Performance index design method and system based on function model machine

Abstract

The invention discloses a performance index design method and system based on a function prototype, and belongs to the technical field of index design, and the method specifically comprises the steps: dividing the function prototype into function modules according to a preliminary design scheme of a product, building a preliminary theoretical model of the function prototype, and carrying out the experimental test of the function prototype, the method comprises the following steps: acquiring key performance data of a functional model machine, performing processing and error analysis on the acquired key performance data of the functional model machine, optimizing a preliminary theoretical model of the functional model machine, and designing final performance indexes of the functional model machine according to the optimized functional model machine model and experimental data. The function model machine is further verified and fed back according to the performance indexes, and the test indexes for different functions and application scenes can be automatically and standardly generated through the performance index design method based on the function model machine.

Description

Technical Field

[0001] The invention belongs to the technical field of index design, and in particular to a performance index design method and system based on a functional prototype. Background Art

[0002] In the early stages of product development, the design and testing of functional prototypes is an important step. A functional prototype is a functional model manufactured according to the preliminary design plan. It is usually used to verify the feasibility of the design, the performance and the matching of user needs. Through the functional prototype, the R&D team can intuitively discover potential problems in the design and evaluate its technical risks and room for improvement in advance. The functional prototype not only provides an important basis for subsequent product development, but also effectively shortens the R&D cycle and reduces unnecessary rework costs.

[0003] With the increasing complexity and customization requirements of modern industrial products, the testing of functional prototypes no longer relies solely on traditional experience and judgment. The systematization and standardization of performance index design have become the key to ensure product quality and market competitiveness. Performance index refers to the performance of a product under a specific function, which includes multi-dimensional measurements such as speed, accuracy, stability, energy consumption, and durability. The design and testing of these indicators are directly related to product reliability, user experience, and economic benefits.

[0004] Traditional performance indicator design methods mainly rely on engineers' experience and historical data, and have the following limitations: 1) High subjectivity: Many performance indicators are based on engineers' subjective judgment and lack unified standards, resulting in test results that are not objective and have poor comparability; 2) Difficult to cope with complex scenarios: Modern product design is becoming more and more complex, involving multiple disciplines and technical fields. Traditional methods are difficult to cope with these multi-dimensional and multi-level performance evaluation requirements; 3) High time and cost consumption: The process of manually designing and testing performance indicators is cumbersome and time-consuming, especially for highly complex systems and functional prototypes, and the efficiency is low.

[0005] Therefore, proposing a systematic and scientific performance indicator design method based on functional prototypes is of great significance for improving product R&D efficiency and ensuring product quality. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention proposes a performance indicator design method and system based on functional prototypes, which overcomes the design errors caused by reliance on theoretical models and simulation software in the prior art. By constructing a functional prototype and combining actual test data, performance optimization design is carried out, thereby improving the reliability and efficiency of the product.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A performance indicator design method based on a functional prototype, comprising:

[0009] Divide the functional prototype into functional modules according to the preliminary design plan of the product;

[0010] Establish a preliminary theoretical model of the functional prototype;

[0011] Conduct experimental tests on functional prototypes and collect key performance data of functional prototypes;

[0012] Process and analyze the key performance data of the functional prototype, and optimize the preliminary theoretical model of the functional prototype;

[0013] Design the final performance indicators of the functional prototype based on the optimized theoretical model and experimental data of the functional prototype;

[0014] Further verification and feedback of the functional prototype is carried out according to the performance indicators.

[0015] Specifically, the establishment of a preliminary theoretical model of a functional prototype includes:

[0016] Identify the key functional modules of the functional prototype and obtain the key parameters of each module, including: input parameters, output parameters and intermediate state parameters;

[0017] According to the key parameters of each module, establish a preliminary theoretical model of the functional prototype;

[0018] After the preliminary theoretical model of the functional prototype is established, it is verified through simulation experiments.

