Performance optimization method and system for charging terminal base
Through multi-dimensional performance evaluation methods, coating feature collection, charging control status monitoring and environmental analysis, the problem of inaccurate performance evaluation of the charging terminal block is solved, and the charging efficiency and life are improved.
Patent Information
- Application Number
- CN202510743178.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-09
- Publication Date
- 2025-09-12
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The performance evaluation of existing charging terminal blocks focuses on a single dimension, resulting in inaccurate evaluation results and insufficient optimization, which affects charging efficiency and service life.
By adopting coating feature collection, charging control status monitoring and charging environment analysis, combined with the principle of coefficient of variation, multi-dimensional performance evaluation is carried out, including the calculation of comprehensive indexes of contact performance, heat dissipation performance and anti-corrosion performance.
The accuracy of the performance evaluation results of the charging terminal block is improved, and the charging efficiency and service life are improved.
Smart Images
Figure CN120632437A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field related to electrical connectors, and in particular to a performance optimization method and system for a charging terminal block. Background Art
[0002] With the increasing popularity of electric vehicles and portable electronic devices, charging terminal blocks, as key interfaces for energy transmission, have a stable and efficient performance that is directly related to user experience, device safety, and battery life. With the rapid development of technology and the continuous increase in market demand, traditional charging terminal blocks have gradually exposed problems such as poor contact, low heat dissipation efficiency, and insufficient corrosion resistance when facing complex and changing charging environments and usage scenarios. These problems not only limit charging efficiency but may also cause safety hazards. During frequent plugging and unplugging and current transmission, wear and oxidation of the contact pieces and aging of the coating will lead to increased contact resistance, which in turn affects charging efficiency and even creates a short circuit risk. In high-power charging mode, the charging terminal block and surrounding components will generate a lot of heat. If the heat dissipation is not smooth, the local temperature will be too high, affecting material properties, accelerating aging, and even causing serious consequences such as fire. In harsh environments such as humidity and salt spray, the charging terminal block is extremely susceptible to corrosion, leading to problems such as poor contact and decreased insulation performance.
[0003] Therefore, at the current stage, the performance optimization related technologies of the charging terminal seat focus on performance evaluation in a single dimension, which leads to inaccurate performance evaluation results of the charging terminal seat and insufficient comprehensiveness of performance optimization, resulting in poor charging efficiency and service life of the charging terminal seat. Summary of the Invention
[0004] This application provides a performance optimization method and system for a charging terminal seat, and adopts technical means such as coating feature collection, charging control status monitoring, and charging environment analysis to solve the technical problem that the existing charging terminal seat focuses on a single dimension of performance evaluation, which leads to inaccurate performance evaluation results of the charging terminal seat, insufficient comprehensiveness of performance optimization, and poor charging efficiency and service life of the charging terminal seat. It realizes comprehensive multi-dimensional performance evaluation and achieves the technical effect of improving the accuracy of performance evaluation results, charging efficiency and service life of the charging terminal seat.
[0005] The present application provides a performance optimization method for a charging terminal seat, the method comprising: reading a predetermined performance evaluation strategy, the predetermined performance evaluation strategy refers to a strategy for evaluating a predetermined multi-dimensional performance of the charging terminal seat, wherein the predetermined multi-dimensional performance includes at least contact performance, heat dissipation performance and anti-corrosion performance; collecting features of a contact piece coating of the charging terminal seat according to the predetermined performance evaluation strategy to obtain coating feature information, and analyzing the coating feature information to obtain a contact performance index; dynamically monitoring the charging control state of the charging terminal seat according to the predetermined performance evaluation strategy to obtain a charging control record, and analyzing the charging control record to obtain a heat dissipation performance index; analyzing the charging environment information in the charging control record according to the predetermined performance evaluation strategy to obtain an anti-corrosion performance index; and performing weighted calculation on the contact performance index, the heat dissipation performance index and the heat dissipation performance index using the coefficient of variation principle to obtain a comprehensive performance index of the charging terminal seat.
[0006] In a possible implementation, a performance optimization method for a charging terminal seat also performs the following processing: the coating feature information includes a plurality of coating components with matching ratio identifications; the plurality of coating components with matching ratio identifications are traversed in a coating database to obtain a target matching coating; the historical contact resistance records of the target matching coating are retrieved, and the target application time corresponding to the target contact resistance in the historical contact resistance records is matched; the contact coefficient is read, and the contact performance index is obtained based on the contact coefficient and the target application time.
[0007] In a possible implementation, a performance optimization method for a charging terminal seat further performs the following processing: obtaining a first coating in the coating database, wherein the first coating information of the first coating includes a plurality of first coating components with matching ratio identifications; comparing the plurality of coating components with matching ratio identifications with the plurality of first coating components with matching ratio identifications based on the principle of a Tanimoto similarity coefficient algorithm to obtain a first coating similarity; when the first coating similarity reaches a similarity limit, recording the first coating as the target matching coating.
[0008] In a possible implementation, a performance optimization method for a charging terminal block further performs the following processing: reading a predetermined charging control constraint; filtering the charging control record based on the predetermined charging control constraint to obtain target monitoring information, wherein the target monitoring information includes multiple monitoring temperatures; obtaining a temperature difference average based on a first temperature difference between a first monitoring temperature and a predetermined temperature threshold, wherein the first monitoring temperature is any one of the multiple monitoring temperatures; reading a heat dissipation coefficient, and obtaining the heat dissipation performance index based on the heat dissipation coefficient and the temperature difference average.
