Charging detection method and system for mobile phone charger

Abstract

The invention relates to the technical field of mobile phone charging, and discloses a mobile phone charger charging detection method and system, and the method comprises the steps: injecting an AC test signal with a preset frequency range into an electric energy transmission path, and measuring the voltage response and current response of a key point to the AC test signal; electrical characteristic parameters of an electric energy transmission path under multiple frequencies can be obtained. By comparing the electrical characteristic parameters measured in real time with the reference electrical characteristic parameters in the preset state, the deviation condition of the electric energy transmission path can be accurately identified, and the electrical characteristic abnormity of each link is further judged. On the basis, the method can quantify the influence proportion of each link on the reduction of the electric energy supplement efficiency according to the abnormal degree of the electrical characteristics, thereby achieving the refined recognition of a fault source. According to the quantitative influence proportion, the electric energy supplement strategy can be intelligently adjusted, and the charging process is optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mobile phone charging, and in particular to a mobile phone charger charging detection method and system. BACKGROUND

[0002] In daily life, the replenishment of smart phone's power is a frequent and important operation. In order to ensure that the charging is both efficient and safe, the charging management system inside the phone is carefully designed, which will communicate with the charger, understand the ability of the charger, and continuously monitor the key information such as the voltage, capacity, internal resistance and temperature of the battery. According to these real-time data, the system will intelligently adjust the current and voltage of the charging to optimize the entire charging process. For example, when the battery capacity is low, the system will use a larger current to charge quickly; as the capacity gradually fills up, the current will gradually decrease to protect the battery and prevent overheating. In ideal conditions, such as using a brand new, compatible charger and cable, and the battery itself is in good condition, this charging process can usually be completed smoothly and efficiently.

[0003] However, the use environment in the real world is much more complex than these ideal conditions, and a series of seemingly small but mutually influencing factors will bring great challenges to the existing charging detection system. The existing mobile phone charging detection and control method mainly focuses on monitoring the internal state of the battery itself such as voltage, current, temperature, etc., and negotiating with the charger to adjust the charging parameters. However, in actual use, when the charging system faces multiple, non-obvious fault sources superimposed, its diagnostic ability is seriously insufficient. Specifically, when the battery's internal resistance increases due to aging, the charger's resistance increases due to wear and tear, there are weak fluctuations in the external power supply, and the charger itself has a slight, non-fatal fault (such as increased output ripple or response delay), these factors will work together to cause a significant decrease in charging efficiency, a significant extension of charging time, and even in the case of a normal charging icon, the battery capacity hardly increases or slowly decreases. The existing system can detect that the charging current or voltage deviates from the expected value, or the battery temperature abnormally rises, but it cannot effectively distinguish whether these abnormalities are caused by high battery internal resistance, charger wear, unstable external power supply input, or charger internal fault. This lack of ability to identify fine fault sources causes the system to only adopt a one-size-fits-all conservative strategy, such as reducing the charging current or frequently restarting the charging process, thereby sacrificing charging efficiency and user experience, without providing targeted fault diagnosis information or optimization suggestions.

[0004] In view of the above problems, the existing technology needs to be improved. SUMMARY

[0005] The application provides a mobile phone charger charging detection method and system, aiming to solve the problem that the existing mobile phone charging detection system cannot finely identify the fault source when facing multiple and non-obvious fault sources, resulting in reduced charging efficiency and poor user experience.

[0006] The technical solution of the application is as follows: In a first aspect, the application discloses a mobile phone charger charging detection method, comprising: Injecting an alternating test signal with a preset frequency range into the electric energy transmission path; Measuring the voltage response and current response of the alternating test signal at the key points on the electric energy transmission path; According to the voltage response and current response, calculating the electrical characteristic parameters of the electric energy transmission path at multiple frequencies; Storing the reference electrical characteristic parameters of each link of the electric energy transmission path in the preset state; Comparing the electrical characteristic parameters with the reference electrical characteristic parameters to identify the deviation of the electric energy transmission path; According to the deviation, judging the electrical characteristic abnormality of each link on the electric energy transmission path; According to the degree of electrical characteristic abnormality, quantifying the influence proportion of each link on the electric energy supplement efficiency reduction; According to the influence proportion, adjusting the electric energy supplement strategy; Providing the user with diagnostic information and operation suggestions of the electric energy transmission path.

[0007] Through the technical solution, the electrical characteristic parameters of the electric energy transmission path can be calculated by injecting an alternating test signal and measuring the response, and compared with the reference parameters to identify the deviation of the electric energy transmission path and the electrical characteristic abnormality of each link, and then the influence proportion of each link on the electric energy supplement efficiency reduction is quantified, and the electric energy supplement strategy is adjusted accordingly, and finally the diagnostic information and operation suggestions are provided to the user, effectively solving the problem that the existing technology cannot finely identify multiple fault sources, improving the charging efficiency and user experience.

[0008] Further, in the above method, according to the degree of electrical characteristic abnormality, the influence proportion of each link on the electric energy supplement efficiency reduction is quantified, comprising: Based on the equivalent circuit model of the electric energy transmission path, simulating the electrical characteristic of the electric energy transmission path; According to the deviation, adjusting the parameters corresponding to each link in the equivalent circuit model; According to the equivalent circuit model, identifying the independent contribution of each link to the electric energy supplement efficiency reduction; and According to the independent contribution, quantifying the influence proportion of each link on the electric energy supplement efficiency reduction.

[0009] By the technical scheme, the power transmission path can be simulated by using the equivalent circuit model, and the model parameters are adjusted according to the deviation, so as to identify the independent contribution of each link to the decrease of the power supply efficiency, realize more accurate quantification, and further improve the accuracy of fault diagnosis.

[0010] On the basis, the application further provides that the reference electrical characteristic parameters of each link of the power transmission path in the preset state are stored, including: evaluate the health state of the power transmission path; determine the difference between the electrical characteristic parameters of the power transmission path and the reference electrical characteristic parameters; when the difference is within the preset allowable range, adjusting the reference electrical characteristic parameters according to the electrical characteristic parameters of the power transmission path; record the update information of the reference electrical characteristic parameters.

[0011] By the technical scheme, the health state of the power transmission path can be dynamically evaluated, and the reference parameters can be adjusted and updated within the preset allowable range according to the difference between the actual electrical characteristic parameters and the reference parameters, so that the reference parameters are closer to the actual use, and the accuracy and adaptability of detection are improved.

[0012] Further, the power supply strategy is adjusted according to the influence ratio, including: identify the strategy combination in the power supply strategy corresponding to the multiple abnormal links in the power transmission path; determine the dominant strategy in the strategy combination according to the preset priority rule; within the output range allowed by the power supply device, adjust the power supply current, the power supply voltage and the power supply mode according to the dominant strategy and the influence ratio; output the power supply strategy.

[0013] By the technical scheme, the strategy combination can be identified according to multiple abnormal links, the dominant strategy can be determined according to the priority rule, and then the power supply current, voltage and mode can be adjusted within the allowed range according to the dominant strategy and the influence ratio, so that more intelligent and more refined power supply strategy adjustment is realized, and the charging process is effectively optimized.

[0014] In some preferred embodiments, diagnostic information and operation suggestions of the power transmission path are provided to the user, including: sort the diagnostic information and operation suggestions according to the influence ratio; on the display interface of the handheld terminal, the diagnostic information and operation suggestions corresponding to the abnormal link with the largest influence ratio are preferentially displayed; the operation suggestions are displayed in association with the diagnostic information, and a link is sent for each operation suggestion to guide the user to perform the operation; After the user performs the operation suggestion, the mobile phone charger charging detection is re-performed, and the diagnosis information and the operation suggestion are updated according to the latest detection result; When the diagnosis information is displayed, a summary diagnosis conclusion is presented in a hierarchical display manner, and when the user selects to view details, the electrical characteristic abnormal data and analysis results are displayed.

[0015] Through the technical solution, the diagnosis information and the operation suggestion can be sorted according to the influence proportion, the most influential abnormal link is preferentially displayed on the handheld terminal, and associated display and operation links are provided, and after the user performs the operation, re-detection and updating are performed, and the diagnosis conclusion is displayed in a hierarchical manner, which greatly improves the efficiency of the user obtaining the diagnosis information and the convenience of the operation, and improves the user experience.

[0016] Preferably, on the display interface of the handheld terminal, the diagnosis information and the operation suggestion corresponding to the abnormal link with the largest influence proportion are preferentially displayed, including: When the handheld terminal is in a call state, the diagnosis information and the operation suggestion are notified in the form of vibration or low-volume prompt sound, and after the call ends, the diagnosis information and the operation suggestion are automatically presented on the display interface; When the handheld terminal is in a game or video playing state, the diagnosis information and the operation suggestion are superimposed on the display interface in the form of a semi-transparent floating window, and the position and size of the semi-transparent floating window are automatically adjusted; When the user is performing a text input operation, the diagnosis information and the operation suggestion are prompted in the form of a notification bar message, and after the user completes the text input, the diagnosis information and the operation suggestion are automatically displayed; When the handheld terminal is in a low power state, the diagnosis information and the operation suggestion are forcibly displayed in the form of a full-screen pop-up window; When the handheld terminal is in a charging state, the diagnosis information and the operation suggestion are displayed in the form of a charging animation or a screen saver, and when the user unlocks the screen, the detailed display interface is automatically switched to.

[0017] Through the technical solution, various notification and display methods can be adopted according to different running states of the handheld terminal, to ensure that the diagnosis information and the operation suggestion can be timely and effectively conveyed to the user without interfering with the normal use of the user, and the intelligence and humanization of the user experience are significantly improved.

[0018] On the basis of the above, the present application further proposes that when the diagnosis information is displayed, a summary diagnosis conclusion is presented in a hierarchical display manner, and when the user selects to view details, the electrical characteristic abnormal data and analysis results are displayed, including: Identify the key abnormal link in the summary diagnosis conclusion; According to the key abnormal link, the electrical characteristic parameters of the key abnormal link and the deviation thereof are extracted and highlighted from the abnormal electrical characteristic data and the analysis results; An explanatory text is generated, which includes the electrical characteristic parameter deviation of the key abnormal link leading to the summary diagnosis conclusion.

[0019] Through the technical solution, the electrical characteristic parameters related to the key abnormal link and the deviation thereof can be extracted and highlighted from the massive data through hierarchical display and identification of the key abnormal link, and an explanatory text is generated, so that the user can quickly understand the diagnosis conclusion and deeply understand the abnormal reason, and the readability and understandability of the diagnosis information are improved.

