal threshold; wherein, is the signal threshold adjustment amount, k is the preset adjustment coefficient, D is the anti-interference level, and I is the current protocol signal strength; wherein, the higher the anti-interference level of the protocol, the greater the signal threshold adjustment range.

3. The fast-charging mobile power supply stability testing method according to claim 2, characterized in that: The steps of analyzing the interference intensity within the frequency range of each protocol signal according to the real-time electromagnetic interference feature data, calculating the signal-to-noise ratio of each protocol in combination with the signal strength threshold range in the protocol feature database, and finally determining the anti-interference level of each protocol according to the signal-to-noise ratio include: Within a preset time window, continuously monitor and record the signal strength of each protocol to obtain a protocol signal strength time series; According to the protocol signal strength time series, the maximum and minimum values ​​of the signal strength of each protocol are calculated to obtain the signal strength fluctuation range; According to the real-time electromagnetic interference feature data, the interference intensity within the frequency range of each protocol signal is analyzed, and the instantaneous signal-to-noise ratio of each protocol is calculated in combination with the signal strength threshold range in the protocol feature database. At the same time, the dynamic signal-to-noise ratio is calculated according to the signal strength fluctuation range; the dynamic signal-to-noise ratio is equal to the difference range between the instantaneous signal-to-noise ratio and the signal strength fluctuation range; The anti-interference level of each protocol is determined according to the dynamic signal-to-noise ratio; wherein, the lower the dynamic signal-to-noise ratio, the higher the anti-interference level.

4. The fast-charging mobile power supply stability testing method according to claim 1, characterized in that: Based on the adjusted signal threshold, the steps of controlling the fast-charging mobile power supply to cyclically switch the connection to the test equipment supporting PD, QC and private fast-charging protocols, and collecting relevant parameter information after each protocol switching include: Record the number of plug-in and unplugging times of the fast-charging mobile power supply when switching between connections to the test device, and calculate the contact resistance value according to the formula R=a*N+b; where R is the contact resistance value, N is the number of plug-in and unplugging times, a is the resistance growth coefficient, and b is the initial contact resistance value; After each protocol switch, the device ID of each test device is collected, and the pre-established device feature database is queried according to the device ID to obtain the device internal resistance of each test device; Based on the contact resistance value and the internal resistance of the corresponding test equipment, according to the formula and , the collected charging voltage data and charging current data are corrected to obtain corrected charging voltage data and charging current data; wherein, is the corrected charging voltage data, is the collected charging current data, is the internal resistance of the corresponding test equipment, is the corrected charging current data, The collected charging voltage data; the related parameter information also includes the corrected charging voltage data and charging current data.

5. The fast-charging mobile power stability testing method according to claim 4, characterized in that: After each protocol switching, the device ID of each test device is collected, and a pre-established device feature database is queried according to the device ID to obtain the device internal resistance of each test device. The steps include: Monitor the test environment temperature in real time and calculate the Calculate the internal resistance of the device at the current temperature; where, is the device internal resistance value at the reference temperature stored in the device feature database, is the temperature coefficient of the internal resistance of the device, is the current test environment temperature; is the reference temperature; Determine whether the current temperature exceeds the preset temperature range; If the current temperature exceeds the preset temperature range, a temperature abnormality warning is issued and the test is suspended. Otherwise, the calculated device internal resistance value is used as the device internal resistance of the current test device for subsequent charging voltage and current data correction.

6. A fast-charging mobile power stability test device, applied to a power supply test system, characterized in that: include: A monitoring module is used to monitor the electromagnetic spectrum of the charging interface and obtain real-time electromagnetic interference characteristic data; An adjustment module, used to dynamically adjust the signal threshold of the fast charging protocol recognition according to the real-time electromagnetic interference characteristic data to obtain the adjusted signal threshold; A switching module is used to control the fast-charging mobile power supply to cyclically switch the connection to the test equipment supporting PD, QC and private fast-charging protocols based on the adjusted signal threshold, and collect relevant parameter information after each protocol switching; The relevant parameter information includes charging voltage data, charging voltage fluctuation data, charging current data, charging current fluctuation data, protocol recognition success rate and protocol recognition misjudgment rate; The evaluation module is used to obtain the charging performance evaluation results of the fast-charging mobile power supply under different charging environments and different protocols according to the relevant parameter information.

7. The fast-charging mobile power stability testing device according to claim 6, characterized in that: The adjustment module is used to dynamically adjust the signal threshold of the fast charging protocol recognition according to the real-time electromagnetic interference characteristic data, and executes when the adjusted signal threshold is obtained: By analyzing the signal characteristics of PD, QC and private fast charging protocols, the protocol signal frequency and signal strength range are extracted, and a protocol feature database containing protocol type, signal frequency range and signal strength threshold range is constructed based on the extracted information; According to the real-time electromagnetic interference feature data, the interference intensity within the frequency range of each protocol signal is analyzed, and the signal-to-noise ratio of each protocol is calculated in combination with the signal strength threshold range in the protocol feature database, and finally the anti-interference level of each protocol is determined according to the signal-to-noise ratio; wherein the lower the signal-to-noise ratio, the higher the anti-interference level; For fast charging protocols with different anti-interference levels, a hierarchical adjustment strategy is adopted in the order of anti-interference level from low to high, according to the formula The signal threshold for fast charging protocol recognition is adjusted to obtain an adjusted signal threshold; wherein, is the signal threshold adjustment amount, k is the preset adjustment coefficient, D is the anti-interference level, and I is the current protocol signal strength; wherein, the higher the anti-interference level of the protocol, the greater the signal threshold adjustment range.

8. The fast-charging mobile power stability testing device according to claim 7, characterized in that: The adjustment module is used to analyze the interference intensity within the frequency range of each protocol signal according to the real-time electromagnetic interference feature data, and calculate the signal-to-noise ratio of each protocol in combination with the signal strength threshold range in the protocol feature database, and finally determine the anti-interference level of each protocol according to the signal-to-noise ratio when executing: Within a preset time window, continuously monitor and record the signal strength of each protocol to obtain a protocol signal strength time series; According to the protocol signal strength time series, the maximum and minimum values ​​of the signal strength of each protocol are calculated to obtain the signal strength fluctuation range; According to the real-time electromagnetic interference feature data, the interference intensity within the frequency range of each protocol signal is analyzed, and the instantaneous signal-to-noise ratio of each protocol is calculated in combination with the signal strength threshold range in the protocol feature database. At the same time, the dynamic signal-to-noise ratio is calculated according to the signal strength fluctuation range; the dynamic signal-to-noise ratio is equal to the difference range between the instantaneous signal-to-noise ratio and the signal strength fluctuation range; The anti-interference level of each protocol is determined according to the dynamic signal-to-noise ratio; wherein, the lower the dynamic signal-to-noise ratio, the higher the anti-interference level.

9. An electronic device, characterized in that: It includes a processor and a memory, wherein the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the steps in the fast-charging mobile power supply stability testing method as described in any one of claims 1 to 5 are executed.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps in the fast-charging mobile power supply stability testing method as described in any one of claims 1 to 5 are executed.

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