Reliability evaluation method and system of power control device, medium and equipment

Abstract

The invention discloses a reliability evaluation method and system of a power control device, a medium and equipment, and belongs to the technical field of reliability evaluation of power devices. Different physical field factors are fused into physical field models of different physical field types to obtain a corrected physical field model, then the corrected physical field model is coupled to obtain a multi-physical field coupling equation, a composite stress accelerated aging experiment is performed on each board card to be evaluated to obtain a multi-physical field coupling coefficient set, and the multi-physical field coupling coefficient set is used for evaluating the board card to be evaluated. The multi-physics field coupling equation is solved based on the multi-physics field coupling coefficient set, so that the reliability of the power control device is evaluated, the technical problem of inaccurate reliability evaluation of the power control device in the prior art can be solved, and the accuracy of reliability evaluation of the power control device is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of reliability assessment of power devices, and particularly relates to a reliability assessment method, system, medium and device for a power control device. Background Art

[0002] With the continuous popularization and increase of power equipment in the power system, higher requirements are currently put forward for the reliability of power control devices. In the power system, power control devices mainly play the roles of collecting power data, transmitting power data, calculating power data, controlling power equipment, and monitoring power equipment. The reliability of power control devices plays a key role in the continuous and stable operation of the power system.

[0003] In each functional link of the power control device, different types of boards that implement the various functions of the power control device become the research objects for the reliability assessment of the power control device. Currently, most of them evaluate the reliability of the power control device by evaluating the life, state, reliability, etc. of the boards. However, most of the current evaluation techniques for boards are to carry out aging experiments on boards in a single physical field. However, in the actual working conditions of power control devices, the environmental conditions where the boards are located are mostly different. The single physical field evaluation leads to inaccurate reliability evaluation of the boards, and thus inaccurate reliability evaluation of the power control device. Therefore, there is an urgent need for a reliability assessment method, system, medium and device for a power control device to solve the defects of the existing technology. Summary of the Invention

[0004] The present invention aims to provide a reliability assessment method, system, medium and device for a power control device, which can solve the technical problem of inaccurate reliability assessment of power control devices in the existing technology. By fusing physical field factors and constructing a multi-physical field coupling equation, and by solving the multi-physical field coupling equation through a composite stress accelerated aging experiment, the accuracy of the reliability assessment of the power control device is improved.

[0005] To solve the above technical problems, an embodiment of the present invention provides a reliability assessment method for a power control device, including:

[0006] Obtain a plurality of physical field models and a plurality of physical field factors, and perform physical field factor fusion on each of the physical field models according to the physical field factors to obtain a plurality of modified physical field models;

[0007] Construct a multi-physical field coupling equation based on the modified physical field models;

[0008] Obtain a plurality of boards to be evaluated, perform a composite stress accelerated aging experiment on each of the boards to be evaluated, and obtain a multi-physical field coupling coefficient set for each of the boards to be evaluated;

[0009] Solve the multi - physical - field coupling equation according to the multi - physical - field coupling coefficient set of each board to be evaluated, and obtain the reliability evaluation result of the power control device.

[0010] It can be understood that, compared with the prior art, the present invention integrates different physical - field factors into physical - field models of different physical - field types to obtain modified physical - field models, then couples the modified physical - field models to obtain a multi - physical - field coupling equation, conducts a combined - stress accelerated aging experiment on each board to be evaluated to obtain a multi - physical - field coupling coefficient set, and solves the multi - physical - field coupling equation based on the multi - physical - field coupling coefficient set to realize the reliability evaluation of the power control device. By integrating physical - field factors into a single physical - field model and introducing cross - influence, the present invention avoids the limitation of the traditional single - physical - field model that ignores the interaction. Then, multiple modified physical - field models are coupled, so that the multi - physical - field coupling equation can fully reflect the changes of the board under different physical fields and different complex environments; and conducting a combined - stress accelerated aging experiment on multiple boards can more realistically simulate the actual working condition environment of the board, avoid the individual differences of a single board and the one - sidedness of a single - stress experiment, so that the reliability evaluation result of the power control device obtained based on the multi - physical - field coupling coefficient set and the multi - physical - field coupling equation is more in line with the actual working conditions of the power control device, and improves the accuracy of the reliability evaluation of the power control device.