[0020] More specifically, in some embodiments, after the user performs the operation suggestion, the mobile phone charger charging detection is re-performed, and the diagnosis information and the operation suggestion are updated according to the latest detection results, including: starting an operation effect evaluation period; continuously monitoring the electrical characteristic parameters of the power transmission path during the operation effect evaluation period; comparing the electrical characteristic parameters with the electrical characteristic parameters of the power transmission path before the operation suggestion is performed; judging whether the operation effect reaches the preset improvement target according to the comparison result; when the operation effect does not reach the preset improvement target, adjusting the operation suggestion according to the type of the operation suggestion and the deviation of the electrical characteristic parameters; updating the diagnosis information according to the adjusted operation suggestion.

[0021] Through the technical solution, the electrical characteristic parameters can be continuously monitored during the operation effect evaluation period, and the data before the operation suggestion is performed is compared, so as to judge whether the operation effect reaches the improvement target, and the operation suggestion is adjusted when the target is not reached, thereby realizing closed-loop management and continuous optimization of the operation suggestion of the user, and ensuring the effectiveness of the diagnosis and suggestion.

[0022] Preferably, during the operation effect evaluation period, the electrical characteristic parameters of the power transmission path are continuously monitored, including: identifying the running state of the handheld terminal; when the handheld terminal is in a low-power mode or a non-charging state, intermittent monitoring is started, and the sampling accuracy of the related sensor is temporarily improved before each monitoring; when the handheld terminal is in a charging state, the electrical characteristic parameters of the power transmission path are continuously monitored at a high frequency; during the monitoring process, the voltage and current data of the key points on the power transmission path are collected, and combined with time series analysis, abnormal data points caused by transient or intermittent interference are identified and filtered out; Monitor the temperature and state of charge of the electrical energy storage unit, and calibrate the monitored electrical characteristic parameters according to the temperature and state of charge of the electrical energy storage unit; dynamically adjust the monitoring strategy of the electrical characteristic parameters according to the operation suggestion type.

[0023] Through the technical solution, the monitoring strategy can be dynamically adjusted according to the running state of the handheld terminal, appropriate monitoring frequency and accuracy are adopted in different scenarios, interference is filtered out combined with time series analysis, calibration is performed considering the temperature and state of charge of the electrical energy storage unit, and the monitoring strategy is dynamically adjusted according to the operation suggestion type, thereby ensuring the accuracy and reliability of the monitoring data and providing a solid foundation for subsequent diagnosis and suggestions.

[0024] In a second aspect, the application also discloses a mobile phone charger charging detection system, comprising: An input end is configured to inject an alternating test signal with a preset frequency range into the electrical energy transmission path; and the voltage response and current response of the alternating test signal at key points on the electrical energy transmission path are measured; A calculation end is configured to calculate electrical characteristic parameters of the electrical energy transmission path at multiple frequencies according to the voltage response and current response; store reference electrical characteristic parameters of each link of the electrical energy transmission path in a preset state; and compare the electrical characteristic parameters with the reference electrical characteristic parameters to identify the deviation of the electrical energy transmission path; An adjustment end is configured to judge electrical characteristic abnormalities of each link on the electrical energy transmission path according to the deviation; quantify the influence proportion of each link on the electrical energy supplement efficiency reduction according to the degree of electrical characteristic abnormalities; adjust the electrical energy supplement strategy according to the influence proportion; and provide diagnosis information and operation suggestions of the electrical energy transmission path to the user.

[0025] Through the coordinated work of the input end, the calculation end and the adjustment end, the technical solution can realize comprehensive detection, fault identification, influence quantification, strategy adjustment and information feedback of the electrical energy transmission path, and provides a complete mobile phone charger charging detection solution, effectively solving the problem of insufficient systematic diagnosis capability in the prior art. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 is a mobile phone charger charging detection method flowchart provided by an embodiment of the application; Figure 2 is a method flowchart for quantifying the influence of each link on the electrical energy supplement efficiency reduction provided by an embodiment of the application; Figure 3 is a structural schematic diagram of a mobile phone charger charging detection system provided by an embodiment of the application. DETAILED DESCRIPTION

[0027] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0028] With reference to Figure 1 , Figure 1 is a flow chart of a mobile phone charger charging detection method provided by an embodiment of the present application, comprising the following steps: S1, injecting an alternating test signal with a preset frequency range into an electric energy transmission path; S2, measuring the voltage response and current response of the alternating test signal at key points on the electric energy transmission path; S3, calculating the electrical characteristic parameters of the electric energy transmission path at multiple frequencies according to the voltage response and current response; S4, storing the reference electrical characteristic parameters of each link of the electric energy transmission path in a preset state; S5, comparing the electrical characteristic parameters with the reference electrical characteristic parameters to identify the deviation of the electric energy transmission path; S6, judging the electrical characteristic abnormality of each link on the electric energy transmission path according to the deviation; S7, quantifying the influence proportion of each link on the electric energy supplement efficiency reduction according to the electrical characteristic abnormality degree; S8, adjusting the electric energy supplement strategy according to the influence proportion; S9, providing the user with diagnosis information and operation suggestions of the electric energy transmission path.

[0029] The present application introduces a series of innovative steps such as alternating test signal injection, multi-frequency electrical characteristic parameter calculation, reference parameter comparison, abnormality quantification and strategy adjustment, aiming to realize fine fault diagnosis and optimization of each link of the electric energy transmission path, thereby effectively improving the charging efficiency and user experience.

[0030] The "electric energy transmission path" mentioned in the present application refers to the entire electric energy transmission link from the power socket to the charger, which usually includes multiple links such as the charger, the charger, the mobile phone charging interface, the mobile phone internal charging management module and the battery itself. Each link has specific electrical characteristics, such as resistance, inductance, capacitance, etc. These electrical characteristic parameters have preset reference values in ideal state, but in actual use, due to factors such as aging, wear and tear, environmental changes, these parameters may deviate, thereby affecting the electric energy transmission efficiency.

[0031] Specifically, the mobile phone charger charging detection method of the present application can be implemented as follows: First, an AC test signal with a preset frequency range is injected into the power transmission path. The AC test signal can be generated by a dedicated signal generator and injected into the power transmission path through the charging interface of the charger or the mobile phone. The selection of the preset frequency range can cover the characteristic frequencies of each link in the power transmission path, so as to more comprehensively evaluate the electrical characteristics thereof. For example, a sweep signal can be injected, which continuously varies from tens of hertz to several megahertz. As another implementation, a plurality of fixed-frequency AC test signals, such as 1 Hz, 1 kHz, 10 kHz, kHz, etc., can also be injected to simplify the complexity of signal injection and measurement equipment.

[0032] Second, the voltage response and current response of the AC test signal at key points on the power transmission path are measured. The key points can include the charger output end, the charger two ends, the mobile phone charging interface, and the battery input end, etc. The voltage response and current response can be collected in real time by high-precision voltmeters and ammeters. For example, voltage sensors and current sensors can be respectively arranged at the charger output end and the mobile phone charging interface to obtain the voltage and current data of the two key points. As an alternative, the voltage and current response of the key points inside the mobile phone can also be measured by an analog-to-digital converter (ADC) integrated in the mobile phone's internal charging management chip.

[0033] Next, according to the voltage response and current response, the electrical characteristic parameters of the power transmission path at multiple frequencies are calculated. These electrical characteristic parameters can include impedance, phase angle, conductance, susceptance, etc. For example, the impedance values at different frequencies can be calculated according to the measured voltage response and current response by Ohm's law and the calculation method of complex impedance. As a preferred implementation, the Fourier transform can be used to convert the time-domain voltage and current response into frequency-domain data, so as to more accurately calculate the electrical characteristic parameters at multiple frequencies.

[0034] Then, the reference electrical characteristic parameters of each link of the power transmission path in the preset state are stored. These reference parameters are obtained by experimental measurement or theoretical calculation when the power transmission path is in a healthy, normal working state. For example, the impedance, capacitance, inductance, etc. of a brand-new charger, a brand-new charger, and a healthy battery can be pre-stored. These reference parameters can be stored in the non-volatile memory of the mobile phone, or on a cloud server for remote access and updating.

[0035] Subsequently, the electrical characteristic parameters are compared with the reference electrical characteristic parameters to identify the deviation of the power transmission path. By comparing the real-time calculated electrical characteristic parameters with the stored reference parameters, it can be found whether there is a significant difference. For example, the percentage deviation of the real-time impedance at each frequency from the reference impedance can be calculated. When the deviation exceeds a preset threshold, it is considered that there is a deviation.

[0036] Further, according to the deviation, the electrical characteristic abnormality of each link in the power transmission path is judged. For example, if the impedance of the charger is significantly higher than the baseline value at a certain frequency, it can be judged that the charger has an abnormality. Such a judgment can be achieved by a pre-set rule base or a machine learning model. For example, a classifier can be trained to automatically identify abnormal links according to the deviation mode of electrical characteristic parameters of different links.

[0037] Thus, according to the degree of electrical characteristic abnormality, the proportion of the influence of each link on the decrease of power supplement efficiency is quantified. For example, if the increase of the impedance of the charger leads to a 10% increase of power loss, and the increase of the internal resistance of the battery leads to a 5% increase of power loss, the proportion of the influence of the charger on the decrease of efficiency can be quantified as 2 / 3, and the proportion of the influence of the battery on the decrease of efficiency can be quantified as 1 / 3. Such quantification can be achieved by establishing an equivalent circuit model of the power transmission path and combining simulation analysis.

[0038] Then, according to the influence proportion, the power supplement strategy is adjusted. For example, if it is detected that the charger has a serious loss, leading to a significant decrease of charging efficiency, the system can suggest the user to replace the charger, or appropriately increase the charging voltage before replacement to compensate for the cable loss, so as to maintain a certain charging efficiency. As an implementation manner, the charging current, the charging voltage or the charging mode (such as switching from fast charging mode to slow charging mode) can be dynamically adjusted according to the influence proportion.

[0039] Finally, the user is provided with the diagnosis information and operation suggestions of the power transmission path. The diagnosis information can include which link has an abnormality, the specific type and degree of the abnormality, etc. The operation suggestions can include replacing the charger, cleaning the charging interface, checking the charger, etc. For example, a prompt information of "the charger is aging, it is suggested to replace" can be displayed on the screen of the mobile phone, and a link for purchasing a new cable can be provided.

[0040] The mobile phone charger charging detection method of the present application can obtain the electrical characteristic parameters of the power transmission path at multiple frequencies by injecting an alternating test signal into the power transmission path and measuring the response thereof. By comparing these parameters with the pre-set baseline parameters, the deviation of each link in the power transmission path can be identified, and the specific electrical characteristic abnormality can be further judged. More importantly, the present application can quantify the influence proportion of each abnormal link on the decrease of power supplement efficiency, and adjust the power supplement strategy accordingly, and provide the user with refined diagnosis information and operation suggestions.

