On-line monitoring method and system for vehicle fast charging chip

Abstract

The invention provides an on-line monitoring method and system for a vehicle fast charging chip, and relates to the technical field of chip monitoring, and the method comprises the steps: carrying out the fast charging of a target terminal through a target fast charging chip, and carrying out the real-time monitoring, and obtaining a target fast charging record; extracting protocol identification information in the target fast charging record, judging whether the protocol identification information meets a first predetermined constraint, and if yes, generating a monitoring analysis instruction; fast charging tracking information in the target fast charging record is extracted; analyzing the fast charging current tracking time sequence and the fast charging voltage tracking time sequence to obtain a target chip monitoring result; judging whether the target chip monitoring result meets a second predetermined constraint or not; if yes, qualified marking is carried out on the target fast-charging chip, if not, unqualified marking is carried out on the target fast-charging chip, the fast-charging chip can be monitored in multiple dimensions, and the effects of improving the fast-charging chip monitoring speed, improving the accuracy rate and improving the monitoring efficiency are achieved.

Description

Technical Field

[0001] The present disclosure relates to the field of chip monitoring technology, and in particular to an online monitoring method and system for a fast-charging chip for a vehicle. Background Art

[0002] The fast charging chip is connected to the control terminal through a communication module. In the existing battery charging technology, there are problems such as the inability to monitor the fast charging chip in multiple dimensions, the inability to track and monitor the charging current and voltage in real time, and the slow fast charging protocol recognition rate.

[0003] To sum up, the prior art has the problem that it is impossible to monitor the fast charging chip in multiple dimensions, resulting in a low rate, low accuracy and low monitoring efficiency of the fast charging chip. Summary of the invention

[0004] The present disclosure provides an online monitoring method and system for a fast-charging chip for a vehicle, which is used to solve the technical problem in the prior art that the fast-charging chip cannot be monitored in multiple dimensions, resulting in a low monitoring rate, low accuracy, and low monitoring efficiency.

[0005] According to a first aspect of the present disclosure, an online monitoring method for a fast charging chip for a vehicle is provided, comprising: fast charging the target terminal through a target fast charging chip, and obtaining a target fast charging record through real-time monitoring; extracting protocol identification information in the target fast charging record, and determining whether the protocol identification information satisfies a first predetermined constraint, and if so, generating a monitoring and analysis instruction; based on the monitoring and analysis instruction, extracting fast charging tracking information in the target fast charging record, wherein the fast charging tracking information includes a fast charging current tracking timing and a fast charging voltage tracking timing; analyzing the fast charging current tracking timing and the fast charging voltage tracking timing through a fast charging monitoring and analysis model to obtain a target chip monitoring result; determining whether the target chip monitoring result satisfies a second predetermined constraint; if so, generating a qualified instruction, and marking the target fast charging chip as qualified, and if not, generating a first unqualified instruction, and marking the target fast charging chip as unqualified.

[0006] According to a second aspect of the present disclosure, an online monitoring system for a fast-charging chip for a vehicle is provided, comprising: a target fast-charging record acquisition module, the target fast-charging record acquisition module is used to fast-charge the target terminal through the target fast-charging chip, and obtain the target fast-charging record through real-time monitoring; a monitoring and analysis instruction acquisition module, the monitoring and analysis instruction acquisition module is used to extract the protocol identification information in the target fast-charging record, and determine whether the protocol identification information satisfies a first predetermined constraint, and if so, generates a monitoring and analysis instruction; a fast-charging tracking information acquisition module, the fast-charging tracking information acquisition module is used to extract the fast-charging tracking information in the target fast-charging record based on the monitoring and analysis instruction, wherein the fast-charging tracking information package The module comprises a fast charge current tracking timing and a fast charge voltage tracking timing; a target chip monitoring result obtaining module, wherein the target chip monitoring result obtaining module is used to analyze the fast charge current tracking timing and the fast charge voltage tracking timing through a fast charge monitoring analysis model to obtain a target chip monitoring result; a target chip monitoring result judgment module, wherein the target chip monitoring result judgment module is used to judge whether the target chip monitoring result satisfies a second predetermined constraint; a target chip monitoring result processing module, wherein the target chip monitoring result processing module is used to generate a qualified instruction if the constraint is satisfied, and mark the target fast charge chip as qualified; and if the constraint is not satisfied, generate a first unqualified instruction, and mark the target fast charge chip as unqualified.