[0009] In a possible implementation, a performance optimization method for a charging terminal block further performs the following processing: the predetermined charging control constraint is composed of predetermined thresholds of predetermined charging control indicators, and the predetermined charging control indicators include charging voltage, charging current and charging efficiency.
[0010] In a possible implementation, a performance optimization method for a charging terminal seat also performs the following processing: extracting a first charging record from the charging control record, the first charging record including first charging environment information, first charging control information and first charging monitoring information; introducing an environmental loss analysis function to analyze the first charging environment information to obtain a first environmental loss index; comparing the first charging control information and the first charging monitoring information to obtain a first actual loss index; reading an anti-corrosion coefficient, and performing a weighted calculation on the first loss deviation of the first environmental loss index and the first actual loss index based on the anti-corrosion coefficient to obtain the anti-corrosion performance index.
[0011] In a possible implementation, a method for optimizing the performance of a charging terminal block further performs the following processing: the expression of the environmental loss analysis function is as follows:
[0012]
[0013] Wherein, f(x) refers to the first environmental loss index of the first charging environment information x, x k It refers to the kth environmental indicator parameter in the first charging environment information x. The first charging environment information x includes K environmental indicator parameters. k Refers to the loss coefficient of the kth environmental indicator parameter.
[0014] In a possible implementation, a performance optimization method for a charging terminal seat also performs the following processing: reading a predetermined performance optimization strategy; screening the predetermined multi-dimensional performance according to the predetermined performance optimization strategy to obtain a target performance to be optimized, and performing targeted optimization on the target performance to be optimized.
[0015] The present application also provides a performance optimization system for a charging terminal seat, comprising: a predetermined performance evaluation strategy reading module, the predetermined performance evaluation strategy reading module is used to read a predetermined performance evaluation strategy, the predetermined performance evaluation strategy refers to a strategy for evaluating a predetermined multi-dimensional performance of the charging terminal seat, wherein the predetermined multi-dimensional performance includes at least contact performance, heat dissipation performance and anti-corrosion performance; a contact performance index acquisition module, the contact performance index acquisition module is used to collect characteristics of the contact sheet coating of the charging terminal seat according to the predetermined performance evaluation strategy, obtain coating characteristic information, and analyze the coating characteristic information to obtain a contact performance index; a heat dissipation performance index acquisition module, the The heat dissipation performance index acquisition module is used to dynamically monitor the charging control state of the charging terminal seat according to the predetermined performance evaluation strategy, obtain the charging control record, and analyze the charging control record to obtain the heat dissipation performance index; the anti-corrosion performance index acquisition module, the anti-corrosion performance index acquisition module is used to analyze the charging environment information in the charging control record according to the predetermined performance evaluation strategy to obtain the anti-corrosion performance index; the comprehensive performance index acquisition module, the comprehensive performance index acquisition module is used to use the coefficient of variation principle to perform weighted calculation on the contact performance index, the heat dissipation performance index and the heat dissipation performance index to obtain the comprehensive performance index of the charging terminal seat.
[0016] The performance optimization method and system for a charging terminal seat proposed in this application is intended to read a predetermined performance evaluation strategy; collect characteristics of the contact piece coating of the charging terminal seat to obtain coating characteristic information, and analyze the coating characteristic information to obtain a contact performance index; dynamically monitor the charging control state of the charging terminal seat to obtain a charging control record, and analyze the charging control record to obtain a heat dissipation performance index; analyze the charging environment information in the charging control record to obtain an anti-corrosion performance index; and use the coefficient of variation principle to perform weighted calculations on the contact performance index, heat dissipation performance index, and heat dissipation performance index to obtain a comprehensive performance index of the charging terminal seat. This solves the technical problem that the existing charging terminal seat focuses on a single-dimensional performance evaluation, which leads to inaccurate performance evaluation results of the charging terminal seat, insufficient comprehensiveness of performance optimization, and poor charging efficiency and service life of the charging terminal seat. It realizes a comprehensive multi-dimensional performance evaluation, achieving the technical effect of improving the accuracy of performance evaluation results, charging efficiency, and service life of the charging terminal seat. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the accompanying drawings of the embodiments of the present disclosure are briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in precise order. Instead, various steps may be processed in reverse order or simultaneously as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.
[0018] Figure 1 A schematic flow chart of a method for optimizing the performance of a charging terminal block provided in an embodiment of the present application;
[0019] Figure 2 A schematic diagram of the performance optimization system structure of a charging terminal block provided in an embodiment of the present application.
[0020] Description of the reference numerals: predetermined performance evaluation strategy reading module 10 , contact performance index obtaining module 20 , heat dissipation performance index obtaining module 30 , anti-corrosion performance index obtaining module 40 , comprehensive performance index obtaining module 50 . DETAILED DESCRIPTION
[0021] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.
[0022] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.
[0023] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict, and the terms “first\second” involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. The terms “including” and “having” and any variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or that are inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used herein are for the purpose of describing the embodiments of this application only.