[0041] Compared with the prior art mainly relying on the method of monitoring the internal state of the battery and the charging protocol negotiation, the scheme of the present application has significant advantages. When facing multiple, non-obvious fault sources, the existing method often cannot effectively distinguish the fault sources and can only adopt a conservative "one-size-fits-all" strategy, resulting in reduced charging efficiency and poor user experience. However, through multi-frequency, multi-link electrical property analysis of the entire electric energy transmission path, the present application can achieve fine identification and quantification of the fault source. For example, when the charging efficiency decreases, the present application can clearly indicate whether the problem is with the charger, the cable, or the battery itself, and quantify the respective impact degree. This fine diagnostic capability enables the system to adopt more targeted optimization strategies, for example, if it is found that the problem is caused by the aging of the charger, the system can suggest that the user replace the cable instead of simply reducing the charging current. In addition, the present application can dynamically adjust the electric energy supplement strategy according to the abnormality degree and the impact proportion, thereby maximizing the charging efficiency while ensuring safety. By providing clear diagnostic information and actionable recommendations to the user, the present application significantly improves the user experience and solves the pain points of the prior art, such as insufficient diagnostic capability and inability to provide targeted solutions.

[0042] In some embodiments of the present application described above, the influence proportion of each link on the decrease in electric energy supplement efficiency is quantified according to the abnormality degree of electrical properties. However, in the implementation process, quantification based solely on the abnormality degree may not accurately identify the independent contribution of each link in the electric energy transmission path to the decrease in electric energy supplement efficiency, especially when multiple links have abnormalities at the same time, which may lead to inaccurate judgment of the impact source and thus affect the pertinence and effectiveness of the electric energy supplement strategy adjustment.

[0043] To this end, with reference to Figure 2 , Figure 2 is a method flowchart provided by an embodiment of the present application for quantifying the influence of each link on the decrease in electric energy supplement efficiency, S7 includes: S71, simulating the electrical properties of the electric energy transmission path based on an equivalent circuit model of the electric energy transmission path; S72, adjusting the parameters corresponding to the links in the equivalent circuit model according to the deviation; S73, identifying the independent contribution of the links to the decrease in electric energy supplement efficiency according to the equivalent circuit model, and quantifying the influence proportion of the links on the decrease in electric energy supplement efficiency according to the independent contribution.

[0044] Specifically, "simulating electrical characteristics of the power transfer path based on an equivalent circuit model of the power transfer path" refers to constructing a mathematical or physical model that can reflect the electrical behavior of the actual power transfer path (e.g., the entire link from the charger to the charger, including the internal circuit of the charger, the charger, the mobile phone charging interface, the internal power management module of the mobile phone, etc.). The equivalent circuit model can be composed of basic circuit elements such as resistors, capacitors, inductors, etc., for simulating the impedance, loss, power transfer efficiency, etc. of the power transfer path at different frequencies. The purpose is to provide a quantitative analysis framework to deeply understand the complex electrical behavior of the power transfer path. In practical applications, the equivalent circuit model can be a lumped parameter model or a distributed parameter model, depending on the required accuracy and computational complexity.

[0045] Wherein, "adjusting the parameters corresponding to the links in the equivalent circuit model according to the deviation situation" can be understood as mapping the deviation information to the corresponding parameters in the equivalent circuit model after identifying the deviation situation of the power transfer path. For example, if it is detected that the resistance of the charger abnormally increases, the resistance parameter representing the charger in the equivalent circuit model is adjusted. The purpose is to make the equivalent circuit model accurately reflect the actual abnormal state of the current power transfer path, and provide accurate input for subsequent independent contribution identification. Specifically, parameter adjustment can be achieved through optimization algorithms such as least squares method, so that the simulation results of the model are as consistent as possible with the actual measured voltage response and current response.

[0046] Further, "identifying the independent contribution of each link to the efficiency drop of the power supplement according to the equivalent circuit model" refers to using the adjusted equivalent circuit model to analyze the energy loss or efficiency drop caused by each link (e.g., charger, cable, interface, power management module, etc.) in the power transfer process through simulation or calculation. The identification of independent contribution means that the influence of different links on the total efficiency drop can be distinguished, avoiding attributing the problem of one link to another. The purpose is to accurately find out the main reason for the efficiency drop and provide a basis for targeted strategy adjustment. For example, the independent contribution can be identified by "disabling" or "restoring" the abnormal parameters of a certain link one by one in the model and observing the impact on the overall efficiency.

[0047] According to the independent contribution, the proportion of the influence of each link on the decrease of the power supply efficiency is quantified, which means that the independent contribution of each identified link is converted into the percentage or weight in the total efficiency decrease. The purpose is to intuitively present the severity of each abnormal link on the decrease of the power supply efficiency, so as to facilitate user understanding and system decision-making. For example, if the independent contribution of the charger leads to 60% of the total efficiency decrease, and the independent contribution of the charging interface leads to 30%, it can be quantified as 60% and 30%.

[0048] The scheme of the present application can abstract the actual physical system into a calculable electrical model by introducing an equivalent circuit model of the power transmission path. When the power transmission path deviates, the deviation information is accurately mapped and adjusted to the parameters corresponding to each link in the equivalent circuit model, so that the model can accurately reflect the real state of the current system. On this basis, the adjusted equivalent circuit model is used for simulation and analysis, which can effectively isolate and identify the independent contribution of each link to the decrease of the power supply efficiency. This model-based analysis method overcomes the limitation that the traditional method may have difficulty in distinguishing multiple abnormal sources, making the diagnosis of the cause of efficiency decrease more refined and accurate. Finally, according to the identified independent contribution, the influence proportion of each link can be quantified, providing a solid data support for subsequent power supply strategy adjustment.

[0049] Through the above technical scheme, the present application can realize more accurate and detailed quantification of the influence proportion of each link in the power transmission path on the decrease of the power supply efficiency. Compared with the rough judgment based on the degree of electrical characteristic abnormality, the present scheme can effectively distinguish and identify the independent contribution of each abnormal link by constructing an equivalent circuit model and adjusting parameters, thereby avoiding the diagnostic ambiguity caused by the interaction of multiple abnormalities. Therefore, the obtained quantification result is more targeted, which can provide a more accurate basis for subsequent power supply strategy adjustment, significantly improving the diagnostic accuracy of the charging detection and the effectiveness of the strategy adjustment.

[0050] In some preferred embodiments, the following is described by a specific example. Assuming that the charging detection system of a mobile phone charger detects that the charging efficiency of a certain mobile phone has decreased significantly. First, the system injects an alternating test signal with a preset frequency range into the power transmission path, and measures the voltage response and current response of the key points. According to these responses, the electrical characteristic parameters of the power transmission path at multiple frequencies are calculated. By comparing with the preset reference electrical characteristic parameters, the system identifies that the power transmission path deviates, for example, the resistance value of the charger is too high, and the contact resistance of the mobile phone charging interface also increases slightly.

[0051] To accurately quantify the proportion of the impact of these two abnormal links on the charging efficiency decline, the system will simulate based on the preset equivalent circuit model of the power transmission path. This model may include resistance, inductance and capacitance elements representing the charger, charger, charging interface and phone power management module. According to the detected deviation, the system will adjust the resistance parameter corresponding to the charger in the equivalent circuit model (for example, from 0.1 ohm to 0.5 ohm), and adjust the contact resistance parameter corresponding to the charging interface (for example, from 0.05 ohm to 0.15 ohm).

[0052] Subsequently, the system simulates using the adjusted equivalent circuit model. By simulating the impact of changes in different link parameters on overall power loss, the system can identify the independent contribution of charger resistance increase to the decline in power supply efficiency, and the independent contribution of charging interface contact resistance increase to the decline in power supply efficiency. For example, the simulation results may show that the abnormality of the charger caused 70% of the total efficiency decline, and the abnormality of the charging interface caused 25% of the total efficiency decline. Based on these independent contributions, the system finally quantifies the proportion of the impact of the charger on the efficiency decline as 70%, and the charging interface as 25%. These accurate quantification results will guide the system to adjust the power supply strategy, such as recommending the user to replace the charger and clean the charging interface, so as to more effectively restore the charging efficiency.

[0053] In some embodiments of the above application, the baseline electrical characteristic parameters of each link of the power transmission path in the preset state are stored. However, in actual application, the electrical characteristic parameters of the power transmission path may fluctuate within a normal range or slowly drift over time, environment changes or slight wear. If the baseline electrical characteristic parameters remain fixed, these normal, non-abnormal fluctuations may be misjudged as electrical characteristic abnormalities, resulting in a decrease in the accuracy of the diagnostic results and possibly generating unnecessary alarms or misleading operation recommendations. To this end, the application further proposes a method of dynamically adjusting the baseline electrical characteristic parameters to ensure the real-time and accuracy of the baseline parameters.

[0054] To this end, the application further proposes a step of storing the baseline electrical characteristic parameters of each link of the above-mentioned power transmission path in the preset state, comprising: evaluating the health status of the power transmission path; judging the difference between the electrical characteristic parameters of the power transmission path and the baseline electrical characteristic parameters; when the difference is within a preset allowable range, adjusting the baseline electrical characteristic parameters according to the electrical characteristic parameters of the power transmission path; record the update information of the baseline electrical characteristic parameters.

[0055] Specifically, evaluating the health status of the power transmission path refers to comprehensively analyzing the current monitored electrical characteristic parameters, historical data, usage time, environmental conditions, and other factors to make a preliminary judgment on the overall operation of the power transmission path. The purpose is to distinguish between normal aging, wear and tear, and sudden failure or serious abnormalities. For example, it can be determined whether the current state belongs to the "healthy" or "sub-healthy" category based on a machine learning model or pre-set threshold rules.

[0056] Wherein, judging the difference between the electrical characteristic parameters of the power transmission path and the reference electrical characteristic parameters can be understood as comparing the electrical characteristic parameters of the power transmission path at multiple frequencies currently calculated with the reference electrical characteristic parameters currently stored one by one, and quantifying the deviation degree in numerical value. The purpose is to accurately identify the specific gap between the current state and the ideal reference.

[0057] In actual application, when the above difference is within the pre-set allowable range, adjusting the reference electrical characteristic parameters according to the electrical characteristic parameters of the power transmission path means that if the difference between the current electrical characteristic parameters and the reference parameters is within the acceptable fluctuation range (for example, less than a certain percentage threshold), it is considered that this difference is a normal system evolution, not a failure. At this time, the current electrical characteristic parameters or their weighted average value are updated as the new reference electrical characteristic parameters. For example, sliding average, exponential smoothing and other algorithms can be used to integrate the latest measurement data into the reference parameters, so that they can slowly adapt to the normal changes of the system. The purpose is to make the reference parameters dynamically reflect the actual "health" status of the power transmission path, and avoid misjudgment due to fixed reference.