[0007] One or more technical solutions provided in the present application have at least the following technical effects or advantages: fast charging the target terminal through the target fast charging chip adopted in accordance with the present disclosure, and real-time monitoring to obtain the target fast charging record; extracting the protocol identification information in the target fast charging record, and judging whether the protocol identification information satisfies the first predetermined constraint, and if so, generating a monitoring and analysis instruction; based on the monitoring and analysis instruction, extracting the fast charging tracking information in the target fast charging record, wherein the fast charging tracking information includes a fast charging current tracking timing and a fast charging voltage tracking timing; analyzing the fast charging current tracking timing and the fast charging voltage tracking timing through a fast charging monitoring and analysis model to obtain a target chip monitoring result; judging whether the target chip monitoring result satisfies the second predetermined constraint; if so, generating a qualified instruction, and marking the target fast charging chip as qualified, and if not, generating a first unqualified instruction, and marking the target fast charging chip as unqualified, so as to obtain a technology for monitoring the fast charging chip in multiple dimensions, and realizing the technical effect of improving the rate of monitoring the fast charging chip, improving the accuracy, and improving the monitoring efficiency.

[0008] It should be understood that the contents described in this section are not intended to indicate the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the present disclosure or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0010] Figure 1 A flow chart of an online monitoring method for a vehicle fast charging chip provided in an embodiment of the present disclosure;

[0011] Figure 2 A schematic diagram of a process for extracting protocol identification information from a target fast charging record in an online monitoring method of a fast charging chip for a vehicle according to an embodiment of the present disclosure;

[0012] Figure 3 A schematic diagram of a process for obtaining a target chip monitoring result in an online monitoring method of a vehicle fast charging chip according to an embodiment of the present disclosure;

[0013] Figure 4 A schematic diagram of the structure of an online monitoring system for a vehicle fast charging chip provided in an embodiment of the present disclosure.

[0014] Explanation of the accompanying drawings: target fast charging record acquisition module 11, monitoring and analysis instruction acquisition module 12, fast charging tracking information acquisition module 13, target chip monitoring result acquisition module 14, target chip monitoring result judgment module 15, target chip monitoring result processing module 16. DETAILED DESCRIPTION

[0015] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0016] In order to solve the technical problem in the prior art that the fast charging chip cannot be monitored in multiple dimensions, resulting in a low rate, low accuracy, and low monitoring efficiency of the fast charging chip, the inventors of the present invention have obtained an online monitoring method and system for a fast charging chip for a vehicle through creative work:

[0017] Embodiment 1

[0018] Figure 1 An online monitoring method for a vehicle fast charging chip provided in an embodiment of the present application includes:

[0019] Step S100: fast charging the target terminal through the target fast charging chip, and real-time monitoring to obtain the target fast charging record;

[0020] Specifically, the target fast charging chip is a vehicle fast charging chip to be monitored. The target terminal is quickly charged by the target fast charging chip. Optionally, the target terminal can be a mobile device such as a mobile phone or a tablet. Furthermore, the method for fast charging the target terminal can be a charging method such as magnetic charging and charging cable charging. Furthermore, the target terminal is monitored in real time to obtain a target fast charging record. The target fast charging record is displayed as the amount of electricity obtained per second.

[0021] Step S200: extracting the protocol identification information in the target fast charging record, and determining whether the protocol identification information satisfies a first predetermined constraint, and if so, generating a monitoring and analysis instruction;

[0022] Specifically, the protocol information of the target fast charging chip is matched with the protocol information of the target chip to obtain matching identification information. The matching identification information is extracted as the protocol identification information in the target fast charging record. Further, it is determined whether the protocol identification information satisfies the first predetermined constraint. Among them, the first predetermined constraint is the constraint that the protocol identification information matches, and then fast charging can be performed. Further, if it is determined that the first predetermined constraint is met, a monitoring and analysis instruction is generated to monitor the actual charging process.

[0023] Step S300: extracting fast charge tracking information in the target fast charge record based on the monitoring and analysis instruction, wherein the fast charge tracking information includes a fast charge current tracking timing and a fast charge voltage tracking timing;

[0024] Specifically, the actual charging process is monitored according to the monitoring and analysis instructions. The fast charging tracking information in the target fast charging record is extracted, and the fast charging tracking information includes the fast charging current tracking timing and the fast charging voltage tracking timing. Furthermore, the fast charging current tracking timing is to track the current changes in the fast charging process in real time, and the fast charging voltage tracking timing is to track the voltage changes in the fast charging process in real time.

[0025] Step S400: Analyze the fast charge current tracking timing and the fast charge voltage tracking timing through a fast charge monitoring analysis model to obtain a target chip monitoring result;

[0026] Furthermore, a fast charge monitoring and analysis model is constructed based on the neural network model. The fast charge current tracking timing is input into the fast charge monitoring and analysis model to obtain the target current curve. Among them, the variation index of the current curve is obtained according to the target current curve. Further, the current variation index threshold is preset according to the fast charge protocol information. If the variation index of the current curve meets the preset current variation index threshold, the variation index of the current curve is added to the target chip monitoring result.

[0027] Furthermore, the fast charge voltage tracking timing is input into the fast charge monitoring and analysis model to obtain the target voltage curve. The variation index of the voltage curve is obtained according to the target voltage curve. Furthermore, the voltage variation index threshold is preset according to the fast charge protocol information. If the variation index of the voltage curve meets the preset voltage variation index threshold, the variation index of the voltage curve is added to the target chip monitoring result.