[0011] As a preferred solution, the steps of obtaining a plurality of physical - field models and a plurality of physical - field factors, and performing physical - field factor integration on each physical - field model according to the physical - field factors to obtain a plurality of modified physical - field models specifically include:

[0012] Obtain a plurality of physical - field models, where the physical - field models include: a vibration model, a temperature model, and a humidity model;

[0013] Obtain a plurality of physical - field factors, where the physical - field factors include: a temperature factor and a humidity factor;

[0014] Integrate the temperature factor, the humidity factor, and the elastic - modulus factor of the vibration model, and integrate the temperature factor, the humidity factor, and the plastic - strain factor of the vibration model to obtain a modified vibration model;

[0015] Integrate the humidity factor and the activation - energy factor of the temperature model to obtain a modified temperature model;

[0016] Integrate the temperature factor and the degradation - rate factor of the humidity model to obtain a modified humidity model;

[0017] Take the corrected vibration model, corrected temperature model, and corrected humidity model as the corrected physical field models to obtain several corrected physical field models.

[0018] In this preferred solution, by integrating different physical field factors into a single physical field model and introducing cross-influence, the traditional single physical field model can consider other physical field factors on the basis of the original physical field, so that the corrected physical field model can more accurately reflect the actual working conditions of the board, improving the accuracy of subsequent reliability assessment of the power control device.

[0019] As a preferred solution, constructing a multi-physical field coupling equation based on the corrected physical field model specifically includes:

[0020] Obtain the multi-physical field cooperation coefficient and construct a multi-physical field cooperation effect term according to the multi-physical field cooperation coefficient;

[0021] Construct a vibration degradation term according to the corrected vibration model;

[0022] Construct a temperature degradation term according to the corrected temperature model;

[0023] Construct a humidity degradation term according to the corrected humidity model;

[0024] Construct a multi-physical field coupling equation according to the multi-physical field cooperation effect term, vibration degradation term, temperature degradation term, and humidity degradation term.

[0025] In this preferred solution, the corresponding degradation terms are constructed through the corrected vibration model, corrected temperature model, and corrected humidity model, and adaptive correction is carried out by introducing the multi-physical field cooperation effect term, so that the multi-physical field coupling equation can fully couple different corrected physical field models, and further enables the multi-physical field coupling equation to accurately characterize the changes of the board in different physical fields and different complex environments, thereby improving the accuracy of the reliability assessment of the power control device.

[0026] As a preferred solution, obtain several boards to be evaluated, conduct a combined stress accelerated aging experiment on each board to be evaluated, and obtain the multi-physical field coupling coefficient set of each board to be evaluated, specifically including:

[0027] Obtain several boards to be evaluated and conduct a combined stress accelerated aging experiment on each board to be evaluated;

[0028] Based on the combined stress accelerated aging experiment of each board to be evaluated, obtain the combined stress experiment data of each board to be evaluated;

[0029] Based on the preset coupling coefficient calibration method, the modified physical field model is solved by combining the composite stress experimental data of each board to be evaluated, and a multi-physical field coupling coefficient set of each board to be evaluated is obtained.

[0030] In this preferred solution, by conducting composite stress accelerated aging experiments on multiple boards, the actual working condition environment of the boards can be simulated more realistically, avoiding the individual differences of single boards and the one-sidedness of single stress experiments. Therefore, a more accurate multi-physical field coupling coefficient set can be obtained, making the reliability evaluation results of the power control device obtained subsequently based on the multi-physical field coupling coefficient set and the multi-physical field coupling equation more in line with the actual working conditions of the power control device, and improving the accuracy of the reliability evaluation of the power control device.

[0031] As a preferred solution, the method of solving the modified physical field model by combining the composite stress experimental data of each board to be evaluated to obtain a multi-physical field coupling coefficient set of each board to be evaluated specifically includes:

[0032] Taking the natural logarithm of the modified temperature model to obtain the temperature equation corresponding to the modified temperature model;

[0033] Taking the natural logarithm of the modified humidity model to obtain the humidity equation corresponding to the modified humidity model;

[0034] Taking the natural logarithm of the modified vibration model to obtain the elastic modulus equation and plastic strain equation corresponding to the modified vibration model;

[0035] Substituting the composite stress experimental data of each board to be evaluated into the temperature equation, humidity equation, elastic modulus equation, and plastic strain equation in turn for linear regression solution to obtain a multi-physical field coupling coefficient set of each board to be evaluated.