[0058] In addition, recording the update information of the reference electrical characteristic parameters means storing the adjustment time, numerical value before and after adjustment, adjustment reason (for example, normal drift update) and other information of each reference parameter adjustment. The purpose is to provide historical basis for subsequent system analysis, fault tracing or performance evaluation, and to ensure the traceability of the reference parameter update process.

[0059] The scheme of the present application effectively solves the misjudgment problem that the traditional fixed reference parameter may cause when facing normal fluctuations and slow aging of the system by introducing the evaluation of the health status of the power transmission path and the dynamic adjustment mechanism of the reference electrical characteristic parameter. Specifically, first, by evaluating the health status of the power transmission path, it can be preliminarily judged whether the current system is in the normal operation category, providing the context for the subsequent difference judgment. Secondly, by judging the difference between the current electrical characteristic parameter and the reference electrical characteristic parameter, the deviation between the two can be quantified. More importantly, when this difference is determined to be within the preset allowable range, the system will not immediately regard it as abnormal, but will adjust the reference electrical characteristic parameter according to the current electrical characteristic parameter. This mechanism enables the reference parameter to be moderately and progressively updated as the power transmission path is normally worn, aged, or environmentally changed, thereby ensuring that the reference parameter can always accurately represent the electrical characteristic under the current "healthy" or "normal" state. Finally, by recording the update information of the reference electrical characteristic parameter, the transparency and traceability of the entire adjustment process are guaranteed.

[0060] Through the above technical scheme, the present application can significantly improve the accuracy and robustness of the mobile phone charger charging detection. Since the reference electrical characteristic parameter can dynamically adapt to the normal changes of the power transmission path, false positives or false negatives caused by fixed reference parameters can be effectively avoided, unnecessary diagnostic information and operation suggestions are reduced, and user experience is improved. In addition, by continuously updating and recording the reference parameter, the system can better understand the long-term behavior pattern of the power transmission path, providing a data basis for more refined fault prediction and maintenance, and prolonging the service life of the equipment.

[0061] In some preferred embodiments, the following is illustrated by a specific example. Assume that a mobile phone charger has been used for one year, and the microstructure of its internal conductor has changed slightly, resulting in a slight increase in its equivalent resistance and inductance parameters. If fixed reference electrical characteristic parameters are used, this slight increase can be identified as an anomaly by the system and a warning of "charger performance degradation" can be issued to the user. However, according to the scheme of the present application, upon detecting this slight change in electrical characteristic parameters, the system first evaluates the health status of the power transmission path and determines the difference between the current electrical characteristic parameters and the initial reference electrical characteristic parameters. If the difference is determined to be within a preset allowable range (for example, the resistance increase is less than 5%), the system considers this to be a normal wear and tear or aging phenomenon rather than a fault. At this time, the system will adjust and update the reference electrical characteristic parameters according to the current electrical characteristic parameters, for example, by calculating the average or trend of the electrical characteristic parameters over a period of time in the past. For example, the new reference resistance value will be set to be slightly higher than the old reference value. At the same time, the update time of the reference parameters, the values before and after the update, and the reason for the update (such as "normal aging adaptive adjustment") will be recorded. In this way, the system can avoid misjudging normal system evolution as an anomaly, thereby providing more accurate diagnostic information and reducing interference to the user. When a larger deviation beyond the new reference allowable range occurs in the future, the system can more accurately identify the true abnormal situation.

[0062] In some embodiments of the present application described above, it is proposed to adjust the power supply strategy according to the influence ratio, however, in actual application, when there are multiple electrical characteristic abnormal links on the power transmission path, each link can correspond to different power supply strategies, if only the total influence ratio is simply adjusted, it can cause conflicts between strategies, or cannot effectively solve the most critical problem, thereby affecting charging efficiency and device safety.

[0063] To this end, the present application further proposes the above step of adjusting the power supply strategy according to the influence ratio, specifically comprising: identifying a strategy combination in the power supply strategies corresponding to the multiple abnormal links on the power transmission path; determining a dominant strategy in the strategy combination according to a preset priority rule; adjusting the power supply current, the power supply voltage and the power supply mode according to the dominant strategy and the influence ratio within the output range allowed by the power supply device; outputting the power supply strategy.

[0064] Specifically, identifying a strategy combination of the power supply strategies corresponding to the multiple abnormal links in the power transmission path means that when there are multiple links with abnormal electrical characteristics in the power transmission path, such as chargers, charging heads, mobile phone charging interfaces, or battery management systems, each abnormal link may correspond to one or more recommended power supply strategies. This step aims to collect and integrate all the power supply strategies recommended by these abnormal links to form a strategy combination. For example, charger abnormalities may recommend reducing the charging current, while battery overheating may recommend reducing the charging voltage and switching to trickle charging mode.

[0065] Wherein, determining the dominant strategy in the strategy combination according to the preset priority rule can be understood as a set of pre-defined decision logic for selecting one or several most important or most urgent strategies as the dominant strategy among multiple conflicting or complementary strategies. For example, strategies related to safety issues (such as overheat protection) usually have the highest priority, followed by strategies that have the greatest impact on charging efficiency, and then strategies that extend battery life. The priority rule can be set based on factors such as the severity of abnormal links, the impact on device safety, the degree of impact on charging efficiency, and user preferences.

[0066] In practical applications, within the output range allowed by the power supply device, adjusting the power supply current, power supply voltage, and power supply mode according to the dominant strategy and the impact ratio means that the power supply device (such as a charger) has its inherent output capability limit. This step is to fine-tune the charging current, charging voltage, and charging mode based on the determined dominant strategy and the impact ratio of each abnormal link on the reduction of power supply efficiency without exceeding these limits. For example, if the dominant strategy is to reduce the charging current to protect the battery, and the impact ratio of a certain link is 30%, a suitable reduction can be calculated according to the 30% impact ratio between the minimum current and maximum current allowed by the charger. The power supply mode can include constant current charging, constant voltage charging, trickle charging, fast charging mode, slow charging mode, etc. Outputting the power supply strategy means sending the final power supply strategy determined after the above adjustment to the charging device or battery management system to actually execute the adjustment of charging parameters.

[0067] The scheme of the present application effectively solves the problems of strategy conflict or improper adjustment of the basic scheme when facing complex multi-exception scenarios by introducing strategy combination identification and priority rule determination. Specifically, when there are multiple exception links on the electric energy transmission path, the abnormality degree and the influence proportion of each link on the charging efficiency may be different, and the corresponding electric energy supplement strategies may also differ. By identifying all relevant strategy combinations and applying the preset priority rules, the system can intelligently filter out the dominant strategy that is currently the most critical or needs to be executed first. Then, combined with the influence proportion of each link on the electric energy supplement efficiency, the electric energy supplement current, electric energy supplement voltage and electric energy supplement mode are finely adjusted within the output range allowed by the electric energy supplement device. This mechanism ensures that in the case of multiple exceptions, an optimized charging strategy can be developed that effectively solves the main problem while taking into account other secondary problems and meets the safety and performance requirements of the device, thereby avoiding blind or conflicting adjustments and improving the safety, efficiency and battery life of the charging process.

[0068] Through the above technical scheme, the present application can realize intelligent and fine adjustment of the electric energy supplement strategy. Compared with the basic scheme that only adjusts according to a single influence proportion, the present application can effectively avoid adjustment failure or suboptimal results caused by strategy conflict or unclear priority when facing complex situations with multiple exception links on the electric energy transmission path. By introducing strategy combination identification and priority rules, it is ensured that in the case of multiple exceptions, the most critical problem can be prioritized and the influence of all exceptions can be considered, thereby developing a more targeted and effective electric energy supplement strategy. As a result, not only the safety, stability and efficiency of the charging process are significantly improved, but also the battery is better protected, the device service life is extended, and a more reliable and intelligent charging experience is provided for users.

[0069] As a specific implementation, assume that in a charging detection, the system identifies that the mobile phone charger has slight aging, causing a slight increase in resistance, with an influence proportion of 20% on the electric energy supplement efficiency reduction, and the recommended strategy is to slightly increase the charging voltage to compensate for the voltage drop; at the same time, the charger temperature is too high, with an influence proportion of 40% on the electric energy supplement efficiency reduction, and the recommended strategy is to reduce the charging current and switch to slow charging mode to protect the battery.

[0070] In this case, the system first identifies two strategies: increasing voltage and reducing current / slow charging. According to the preset priority rules, the battery temperature is usually given a higher priority because it is directly related to device safety and battery life. Therefore, the system determines "reducing the charging current and switching to slow charging mode" as the dominant strategy.

[0071] Subsequently, within the output range allowed by the power supply device, the system adjusts the output of the charger according to the main strategy and the influence proportion of 40% of the battery temperature anomaly. For example, the charging current is reduced from 2A to 1.5A, and the charging mode is switched from fast charging to slow charging. At the same time, considering the influence of cable aging, the system may fine-tune the voltage on the basis of reducing the current, but ensure that the overall adjustment still focuses on battery safety. Finally, the system outputs this comprehensive adjusted power supply strategy to the charger for execution, thereby optimizing the charging efficiency as much as possible under the premise of ensuring battery safety.

[0072] In some embodiments of the application described above, the user is provided with diagnostic information and operation suggestions for the power transmission path. However, in the process of implementation, if the presentation of diagnostic information and operation suggestions is not intuitive enough, lacks priority, or fails to effectively guide the user to take action, it may lead to the user's difficulty in understanding the problem and inability to timely and effectively solve the problem of reduced charging efficiency. If the above problems are not solved, the user experience will be affected, and the actual effect of charging detection may be greatly discounted. To this end, the application further proposes a method for optimizing the provision of diagnostic information and operation suggestions for the power transmission path to the user, aiming to significantly improve the user's understanding and solving efficiency of charging problems through structured, prioritized information display and interactive guidance.

[0073] To this end, the application further proposes that the steps of providing diagnostic information and operation suggestions for the power transmission path to the user include: According to the influence proportion, the diagnostic information and the operation suggestions are sorted; On the display interface of the handheld terminal, the diagnostic information and the operation suggestions corresponding to the abnormal link with the largest influence proportion are preferentially displayed; The operation suggestions are displayed in association with the diagnostic information, and a link is sent for each operation suggestion to guide the user to perform the operation; After the user performs the operation suggestion, the handheld charger charging detection is performed again, and the diagnostic information and the operation suggestion are updated according to the latest detection results; When displaying the diagnostic information, a hierarchical display mode is used to present a summary diagnostic conclusion, and when the user selects to view details, the electrical characteristic abnormal data and analysis results are displayed.