[0028] Step S500: determining whether the target chip monitoring result satisfies a second predetermined constraint;

[0029] Specifically, it is determined whether the target chip monitoring result meets the second predetermined constraint. The second predetermined constraint is that the fast charge current tracking timing and the fast charge voltage tracking timing meet the preset current value and voltage value, and then the target fast charge chip is a fast charge chip, then fast charging can be performed. The instruction on whether to perform monitoring is obtained according to the judgment result.

[0030] Step S600: If the conditions are met, a qualified instruction is generated, and the target fast charging chip is marked as qualified. If the conditions are not met, a first unqualified instruction is generated, and the target fast charging chip is marked as unqualified.

[0031] Specifically, if it is determined that the target chip monitoring result meets the second predetermined constraint, the target fast charging chip is a fast charging chip, and then a qualified instruction of the target fast charging chip is generated, and then the target fast charging chip is marked as qualified. Further, if it is determined that the target chip monitoring result does not meet the second predetermined constraint, the target fast charging chip is a non-fast charging chip, and then a first unqualified instruction is generated, and the target fast charging chip is marked as unqualified.

[0032] Among them, through this embodiment, the fast charging chip can be monitored in multiple dimensions, thereby achieving the effect of improving the monitoring rate of the fast charging chip, improving the accuracy, and improving the monitoring efficiency.

[0033] like Figure 2 As shown, step S200 in the method provided in the embodiment of the present application includes:

[0034] S210: Extracting the connection time between the target fast charging chip and the target terminal, and recording it as the first time;

[0035] S220: extracting a charging protocol identification result from the protocol identification information, wherein the charging protocol identification result has a second time mark;

[0036] S230: Obtaining a protocol recognition efficiency according to the first time and the second time;

[0037] S240: Reading a predetermined fast charging scheme of the target fast charging chip, and extracting a predetermined charging protocol in the predetermined fast charging scheme;

[0038] S250: Compare the charging protocol recognition result with the predetermined charging protocol to obtain a protocol recognition accuracy rate;

[0039] S260: The protocol identification efficiency and the protocol identification accuracy together constitute the protocol identification information.

[0040] Specifically, the connection time between the target fast charging chip and the target terminal, that is, the charging start time, is extracted and recorded as the first time. Furthermore, the protocol identification information is a plurality of information with protocol characteristics. Among them, the protocol characteristics are characteristic information of different current and voltage combinations. Furthermore, a charging protocol database is constructed based on big data, and the charging protocol database includes protocol identification information with multiple protocol characteristics. Among them, the protocol identification information is matched with the charging protocol database, and the protocol identification result is obtained by matching. Further, the charging protocol identification result in the protocol identification information is extracted. Among them, the charging protocol identification result has a second time identifier, that is, the time when the protocol is identified.

[0041] Further, the time difference between the second time and the first time is calculated through the first time and the second time to obtain the protocol recognition efficiency. Further, the predetermined fast charging scheme of the target fast charging chip is read, wherein the predetermined fast charging scheme is a method scheme for charging using the fast charging protocol. Further, the predetermined charging protocol in the predetermined fast charging scheme is extracted. For example, the predetermined charging protocols include USB DCP charging protocol, Type-C charging protocol, QC3.0 charging protocol, etc.

[0042] Furthermore, the charging protocol identification result of the target terminal is compared with the predetermined charging protocol of the target fast charging chip to obtain the protocol identification accuracy. Among them, if the predetermined charging protocol of the target fast charging chip meets the charging protocol identification result of the target terminal, the protocol identification accuracy is high. If the predetermined charging protocol of the target fast charging chip does not meet the charging protocol identification result of the target terminal, the protocol identification accuracy is low, and the target terminal cannot be quickly charged. Furthermore, the protocol identification efficiency and the protocol identification accuracy are extracted to form the protocol identification information.

[0043] Among them, extracting the protocol identification information in the target fast charging record helps to monitor the fast charging chip corresponding to the protocol information.

[0044] Step S220 in the method provided in the embodiment of the present application includes:

[0045] S221: Building a charging protocol database based on big data, wherein the charging protocol database includes a plurality of charging protocols with protocol feature identifiers;

[0046] S222: extracting protocol feature information from the protocol identification information;

[0047] S223: Traverse the protocol characteristic information among the plurality of charging protocols with protocol characteristic identifiers to obtain the charging protocol identification result.

[0048] Specifically, based on big data, a search is performed with the charging protocol as an index condition to obtain multiple charging protocols. A charging protocol database is constructed based on the multiple charging protocols. The charging protocol database includes multiple charging protocols with protocol feature identifiers.

[0049] Furthermore, the protocol feature information is the distinguishing feature of multiple protocols with different currents and voltages. The protocol identification information is information composed of multiple protocol features. Among them, the protocol feature information in the protocol identification information is extracted, the protocol feature information is traversed in multiple charging protocols with protocol feature identifiers in the protocol feature database, and multiple charging protocols with protocol feature identifiers are accessed in turn, and the protocol feature information in the protocol identification information is matched to obtain the charging protocol identification result.