[0019] Specifically, the experimental test of the functional prototype and the collection of key performance data of the functional prototype include:

[0020] Build a test environment for the functional prototype, including the following elements: power supply equipment, environmental control equipment, and load simulation device;

[0021] Select appropriate test equipment;

[0022] Design different experimental variables to make the functional prototype operate under various working conditions;

[0023] After the experiment begins, key performance data of the functional prototype under different working conditions are collected in real time, including: voltage, current, power, efficiency and temperature rise;

[0024] The experimental data is recorded in real time for subsequent analysis, including voltage and current waveforms, power loss and efficiency change curves, and temperature change trends.

[0025] Specifically, the processing and error analysis of the collected key performance data of the functional prototype and the optimization of the preliminary theoretical model of the functional prototype include:

[0026] Preprocess the collected key performance data of the functional prototype, including: removing noise and abnormal data;

[0027] Perform error calculation on the key performance data of the preprocessed functional prototype, and calculate the relative error △ and absolute error ε of the key performance data of the functional prototype;

[0028] According to the obtained relative error and absolute error, the average error and standard deviation of the key performance data of the functional prototype are calculated. The calculation formula is:

[0029]

[0030] in, represents the average error of N experimental tests, ψ represents the standard deviation of N experimental tests, N represents the number of experimental tests, △ j Represents the relative error of the key performance data of the functional prototype tested in the jth experiment;

[0031] Analyze the errors and identify the sources of errors, including: measurement errors, model errors, and environmental errors;

[0032] Based on the results of the error analysis, the inaccurate parts in the theoretical model are identified and corrected, and the corrected functional prototype theoretical model is verified again through experiments.

[0033] Specifically, the final performance index of the functional prototype is designed according to the theoretical model and experimental data of the optimized functional prototype, and the final performance index includes: a dynamic response performance index and an environmental adaptability performance index.

[0034] Specifically, the dynamic response performance indicators include:

[0035] The dynamic response performance index is used to evaluate the stability and reliability of the functional prototype under transient conditions, including: load transient response, input voltage transient response and switching frequency response. The specific formulas for load transient response and switching frequency response are:

[0036]

[0037] Where, ΔV out Denotes the load transient response, ΔI load represents the change in load current, L represents the inductance, C represents the capacitance of the functional prototype, t res represents the switching frequency response, f s Indicates the switching frequency;

[0038] Environmental adaptability performance indicators, including:

[0039] Environmental adaptability performance indicators are used to evaluate the stability and reliability of functional prototypes in different environments, including: temperature rise and thermal balance point, derating curve and humidity impact. The specific formula is:

[0040] P loss =hA(T system -T ambient ), P out (T) = P out (T0)×(1-κ×(T-T0)),

[0041] R humi =R1×(1-δH),

[0042] Among them, P loss represents the temperature rise and thermal equilibrium point, i.e., the power loss of the functional prototype, h represents the thermal conductivity, A represents the heat dissipation area, T system represents the steady-state temperature of the functional prototype, T ambient Indicates the ambient temperature, P out (T) represents the derating curve, that is, the output power at the current temperature, P out (T0) represents the output power at the reference temperature T0, T represents the current temperature, T0 represents the reference temperature, κ represents the derating factor, R humi It represents the influence of humidity, that is, the resistance under the influence of humidity, R1 represents the resistance under normal conditions, δ represents the humidity coefficient, and H represents the relative humidity.

[0043] A performance index design system based on a functional prototype, used to implement the performance index design method based on a functional prototype, comprising: a function division module, a theoretical model establishment module, an experimental test module, an error analysis module, an index design module and a verification feedback module;

[0044] The function division module is used to divide the functional prototype into functional modules according to the preliminary design plan of the product;

[0045] The theoretical model building module is used to build a preliminary theoretical model of the functional prototype;

[0046] The experimental test module is used to perform experimental tests on the functional prototype and collect key performance data of the functional prototype;

[0047] The error analysis module is used to process and analyze the errors of the collected key performance data of the functional prototype and optimize the preliminary theoretical model of the functional prototype;

[0048] The index design module is used to design the final performance index of the functional prototype according to the optimized theoretical model and experimental data of the functional prototype;

[0049] The verification and feedback module is used to further verify and provide feedback on the functional prototype according to the performance indicators.