[0074] Specifically, the diagnosis information and operation suggestions are sorted according to the influence proportion, which means that all the detected diagnosis information and corresponding operation suggestions are prioritized based on the influence proportion of each link of the power transmission path on the decrease of the power supply efficiency. The influence proportion can be understood as the contribution of a certain abnormal link to the overall decrease of the charging efficiency. The larger the value is, the more serious the problem of the link is, and the greater the impact on the charging efficiency is. Through sorting, the user can first focus on the most critical and urgent problems.

[0075] Further, on the display interface of the handheld terminal, the diagnosis information and operation suggestions corresponding to the abnormal link with the largest influence proportion are displayed preferentially, which aims to focus the user's attention on the most urgent problems. For example, if the charger has the highest influence proportion on the decrease of the charging efficiency, the diagnosis information about the cable and the operation suggestion of replacing the cable will be placed in a prominent position on the display interface.

[0076] In addition, the operation suggestions are displayed in association with the diagnosis information, and a link is sent for each operation suggestion to guide the user to perform the operation, aiming to provide a convenient and intuitive way for the user to directly jump from the diagnosis information to the interface or guidance for performing the operation. For example, for the operation suggestion of "replacing the charger", a link can be provided, which can jump to the e-commerce platform page for purchasing a new cable or display a graphic tutorial for replacing the cable after being clicked.

[0077] In actual application, after the user performs the operation suggestion, the mobile phone charger charging detection is performed again, and the diagnosis information and operation suggestions are updated according to the latest detection results, which aims to form a closed-loop feedback mechanism. Through re-detection, the system can verify the effectiveness of the user's operation, and update the diagnosis results and operation suggestions according to the latest electrical characteristic parameters, to ensure the accuracy and timeliness of the information.

[0078] When displaying the diagnosis information, the summary diagnosis conclusion is presented in a hierarchical display manner, and when the user selects to view the details, the electrical characteristic abnormal data and analysis results are displayed, which can be understood as a progressive information disclosure strategy. First, the user is shown a summary conclusion that is easy to understand, such as "charger aging, charging efficiency decreased", and when the user is interested in specific details, he or she can choose to view deeper electrical characteristic abnormal data (such as impedance, capacitance value deviation) and professional analysis results, to meet the needs of different users.

[0079] The scheme of the present application effectively solves the limitations of traditional charging detection methods in information presentation and user interaction by introducing a sorting, priority display, correlation guidance, feedback update, and hierarchical display mechanism for diagnostic information and operation recommendations. Specifically, by sorting and priority display according to the impact ratio, it can ensure that the user first focuses on the abnormal link that has the greatest impact on charging efficiency, avoiding information overload and decision difficulty. By correlating operation recommendations with diagnostic information and providing an execution link, the path for the user to take action is greatly simplified, improving the convenience and compliance of the operation. In addition, re-detection and update after user operation forms an effective closed loop, so that diagnostic information and operation recommendations can reflect the progress of problem solving in real time and adjust according to actual results, ensuring the dynamic and accuracy of the scheme. Hierarchical display takes into account the needs of different users, providing concise and clear summary conclusions, while allowing professional users to view detailed data in depth, thereby improving the user's understanding and solving efficiency of charging problems.

[0080] Through the above technical scheme, the present application can significantly improve the user's understanding and response efficiency of the charging detection results of the mobile phone charger. The user no longer needs to face cumbersome detection data, but can intuitively understand the most critical charging problems and their impact on efficiency, and obtain clear and actionable solutions. This optimization not only improves the user experience, but also speeds up the diagnosis and solution process of charging problems, effectively avoiding the continuous low charging efficiency caused by poor information transmission or inconvenient operation, thereby ensuring the timely adjustment of power supply strategies and the long-term healthy operation of charging equipment.

[0081] In some preferred embodiments, the following is described by a specific example. Suppose the system detects that the charging efficiency of a mobile phone has decreased significantly, and after electrical characteristic parameter calculation and comparison, it finds that the internal resistance of the charger is abnormally high, and its impact on the decrease of power supply efficiency is 80%, while the output voltage of the charger fluctuates slightly, with an impact ratio of 15%, and the internal resistance of the charger increases slightly, with an impact ratio of 5%.

[0082] At this time, the system will sort the diagnostic information and operation recommendations according to the impact ratio. On the display interface of the handheld terminal, the diagnostic information about the charger will be displayed in a prominent way, such as "charger aging, internal resistance too high, seriously affecting charging speed", with an operation recommendation "suggest replacing the charger immediately". The operation recommendation will provide a clickable link, such as jumping to the compatible cable page recommended by the e-commerce platform.

[0083] When the user clicks the link and replaces the new charger, the system will automatically trigger a re-detection. If the new detection result shows that the charging efficiency has returned to normal and the electrical characteristics of the charger have returned to the baseline range, the system will update the diagnosis information and display "The charger has been repaired, and the charging efficiency has returned to normal."

[0084] When displaying the diagnosis information, the initial interface may only display "Charging efficiency is declining, the main problem is with the charger." When the user clicks "View details," the detailed electrical characteristic abnormal data, such as the specific measurement value of the cable impedance and the deviation percentage from the baseline value, and the corresponding analysis chart, will be displayed. This hierarchical display method allows users to choose the depth of information they want to view according to their needs.

[0085] In some embodiments of the present application described above, the diagnosis information and operation suggestions corresponding to the abnormal link with the largest impact ratio are preferentially displayed on the display interface of the handheld terminal. However, in the implementation process, if only simple priority display is used, it may interfere with important operations (such as calls, games, and text input) by the user, or fail to fully attract the user's attention in certain specific states (such as low power and charging), thereby affecting user experience and the effectiveness of information transmission.

[0086] To address this, the present application further proposes the above-mentioned preferential display of diagnosis information and operation suggestions corresponding to the abnormal link with the largest impact ratio on the display interface of the handheld terminal, including: When the handheld terminal is in a call state, the diagnosis information and operation suggestions are notified in the form of vibration or low-volume prompt sound, and after the call ends, the diagnosis information and operation suggestions are automatically presented on the display interface; When the handheld terminal is in a game or video playback state, the diagnosis information and operation suggestions are superimposed on the display interface in the form of a semi-transparent floating window, and the position and size of the semi-transparent floating window are automatically adjusted; When the user is performing a text input operation, the diagnosis information and operation suggestions are prompted in the form of a notification bar message, and after the user completes the text input, the diagnosis information and operation suggestions are automatically displayed; When the handheld terminal is in a low-power state, the diagnosis information and operation suggestions are displayed in the form of a full-screen pop-up window; When the handheld terminal is in a charging state, the diagnosis information and operation suggestions are displayed in the form of a charging animation or a screen saver, and when the user unlocks the screen, the detailed display interface is automatically switched to.

[0087] Specifically, when the handheld terminal is in a call state, in order to avoid interference with the user's call, the diagnostic information and operation suggestions will not be directly popped up in a visual form on the screen, but will be notified through vibration or low-volume prompt sound. Among them, vibration can be understood as a kind of tactile feedback, which is used to attract the user's attention without interrupting the user's auditory experience; the low-volume prompt sound is a kind of auditory reminder without affecting the call content. After the call ends, the system will automatically present detailed diagnostic information and operation suggestions on the display interface, ensuring that the user can view them when it is convenient.

[0088] When the handheld terminal is in a game or video playing state, in order to not completely interrupt the user's entertainment experience, the diagnostic information and operation suggestions will be superimposed on the display interface in the form of a semi-transparent floating window. Among them, the semi-transparent floating window refers to its background having a certain degree of transparency, so that the user can still see the game or video content below while viewing the diagnostic information. In addition, the position and size of the semi-transparent floating window will be automatically adjusted to minimize the obstruction of the core content area, thereby providing necessary information while minimizing the impact on the user experience.

[0089] When the user is performing a text input operation, the diagnostic information and operation suggestions will be prompted in the form of a notification bar message. The notification bar message is a non-intrusive prompting method that does not forcibly interrupt the user's input process. After the user completes the text input, the system will automatically expand to display detailed diagnostic information and operation suggestions, ensuring that the user can obtain and process relevant information in a timely manner after completing the current task.

[0090] When the handheld terminal is in a low battery state, since the charging efficiency is crucial to the user experience, the diagnostic information and operation suggestions will be displayed in the form of a full-screen pop-up window. The full-screen pop-up window is a strong reminder method, which aims to ensure that the user can immediately notice and take appropriate operation suggestions to avoid device shutdown due to charging problems in the case of low battery.

[0091] When the handheld terminal is in a charging state, the diagnostic information and operation suggestions will be displayed in the form of a charging animation or a screen saver. The charging animation or screen saver is a relatively gentle display method, which integrates diagnostic information into the daily charging interface, making information transmission more natural. When the user unlocks the screen, the system will automatically switch to a detailed display interface, so that the user can deeply understand the diagnostic results and operation suggestions.

[0092] The scheme of the present application effectively solves the problem of single display mode of diagnostic information and operation suggestion in the prior art, which may cause interference to the user or fail to effectively deliver information, by identifying various operating states of the handheld terminal and adopting customized information presentation mode for each state. Specifically, when the user is performing an important operation, a non-intrusive or low-interference prompt mode is adopted to avoid negative impact on the user experience; and in a scenario requiring high attention from the user (e.g., low battery), a forced display mode is adopted to ensure timely delivery of information. Thus, the scheme of the present application can intelligently adjust the information presentation strategy according to the actual use scenario, thereby improving the reception efficiency and compliance of the user to the diagnostic information and operation suggestion.

[0093] Through the above technical scheme, the presentation mode of diagnostic information and operation suggestion can be highly matched with the current operating state of the handheld terminal, significantly improving the fluency of user experience and the effective delivery of information. The user can receive the key charging detection information in the most suitable way in different scenarios, avoiding unnecessary interference, while ensuring the forced delivery of information in emergency situations. This not only improves the user's attention to the charging detection results of the charger, but also prompts them to adopt the operation suggestion more timely, thereby effectively improving the power supply efficiency and prolonging the service life of the device.

[0094] In some preferred embodiments, it is assumed that the handheld terminal is conducting an important video conference. At this time, if the charging detection system detects that the charger has a slight abnormality and calculates that its impact on the power supply efficiency is relatively large, according to the present embodiment, the system will not immediately pop up a full-screen warning, but will notify through the vibration function of the handheld terminal or emit a low-volume prompt tone. After the user ends the conference, the detailed diagnostic information (e.g., "charger impedance is too high, please replace") and operation suggestion (e.g., "click here to purchase the original charger") will be automatically presented on the display interface. This ensures that the user can timely understand the charging problem without being interrupted during the conference, and can handle it at a convenient time.