[0050] Among them, extracting the charging protocol identification results from the protocol identification information helps to obtain the identification features of the charging protocol, and then monitor the charging protocol and fast charging chip.

[0051] like Figure 3 As shown, step S400 in the method provided in the embodiment of the present application includes:

[0052] S410: Generate a target tracking current curve of the fast charging current tracking sequence through a first analysis unit in the fast charging monitoring and analysis model;

[0053] S420: Determine whether the target tracking current curve meets a predetermined current threshold;

[0054] S430: If it is in compliance, obtain a first fluctuation index of the target tracking current curve, and use the first fluctuation index as the target chip monitoring result.

[0055] Among them, a fast charge monitoring and analysis model is constructed according to the neural network model. Among them, the fast charge monitoring and analysis model is a neural network model that can be continuously iteratively optimized in machine learning, and is obtained by analyzing data. Furthermore, the fast charge monitoring and analysis model includes a first analysis unit. The fast charge current tracking timing is input, and the first analysis unit performs analysis and processing to obtain the target tracking current curve.

[0056] Further, it is determined whether the target tracking current curve meets the predetermined current threshold, wherein the predetermined current threshold is the same as the charging protocol current value of the target terminal. Further, if it is determined that the target tracking current curve meets the predetermined current threshold, it means that its fast charging method is to increase the current. The first fluctuation index of the target tracking current curve is obtained.

[0057] Step S430 in the method provided in the embodiment of the present application includes:

[0058] S431: Obtain the peak current value and the valley current value of the target tracking current curve, and subtract them to obtain a target current fluctuation range;

[0059] S432: Matching the target fluctuation level of the target current fluctuation interval;

[0060] S433: Acquire a first current value of the target tracking current curve, and match adjacent points of the first current value, which are recorded as a first adjacent current value and a second adjacent current value respectively;

[0061] S434: if the first adjacent current value and the second adjacent current value are both equal to the first current value, adding the first current value to the constant current list; if the first adjacent current value or the second adjacent current value is not equal to the first current value, adding the first current value to the non-constant current list;

[0062] S435: counting the number of current values ​​in the constant current list and the non-constant current list in sequence, and recording them as constant current count and non-constant current count respectively;

[0063] S436: Obtain a target constant current index according to the constant current number and the non-constant current number, and perform weighted calculation on the target fluctuation level to obtain the first fluctuation variation index.

[0064] Specifically, the peak current value and the valley current value of the target tracking current curve are obtained, and the peak current value is subtracted from the valley current value to obtain the target current fluctuation interval. Further, multiple fluctuation levels are obtained according to different current fluctuation intervals, and multiple fluctuation levels are extracted to obtain a fluctuation level database. The target current fluctuation interval is matched with the fluctuation level database to obtain the target fluctuation level.

[0065] Furthermore, the current value of the target tracking current curve is randomly extracted to obtain a first current value, wherein the neighboring points of the first current value are matched to obtain a plurality of neighboring points, which are recorded as the first neighboring current value and the second neighboring current value, respectively.

[0066] Furthermore, if the first adjacent current value and the second adjacent current value are both equal to the first current value, a current unchanged state is obtained, and the first current value is added to the constant current list. If the first adjacent current value or the second adjacent current value is not equal to the first current value, the current is in a state of fluctuation, and the first current value is added to the non-constant current list.

[0067] Further, the number of current values ​​in the constant current list and the non-constant current list is sequentially counted and recorded as the constant current number and the non-constant current number, respectively. The target constant current index is calculated according to the constant current number and the non-constant current number, and the target constant current index and the target fluctuation level are weighted to obtain the first fluctuation change index.

[0068] Among them, obtaining the first fluctuation index of the target tracking current curve helps to obtain the change of charging current and then monitor the target fast charging chip.

[0069] Step S400 in the method provided in the embodiment of the present application includes:

[0070] S440: Reading a predetermined hardware type, and performing a quality test on the predetermined hardware type to obtain a target hardware quality index;

[0071] S450: Adding the target hardware quality index to the target chip monitoring result;

[0072] S460: The predetermined hardware types include a charging cable, a charger, and a battery.

[0073] Specifically, the predetermined hardware type is read. The predetermined hardware type includes a charging cable, a charger, and a battery. Further, the predetermined hardware type is quality tested to obtain a target hardware quality index. For example, the target hardware quality index may be excellent, good, poor, etc. Further, the target hardware quality index is added to the target chip monitoring result.

[0074] Among them, fast charging with increased current will damage some hardware, so these hardware are quality tested and the test results are included in the chip monitoring results.