[0050] Specifically, the error analysis module includes a data processing unit, an error calculation unit, an error analysis unit and a model optimization unit:

[0051] The data processing unit is used to pre-process the collected key performance data of the functional prototype, including: removing noise and abnormal data;

[0052] The error calculation unit is used to perform error calculation on the preprocessed key performance data of the functional prototype, including relative error, absolute error, average error and standard deviation;

[0053] The error analysis unit is used to analyze the error and identify the source of the error;

[0054] The model optimization unit is used to identify inaccurate parts in the theoretical model according to the results of the error analysis, and to perform corrections and optimizations.

[0055] Specifically, the indicator design module includes an indicator design unit and an indicator calculation unit:

[0056] The index design unit is used to design the final performance index of the functional prototype;

[0057] The index calculation unit is used to calculate the final performance index of the functional prototype.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. The present invention proposes a performance indicator design method based on a functional prototype. Through the prototype configuration method of the functional prototype performance indicator design, test indicators for different functions and application scenarios can be automatically and standardizedly generated.

[0060] 2. The present invention proposes a performance indicator design method based on functional prototypes. In the early stage of product development, through functional prototypes and perfect performance indicator design methods, potential design defects can be discovered in advance, reducing the modification and rework costs caused by imperfect design in the later stage, thereby reducing the overall R&D cost.

[0061] 3. The present invention proposes a performance indicator design method based on functional prototypes, so that different departments such as R&D, testing, and marketing can reach a consensus on the functions and performance requirements of the product, which is conducive to cross-departmental collaboration and communication, improves the overall work efficiency of the team, and can accurately capture the key needs of users in actual operations, such as response time, comfort of use, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 A flow chart of a performance indicator design method based on a functional prototype provided by the present invention;

[0063] Figure 2 A flow chart of experimental testing of a functional prototype provided by the present invention;

[0064] Figure 3 Functional prototype error analysis flow chart provided by the present invention;

[0065] Figure 4 A performance indicator design system architecture diagram based on a functional prototype provided by the present invention. DETAILED DESCRIPTION

[0066] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, in the description of the present invention, it should be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate the orientation or position relationship based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "No. 1", "No. 2" and "No. 3" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The present invention is further explained below in conjunction with specific embodiments.

[0067] Example 1

[0068] See also Figure 1-Figure 3 , an embodiment provided by the present invention: a performance indicator design method based on a functional prototype, comprising the following specific steps:

[0069] Step S1: Divide the functional prototype into several functional modules according to the preliminary design plan of the product;

[0070] Each module corresponds to a different functional area. For each functional module, a corresponding functional tree structure is established to describe the relationship and interaction between modules.

[0071] Step S2: Establish a preliminary theoretical model of the functional prototype;

[0072] The specific steps of step S2 are:

[0073] Step S201: Identify key functional modules of the functional prototype and obtain key parameters of each module, including input parameters, output parameters and intermediate state parameters;

[0074] Input parameters: These are external variables that directly affect system performance, such as input voltage (Vin ), input current (I in ), temperature (T), etc. Output parameters: These are the performance targets that the system needs to achieve, such as output voltage (V out ), output power (P out ), power factor (P F ), etc. Intermediate state parameters: key intermediate variables when the system is running, such as the inductor current (I L ), capacitor voltage (V C )wait;

[0075] Step S202: Establish a preliminary theoretical model of the functional prototype based on the key parameters of each module. The specific formula is:

[0076]