[0024] The embodiment of the present application provides a method for optimizing the performance of a charging terminal seat, such as Figure 1 As shown, the method includes:
[0025] Step S100, read the predetermined performance evaluation strategy, the predetermined performance evaluation strategy refers to a strategy for evaluating the predetermined multi-dimensional performance of the charging terminal seat, wherein the predetermined multi-dimensional performance includes at least contact performance, heat dissipation performance and anti-corrosion performance. The predetermined performance evaluation strategy refers to a strategy for evaluating the predetermined multi-dimensional performance of the charging terminal seat, wherein the predetermined multi-dimensional performance includes contact performance, heat dissipation performance and anti-corrosion performance. Specifically, the contact performance refers to the stability and reliability of the contact between the charging terminal seat and the charging plug or wire, which is directly related to the charging efficiency, the stability and safety of the power transmission. The contact performance can be evaluated by the contact resistance test, that is, testing the static contact resistance of the contact surface between the terminal seat and the plug or wire to ensure that the resistance value is not greater than a certain value to ensure the high efficiency and stability of the power transmission; the heat dissipation performance refers to whether the charging terminal seat can effectively dissipate the heat generated by the passage of current during operation to avoid To avoid performance degradation or safety hazards caused by excessive temperature, a temperature rise test is used to evaluate the heat dissipation performance. The temperature rise of the terminal block is tested to see if it exceeds the specified value during normal use. The general standard stipulates that the temperature rise of the terminal block cannot exceed a certain percentage of the ambient temperature (such as 30%) after the current passes through it. Anti-corrosion performance refers to the ability of the charging terminal block to resist corrosion, mildew and bacterial reproduction during long-term use, which is related to the service life and safety of the terminal block. The anti-corrosion performance of the charging terminal block can be evaluated through environmental simulation experiments. For example, the charging terminal block is placed in a humid, high-temperature and other harsh environment to simulate long-term use conditions and observe whether it becomes mildewed, corroded and other phenomena.
[0026] Step S200, according to the predetermined performance evaluation strategy, the characteristics of the contact piece coating of the charging terminal seat are collected to obtain coating characteristic information, and the coating characteristic information is analyzed to obtain a contact performance index. The characteristic collection of the contact piece coating of the charging terminal seat specifically refers to clarifying that the collection object is the coating of the contact piece on the charging terminal seat, which may have specific material properties (such as metal plating, ceramic coating, etc.) and surface morphology, and selecting a suitable method to collect the coating characteristic information, which may include using a microscope (such as a scanning electron microscope SEM, an optical microscope, etc.) to observe the surface morphology of the coating, including roughness, uniformity, presence of cracks or peeling, etc.; determining the chemical composition and distribution of the coating through spectral analysis (such as X-ray photoelectron spectroscopy XPS, energy dispersive spectroscopy EDS); performing electrical performance tests such as contact resistance and insulation resistance to evaluate the conductivity and insulation of the coating; and then recording various test data as coating characteristic information, such as coating thickness, surface roughness value, chemical composition ratio, contact resistance value, etc. Analysis of coating characteristic information may include surface morphology analysis, chemical composition analysis and electrical performance test analysis. Specifically, surface morphology analysis includes roughness, which evaluates the smoothness of the coating surface. Excessive roughness may increase contact resistance and wear; uniformity, which checks whether the coating evenly covers the surface of the contact piece to avoid local performance differences caused by being too thin or too thick; defect detection, which identifies and records defects such as cracks and peeling in the coating, which may seriously affect the contact performance; chemical composition analysis includes elemental composition, which analyzes the types and contents of the main elements in the coating to understand their impact on the coating performance; phase structure, which determines whether the coating has formed a stable phase structure to support its performance stability under long-term use; electrical performance test analysis includes contact resistance, which measures the contact resistance between the coating and the contact piece and the external conductor to evaluate its conductive performance; insulation resistance, which evaluates the electrical isolation performance of the coating to ensure safe use. Then, different weights are assigned according to the degree of influence of different characteristic information on contact performance. For example, contact resistance and insulation resistance may have higher weights, while surface roughness and chemical composition may have slightly lower weights. The test results of each characteristic information are quantitatively evaluated and weightedly summed according to the assigned weights to obtain the contact performance index. The higher the contact performance index, the better the contact performance of the coating.
[0027] In one possible implementation, step S200 further includes step S210, where the coating characteristic information includes multiple coating components with ratio identifiers. The coating characteristic information includes multiple coating components with ratio identifiers, indicating that the coating is composed of multiple different coating raw materials mixed in a certain proportion. Each coating component has its own unique chemical and physical properties, which interact with each other after mixing to jointly affect the final performance of the coating. The ratio identifier is used to record the specific proportion of each component in the mixture.
[0028] Step S200 also includes step S220, traversing the multiple coating components with ratio identifications in the coating database to obtain a target matching coating. The coating feature information (i.e., multiple coating components and their ratios) is input into the coating database. The database compares the stored coating formula information to find the coating record that best matches the target coating feature information (a record that is very close to the target coating in terms of key components and ratios). The coating database is a library that stores a large number of known coating formulas and their related performance data. Each formula records the various coating components that make up the coating and their specific ratios, as well as the performance of these formulas under different conditions (such as contact resistance, corrosion resistance, wear resistance, etc.).