[0075] Step S420 in the method provided in the embodiment of the present application includes:

[0076] S421: If it does not meet the requirements, retrieve the fast charge voltage tracking timing generated by the second analysis unit in the fast charge monitoring and analysis model;

[0077] S422: Determine whether the target tracking voltage curve meets a predetermined voltage threshold;

[0078] S423: If it is compliant, obtain a second fluctuation index of the target tracking voltage curve, and use the second fluctuation index as the target chip monitoring result; if it is not compliant, generate a second unqualified instruction, and mark the target fast charging chip as unqualified according to the second unqualified instruction.

[0079] Specifically, the fast charge voltage tracking timing is input into the second analysis unit in the fast charge monitoring and analysis model, and the second analysis unit performs analysis to output a target tracking voltage curve. Furthermore, if it is determined that the target tracking current curve does not meet the predetermined current threshold, the target tracking voltage curve generated by the second analysis unit in the fast charge monitoring and analysis model is retrieved to determine whether it meets the predetermined voltage threshold. The predetermined voltage threshold is the same as the charging protocol voltage value of the target terminal. Furthermore, if it is determined that the target tracking voltage curve meets the predetermined voltage threshold, it means that the fast charging method is to increase the voltage. Obtain a second fluctuation index of the target tracking current curve, and then use the second fluctuation index as the target chip monitoring result.

[0080] Further, a second fluctuation variation index of the target tracking voltage curve is obtained. Among them, the peak voltage value and the valley voltage value of the target tracking voltage curve are obtained, and the target voltage fluctuation interval is obtained by subtracting them. Further, the target fluctuation level of the target voltage fluctuation interval is matched. The first voltage value of the target tracking voltage curve is obtained, and the adjacent points of the first voltage value are matched, which are respectively recorded as the first adjacent voltage value and the second adjacent voltage value. Further, if the first adjacent voltage value and the second adjacent voltage value are both equal to the first voltage value, the first voltage value is added to the constant voltage list, and if the first adjacent voltage value or the second adjacent voltage value is not equal to the first voltage value, the first voltage value is added to the non-constant voltage list. Further, the number of voltage values ​​in the constant voltage list and the non-constant voltage list is counted in turn, which are respectively recorded as the constant voltage number and the non-constant voltage number. The target constant voltage index is obtained according to the constant voltage number and the non-constant voltage number, and weighted calculation is performed with the target fluctuation level to obtain the second fluctuation variation index.

[0081] Further, if it is determined that the target tracking voltage curve does not meet the predetermined voltage threshold, it means that the fast charging method is not to increase the voltage, and a second unqualified instruction is generated. Further, the target fast charging chip is marked as unqualified according to the second unqualified instruction.

[0082] Among them, according to the target fast charging chip not meeting the predetermined current threshold, the target fast charging chip does not improve the charging efficiency by increasing the current. Furthermore, the target fast charging chip does not meet the voltage threshold, so the target fast charging chip does not improve the charging efficiency by increasing the voltage. Furthermore, the target fast charging chip is a non-fast charging chip.

[0083] Step S420 in the method provided in the embodiment of the present application includes:

[0084] S424: monitoring the power consumption of the DC-DC converter inside the target terminal to obtain power consumption data of the target converter;

[0085] S425: Add the target converter power consumption data to the target chip monitoring result.

[0086] Specifically, the power consumption of the DC-DC converter inside the target terminal is monitored, wherein the DC-DC converter is a DC-DC converter, specifically a circuit or electromechanical device that converts electrical energy, and is used to convert a DC power supply into a DC power supply of different voltages. Further, the power consumption of the DC-DC converter inside the target terminal is monitored to obtain target converter power consumption data. The target converter power consumption data is the loss data of the target converter. Further, the target converter power consumption data is added to the target chip monitoring result.

[0087] Among them, the power consumption of the DC-DC converter inside the target terminal is monitored to obtain the power consumption data of the target converter, which helps to obtain the monitoring result of the target chip through the power consumption monitoring data result of the converter.

[0088] Step S600 in the method provided in the embodiment of the present application includes:

[0089] S610: Read a predetermined chip indicator set, wherein the predetermined chip indicator set includes connectivity, leakage current, impedance, power-on reset, overvoltage protection, and undervoltage lockout;

[0090] S620: testing each chip indicator in the predetermined chip indicator set in sequence to obtain a target indicator data set;

[0091] S630: Adjust the monitoring marking result of the target fast charging chip using the target indicator data set.

[0092] Specifically, a predetermined chip indicator set is read, wherein the predetermined chip indicator set includes connectivity, leakage current, impedance, power-on reset, overvoltage protection, and undervoltage lockout. Further, impedance is the resistance to the current in a circuit having resistance, inductance, and capacitance. Impedance is often represented by Z, which is a complex number. The real part is called resistance and the imaginary part is called reactance. The resistance of the capacitor to the alternating current in the circuit is called capacitive reactance, and the resistance of the inductor to the alternating current in the circuit is called inductive reactance. The resistance of the capacitor and the inductor to the alternating current in the circuit is collectively called reactance.