[0077] Where V(t) represents the voltage applied to the functional prototype at time t, L represents the inductance of the functional prototype, I(t) represents the current in the functional prototype circuit at time t, t represents the time, R represents the resistance of the functional prototype, C represents the capacitance of the functional prototype, V out Represents the output voltage of the functional prototype, V in represents the input voltage of the functional prototype, D represents the duty cycle, a key parameter for controlling voltage conversion in a switching power supply, and I L represents the inductor current of the functional prototype, which is usually used for energy storage and transfer in switching power supplies, L represents the inductance, R(T) represents the resistance of the functional prototype when the temperature is T, R0 represents the resistance of the functional prototype at the reference temperature, T0 represents the reference temperature, α represents the temperature coefficient of the functional prototype material, which describes the rate at which the resistance changes with temperature, and T represents the temperature;

[0078] The first formula in the preliminary theoretical model of the functional prototype is the transient response in the RLC circuit, which describes the transient behavior of the functional prototype. It is the transient voltage and current changes under the combined action of capacitance, inductance and resistance. Based on KVL and KCL, the second-order differential equation of the RLC circuit can be derived. Solving this equation can obtain the response characteristics of the circuit under different input conditions. The second and third formulas in the preliminary theoretical model of the functional prototype are the switching power supply (SMPS) model, which is established using the state-space averaging method (State-Space Averaging Method) and is a voltage and current equation. The fourth formula in the preliminary theoretical model of the functional prototype is the environmental impact model. In traditional theoretical models, environmental factors such as temperature and humidity are usually simplified or ignored. Considering the impact of factors such as temperature on performance, the relationship between the resistance of the conductor and its change with temperature can be described by the environmental impact model formula.

[0079] When determining the preliminary theoretical model, more complex multivariate analysis and the introduction of environmental factors significantly improve the accuracy of the model compared with the prior art. The prior art usually ignores the nonlinear factors and environmental influences in the system, resulting in large deviations in design performance. The present invention comprehensively considers these factors to make the preliminary theoretical model more in line with actual working conditions and lays a more reliable foundation for subsequent performance optimization.

[0080] Step S203: After the preliminary theoretical model of the functional prototype is established, it is verified through simulation experiments.

[0081] Step S3: Performing experimental tests on the functional prototype and collecting key performance data of the functional prototype;

[0082] The specific formula of step S3 is:

[0083] Step S301: Building a test environment for a functional prototype, including the following elements: power supply equipment, environmental control equipment, and load simulation equipment;

[0084] Power supply equipment is used to provide a stable voltage and current source and can simulate different power supply conditions. Environmental control equipment such as temperature control boxes are used to simulate the operating status under different temperature and humidity conditions. Load simulation devices such as electronic loads are used to simulate the actual load conditions of the system. The load can be in various modes such as constant resistance, constant current, and constant power.

[0085] Step S302: Select appropriate test equipment to ensure measurement accuracy;

[0086] The test equipment includes: Oscilloscope: used to measure the waveform of voltage and current, especially the transient response under dynamic conditions; Power analyzer: used to measure the input and output power, efficiency and power factor; Temperature sensor: measures the temperature rise of the device to evaluate its thermal management capability; High-speed data acquisition system: used to collect multi-parameter data in real time and perform analysis and processing;

[0087] Step S303: designing different experimental variables to ensure that the functional prototype can operate under various working conditions;

[0088] Common experimental variables include: Input voltage change: By changing the input voltage to test the performance of the system in different voltage ranges, such as input voltage V in The range of voltage changes from 90V to 260V; Load changes: Use an adjustable electronic load to simulate the working state under different load conditions, such as from light load to full load; Ambient temperature changes: Use temperature control equipment to place the prototype in different temperature environments, the temperature range can be from -40℃ to 85℃;

[0089] Step S304: After the experiment starts, various key performance data of the functional prototype under different working conditions are collected in real time, including: voltage and current, power and efficiency, and temperature rise;