[0029] Step S200 also includes step S230, retrieving the historical contact resistance record of the target matching coating and matching the target application duration corresponding to the target contact resistance in the historical contact resistance record. Based on the determined target matching coating (i.e., the coating formula that is closest to or matches the required coating composition and its ratio), the historical test data or performance records of the coating are retrieved from the coating database, and records related to contact resistance are screened out, which usually include contact resistance values measured under different test conditions (such as temperature, humidity, pressure, etc.) and their corresponding timestamps. Then, in the screened contact resistance data, records that match or are close to the target contact resistance value are searched. For each set of matching records, the record usually also includes the application duration corresponding to the contact resistance value, which indicates the length of time the coating maintains the contact resistance value under specific test conditions.
[0030] Step S200 also includes step S240, reading a contact coefficient and obtaining a contact performance index based on the contact coefficient and the target application duration. The contact coefficient is used to quantify the relationship between contact resistance and application duration, reflecting the degree of influence of contact resistance on the contact performance of the coating under different application durations. The contact coefficient may be stored in a coating database. The contact coefficient is first read, and then the contact performance index is calculated based on the determined target application duration.
[0031] In one possible implementation, step S220 further includes step S221, obtaining a first coating layer from the coating database, where first coating layer information for the first coating layer includes multiple first coating components with matching ratio identifiers. The first coating layer is a random one of multiple coating layers in the coating database. The first coating layer information is a detailed data set for the first coating layer, including all key information required to define the coating layer formula. The first coating layer information includes multiple first coating components with matching ratio identifiers, which refer to the multiple different coating raw materials that constitute the first coating layer and their corresponding matching ratios. After mixing, they interact with each other to jointly determine the ultimate performance of the coating layer.
[0032] Step S220 also includes step S222, which compares the multiple coating components with ratio identifications with the multiple first coating components with ratio identifications based on the principle of the Tanimoto similarity coefficient algorithm to obtain a first coating similarity. The Tanimoto similarity coefficient is used to compare the similarity between two sets (or vectors), and the target coating component set and the first coating component set are regarded as two feature sets, where the feature of each set is the coating component, and the value (or weight) of the feature is its ratio. The algorithm calculates the intersection size of the two sets (i.e., the common coating components, while considering the ratio similarity or only considering the presence or absence of the component), and compares it with the union size of the two sets. The ratio is the Tanimoto similarity coefficient, which represents the similarity between the two coatings in terms of composition. Finally, the first coating similarity is obtained, which reflects the similarity between the target coating component set and the first coating component set in terms of composition and ratio.
[0033] Step S220 further includes step S223, where, when the similarity of the first coating reaches a similarity limit, the first coating is recorded as the target matching coating. If the similarity reaches a preset similarity limit, the first coating is deemed sufficiently similar to the target coating in terms of composition and ratio, and is recorded as the target matching coating.
[0034] Step S300: Dynamically monitor the charging control state of the charging terminal block according to the predetermined performance evaluation strategy to obtain a charging control record, and analyze the charging control record to obtain a heat dissipation performance index. The charging control state of the charging terminal block is dynamically monitored according to the predetermined performance evaluation strategy to obtain a charging control record. Specifically, temperature sensors, current sensors, and voltage sensors are deployed at key locations of the charging terminal block and its surroundings to monitor key parameters such as current, voltage, and temperature during the charging process in real time. A data acquisition system is established to continuously collect data transmitted by the sensors to form a charging control record reflecting changes in the temperature, current, and voltage of the charging terminal block. The charging control record includes a timestamp (charging start time, end time) and a current change curve, a voltage change curve, a temperature change curve, etc. Then, the charging control records are analyzed to obtain the heat dissipation performance index, which specifically includes analyzing the peak temperature of the terminal block and its surrounding components during charging, determining whether there is overheating, and evaluating the temperature change trend and fluctuation range over time. The temperature rise rate at a specific charging power is calculated, and the time required for the temperature to return to normal levels after charging is completed is analyzed. Based on the degree of influence of factors such as peak temperature, temperature fluctuation, temperature rise rate and heat dissipation time on heat dissipation performance, corresponding weights are assigned, and the test results of various heat dissipation performance indicators are quantitatively evaluated. The weighted summation is performed according to the assigned weights to obtain a heat dissipation performance index, such as excellent, good, general, poor, etc., so as to intuitively evaluate the heat dissipation performance.
[0035] In one possible implementation, step S300 further includes step S310 of reading predetermined charging control constraints. The predefined charging control constraints may include a charging time window, a maximum charging current, a maximum charging voltage, a temperature limit, etc., read from a charging control database to ensure the safety and efficiency of the charging process.
[0036] Step S300 also includes step S320, wherein the charging control records are screened based on the predetermined charging control constraints to obtain target monitoring information, wherein the target monitoring information includes multiple monitored temperatures. The charging control records are screened based on the predetermined charging control constraints to identify records that meet specific conditions (e.g., within a specific time period or under specific charging parameters), particularly records related to temperature monitoring, to obtain target monitoring information, which includes multiple monitored temperature values. These temperature values are automatically monitored and recorded by the temperature sensor during the charging process according to a predetermined sampling frequency, and reflect the temperature changes of the charging terminal block during the charging process.