[0036] In this preferred solution, by taking the natural logarithm of the modified physical field model, the complexity of solving the modified physical field model can be simplified, and accurate solutions of the temperature equation, humidity equation, elastic modulus equation, and plastic strain equation can be achieved through linear regression solution, so as to obtain a more accurate multi-physical field coupling coefficient set and improve the accuracy of the reliability evaluation of the power control device.

[0037] As a preferred solution, the method of solving the multi-physical field coupling equation according to the multi-physical field coupling coefficient set of each board to be evaluated to obtain the reliability evaluation result of the power control device specifically includes:

[0038] Substitute the multi - physical field coupling coefficient sets and composite stress experimental data of each board to be evaluated into the multi - physical field coupling equation for solution, and obtain the accelerated stress health state change curve of each board to be evaluated;

[0039] Obtain the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each board to be evaluated.

[0040] This preferred solution solves the multi - physical field coupling equation through the multi - physical field coupling coefficient sets and composite stress experimental data, can fully consider the actual different complex working condition environments of the boards, improves the accuracy of the accelerated stress health state change curve, and further improves the accuracy of the reliability evaluation of the power control device.

[0041] As a preferred solution, the obtaining the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each board to be evaluated specifically includes:

[0042] Obtain the acceleration factor, and perform a scaling operation on the accelerated stress health state change curve of each board to be evaluated according to the acceleration factor to obtain the normal stress health state change curve of each board to be evaluated;

[0043] Screen all the normal stress health state change curves according to the preset screening indexes to obtain the first normal stress health state change curve;

[0044] Determine the life prediction curve of the power control device according to the first normal stress health state change curve, and use the life prediction curve of the power control device as the reliability evaluation result of the power control device.

[0045] This preferred solution performs a scaling operation on the accelerated stress health state change curve through the acceleration factor, thereby determining the life prediction curve of the power control device, and further obtaining the reliability evaluation result of the power control device. In the form of the acceleration factor, the reliability evaluation result of the power control device can fully consider the actual reliability situation under different stress conditions, thus improving the accuracy of the reliability evaluation of the power control device.

[0046] Correspondingly, an embodiment of the present invention provides a reliability evaluation system for a power control device, including: a physical field factor fusion module, a multi - physical field model coupling module, a multi - physical field coupling coefficient set calculation module, and a power control device reliability evaluation module;

[0047] Among them, the physical field factor fusion module is used to obtain a number of physical field models and a number of physical field factors, and perform physical field factor fusion on each physical field model according to the physical field factors to obtain a number of modified physical field models;

[0048] The multi - physical - field model coupling module is used to construct a multi - physical - field coupling equation based on the corrected physical - field model;

[0049] The multi - physical - field coupling coefficient set calculation module is used to obtain a number of boards to be evaluated, perform a combined - stress accelerated aging experiment on each board to be evaluated, and obtain the multi - physical - field coupling coefficient set of each board to be evaluated;

[0050] The reliability evaluation module of the power control device is used to solve the multi - physical - field coupling equation according to the multi - physical - field coupling coefficient set of each board to be evaluated, and obtain the reliability evaluation result of the power control device.

[0051] It can be understood that, compared with the prior art, by integrating different physical - field factors into physical - field models of different physical - field types in this system, a corrected physical - field model is obtained. Then, the corrected physical - field models are coupled to obtain a multi - physical - field coupling equation. A combined - stress accelerated aging experiment is performed on each board to be evaluated to obtain a multi - physical - field coupling coefficient set, and the multi - physical - field coupling equation is solved based on the multi - physical - field coupling coefficient set to realize the reliability evaluation of the power control device. By integrating physical - field factors into a single physical - field model in this system, cross - influence is introduced, avoiding the limitation of traditional single - physical - field models that ignore interactions. Then, multiple corrected physical - field models are coupled, enabling the multi - physical - field coupling equation to fully reflect the changes of the board under different physical fields and different complex environments; and performing a combined - stress accelerated aging experiment on multiple boards can more realistically simulate the actual working conditions of the boards, avoiding the individual differences of single boards and the one - sidedness of single - stress experiments. Thus, the reliability evaluation result of the power control device obtained based on the multi - physical - field coupling coefficient set and the multi - physical - field coupling equation is more in line with the actual working conditions of the power control device, improving the accuracy of the reliability evaluation of the power control device.