[0090] In this embodiment, voltage and current: measuring input voltage V in 、Input current I in , output voltage V out , output current I out ; Power and efficiency: Measure the input power P with a power analyzer in , output power P out , and calculate the system efficiency η, the calculation formula is: Among them, P in =V in ×I in , P out =V out ×I out ; Temperature rise: Use a temperature sensor to measure the temperature of key components of the functional prototype and calculate the temperature rise value. The specific formula is: △T=T mesured ×T ambient , where T mesured represents the measured temperature of the functional prototype component, T ambient Indicates the ambient temperature;

[0091] Step S305: record the experimental data in real time for subsequent analysis. The collected data should include data under transient response and steady-state conditions to ensure a comprehensive understanding of the dynamic and static performance of the functional prototype. Common recorded data include: voltage and current waveforms, power loss and efficiency change curves, and temperature change trends.

[0092] Step S4: Processing and error analysis of the collected key performance data of the functional prototype to optimize the preliminary theoretical model of the functional prototype;

[0093] The specific steps of step S4 are:

[0094] Step S401: preprocessing the collected key performance data of the functional prototype, including: removing noise and abnormal data;

[0095] Step S402: performing error calculation on the preprocessed key performance data of the functional prototype, and calculating the relative error and absolute error of the key performance data of the functional prototype. The specific formula is:

[0096]

[0097] Among them, △ represents the relative error of the key performance data of the functional prototype, V measured Represents the experimentally measured functional prototype voltage, V theroyrepresents the voltage obtained according to the preliminary theoretical model of the functional prototype, and ε represents the absolute error of the key performance data of the functional prototype;

[0098] Step S403: Calculate the average error and standard deviation of the key performance data of the functional prototype according to the obtained relative error and absolute error. The calculation formula is:

[0099]

[0100] in, represents the average error of N experimental tests, ψ represents the standard deviation of N experimental tests, N represents the number of experimental tests, △ j Represents the relative error of the key performance data of the functional prototype tested in the jth experiment;

[0101] The standard deviation is a measure of the degree of dispersion of the error. The smaller the standard deviation, the smaller the dispersion of the error and the higher the stability.

[0102] Step S404: Analyze the error and identify the source of the error, including: measurement error, model error and environmental error;

[0103] Measurement error: caused by insufficient instrument accuracy or experimental environment interference; Model error: The theoretical model does not fully describe the actual system, especially for nonlinear systems, the model may be more approximate; Environmental error: such as component performance fluctuations caused by temperature changes;

[0104] Step S405: According to the results of the error analysis, inaccurate parts in the theoretical model are identified and corrected, and the corrected functional prototype theoretical model is verified again through experiments.

[0105] Step S5: designing the final performance index of the functional prototype according to the optimized theoretical model and experimental data of the functional prototype;

[0106] The specific steps of step S5 are:

[0107] Step S501: designing the final performance index of the functional prototype, including: dynamic response performance index and environmental adaptability performance index;

[0108] Step S502: The dynamic response performance index is used to evaluate the stability and reliability of the functional prototype under transient conditions, including: load transient response, input voltage transient response and switching frequency response. The specific formulas for load transient response and switching frequency response are:

[0109]

[0110] Where, ΔV out Denotes the load transient response, ΔI loadIndicates the change in load current, t res represents the switching frequency response, f s Indicates the switching frequency;

[0111] Input voltage transient response: The stability of the system when the input voltage changes rapidly. For example, when the input voltage rises from 90V to 260V in a short period of time, the output voltage should be able to remain stable and its fluctuation should be within the design allowable range.

[0112] In this embodiment, the principle of the load transient response formula is based on the energy storage characteristics of inductance and capacitance. Inductance (L) and capacitance (C) jointly determine the dynamic response speed of the system and the change of transient voltage. Inductance generates back electromotive force when current changes, and capacitance stores or releases charge when voltage changes. When the load changes suddenly, the characteristics of inductance and capacitance jointly determine the temporary drop degree of output voltage; the switching frequency response formula describes the relationship between the dynamic response time of the system and the switching frequency. The higher the switching frequency in the switching power supply system, the stronger the dynamic response capability of the system. The formula is based on the working principle of the switching element in the circuit. A high switching frequency means more switching times per second, so the functional prototype can adjust the voltage and current in a shorter time. By increasing the switching frequency, a faster load response time can be achieved. However, too high a frequency will also lead to an increase in switching losses, thereby affecting the efficiency of the functional prototype.