[0037] Step S300 further includes step S330 of obtaining a temperature difference average based on a first temperature difference between a first monitored temperature and a predetermined temperature threshold, wherein the first monitored temperature is any one of the plurality of monitored temperatures. A monitored temperature (i.e., the first monitored temperature) in the target monitoring information is selected and compared with a predetermined temperature threshold to calculate a temperature difference between the two (i.e., the first temperature difference). The temperature differences between the plurality of monitored temperatures and the predetermined temperature threshold are then calculated for each of the plurality of monitored temperatures, and the average of these temperature differences is calculated.
[0038] Step S300 also includes step S340, reading the heat dissipation coefficient, and obtaining the heat dissipation performance index based on the heat dissipation coefficient and the average value of the temperature difference. The heat dissipation coefficient is a physical quantity that describes the heat exchange capacity between the charging terminal seat and the fluid on its surface (such as air). It reflects the heat transfer rate through the surface of the charging terminal seat per unit time, per unit surface area, and per unit temperature difference. The size of the heat dissipation coefficient is related to factors such as the material, surface characteristics, and fluid properties (such as temperature and flow rate) of the object. The heat dissipation coefficient and the temperature difference (or the average value of the temperature difference) are comprehensively considered. For example, the heat dissipation coefficient is multiplied by the inverse of the temperature difference (because the larger the heat dissipation coefficient and the smaller the temperature difference, the better the heat dissipation performance is generally), and then the heat dissipation performance index is obtained. The higher the heat dissipation performance index, the better the heat dissipation performance of the charging terminal seat under given conditions.
[0039] In one possible implementation, step S310 further includes: the predetermined charging control constraint is composed of predetermined thresholds of predetermined charging control indicators, and the predetermined charging control indicators include charging voltage, charging current, and charging efficiency. The charging voltage refers to the voltage provided to the battery during the charging process (the voltage through the charging terminal block), and its predetermined threshold is intended to avoid overcharging and damage to the battery; the charging current refers to the current passing through the battery (through the charging terminal block) during the charging process, and its predetermined threshold depends on the battery specifications. Excessive charging current may cause battery heating, gas precipitation, and even damage; the charging efficiency refers to the ratio of the actual electrical energy received by the battery during the charging process to the electrical energy output by the charger. It is affected by multiple factors, including charging current, charging voltage, battery temperature, etc., and its predetermined threshold is intended to improve energy utilization and reduce waste. For example, some high-efficiency charging systems require a charging efficiency of more than 90%.
[0040] Step S400 : analyzing the charging environment information in the charging control record according to the predetermined performance evaluation strategy to obtain an anti-corrosion performance index. Charging environment information specifically refers to key environmental parameters such as temperature, humidity, and salt spray concentration around the charging terminal block during the charging process, monitored by environmental sensors. The monitored environmental parameter data is associated with a timestamp and analyzed, including temperature analysis, humidity analysis, and salt spray concentration analysis. High humidity environments can accelerate the corrosion process of metal materials. The recorded humidity data is analyzed to evaluate its impact on the anti-corrosion performance of the charging terminal block. Temperature not only affects the physical and chemical properties of materials but can also accelerate corrosion reactions. The recorded temperature data is analyzed to evaluate its impact on anti-corrosion performance, with particular attention to extreme high or low temperatures. Salt spray environments are particularly corrosive to metal materials. If the charging environment contains salt spray, the salt spray concentration and duration are analyzed to evaluate the corrosion resistance of the charging terminal block in salt spray environments. Based on the degree of influence of different environmental parameters on anti-corrosion performance, corresponding weights are assigned. For example, humidity and salt spray concentration may have higher weights, while temperature may have a slightly lower weight. The test results of each environmental parameter are quantified and scored, and the weighted sum is calculated according to the assigned weights to calculate the anti-corrosion performance index. A higher index indicates better anti-corrosion performance.
[0041] In one possible implementation, step S400 further includes step S410, extracting a first charging record from the charging control record, wherein the first charging record includes first charging environment information, first charging control information, and first charging monitoring information. The first charging record is a charging control record randomly extracted from the charging control record, including the first charging environment information, the first charging control information, and the first charging monitoring information. Specifically, the first charging environment information describes the environmental conditions when charging occurs, which may include temperature, humidity, atmospheric pressure, wind speed, pollutant concentration, etc.; the first charging control information is charging parameters set according to the charging strategy and predetermined charging control constraints, such as target charging voltage, target charging current, and estimated charging time, reflecting the desired state; the first charging monitoring information refers to parameter values actually monitored during the charging process, such as actual charging voltage, actual charging current, actual charging time, battery temperature, current fluctuation, etc., reflecting the actual charging process.
[0042] Step S400 also includes step S420, introducing an environmental loss analysis function to analyze the first charging environment information to obtain a first environmental loss index. The environmental loss analysis function is constructed based on a large amount of experimental data and empirical formulas. Based on the relationship between environmental parameters (such as temperature, humidity, pollutant concentration, etc.) during the charging process and charging performance loss, it calculates the potential loss or impact caused by environmental factors. Specifically, the first charging environment information is input into the environmental loss analysis function, that is, the environmental parameters are mapped to the input variables of the environmental loss analysis function for analysis. The potential loss or impact caused by the current environmental parameters is calculated, and the calculation result is output as a first environmental loss index, which is used to measure the potential loss or impact of the charging process under the current environmental conditions.