[0093] Further, each chip indicator in the predetermined chip indicator set is detected in turn to obtain multiple predetermined chip indicator set detection results, and the multiple predetermined chip indicator set detection results are added to the target indicator data set. Further, the monitoring mark result of the target fast charging chip is adjusted by the target indicator data set to obtain the monitoring mark adjustment result of the target fast charging chip.

[0094] Among them, testing the chip indicator set to obtain the chip indicator set detection results is helpful to adjust the monitoring marking results of the target fast charging chip.

[0095] Embodiment 2

[0096] Based on the same inventive concept as the online monitoring method of a vehicle fast charging chip in the aforementioned embodiment, Figure 4 As shown, the present application also provides an online monitoring system for a vehicle fast charging chip, the system comprising:

[0097] A target fast charging record obtaining module 11, the target fast charging record obtaining module is used to fast charge the target terminal through a target fast charging chip, and obtain a target fast charging record through real-time monitoring;

[0098] A monitoring and analysis instruction acquisition module 12, the monitoring and analysis instruction acquisition module is used to extract the protocol identification information in the target fast charging record, and determine whether the protocol identification information satisfies the first predetermined constraint, and if so, generate a monitoring and analysis instruction;

[0099] A fast charge tracking information acquisition module 13, the fast charge tracking information acquisition module is used to extract the fast charge tracking information in the target fast charge record based on the monitoring and analysis instruction, wherein the fast charge tracking information includes a fast charge current tracking timing and a fast charge voltage tracking timing;

[0100] A target chip monitoring result obtaining module 14, wherein the target chip monitoring result obtaining module is used to analyze the fast charge current tracking timing and the fast charge voltage tracking timing through a fast charge monitoring analysis model to obtain a target chip monitoring result;

[0101] A target chip monitoring result judgment module 15, wherein the target chip monitoring result judgment module is used to judge whether the target chip monitoring result satisfies a second predetermined constraint;

[0102] The target chip monitoring result processing module 16 is used to generate a qualified instruction if the conditions are met and mark the target fast charging chip as qualified; if the conditions are not met, generate a first unqualified instruction and mark the target fast charging chip as unqualified.

[0103] Furthermore, the system further comprises:

[0104] A first time acquisition module, the first time acquisition module is used to extract the connection time between the target fast charging chip and the target terminal, recorded as the first time;

[0105] A charging protocol identification result obtaining module, the charging protocol identification result obtaining module is used to extract the charging protocol identification result in the protocol identification information, wherein the charging protocol identification result has a second time mark;

[0106] A protocol recognition efficiency obtaining module, the protocol recognition efficiency obtaining module is used to obtain the protocol recognition efficiency according to the first time and the second time;

[0107] A predetermined charging protocol acquisition module, the predetermined charging protocol acquisition module is used to read the predetermined fast charging scheme of the target fast charging chip and extract the predetermined charging protocol in the predetermined fast charging scheme;

[0108] A protocol recognition accuracy acquisition module, wherein the protocol recognition accuracy acquisition module is used to compare the charging protocol recognition result with the predetermined charging protocol to obtain a protocol recognition accuracy rate;

[0109] A protocol identification information acquisition module is used for the protocol identification efficiency and the protocol identification accuracy to form the protocol identification information.

[0110] Furthermore, the system further comprises:

[0111] A charging protocol database acquisition module, the charging protocol database acquisition module is used to construct a charging protocol database based on big data, wherein the charging protocol database includes a plurality of charging protocols with protocol feature identifiers;

[0112] A protocol feature information acquisition module, the protocol feature information acquisition module is used to extract the protocol feature information in the protocol identification information;

[0113] A charging protocol identification result obtaining module is used to traverse the protocol feature information among the multiple charging protocols with protocol feature identifiers to obtain the charging protocol identification result.

[0114] Furthermore, the system further comprises:

[0115] A target tracking current curve acquisition module, the target tracking current curve acquisition module is used to generate a target tracking current curve of the fast charging current tracking sequence through the first analysis unit in the fast charging monitoring and analysis model;

[0116] A predetermined current threshold judgment module, the predetermined current threshold judgment module is used to judge whether the target tracking current curve meets the predetermined current threshold;

[0117] The target chip monitoring result obtaining module is used to obtain the first fluctuation index of the target tracking current curve if it meets the requirements, and use the first fluctuation index as the target chip monitoring result.

[0118] Furthermore, the system further comprises:

[0119] A target current fluctuation interval obtaining module, the target current fluctuation interval obtaining module is used to obtain the peak current value and the valley current value of the target tracking current curve, and subtract them to obtain the target current fluctuation interval;

[0120] A target fluctuation level obtaining module, the target fluctuation level obtaining module is used to match the target fluctuation level of the target current fluctuation interval;

[0121] A neighboring point acquisition module, the neighboring point acquisition module is used to acquire a first current value of the target tracking current curve, and match neighboring points of the first current value, which are recorded as a first neighboring current value and a second neighboring current value respectively;

[0122] a current list obtaining module, wherein the current list obtaining module is used to add the first current value to a constant current list if the first adjacent current value and the second adjacent current value are both equal to the first current value, and to add the first current value to a non-constant current list if the first adjacent current value or the second adjacent current value is not equal to the first current value;

[0123] A current number acquisition module, the current number acquisition module is used to sequentially count the number of current values ​​in the constant current list and the non-constant current list, and record them as constant current numbers and non-constant current numbers respectively;

[0124] The first fluctuation index obtaining module is used to obtain a target constant current index according to the constant current number and the non-constant current number, and perform weighted calculation with the target fluctuation level to obtain the first fluctuation index.