[0052] Correspondingly, an embodiment of the present invention provides a terminal device, including:

[0053] One or more processors;

[0054] A memory, coupled to the processor, for storing one or more programs;

[0055] When the one or more programs are executed by the one or more processors, the one or more processors implement the reliability evaluation method of a power control device as described above.

[0056] Correspondingly, an embodiment of the present invention provides a computer - readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the reliability evaluation method of a power control device as described above. Description of the Drawings

[0057] Figure 1 : Flow chart of steps of a method for evaluating the reliability of a power control device provided in an embodiment of the present invention;

[0058] Figure 2 : Schematic diagram of a multi - physical - field - coupled accelerated stress health state change curve provided in an embodiment of the present invention;

[0059] Figure 3 : Schematic diagram of a multi - physical - field - coupled conventional stress health state change curve provided in an embodiment of the present invention;

[0060] Figure 4 : Schematic diagram of a health state change curve of a single - temperature physical field provided in an embodiment of the present invention;

[0061] Figure 5 : Schematic flow diagram of another method for evaluating the reliability of a power control device provided in an embodiment of the present invention;

[0062] Figure 6 : Schematic diagram of the structure of a reliability evaluation system for a power control device provided in an embodiment of the present invention;

[0063] Among them, 201: Physical field factor fusion module; 202: Multi - physical - field model coupling module; 203: Multi - physical - field coupling coefficient set calculation module; 204: Power control device reliability evaluation module. Detailed Embodiments

[0064] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts fall within the protection scope of the present invention.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above description of the drawings are intended to cover non - exclusive inclusion.

[0066] In the description of the embodiments of the present application, technical terms such as "first" and "second" are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "a plurality of" is more than two, unless otherwise clearly and specifically defined.

[0067] Referring to "embodiments" herein means that the specific features, structures or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The phrase appearing in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0068] In the description of the embodiments of the present application, the term "and / or" is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0069] In the description of the embodiments of the present application, the term "a plurality of" refers to more than two (including two). Similarly, "a plurality of groups" refers to more than two groups (including two groups), and "a plurality of pieces" refers to more than two pieces (including two pieces).

[0070] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installation", "connection", "connection", "fixation", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can also be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0071] Embodiment 1

[0072] To solve the problem of inaccurate reliability evaluation of power control devices in the prior art, please refer to Figure 1 , which is a step flowchart of a method for evaluating the reliability of a power control device provided by an embodiment of the present invention, including steps S101 to S104.

[0073] Step S101: Obtain a plurality of physical field models and a plurality of physical field factors, and perform physical field factor fusion on each of the physical field models according to the physical field factors to obtain a plurality of corrected physical field models.

[0074] In this embodiment, obtaining a plurality of physical field models and a plurality of physical field factors, and performing physical field factor fusion on each of the physical field models according to the physical field factors to obtain a plurality of corrected physical field models, specifically including:

[0075] Obtaining a plurality of physical field models, where the physical field models include: a vibration model, a temperature model, and a humidity model;

[0076] Obtaining a plurality of physical field factors, where the physical field factors include: a temperature factor and a humidity factor;

[0077] Fusing the temperature factor, the humidity factor, and the elastic modulus factor of the vibration model, and fusing the temperature factor, the humidity factor, and the plastic strain factor of the vibration model to obtain a corrected vibration model;

[0078] Fusing the humidity factor with the activation energy factor of the temperature model to obtain a corrected temperature model;

[0079] Fusing the temperature factor with the degradation rate factor of the humidity model to obtain a corrected humidity model;

[0080] Taking the corrected vibration model, the corrected temperature model, and the corrected humidity model as corrected physical field models to obtain a plurality of corrected physical field models.