[0113] Step S503: The environmental adaptability performance index is used to evaluate the stability and reliability of the functional prototype in different environments, including: temperature rise and thermal balance point, derating curve and humidity influence. The specific formula is:

[0114] P loss =hA(T system -T ambient ), P out (T) = P out (T0)×(1-κ×(T-T0)),

[0115] R humi =R1×(1-δH),

[0116] Among them, P loss represents the temperature rise and thermal equilibrium point, i.e., the power loss of the functional prototype, h represents the thermal conductivity, A represents the heat dissipation area, T system represents the steady-state temperature of the functional prototype, T ambient Indicates the ambient temperature, P out (T) represents the derating curve, that is, the output power at the current temperature, P out (T0) represents the output power at the reference temperature T0, κ represents the derating factor, R humiIt represents the influence of humidity, that is, the resistance under the influence of humidity, R1 represents the resistance under normal conditions, δ represents the humidity coefficient, and H represents the relative humidity.

[0117] In this embodiment, the calculation of temperature rise and thermal equilibrium point is based on the law of heat conduction. The law of heat conduction shows that when the system is running, a certain power loss (P loss ), and transfer these losses to the environment in the form of heat. When the steady-state temperature reaches the thermal equilibrium point, the heat generated by the system is equal to the heat dissipated to the environment, and the temperature will no longer rise. The temperature rise and thermal equilibrium point formula can be used to accurately predict the temperature rise of the system and better evaluate the performance of the functional prototype. The derating curve describes the trend of system performance (especially output power) changing with temperature. Generally speaking, as the temperature rises, the output power of the system will gradually decrease. The reason is that high temperature will cause changes in component characteristics (such as increased conductor resistance and degradation of semiconductor material performance). The impact of humidity is mainly manifested in the impact of ambient humidity on the insulation performance and resistance characteristics of internal components of the system. A high humidity environment will cause the insulating material to absorb moisture, thereby reducing the insulation performance and increasing leakage current. At the same time, humidity may cause surface oxidation of the conductive material and increase resistance. The formula for humidity influence can quantify the impact of humidity on resistance and insulation performance, and evaluate the impact of humidity on the performance of the functional prototype.

[0118] Step S6: Further prototype verification of the performance indicators is performed to ensure that the design requirements can be met under various working conditions. According to the verification results, if the performance indicators do not meet the requirements, the model parameters are readjusted and optimized until the expected design goals are achieved.

[0119] Furthermore, the embodiments of the present application can also be based on the state jump principle. When designing performance indicator parameters, a certain parameter can be configured to suddenly jump at a certain moment based on the above model, and then the state jump data can be obtained through simulation to determine the performance change range of the final prototype caused by the state jump. Then, the above theoretical model can be corrected based on the performance change range caused by the state jump data, thereby optimizing the theoretical model.

[0120] For example, by suddenly increasing V(t) at a certain moment, theoretically, the prototype will generate severe heat due to high voltage, and when V(t) is within the operating range of the device, increasing V(t) will cause the heat to change exponentially. For normal equipment, its change curve can be obtained through calibration. Therefore, when V(t) is increased to a larger value within the operating range at a certain moment, if its indicator change curve does not conform to the calibrated curve, for example, the actual curve has a higher rate of change than the calibrated curve, then it means that V(t) has a higher impact on performance than the theory. At this time, the impact weight of V(t) can be increased so that the difference between the final actual change curve and the calibrated change curve is less than a certain threshold. In this way, the theoretical model is updated and the overall configuration accuracy is improved.