[0095] For another example, when the handheld terminal has only 5% battery left, the system detects that the charger output voltage is unstable, and the impact on the power supply efficiency reaches 30%. At this time, the system will immediately display the diagnostic information (e.g., "charger output voltage is abnormal, which may damage the battery") and operation suggestion (e.g., "please replace the charger immediately to avoid continued use") in the form of a full-screen pop-up window. This forced display mode ensures that the user can first notice and take action in the case of low battery and potential device damage, thereby avoiding potential device damage and further reduction in power supply efficiency.

[0096] Specifically, in the above-mentioned implementation of providing the user with diagnostic information and operation suggestions of the power transmission path, when displaying the diagnostic information, a summary diagnostic conclusion is presented in a hierarchical display manner, and when the user selects to view details, the electrical characteristic abnormal data and analysis results are displayed in an expanded manner, which specifically includes the following steps: Identifying a key abnormal link in the summary diagnostic conclusion; According to the key abnormal link, extracting and highlighting the electrical characteristic parameters of the key abnormal link and its deviation from the electrical characteristic abnormal data and the analysis results; Generating explanatory text including the electrical characteristic parameter deviation of the key abnormal link leading to the summary diagnostic conclusion.

[0097] Among them, identifying a key abnormal link in the summary diagnostic conclusion means that the system determines the main components or connection points that lead to the decrease in power supply efficiency or the existence of potential risks by analyzing the summary diagnostic conclusion. For example, if the summary diagnostic conclusion indicates that the charger is aging, the charger is identified as the key abnormal link. This step aims to focus on the most core problem of the complex diagnostic results, facilitating user understanding and subsequent operation.

[0098] Further, according to the key abnormal link, extracting and highlighting the electrical characteristic parameters of the key abnormal link and its deviation from the electrical characteristic abnormal data and the analysis results means that when the user selects to view details, the system will filter out the data directly related to the key link from the detailed electrical characteristic abnormal data (such as resistance, capacitance, inductance value) and analysis results stored in the background according to the identified key abnormal link, and display them in an eye-catching manner (such as highlighting, bolding, charts, etc.). For example, for the key abnormal link of "charger aging", the significant increase of its resistance value compared to the baseline value and the analysis of the impact of this increase on voltage drop can be highlighted. The purpose is to provide users with intuitive and quantitative abnormal data support and enhance the credibility of the diagnostic conclusion.

[0099] In addition, generating explanatory text including the electrical characteristic parameter deviation of the key abnormal link leading to the summary diagnostic conclusion means that the system will automatically generate an easy-to-understand text description according to the extracted electrical characteristic parameter deviation of the key abnormal link. This text will clearly explain how the parameter deviation leads to the summary diagnostic conclusion. For example, for the example of "charger aging", the explanatory text can explain that "the high resistance value of the charger leads to an increase in voltage drop during the charging process, thereby reducing the charging efficiency and possibly causing the cable to heat up". This step aims to help users understand the principles behind technical details rather than just presenting data, thereby better guiding users to take operation suggestions.

[0100] The scheme of the present application presents the complex diagnostic information in layers, first presenting a general conclusion, avoiding the user from being overwhelmed by a large amount of professional data at the first time, and improving the readability of the information. When the user is interested in the general conclusion and chooses to view the details, the system can accurately identify the key abnormal link and extract and highlight the electrical characteristic parameters and their deviations related to the link. At the same time, by generating explanatory text, the abstract electrical parameter deviations are logically associated with specific diagnostic conclusions, so that the user can clearly understand the problem and its causes. This shallow-to-deep, layer-by-layer display method effectively solves the problem that the traditional diagnostic information display method may be too professional and difficult for users to understand.

[0101] Through the above technical scheme, the present application can significantly improve the user's understanding efficiency and accuracy of the mobile phone charger charging detection diagnostic information. The user no longer needs to have professional electrical knowledge to quickly understand the general health status of the electrical energy transmission path through the general diagnostic conclusion. When in-depth understanding is needed, the highlighting of the key abnormal link, the detailed electrical characteristic parameters and their deviations, and the intuitive explanatory text provided by the system can help the user clearly grasp the root cause and impact of the problem, so as to more effectively adopt and execute the operation suggestions, avoid misjudgment or delay due to information overload or understanding barriers, and ultimately improve the practicality of the charging detection and user experience.

[0102] In some embodiments of the present application described above, it is proposed that after the user performs the operation suggestion, the mobile phone charger charging detection is performed again, and the diagnostic information and the operation suggestion are updated according to the latest detection results. However, in the implementation process, if only one-time detection is performed, it may not be able to comprehensively and accurately evaluate the long-term or subtle effect of the user's operation, nor can it provide further guidance when the operation effect is not ideal. This limitation may lead to repeated attempts or ineffective operations by the user in solving the charging problem, thereby affecting user experience and charging efficiency.

[0103] To this end, the present application further proposes that the step of performing the mobile phone charger charging detection again after the user performs the operation suggestion and updating the diagnostic information and the operation suggestion according to the latest detection results comprises: starting an operation effect evaluation period; continuously monitoring the electrical characteristic parameters of the electrical energy transmission path during the operation effect evaluation period; comparing the electrical characteristic parameters with the electrical characteristic parameters of the electrical energy transmission path before the operation suggestion is performed; judging whether the operation effect reaches a preset improvement target according to the comparison result; when the operation effect does not reach the preset improvement target, adjusting the operation suggestion according to the type of the operation suggestion and the deviation of the electrical characteristic parameter; updating the diagnosis information according to the adjusted operation suggestion.

[0104] Specifically, the start of the operation effect evaluation period means that after the user executes the operation suggestion provided by the system, the system automatically or after the user confirms, starts a preset time period for observing and evaluating the actual effect of the operation suggestion. This period can be dynamically set according to the type of the operation suggestion, the time of the expected effect, and other factors. For example, for the suggestion of cleaning the charger, the evaluation period may be short; for the suggestion of replacing the charger, the evaluation period may need to cover multiple charging cycles.

[0105] During the operation effect evaluation period, the electrical characteristic parameter of the electrical energy transmission path is continuously monitored. It can be understood that the system continuously collects and analyzes the key electrical parameters of the charging path during the evaluation period. These parameters include but are not limited to voltage, current, impedance, power loss, etc. The purpose is to comprehensively and real-time grasp the health condition changes of the electrical energy transmission path.

[0106] In practical application, comparing the electrical characteristic parameter with the electrical characteristic parameter of the electrical energy transmission path before executing the operation suggestion means comparing the electrical characteristic parameter monitored during the evaluation period with the reference electrical characteristic parameter recorded before the user executes the operation suggestion. This comparison aims to quantify the actual improvement degree of the electrical characteristic of the electrical energy transmission path by the operation suggestion, for example, comparing the improvement of charging efficiency, the reduction of impedance, etc.

[0107] Further, judging whether the operation effect reaches the preset improvement target according to the comparison result means that the system evaluates whether the operation suggestion successfully solves the problem or reaches the expected optimization effect according to the pre-set performance index or threshold. For example, if the charging efficiency is improved by more than 5%, or the impedance of a specific link is reduced by more than 10%, it can be determined that the improvement target is reached.

[0108] When the operation effect does not reach the preset improvement target, the operation suggestion is adjusted according to the type of the operation suggestion and the deviation of the electrical characteristic parameter. This means that the system has the ability of adaptive learning and optimization. For example, if the initial suggestion is to clean the charger, but the effect is not good, the system may judge that the problem may be in the charger or the charger itself according to the continuous deviation of the electrical characteristic parameter (for example, the impedance is still too high), and adjust to the new suggestion of replacing the charger or the charger. The purpose of adjusting the operation suggestion is to provide more accurate and effective solutions.

[0109] Thus, updating the diagnostic information according to the adjusted operation suggestion means that the system integrates the new and more optimized operation suggestion into the diagnostic information and presents it to the user again. This ensures that the user always gets the latest and most relevant guidance to continuously improve the charging experience.

[0110] The scheme of the present application can systematically track the actual effect of the user executing the operation suggestion by introducing an operation effect evaluation period and continuously monitoring the electrical characteristic parameters of the power transmission path during this period. By comparing the monitored electrical characteristic parameters with the baseline data before the operation, the effectiveness of the operation suggestion can be quantified. When the operation effect does not reach the preset improvement target, the system can intelligently adjust the operation suggestion according to the type of operation suggestion and the deviation of electrical characteristic parameters, thereby avoiding simply repeating ineffective suggestions and providing more targeted solutions. This closed-loop feedback mechanism makes the diagnosis and suggestion process more dynamic and intelligent, ensuring that the user can obtain a continuously optimized charging experience.

[0111] Through the above technical scheme, the present application can overcome the limitation of the conventional method that only performs one-time detection after the user executes the operation suggestion and cannot comprehensively evaluate the operation effect. The present scheme ensures the accuracy and effectiveness of the diagnostic information and operation suggestion through continuous monitoring and dynamic adjustment, significantly improving the success rate of the user solving charging problems. In addition, the system can adaptively optimize the operation suggestion according to the actual effect, avoiding the user wasting time and effort on ineffective operations, thereby improving user satisfaction and charging efficiency.

[0112] In some preferred embodiments, assuming the user receives the diagnostic information, the system suggests that there is slight oxidation on the phone charger, which leads to a slight decrease in charging efficiency, and suggests that the user clean the charger with a cotton swab. After the user performs the cleaning operation as suggested, the system immediately starts a 24-hour operation effect evaluation period. During this period, the system continuously monitors the electrical characteristic parameters of the phone charging current, voltage, and equivalent impedance at the charger. For example, before the user cleans, the equivalent impedance of the charger is 1.5 ohms, and the charging efficiency is 85%. After cleaning, the system monitors that the initial impedance drops to 1.2 ohms, and the charging efficiency increases to 88%. The system compares these data with the baseline data before cleaning, and judges whether the operation effect has reached the preset improvement target (for example, the impedance decreases by more than 10%, and the efficiency increases by more than 2%). If the system judges that the impedance has decreased, but is still higher than the healthy threshold, and the charging efficiency has not reached the expected target, it will determine that the operation effect has not fully met the standard. At this time, the system will adjust the operation suggestion according to the type of operation suggestion (cleaning) and the deviation of the electrical characteristic parameters (the impedance is still high), for example, suggesting that the user try to use professional electronic device cleaner for deep cleaning, or prompting that it may need to check whether there is a problem with the charger. Subsequently, the system updates the diagnostic information according to the adjusted operation suggestion and presents it to the user again, guiding the user to the next operation.