[0081] In an alternative embodiment, the obtained physical field models include: a vibration model, a temperature model, and a humidity model; wherein, the vibration model is a Coffin-Manson fatigue model based on strain:

[0082]

[0083] In Equation (1), Δε t is the total strain range; Δε el is the elastic strain range; Δε pl is the plastic strain range; σ f ′ is the fatigue strength coefficient; E is the material elastic modulus; ε f ′ is the fatigue plastic coefficient; b is the fatigue strength index; c is the fatigue plastic index; N f is the fatigue life;

[0084] After that, fusing the temperature factor, the humidity factor, and the elastic modulus factor, and fusing the temperature factor, the humidity factor, and the plastic strain factor to obtain a corrected vibration model. The specific fusion is shown in the following formulas (2) and (3):

[0085]

[0086] Δε pl (H) = ε f ′ (2N f ) c ·(1 + γH) (3);

[0087] In equations (2) and (3), T is the temperature, H is the humidity, and T0 is the initial temperature; β is the coupling coefficient, which is used to reflect the influence of humidity on the material properties; Δε pl is the plastic strain range; ε f ′ is the fatigue plastic coefficient; c is the fatigue plastic index; N f is the fatigue life; γ is the coupling coefficient, which is used to reflect the influence of humidity on the material properties; α is the coupling coefficient, which is used to reflect the influence of temperature on the material properties; E0 is the initial elastic modulus of the material;

[0088] The temperature model is the Arrhenius model related to temperature:

[0089]

[0090] In equation (4), M is the degradation amount, R(t) is the degradation rate at temperature T, which is a linear function specifically related to time t, A is a constant, E a is the activation energy corresponding to a certain reaction; k is the Boltzmann constant;

[0091] Fuse the humidity factor and the activation energy factor of the temperature model to obtain a modified temperature model, and the specific fusion is shown in the following formula (5),

[0092] E a (H) = E a0 ·(1 + δH) (5);

[0093] In equation (5), H is the humidity, E a is the activation energy corresponding to a certain reaction; E a0 is the initial activation energy corresponding to a certain reaction; δ is the coupling coefficient, which is used to reflect the influence of humidity on the activation energy;

[0094] The humidity model is the Arrhenius model related to humidity:

[0095]

[0096] In equation (6), M ′ is the degradation amount, R ′ (t ′ ) is the degradation rate at temperature T ′ when, which is a linear function specifically related to time t ′ related, B is a constant, E′ a is the activation energy corresponding to a certain reaction; k ′ is the Boltzmann constant;

[0097] Fuse the temperature factor with the degradation rate factor of the humidity model to obtain a modified humidity model; the specific fusion is shown in the following formula (7),

[0098]

[0099] In formula (7), B is a constant, H is humidity, T is temperature, E ′ a is the activation energy corresponding to a certain reaction; k ′ is the Boltzmann constant; T0 is the initial temperature; η is the coupling coefficient, which is used to reflect the cross - influence of temperature and humidity, R ′ (H,T) is the degradation rate at temperature T and humidity H;

[0100] Determine the modified vibration model based on formula (1), formula (2) and formula (3), determine the modified temperature model based on formula (4) and formula (5); determine the modified humidity model based on formula (6) and formula (7); and then use the modified vibration model, modified temperature model and modified humidity model as the modified physical field model to obtain several modified physical field models.

[0101] It should be noted that the Coffin - Manson fatigue model is a classic model in material fatigue analysis, mainly used to predict the low - cycle fatigue life of materials under cyclic loads. The Arrhenius model is a classic model that describes the influence of temperature on the chemical reaction rate.

[0102] In this embodiment, by fusing different physical field factors into a single physical field model and introducing cross - influence, the traditional single - physical - field model can consider the remaining physical field factors on the basis of the original physical field, so that the modified physical field model can more accurately reflect the actual working condition environment of the board card, and improve the accuracy of the subsequent reliability assessment of the power control device.

[0103] Step S102: Construct a multi - physical - field coupling equation based on the modified physical field model.

[0104] In this embodiment, the constructing of the multi - physical - field coupling equation based on the modified physical field model specifically includes:

[0105] Obtain the multi - physical - field cooperation coefficient and construct a multi - physical - field cooperation effect term according to the multi - physical - field cooperation coefficient;

[0106] Construct a vibration degradation term according to the modified vibration model;

[0107] Construct a temperature degradation term according to the modified temperature model;

[0108] Construct a humidity degradation term according to the modified humidity model;

[0109] Construct a multi-physical field coupling equation according to the multi-physical field synergy term, vibration degradation term, temperature degradation term, and humidity degradation term.