[0121] Example 2

[0122] See also Figure 4 , another embodiment provided by the present invention: a performance index design system based on a functional prototype, comprising: a function division module, a theoretical model establishment module, an experimental test module, an error analysis module, an index design module and a verification feedback module;

[0123] The function division module is used to divide the functional prototype into functional modules according to the preliminary design plan of the product;

[0124] The theoretical model building module is used to build a preliminary theoretical model of the functional prototype;

[0125] The experimental test module is used to perform experimental tests on the functional prototype and collect key performance data of the functional prototype;

[0126] The error analysis module is used to process and analyze the errors of the collected key performance data of the functional prototype and optimize the preliminary theoretical model of the functional prototype;

[0127] The index design module is used to design the final performance index of the functional prototype according to the optimized theoretical model and experimental data of the functional prototype;

[0128] The verification and feedback module is used to further verify and provide feedback on the functional prototype according to the performance indicators.

[0129] Error analysis module, including data processing unit, error calculation unit, error analysis unit and model optimization unit:

[0130] The data processing unit is used to pre-process the collected key performance data of the functional prototype, including: removing noise and abnormal data;

[0131] The error calculation unit is used to perform error calculation on the preprocessed key performance data of the functional prototype, including relative error, absolute error, average error and standard deviation;

[0132] The error analysis unit is used to analyze the error and identify the source of the error;

[0133] The model optimization unit is used to identify inaccurate parts in the theoretical model according to the results of the error analysis, and to perform corrections and optimizations.

[0134] The indicator design module includes an indicator design unit and an indicator calculation unit:

[0135] The index design unit is used to design the final performance index of the functional prototype;

[0136] The index calculation unit is used to calculate the final performance index of the functional prototype.

[0137] In addition, the parts of the above-mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.

[0138] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A performance index design method based on functional prototype, characterized in that: include: Divide the functional prototype into functional modules according to the preliminary design plan of the product; Establish a preliminary theoretical model of the functional prototype; Conduct experimental tests on functional prototypes and collect key performance data of functional prototypes; Process and analyze the key performance data of the functional prototype, and optimize the preliminary theoretical model of the functional prototype; Design the final performance indicators of the functional prototype based on the optimized theoretical model and experimental data of the functional prototype; Further verification and feedback of the functional prototype is carried out according to the performance indicators.

2. A performance indicator design method based on functional prototype as claimed in claim 1, characterized in that: The establishment of a preliminary theoretical model of a functional prototype includes: Identify the key functional modules of the functional prototype and obtain the key parameters of each module, including: input parameters, output parameters and intermediate state parameters; According to the key parameters of each module, establish a preliminary theoretical model of the functional prototype; After the preliminary theoretical model of the functional prototype is established, it is verified through simulation experiments.

3. A performance indicator design method based on functional prototype as claimed in claim 1, characterized in that: The experimental test of the functional prototype is performed to collect key performance data of the functional prototype, including: Build a test environment for the functional prototype, including the following elements: power supply equipment, environmental control equipment, and load simulation device; Select appropriate test equipment; Design different experimental variables to make the functional prototype operate under various working conditions; After the experiment begins, key performance data of the functional prototype under different working conditions are collected in real time, including: voltage, current, power, efficiency and temperature rise; The experimental data is recorded in real time for subsequent analysis, including voltage and current waveforms, power loss and efficiency change curves, and temperature change trends.

4. A performance indicator design method based on functional prototype as claimed in claim 1, characterized in that: The processing and error analysis of the collected key performance data of the functional prototype and the optimization of the preliminary theoretical model of the functional prototype include: Preprocess the collected key performance data of the functional prototype, including: removing noise and abnormal data; Perform error calculation on the key performance data of the preprocessed functional prototype, and calculate the relative error △ and absolute error ε of the key performance data of the functional prototype; According to the obtained relative error and absolute error, the average error and standard deviation of the key performance data of the functional prototype are calculated. The calculation formula is: in, represents the average error of N experimental tests, ψ represents the standard deviation of N experimental tests, N represents the number of experimental tests, △ j Represents the relative error of the key performance data of the functional prototype tested in the jth experiment; Analyze the errors and identify the sources of errors, including: measurement errors, model errors, and environmental errors; Based on the results of the error analysis, the inaccurate parts in the theoretical model are identified and corrected, and the corrected functional prototype theoretical model is verified again through experiments.