[0125] Furthermore, the system further comprises:

[0126] A target hardware quality index obtaining module, the target hardware quality index obtaining module is used to read a predetermined hardware type and perform a quality test on the predetermined hardware type to obtain a target hardware quality index;

[0127] A target chip monitoring result obtaining module, wherein the target chip monitoring result obtaining module is used to add the target hardware quality index to the target chip monitoring result;

[0128] A hardware type acquisition module is used in which the predetermined hardware types include a charging cable, a charger and a battery.

[0129] Furthermore, the system further comprises:

[0130] A fast charge voltage tracking timing acquisition module, wherein if the module does not meet the requirements, the fast charge voltage tracking timing acquisition module is used to retrieve the fast charge voltage tracking timing generated by the second analysis unit in the fast charge monitoring and analysis model;

[0131] A predetermined voltage threshold judgment module, the predetermined voltage threshold judgment module is used to judge whether the target tracking voltage curve meets the predetermined voltage threshold;

[0132] A predetermined voltage threshold processing module is used to obtain a second fluctuation index of the target tracking voltage curve if it meets the requirements, and use the second fluctuation index as the target chip monitoring result; if it does not meet the requirements, generate a second unqualified instruction, and mark the target fast charging chip as unqualified according to the second unqualified instruction.

[0133] Furthermore, the system further comprises:

[0134] A target converter power consumption data acquisition module, the target converter power consumption data acquisition module is used to monitor the power consumption of the DC-DC converter inside the target terminal to obtain the target converter power consumption data;

[0135] A target chip monitoring result obtaining module is used to add the target converter power consumption data to the target chip monitoring result.

[0136] Furthermore, the system further comprises:

[0137] A predetermined chip indicator set acquisition module, the predetermined chip indicator set acquisition module is used to read a predetermined chip indicator set, wherein the predetermined chip indicator set includes connectivity, leakage current, impedance, power-on reset, overvoltage protection, and undervoltage lockout;

[0138] A target indicator data set acquisition module, wherein the target indicator data set acquisition module is used to sequentially detect each chip indicator in the predetermined chip indicator set to obtain a target indicator data set;

[0139] A monitoring marking result processing module, wherein the monitoring marking result processing module is used to adjust the monitoring marking result of the target fast charging chip through the target indicator data set.

[0140] The specific example of the online monitoring method of a vehicle fast charging chip in the aforementioned embodiment 1 is also applicable to the online monitoring system of a vehicle fast charging chip in this embodiment. Through the aforementioned detailed description of the online monitoring method of a vehicle fast charging chip, those skilled in the art can clearly know the online monitoring system of a vehicle fast charging chip in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0141] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of this disclosure can be achieved, and this document is not limited here.

[0142] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principles of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. An online monitoring method for a fast charging chip for a vehicle, characterized in that: The online monitoring method is applied to an online monitoring system, the online monitoring system is connected to a target terminal for communication, and the online monitoring method includes: The target terminal is fast charged by a target fast charging chip, and a target fast charging record is obtained by real-time monitoring; Extracting the protocol identification information in the target fast charging record, and determining whether the protocol identification information satisfies a first predetermined constraint, and if so, generating a monitoring and analysis instruction; Based on the monitoring and analysis instruction, extract the fast charge tracking information in the target fast charge record, wherein the fast charge tracking information includes a fast charge current tracking timing and a fast charge voltage tracking timing; The fast charge current tracking timing and the fast charge voltage tracking timing are analyzed by a fast charge monitoring analysis model to obtain a target chip monitoring result; Determining whether the target chip monitoring result satisfies a second predetermined constraint; If the conditions are met, a qualified instruction is generated and the target fast charging chip is marked as qualified. If the conditions are not met, a first unqualified instruction is generated and the target fast charging chip is marked as unqualified.

2. The online monitoring method according to claim 1, characterized in that: The extracting the protocol identification information in the target fast charging record includes: Extract the connection time between the target fast charging chip and the target terminal, and record it as the first time; Extracting a charging protocol identification result from the protocol identification information, wherein the charging protocol identification result has a second time mark; Obtaining a protocol recognition efficiency according to the first time and the second time; Reading a predetermined fast charging scheme of the target fast charging chip, and extracting a predetermined charging protocol in the predetermined fast charging scheme; Comparing the charging protocol recognition result with the predetermined charging protocol to obtain a protocol recognition accuracy rate; The protocol identification efficiency and the protocol identification accuracy together constitute the protocol identification information.