[0043] Step S400 also includes step S430, comparing the first charging control information with the first charging monitoring information to obtain a first actual loss index. By comparing the parameters set in the first charging control information with the parameters actually monitored in the first charging monitoring information, the deviation between the actual execution of the charging process and the expected target can be evaluated, and the first actual loss index is calculated to quantify the degree of deviation between the actual charging process and the expected target.
[0044] Step S400 also includes step S440, reading the corrosion resistance coefficient, and performing a weighted calculation on the first loss deviation of the first environmental loss index and the first actual loss index according to the corrosion resistance coefficient to obtain the corrosion resistance performance index. The corrosion resistance coefficient is directly related to the corrosion resistance of the charging device, battery, or related components thereof, and may be determined based on factors such as the corrosion resistance of the material, the protective effect of the coating, the corrosion resistance characteristics of the equipment design, etc. The first loss deviation of the first environmental loss index and the first actual loss index is weightedly calculated according to the corrosion resistance coefficient, that is, the corrosion resistance coefficient is used as a weight factor and multiplied by the first loss deviation to calculate the corrosion resistance performance index, which is used to evaluate the corrosion resistance of the charging terminal block under a specific environment. A higher corrosion resistance performance index indicates that the component can more effectively reduce the loss or impact caused by corrosion under the same environmental conditions, thereby improving overall performance and reliability.
[0045] In a possible implementation, step S420 further includes expressing the environmental loss analysis function as follows:
[0046]
[0047] Wherein, f(x) refers to the first environmental loss index of the first charging environment information x, x k It refers to the kth environmental indicator parameter in the first charging environment information x. The first charging environment information x includes K environmental indicator parameters. k Refers to the loss coefficient of the kth environmental indicator parameter.
[0048] Step S500: Use the coefficient of variation principle to perform a weighted calculation on the contact performance index, the heat dissipation performance index, and the heat dissipation performance index to obtain a comprehensive performance index of the charging terminal block. The coefficient of variation is the ratio of the standard deviation to the mean value, and is used to measure the fluctuation of the dispersion of the data relative to its average level. In the weighted calculation, the larger the coefficient of variation, the greater the volatility of the performance index, that is, the performance shows greater differences under different test or application conditions, and therefore a higher weight is given. The coefficient of variation of the contact performance index, the heat dissipation performance index, and the anti-corrosion performance index are calculated separately. For example, multiple sets of contact performance data are collected, and the mean and standard deviation of these data are calculated. The coefficient of variation of the contact performance index is calculated as follows:
[0049]
[0050] Similarly, the coefficients of variation of the heat dissipation performance index and the anti-corrosion performance index are calculated, and then the coefficients of variation of the three performance indices are normalized. Different weights are assigned to them according to the size of the coefficient of variation. Then, the weighted sum of each performance index is performed to obtain a comprehensive performance index, which is used to compare the overall performance of different charging terminal blocks or the same charging terminal block under different conditions.
[0051] In one possible implementation, step S500 further includes step S510, reading a predetermined performance optimization strategy. The predetermined performance optimization strategy is a pre-defined optimization strategy for the charging terminal block to improve its overall performance. The predetermined performance optimization strategy may include, but is not limited to, determining specific performance optimization goals, such as improving system response speed, reducing resource consumption, and enhancing system stability. Through performance testing and analysis, key factors and bottlenecks affecting the performance of the charging terminal block are identified. A specific optimization plan is then formulated, and optimization measures are gradually implemented to continuously improve performance.
[0052] Step S500 also includes step S520, screening the predetermined multi-dimensional performance according to the predetermined performance optimization strategy, obtaining the target performance to be optimized, and performing targeted optimization on the target performance to be optimized. Based on the predetermined performance optimization strategy, the contact performance, heat dissipation performance and anti-corrosion performance are matched and screened to obtain the target performance to be optimized, and then the predetermined performance optimization strategy is used to perform targeted optimization. For example, for the optimization of contact performance, the original material is replaced with a material with better conductivity and lower contact resistance; the shape, size and contact pressure of the contact surface are adjusted to ensure stable and reliable contact; for the optimization of anti-corrosion performance, a corrosion-resistant and wear-resistant coating is added to the contact surface to extend the service life; for the optimization of heat dissipation performance, the heat dissipation area is increased by changing the shape and size of the radiator or increasing the number of heat sinks; the original material is replaced with a material with better thermal conductivity, or the design of the heat conduction path is improved to reduce thermal resistance.
[0053] In the above, refer to Figure 1 A performance optimization method for a charging terminal seat according to an embodiment of the present invention is described in detail. Figure 2 A performance optimization system for a charging terminal stand according to an embodiment of the present invention is described.