[0113] In some embodiments of the present application described above, it is proposed to continuously monitor the electrical characteristic parameters of the power transmission path during the operation effect evaluation period to evaluate the effect of the user's operation suggestion. However, in actual application, simply continuous monitoring may face problems of low efficiency, high power consumption or insufficient data accuracy, especially in the case of variable running state of handheld terminal. For example, high frequency monitoring when the handheld terminal is in low power consumption mode or non-charging state will unnecessarily consume power, and if the monitoring frequency is insufficient in the charging state, it may miss critical abnormal changes. If different running states are not differentiated in monitoring strategy, it will be difficult to ensure monitoring effect while taking into account system resource consumption and data reliability. In this regard, the present application further proposes a method for optimizing the monitoring of electrical characteristic parameters of the power transmission path during the operation effect evaluation period described above, by identifying the running state of the handheld terminal and dynamically adjusting the monitoring strategy, to improve the efficiency, accuracy and adaptability of the monitoring.

[0114] In this regard, the present application further proposes that during the operation effect evaluation period, the electrical characteristic parameters of the power transmission path are continuously monitored, including: identifying the running state of the handheld terminal; when the handheld terminal is in low power consumption mode or non-charging state, intermittent monitoring is started, and before each monitoring, the sampling accuracy of the related sensor is temporarily improved; monitoring the electrical characteristic parameters of the power transmission path at a high frequency when the handheld terminal is in a charging state; During the monitoring process, voltage and current data of key points on the power transmission path are collected, and abnormal data points caused by transient or intermittent interference are identified and filtered out in combination with time series analysis; The temperature and state of charge of the power storage unit are monitored, and the monitored electrical characteristic parameters are calibrated according to the temperature and state of charge of the power storage unit; the monitoring strategy of the electrical characteristic parameters is dynamically adjusted according to the operation suggestion type.

[0115] Specifically, "identifying the running state of the handheld terminal" means that the system judges whether the handheld terminal is in a low-power mode, a non-charging state, or a charging state by reading internal state information of the handheld terminal, such as the charging state of the power management module, the load condition of the CPU, the on / off state of the screen, and the user activity mode, etc. Among them, the low-power mode usually means that the handheld terminal is in standby or sleep state, and the system resource consumption is extremely low; the non-charging state means that the handheld terminal is not connected to a charging device and relies on its own power storage unit for power supply; the charging state means that the handheld terminal is being charged through a charger or data line.

[0116] "when the handheld terminal is in a low-power mode or a non-charging state, start intermittent monitoring, and temporarily improve the sampling accuracy of the relevant sensors before each monitoring" means that in order to balance the effectiveness of monitoring and system power consumption, when the handheld terminal is not in the critical charging period, the monitoring activity is not continuous, but is periodically sampled at a preset time interval. Before each sampling, the relevant sensors for measuring voltage and current are temporarily adjusted to a higher sampling frequency or resolution to ensure that accurate data is obtained within a short time, so as to capture potential changes in the power transmission path without significantly increasing overall power consumption.

[0117] "when the handheld terminal is in a charging state, monitoring the electrical characteristic parameters of the power transmission path at a high frequency" means that when the handheld terminal is connected to a charging device and is being charged, since the working load of the power transmission path is high at this time, and any abnormality may directly affect the charging efficiency and safety, therefore the monitoring system will continuously collect electrical characteristic parameters at a higher frequency in order to timely discover and respond to any subtle abnormal fluctuations.

[0118] The "in the monitoring process, collecting the voltage and current data of the key points on the power transmission path, and combining time series analysis to identify and filter out abnormal data points caused by transient or intermittent interference" refers to the processing of the original voltage and current data by applying time series analysis algorithms such as moving average, Kalman filter or outlier detection methods. The purpose is to distinguish the changes in electrical characteristics caused by actual abnormalities in the power transmission path from temporary and non-continuous data abnormalities caused by external environmental noise, system transient load fluctuations or communication interference, thereby improving the reliability and accuracy of the monitoring data.

[0119] The "monitoring the temperature and state of charge of the power storage unit, and calibrating the monitored electrical characteristic parameters according to the temperature and state of charge of the power storage unit" refers to the fact that the temperature and current state of charge (SOC) of the power storage unit (such as a battery) can significantly affect its internal impedance and electrical characteristics. Therefore, when monitoring the electrical characteristic parameters of the power transmission path, the temperature and state of charge data of the power storage unit are also obtained, and a pre-set calibration model or lookup table is used to correct the monitored electrical characteristic parameters to eliminate the influence of temperature and state of charge on the measurement results, ensuring the authenticity and comparability of the electrical characteristic parameters.

[0120] The "according to the type of operation suggestion, dynamically adjusting the monitoring strategy of the electrical characteristic parameters" refers to the fact that the system adjusts the focus and parameters of the monitoring according to different operation suggestions performed by the user, such as "cleaning the charging interface", "replacing the charger" or "checking the charger". For example, if the operation suggestion is to clean the charging interface, the monitoring strategy may focus more on the change of contact resistance at the interface; if the operation suggestion is to replace the charger, more attention will be paid to the impedance and voltage drop of the charger. This dynamic adjustment makes the monitoring more targeted and improves the efficiency and accuracy of evaluating the effect of the operation.

[0121] The scheme of the present application solves the problem of low efficiency and high power consumption of traditional continuous monitoring schemes in different operating states by identifying the operating state of the handheld terminal and dynamically adjusting the monitoring strategy of the power transmission path. Specifically, in the low-power or non-charging state, intermittent monitoring and temporary improvement of sampling accuracy are adopted to effectively balance power consumption and data quality; while in the critical charging period, continuous monitoring at high frequency is adopted to ensure timely capture of abnormal situations. In addition, by filtering out interference data through time series analysis and calibrating the electrical characteristic parameters according to the temperature and state of charge of the power storage unit, the accuracy and reliability of the monitoring data are greatly improved. Furthermore, the monitoring strategy is dynamically adjusted according to the type of operation suggestion performed by the user, making the monitoring activity more targeted and enabling more accurate evaluation of the effect of specific operations.

[0122] By the above technical solution, the monitoring power consumption of the handheld terminal in the non-critical state can be significantly reduced, and the device endurance time is prolonged, and in the critical state such as charging, the rapid and accurate detection of the abnormality of the power transmission path is ensured. The intelligent monitoring strategy not only improves the utilization efficiency of system resources, but also effectively improves the accuracy and reliability of the electrical characteristic parameters through the data filtering and calibration mechanism, thereby providing a solid data foundation for subsequent operation effect evaluation and diagnosis information updating. In addition, the dynamic monitoring adjustment for different operation suggestions makes the evaluation process more accurate and efficient, thereby improving the user experience and the overall health management level of the charging system.

[0123] In some preferred embodiments, it is assumed that the handheld terminal enters the operation effect evaluation period after the user performs the operation suggestion of "cleaning the charging interface".

[0124] Specifically, when the handheld terminal is in the standby state (i.e., low-power mode or non-charging state), the system will start intermittent monitoring every 5 minutes. Before each monitoring starts, the sampling rate of the sensor for measuring the charging interface voltage and current will be temporarily increased from the regular Hz to 1 kHz for 5 seconds to obtain high-precision instantaneous data. When the handheld terminal is connected to the charger and starts charging, the system will immediately switch to the high-frequency continuous monitoring mode, and the charging current, charging voltage, and voltage drop at the charging interface are collected at a frequency of 500 Hz without interruption.

[0125] During data collection, if a data point is detected to have a large fluctuation within a very short time (e.g., within milliseconds) and does not conform to the overall trend, it will be identified as a transient disturbance by the time series analysis algorithm and filtered out. At the same time, the system will monitor the temperature (e.g., through a built-in temperature sensor) and state of charge (e.g., through a battery management chip) of the power storage unit in real time, and according to the preset temperature-resistance calibration curve, the measured charging interface resistance value is calibrated to eliminate the influence of temperature change on resistance measurement.

[0126] Since the operation suggestion performed by the user is "cleaning the charging interface", the system will dynamically adjust the monitoring strategy and focus on the change of the contact resistance of the charging interface. For example, in data analysis, a small decrease in contact resistance will be more sensitively identified as a key indicator of operation effect improvement.

[0127] Reference Figure 3 , Figure 3 is a structural schematic diagram of a mobile phone charger charging detection system provided by an embodiment of the application, comprising: an input end for injecting an alternating test signal with a preset frequency range into the power transmission path; and measuring the voltage response and current response of the alternating test signal at key points on the power transmission path; The computing end is configured to calculate electrical characteristic parameters of the power transmission path at multiple frequencies according to the voltage response and the current response; store reference electrical characteristic parameters of each link of the power transmission path in a preset state; compare the electrical characteristic parameters with the reference electrical characteristic parameters to identify deviation of the power transmission path; The adjusting end is configured to determine electrical characteristic abnormalities of each link of the power transmission path according to the deviation; quantify an influence proportion of each link on power supply efficiency reduction according to the electrical characteristic abnormality degree; adjust a power supply strategy according to the influence proportion; and provide diagnostic information and operation suggestions of the power transmission path to a user.

[0128] The mobile phone charger charging detection system of the application aims to solve the problem of insufficient diagnostic capability of the traditional existing charging detection method when facing multiple, non-obvious fault sources. By modularizing the detection, analysis, diagnosis and strategy adjustment functions of the power transmission path into the input end, the computing end and the adjusting end, the system can work cooperatively to realize fine and multi-frequency electrical characteristic analysis of the entire power transmission path. The input end is responsible for actively injecting an alternating test signal and collecting response data to provide a basis for subsequent analysis; the computing end performs in-depth processing on the collected data, calculates electrical characteristic parameters of each link and compares them with reference parameters to identify potential deviations; the adjusting end further determines abnormal links, quantifies their influence on charging efficiency and dynamically adjusts the charging strategy accordingly, while providing intuitive diagnostic information and operation suggestions to the user. This systematic design ensures the coherence and efficiency of the entire process from data collection to decision output, thereby effectively improving charging efficiency and user experience.

[0129] The mobile phone charger charging detection system of the application realizes comprehensive detection and intelligent management of the power transmission path through its specific functional module division.