5. The performance index design method based on functional prototype according to claim 1, characterized in that: The final performance index of the functional prototype is designed based on the theoretical model and experimental data of the optimized functional prototype, and the final performance index includes: a dynamic response performance index and an environmental adaptability performance index.

6. A performance index design method based on functional prototype as claimed in claim 5, characterized in that: The dynamic response performance indicators include: The dynamic response performance index is used to evaluate the stability and reliability of the functional prototype under transient conditions, including: load transient response, input voltage transient response and switching frequency response. The specific formulas for load transient response and switching frequency response are: Where, ΔV out Represents the load transient response, ΔI load represents the change in load current, L represents the inductance, C represents the capacitance of the functional prototype, t res represents the switching frequency response, f s Indicates the switching frequency; Environmental adaptability performance indicators, including: Environmental adaptability performance indicators are used to evaluate the stability and reliability of functional prototypes in different environments, including: temperature rise and thermal balance point, derating curve and humidity impact. The specific formula is: P loss =hA(T system -T ambient ),P out (T)=P out (T0)×(1-κ×(T-T0)), R humi =R1×(1-δH), Among them, P loss represents the temperature rise and thermal equilibrium point, i.e., the power loss of the functional prototype, h represents the thermal conductivity, A represents the heat dissipation area, T system represents the steady-state temperature of the functional prototype, T ambient Indicates the ambient temperature, P out (T) represents the derating curve, that is, the output power at the current temperature, P out (T0) represents the output power at the reference temperature T0, T represents the current temperature, T0 represents the reference temperature, κ represents the derating factor, R humi It represents the influence of humidity, that is, the resistance under the influence of humidity, R1 represents the resistance under normal conditions, δ represents the humidity coefficient, and H represents the relative humidity.

7. A performance indicator design system based on a functional prototype, used to implement a performance indicator design method based on a functional prototype according to any one of claims 1 to 6, characterized in that: include: Function division module, theoretical model building module, experimental test module, error analysis module, indicator design module and verification feedback module; The function division module is used to divide the functional prototype into functional modules according to the preliminary design plan of the product; The theoretical model building module is used to build a preliminary theoretical model of the functional prototype; The experimental test module is used to perform experimental tests on the functional prototype and collect key performance data of the functional prototype; The error analysis module is used to process and analyze the errors of the collected key performance data of the functional prototype and optimize the preliminary theoretical model of the functional prototype; The index design module is used to design the final performance index of the functional prototype according to the optimized theoretical model and experimental data of the functional prototype; The verification and feedback module is used to further verify and provide feedback on the functional prototype according to the performance indicators.

8. A performance indicator design system based on functional prototype as claimed in claim 7, characterized in that: The error analysis module includes a data processing unit, an error calculation unit, an error analysis unit and a model optimization unit: The data processing unit is used to pre-process the collected key performance data of the functional prototype, including: removing noise and abnormal data; The error calculation unit is used to perform error calculation on the preprocessed key performance data of the functional prototype, including relative error, absolute error, average error and standard deviation; The error analysis unit is used to analyze the error and identify the source of the error; The model optimization unit is used to identify inaccurate parts in the theoretical model according to the results of the error analysis, and to perform corrections and optimizations.

9. A performance indicator design system based on functional prototype as claimed in claim 8, characterized in that: The indicator design module includes an indicator design unit and an indicator calculation unit: The index design unit is used to design the final performance index of the functional prototype; The index calculation unit is used to calculate the final performance index of the functional prototype.

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