[0054] A performance optimization system for a charging terminal block according to an embodiment of the present invention is used to address the technical problem that existing charging terminal blocks focus on a single-dimensional performance evaluation, which leads to inaccurate performance evaluation results, insufficiently comprehensive performance optimization, and poor charging efficiency and service life of the charging terminal block. The system implements a comprehensive multi-dimensional performance evaluation, achieving the technical effect of improving the accuracy of performance evaluation results, and improving the charging efficiency and service life of the charging terminal block. The system includes: a predetermined performance evaluation strategy reading module 10, a contact performance index obtaining module 20, a heat dissipation performance index obtaining module 30, an anti-corrosion performance index obtaining module 40, and a comprehensive performance index obtaining module 50.
[0055] A predetermined performance evaluation strategy reading module 10, wherein the predetermined performance evaluation strategy reading module 10 is used to read a predetermined performance evaluation strategy, wherein the predetermined performance evaluation strategy refers to a strategy for evaluating predetermined multi-dimensional performance of the charging terminal block, wherein the predetermined multi-dimensional performance includes at least contact performance, heat dissipation performance, and anti-corrosion performance;
[0056] a contact performance index obtaining module 20 for collecting characteristics of the contact sheet coating of the charging terminal seat according to the predetermined performance evaluation strategy to obtain coating characteristic information, and analyzing the coating characteristic information to obtain a contact performance index;
[0057] a heat dissipation performance index obtaining module 30, the heat dissipation performance index obtaining module 30 being configured to dynamically monitor the charging control state of the charging terminal block according to the predetermined performance evaluation strategy, obtain a charging control record, and analyze the charging control record to obtain a heat dissipation performance index;
[0058] an anti-corrosion performance index obtaining module 40, configured to analyze the charging environment information in the charging control record according to the predetermined performance evaluation strategy to obtain an anti-corrosion performance index;
[0059] The comprehensive performance index obtaining module 50 is used to perform weighted calculation on the contact performance index, the heat dissipation performance index and the heat dissipation performance index using the coefficient of variation principle to obtain the comprehensive performance index of the charging terminal seat.
[0060] The following describes the specific configuration of the contact performance index acquisition module 20. The module further includes a connection task management module, which is used for task registration, task allocation, and task execution. The module also provides request and response management for the start / stop task registration for the add, delete, modify, and query port, the start / stop port, and the data source interface.
[0061] The specific configuration of the contact performance index acquisition module 20 will be described in detail below. The contact performance index acquisition module 20 may further include: a connection task management module, which is used for task registration, task allocation, and task execution; and based on the task management module, provides request and response management corresponding to the addition, deletion, modification, and query port, the start and stop port, and the start and stop task registration of the data source interface.
[0062] The specific configuration of the heat dissipation performance index acquisition module 30 will be described in detail below. The heat dissipation performance index acquisition module 30 may further include: communicating with the task management module and the configuration management module, wherein the configuration management module supports calling the add, delete, modify, and query port, the start and stop port, and the data source interface; and wherein the configuration management module supports acquiring the data source by the newly added model and synchronizing it with any one or more corresponding algorithm model modules among the noise reduction convergence model, the normal event behavior recognition module, the feature matching model, the URL baseline filtering model, and the vulnerability scanning detection model.
[0063] The specific configuration of heat dissipation performance index acquisition module 30 will be described in detail below. Heat dissipation performance index acquisition module 30 further includes: obtaining basic management data of the vulnerability scanning detection model, including the model ID, model category, and model name; obtaining the model creation time, model update time, and model status; and generating a model management process based on the model creation time, model update time, model status, and the basic management data.
[0064] The specific configuration of the anti-corrosion performance index acquisition module 40 will be described in detail below. The anti-corrosion performance index acquisition module 40 further includes: on the model operation management platform, calling the start and stop port to perform start and stop operation management; on the model operation management platform, calling the addition, deletion, modification and query port to perform addition, deletion, modification and query operation management; on the model operation management platform, in conjunction with the model management process, obtaining the data source, and the data source interface is used to import the data source into any one or more corresponding algorithm model modules among the noise reduction convergence model, normal event behavior recognition module, feature matching model, URL baseline filtering model, and vulnerability scanning detection model.
[0065] The specific configuration of the anti-corrosion performance index acquisition module 40 will be described in detail below. The anti-corrosion performance index acquisition module 40 may further include: establishing a vulnerability scanning detection model based on a machine learning algorithm, the vulnerability scanning detection model including a quantitative feature recognition scanning layer for event types and a trigger frequency feature recognition scanning layer; and performing security triage based on the abnormal risk markers to identify high-confidence attack behaviors based on the vulnerability scanning detection model.
[0066] The following describes in detail the specific configuration of the comprehensive performance index obtaining module 50. The comprehensive performance index obtaining module 50 further includes: reading a predetermined performance optimization strategy; screening the predetermined multi-dimensional performance according to the predetermined performance optimization strategy to obtain a target performance to be optimized; and performing targeted optimization on the target performance to be optimized.
[0067] A performance optimization system for a charging terminal seat provided in an embodiment of the present invention can execute a performance optimization method for a charging terminal seat provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.
[0068] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present invention.
[0069] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application shall be included within the scope of protection of this application.