3. The online monitoring method according to claim 2, characterized in that: The extracting the charging protocol identification result in the protocol identification information includes: Building a charging protocol database based on big data, wherein the charging protocol database includes a plurality of charging protocols with protocol feature identifiers; Extracting protocol feature information from the protocol identification information; The protocol characteristic information is traversed among the plurality of charging protocols having protocol characteristic identifiers to obtain the charging protocol identification result.

4. The online monitoring method according to claim 1, characterized in that: The fast charge current tracking timing and the fast charge voltage tracking timing are analyzed by the fast charge monitoring analysis model to obtain the target chip monitoring result, including: Generate a target tracking current curve of the fast charging current tracking sequence by a first analysis unit in the fast charging monitoring and analysis model; Determining whether the target tracking current curve meets a predetermined current threshold; If it is in compliance, a first fluctuation index of the target tracking current curve is obtained, and the first fluctuation index is used as the target chip monitoring result.

5. The online monitoring method according to claim 4, characterized in that: The step of obtaining a first fluctuation index of the target tracking current curve includes: Obtaining the peak current value and the valley current value of the target tracking current curve, and subtracting them to obtain a target current fluctuation range; matching a target fluctuation level of the target current fluctuation interval; Acquire a first current value of the target tracking current curve, and match adjacent points of the first current value, which are recorded as a first adjacent current value and a second adjacent current value respectively; If the first adjacent current value and the second adjacent current value are both equal to the first current value, the first current value is added to the constant current list; if the first adjacent current value or the second adjacent current value is not equal to the first current value, the first current value is added to the non-constant current list; Count the numbers of current values ​​in the constant current list and the non-constant current list in sequence, and record them as constant current number and non-constant current number respectively; A target constant current index is obtained according to the constant current number and the non-constant current number, and is weightedly calculated with the target fluctuation level to obtain the first fluctuation variation index.

6. The online monitoring method according to claim 5, characterized in that: After taking the first fluctuation index as the target chip monitoring result, the method further includes: Reading a predetermined hardware type, and performing a quality inspection on the predetermined hardware type to obtain a target hardware quality index; Adding the target hardware quality index to the target chip monitoring result; The predetermined hardware types include a charging cable, a charger and a battery.

7. The online monitoring method according to claim 4, characterized in that: After determining whether the target tracking current curve meets the predetermined current threshold, the method further comprises: If not, calling the fast charge voltage tracking timing generated by the second analysis unit in the fast charge monitoring and analysis model; Determining whether the target tracking voltage curve meets a predetermined voltage threshold; If it is compliant, obtain the second fluctuation index of the target tracking voltage curve, and use the second fluctuation index as the target chip monitoring result. If it is not compliant, generate a second unqualified instruction, and mark the target fast charging chip as unqualified according to the second unqualified instruction.

8. The online monitoring method according to claim 7, characterized in that: After taking the second fluctuation index as the target chip monitoring result, the method further includes: Monitoring the power consumption of the DC-DC converter inside the target terminal to obtain power consumption data of the target converter; The target converter power consumption data is added to the target chip monitoring result.

9. The online monitoring method according to claim 1, characterized in that: Also includes: Reading a predetermined chip indicator set, wherein the predetermined chip indicator set includes connectivity, leakage current, impedance, power-on reset, overvoltage protection, and undervoltage lockout; Detect each chip indicator in the predetermined chip indicator set in turn to obtain a target indicator data set; The monitoring marking results of the target fast charging chip are adjusted using the target indicator data set.

10. An online monitoring system for a fast-charging chip for a vehicle, characterized in that: A method for online monitoring of a vehicle fast charging chip according to any one of claims 1 to 9, the system comprising: A target fast charging record acquisition module, which is used to fast charge the target terminal through a target fast charging chip and obtain a target fast charging record through real-time monitoring; A monitoring and analysis instruction acquisition module, the monitoring and analysis instruction acquisition module is used to extract the protocol identification information in the target fast charging record, and determine whether the protocol identification information satisfies the first predetermined constraint, and if so, generate a monitoring and analysis instruction; A fast charge tracking information acquisition module, the fast charge tracking information acquisition module is used to extract the fast charge tracking information in the target fast charge record based on the monitoring and analysis instruction, wherein the fast charge tracking information includes a fast charge current tracking timing and a fast charge voltage tracking timing; A target chip monitoring result acquisition module, wherein the target chip monitoring result acquisition module is used to analyze the fast charge current tracking timing and the fast charge voltage tracking timing through a fast charge monitoring analysis model to obtain a target chip monitoring result; A target chip monitoring result judgment module, wherein the target chip monitoring result judgment module is used to judge whether the target chip monitoring result satisfies a second predetermined constraint; The target chip monitoring result processing module is used to generate a qualified instruction if the conditions are met and mark the target fast charging chip as qualified; if the conditions are not met, generate a first unqualified instruction and mark the target fast charging chip as unqualified.

Images