[0130] The input end is configured to inject an alternating test signal with a preset frequency range into the power transmission path and measure voltage response and current response of the alternating test signal at key points of the power transmission path. The injection method of the alternating test signal, the selection of the preset frequency range, the selection of the key points and the measurement method of the voltage response and the current response have been described in the above embodiments and will not be repeated here. It should be emphasized that the input end can be implemented as an independent hardware module, such as an integrated circuit containing a signal generator and a high-precision data acquisition unit, or as part of a mobile phone charging management chip. The purpose is to ensure accurate injection of the test signal and accurate collection of the response data to provide reliable raw data for subsequent electrical characteristic analysis.

[0131] The computing end is configured to calculate electrical characteristic parameters of the power transmission path at multiple frequencies according to the voltage response and the current response, store reference electrical characteristic parameters of each link of the power transmission path in a preset state, and compare the electrical characteristic parameters with the reference electrical characteristic parameters to identify a deviation of the power transmission path. The calculation method of the electrical characteristic parameters, the storage manner of the reference parameters, and the identification logic of the deviation have been described in the above embodiments and will not be repeated here. Specifically, the computing end can be implemented as a microprocessor, a digital signal processor (DSP), or an application-specific integrated circuit (ASIC) which has a storage unit integrated therein for storing the reference electrical characteristic parameters and processing algorithms. The computing end is responsible for complex mathematical operations and logical judgments on the raw data collected by the input end, so as to reveal the deep electrical characteristics of the power transmission path and identify the difference from the healthy state.

[0132] The adjusting end is configured to determine electrical characteristic abnormalities of each link of the power transmission path according to the deviation, quantify the influence proportion of each link on the decrease of the power supplement efficiency according to the degree of the electrical characteristic abnormalities, adjust the power supplement strategy according to the influence proportion, and provide the user with diagnosis information and operation suggestions of the power transmission path. The determination method of the electrical characteristic abnormalities, the quantification manner of the influence proportion, the adjustment logic of the power supplement strategy, and the provision manner of the diagnosis information and the operation suggestions have been described in the above embodiments and will not be repeated here. In actual applications, the adjusting end can be implemented as a control logic unit, such as a software module running on a mobile phone main control chip, or a separate intelligent decision unit. The core function thereof is to make intelligent decisions based on the analysis results provided by the computing end, including dynamic adjustment of charging parameters and provision of personalized and operable suggestions to the user, so as to optimize the charging process and improve the user experience.

[0133] The mobile phone charger charging detection system of the present application has made significant progress compared to the prior art, which mainly focuses on monitoring the internal state of the battery and the method of charging protocol negotiation. When facing multiple, non-obvious fault sources, the prior art often cannot effectively distinguish the source of the fault and can only adopt a conservative "one-size-fits-all" strategy, resulting in reduced charging efficiency and poor user experience. The present application modularizes the detection, calculation, and adjustment functions to form a closely coordinated system that can analyze the electrical characteristics of the entire power transmission path at multiple frequencies and multiple links. This systematic design makes fault diagnosis more refined and automated, and can clearly indicate whether the problem is with the charger, the cable, or the battery itself, and quantify the degree of influence of each. As a result, the system can adopt more targeted optimization strategies, for example, if it is found that the problem is caused by the aging of the charger, the system can suggest that the user replace the cable instead of simply reducing the charging current. In addition, the system can also dynamically adjust the power supply strategy according to the degree of abnormality and the proportion of influence, thereby maximizing charging efficiency while ensuring safety. By providing clear diagnostic information and actionable recommendations to users, the present application significantly improves user experience and solves the pain points of the prior art, such as insufficient diagnostic capabilities and the inability to provide targeted solutions.

[0134] The above only describes the embodiments of the present application and is not intended to limit the protection scope of the present application. For those skilled in the art, the present application can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A mobile phone charger charging detection method, characterized in that, The method comprises: injecting an alternating test signal with a preset frequency range into an electric energy transmission path; measuring voltage and current responses of the electric energy transmission path to the alternating test signal at key points on the electric energy transmission path; calculating electrical characteristic parameters of the electric energy transmission path at multiple frequencies according to the voltage and current responses; storing baseline electrical characteristic parameters of each link of the electric energy transmission path in a preset state; comparing the electrical characteristic parameters with the baseline electrical characteristic parameters to identify deviations of the electric energy transmission path; judging electrical characteristic abnormalities of each link of the electric energy transmission path according to the deviations; quantifying an influence proportion of each link on electric energy supplement efficiency reduction according to the electrical characteristic abnormality degree; adjusting an electric energy supplement strategy according to the influence proportion; providing diagnostic information and operation suggestions of the electric energy transmission path to a user.

2. The method of claim 1, wherein, The quantifying an influence proportion of each link on electric energy supplement efficiency reduction according to the electrical characteristic abnormality degree comprises: simulating electrical characteristics of the electric energy transmission path based on an equivalent circuit model of the electric energy transmission path; adjusting parameters corresponding to each link in the equivalent circuit model according to the deviations; identifying independent contributions of each link to the electric energy supplement efficiency reduction according to the equivalent circuit model; and quantifying the influence proportion of each link on the electric energy supplement efficiency reduction according to the independent contributions.

3. The method of claim 1, wherein the method further comprises: The storing baseline electrical characteristic parameters of each link of the electric energy transmission path in a preset state comprises: evaluating a health state of the electric energy transmission path; judging differences between electrical characteristic parameters of the electric energy transmission path and the baseline electrical characteristic parameters; adjusting the baseline electrical characteristic parameters according to the electrical characteristic parameters of the electric energy transmission path when the differences are within a preset allowable range; recording update information of the baseline electrical characteristic parameters.

4. The method of claim 1, wherein, The adjusting an electric energy supplement strategy according to the influence proportion comprises: identifying strategy combinations in electric energy supplement strategies corresponding to multiple abnormal links on the electric energy transmission path; determining a dominant strategy in the strategy combinations according to a preset priority rule; adjusting electric energy supplement current, electric energy supplement voltage, and electric energy supplement mode according to the dominant strategy and the influence proportion within an output range allowed by an electric energy supplement device; and outputting the electric energy supplement strategy.

5. The method of claim 1, wherein, The providing diagnostic information and operation suggestions of the electric energy transmission path to a user comprises: sorting the diagnostic information and the operation suggestions according to the influence proportion; preferentially displaying the diagnostic information and the operation suggestions corresponding to an abnormal link with the largest influence proportion on a display interface of a handheld terminal; associating and displaying the operation suggestions with the diagnostic information, and sending a link for each operation suggestion to guide a user to perform an operation; after the user performs the operation suggestion, re-performing a mobile phone charger charging detection, and updating the diagnostic information and the operation suggestions according to the latest detection results; and When the diagnostic information is displayed, a summary diagnostic conclusion is presented in a hierarchical display manner, and when the user selects to view details, the electrical characteristic abnormal data and analysis results are displayed.

6. The method of claim 5, wherein the method further comprises: The diagnostic information and the operation suggestion corresponding to the abnormal link with the largest impact proportion are preferentially displayed on the display interface of the handheld terminal, including: When the handheld terminal is in a call state, the diagnostic information and the operation suggestion are notified in the form of vibration or low-volume prompt sound, and after the call ends, the diagnostic information and the operation suggestion are automatically presented on the display interface; When the handheld terminal is in a game or video playing state, the diagnostic information and the operation suggestion are superimposed on the display interface in the form of a semi-transparent floating window, and the position and size of the semi-transparent floating window are automatically adjusted; When the user is performing a text input operation, the diagnostic information and the operation suggestion are prompted in the form of a notification bar message, and after the user completes the text input, the diagnostic information and the operation suggestion are automatically displayed; When the handheld terminal is in a low power state, the diagnostic information and the operation suggestion are forcibly displayed in the form of a full-screen pop-up window; When the handheld terminal is in a charging state, the diagnostic information and the operation suggestion are displayed in the form of a charging animation or a screen saver, and when the user unlocks the screen, the detailed display interface is automatically switched to.

7. The method of claim 5, wherein the method further comprises: When the diagnostic information is displayed, a summary diagnostic conclusion is presented in a hierarchical display manner, and when the user selects to view details, the electrical characteristic abnormal data and analysis results are displayed, including: Identifying a key abnormal link in the summary diagnostic conclusion; According to the key abnormal link, extracting and highlighting the electrical characteristic parameters of the key abnormal link and their deviation from the electrical characteristic abnormal data and the analysis results; Generating an explanatory text including the electrical characteristic parameter deviation of the key abnormal link leading to the summary diagnostic conclusion.

8. The method of claim 5, wherein the method further comprises: After the user performs the operation suggestion, the phone charger charging detection is performed again, and the diagnostic information and the operation suggestion are updated according to the latest detection results, including: Starting an operation effect evaluation period; During the operation effect evaluation period, the electrical characteristic parameters of the electrical energy transmission path are continuously monitored; The electrical characteristic parameters are compared with the electrical characteristic parameters of the electrical energy transmission path before the operation suggestion is performed; According to the comparison result, it is judged whether the operation effect reaches the preset improvement target; When the operation effect does not reach the preset improvement target, the operation suggestion is adjusted according to the type of the operation suggestion and the deviation of the electrical characteristic parameters; The diagnostic information is updated according to the adjusted operation suggestion.

9. The method of claim 8, wherein the method further comprises: During the operation effect evaluation period, the electrical characteristic parameters of the electrical energy transmission path are continuously monitored, including: Identifying the running state of the handheld terminal; When the handheld terminal is in a low-power mode or a non-charging state, intermittent monitoring is started, and before each monitoring, the sampling accuracy of the related sensors is temporarily improved; continuously monitor the electrical characteristic parameters of the power transmission path at high frequency when the handheld terminal is in charging state; During the monitoring process, collect voltage and current data of key points on the power transmission path, and identify and filter out abnormal data points caused by transient or intermittent interference in combination with time series analysis; Monitor the temperature and state of charge of the power storage unit, and calibrate the monitored electrical characteristic parameters according to the temperature and state of charge of the power storage unit; dynamically adjust the monitoring strategy of the electrical characteristic parameters according to the operation suggestion type.

10. A mobile phone charger charging detection system, characterized by, comprise: an input end for injecting an alternating test signal with a preset frequency range into the power transmission path; measure the voltage response and current response of the alternating test signal at key points on the power transmission path; a calculation end for calculating the electrical characteristic parameters of the power transmission path at multiple frequencies according to the voltage response and current response; storing the reference electrical characteristic parameters of each link of the power transmission path in a preset state; comparing the electrical characteristic parameters with the reference electrical characteristic parameters to identify the deviation of the power transmission path; an adjustment end for judging the electrical characteristic abnormality of each link on the power transmission path according to the deviation; quantify the influence proportion of each link on the decrease of power supply efficiency according to the degree of electrical characteristic abnormality; adjust the power supply strategy according to the influence proportion; and provide the user with diagnosis information and operation suggestions of the power transmission path.

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