Claims
1. A performance optimization method for a charging terminal seat, characterized in that: include: Reading a predetermined performance evaluation strategy, wherein the predetermined performance evaluation strategy refers to a strategy for evaluating predetermined multi-dimensional performance of the charging terminal seat, wherein the predetermined multi-dimensional performance includes at least contact performance, heat dissipation performance, and anti-corrosion performance; Collecting characteristics of the contact sheet coating of the charging terminal seat according to the predetermined performance evaluation strategy to obtain coating characteristic information, and analyzing the coating characteristic information to obtain a contact performance index; Dynamically monitoring the charging control state of the charging terminal block according to the predetermined performance evaluation strategy to obtain a charging control record, and analyzing the charging control record to obtain a heat dissipation performance index; analyzing the charging environment information in the charging control record according to the predetermined performance evaluation strategy to obtain an anti-corrosion performance index; The contact performance index, the heat dissipation performance index and the heat dissipation performance index are weightedly calculated using the coefficient of variation principle to obtain a comprehensive performance index of the charging terminal seat.
2. The performance optimization method of a charging terminal seat according to claim 1, characterized in that: include: The coating characteristic information includes a plurality of coating components with matching ratio identification; Traversing the plurality of coating components with matching ratio identifiers in a coating database to obtain a target matching coating; Retrieving a historical contact resistance record of the target matching coating, and matching a target application duration corresponding to the target contact resistance in the historical contact resistance record; The contact coefficient is read, and the contact performance index is obtained according to the contact coefficient and the target application time.
3. The performance optimization method of a charging terminal seat according to claim 2, characterized in that: include: Obtaining a first coating layer from the coating database, wherein first coating layer information of the first coating layer includes a plurality of first coating components with ratio identifiers; Comparing the plurality of coating components with matching ratio identifiers with the plurality of first coating components with matching ratio identifiers based on the Tanimoto similarity coefficient algorithm principle to obtain a first coating similarity; When the similarity of the first coating reaches a similarity limit, the first coating is recorded as the target matching coating.
4. The performance optimization method of a charging terminal seat according to claim 1, characterized in that: include: reading predetermined charge control constraints; filtering the charging control record based on the predetermined charging control constraint to obtain target monitoring information, the target monitoring information including a plurality of monitoring temperatures; obtaining a temperature difference average according to a first temperature difference between a first monitored temperature and a predetermined temperature threshold, wherein the first monitored temperature is any one of the plurality of monitored temperatures; The heat dissipation coefficient is read, and the heat dissipation performance index is obtained according to the heat dissipation coefficient and the temperature difference.
5. The performance optimization method of a charging terminal seat according to claim 4, characterized in that: The predetermined charging control constraints consist of predetermined thresholds of predetermined charging control indicators, including charging voltage, charging current, and charging efficiency.
6. The performance optimization method of a charging terminal seat according to claim 1, characterized in that: include: Extracting a first charging record from the charging control record, where the first charging record includes first charging environment information, first charging control information, and first charging monitoring information; Introducing an environmental loss analysis function to analyze the first charging environment information to obtain a first environmental loss index; Comparing the first charging control information with the first charging monitoring information to obtain a first actual loss index; An anti-corrosion coefficient is read, and a weighted calculation is performed on a first loss deviation between the first environmental loss index and the first actual loss index according to the anti-corrosion coefficient to obtain the anti-corrosion performance index.
7. A performance optimization method for a charging terminal seat according to claim 6, characterized in that: The expression of the environmental loss analysis function is as follows: Wherein, f(x) refers to the first environmental loss index of the first charging environment information x, x k It refers to the kth environmental indicator parameter in the first charging environment information x. The first charging environment information x includes K environmental indicator parameters. k Refers to the loss coefficient of the kth environmental indicator parameter.
8. The performance optimization method of a charging terminal seat according to claim 1, characterized in that: Also includes: Read the predetermined performance optimization strategy; The predetermined multi-dimensional performance is screened according to the predetermined performance optimization strategy to obtain the target performance to be optimized, and the target performance to be optimized is optimized in a targeted manner.
9. A performance optimization system for a charging terminal seat, characterized in that: The system is used to implement the performance optimization method of a charging terminal seat according to any one of claims 1 to 8, and the system includes: A predetermined performance evaluation strategy reading module, the predetermined performance evaluation strategy reading module is used to read a predetermined performance evaluation strategy, the predetermined performance evaluation strategy refers to a strategy for evaluating predetermined multi-dimensional performance of the charging terminal block, wherein the predetermined multi-dimensional performance includes at least contact performance, heat dissipation performance, and anti-corrosion performance; a contact performance index obtaining module, the contact performance index obtaining module being used to collect characteristics of the contact sheet coating of the charging terminal seat according to the predetermined performance evaluation strategy to obtain coating characteristic information, and to analyze the coating characteristic information to obtain a contact performance index; a heat dissipation performance index obtaining module, the heat dissipation performance index obtaining module being used to dynamically monitor the charging control state of the charging terminal block according to the predetermined performance evaluation strategy, obtain a charging control record, and analyze the charging control record to obtain a heat dissipation performance index; an anti-corrosion performance index obtaining module, configured to analyze the charging environment information in the charging control record according to the predetermined performance evaluation strategy to obtain an anti-corrosion performance index; A comprehensive performance index acquisition module is used to perform weighted calculation on the contact performance index, the heat dissipation performance index and the heat dissipation performance index using the coefficient of variation principle to obtain the comprehensive performance index of the charging terminal seat.