[0110] In an optional embodiment, obtain the multi-physical field synergy coefficient λ. The value range of the multi-physical field synergy coefficient λ can be calibrated through experiments. In this embodiment, the value range of the multi-physical field synergy coefficient λ is set to be from 0.1 to 5; construct a multi-physical field synergy term according to the multi-physical field synergy coefficient λ, and the multi-physical field synergy term is defined as Construct a vibration degradation term according to the modified vibration model, and the vibration degradation term is defined as f vib (T, H, V); construct a temperature degradation term according to the modified temperature model, and the temperature degradation term is defined as f temp (T, H); construct a humidity degradation term according to the modified humidity model, and the humidity degradation term is defined as: f hum (T, H); then perform an addition operation on the multi-physical field synergy term, vibration degradation term, temperature degradation term, and humidity degradation term to obtain a multi-physical field coupling equation, and the multi-physical field coupling equation is specifically shown in formula (8);

[0111]

[0112] In formula (8), M is the degradation amount, t is the time, H is the humidity, T is the temperature, V is the vibration, and f vib (T, H, V) is the vibration degradation term; f temp (T, H) is the temperature degradation term; f hum (T, H) is the humidity degradation term; is the multi-physical field synergy term; λ is the multi-physical field synergy coefficient.

[0113] In this embodiment, the corresponding degradation terms are constructed by modifying the vibration model, temperature model, and humidity model, and adaptive modification is performed by introducing the multi-physical field synergy term, so that the multi-physical field coupling equation can fully couple different modified physical field models, and further enable the multi-physical field coupling equation to accurately characterize the changes of the board card in different physical fields and different complex environments, thereby improving the accuracy of the reliability assessment of the power control device.

[0114] Step S103: Obtain a number of boards to be evaluated, perform a combined stress accelerated aging experiment on each of the boards to be evaluated, and obtain the multi-physical field coupling coefficient set of each of the boards to be evaluated.

[0115] In this embodiment, obtaining a number of boards to be evaluated, conducting a combined stress accelerated aging experiment on each board to be evaluated, and obtaining a multi-physical field coupling coefficient set for each board to be evaluated specifically includes:

[0116] Obtaining a number of boards to be evaluated and conducting a combined stress accelerated aging experiment on each board to be evaluated;

[0117] Based on the combined stress accelerated aging experiment of each board to be evaluated, obtaining the combined stress experiment data of each board to be evaluated;

[0118] Based on a preset coupling coefficient calibration method, combining the combined stress experiment data of each board to be evaluated to solve the modified physical field model, and obtaining a multi-physical field coupling coefficient set for each board to be evaluated.

[0119] In this embodiment, by conducting a combined stress accelerated aging experiment on multiple boards, it is possible to more realistically simulate the actual working condition environment of the boards, avoid the individual differences of single boards and the one-sidedness of single stress experiments, so as to obtain a more accurate multi-physical field coupling coefficient set, making the reliability evaluation results of the power control device obtained subsequently based on the multi-physical field coupling coefficient set and the multi-physical field coupling equation more in line with the actual working conditions of the power control device, and improving the accuracy of the reliability evaluation of the power control device.

[0120] In this embodiment, the step of based on a preset coupling coefficient calibration method, combining the combined stress experiment data of each board to be evaluated to solve the modified physical field model, and obtaining a multi-physical field coupling coefficient set for each board to be evaluated specifically includes:

[0121] Taking the natural logarithm of the modified temperature model to obtain the temperature equation corresponding to the modified temperature model;

[0122] Taking the natural logarithm of the modified humidity model to obtain the humidity equation corresponding to the modified humidity model;

[0123] Taking the natural logarithm of the modified vibration model to obtain the elastic modulus equation and the plastic strain equation corresponding to the modified vibration model;

[0124] Substituting the combined stress experiment data of each board to be evaluated into the temperature equation, humidity equation, elastic modulus equation and plastic strain equation in turn for linear regression solution to obtain a multi-physical field coupling coefficient set for each board to be evaluated.

[0125] In an optional embodiment, a number of boards to be evaluated are obtained. The boards to be evaluated include the boards used in the processes of collecting power data, transmitting power data, calculating power data, controlling power equipment, and monitoring power equipment. Then, a combined stress is applied to each board to be evaluated simultaneously, so as to conduct a combined stress accelerated aging experiment and obtain combined stress experiment data. The combined stress experiment data in this embodiment is defined as a vibration frequency of 50 Hz, an amplitude of 2 mm, a temperature of 85 °C, and a humidity of 90% RH;

[0126] Then, the modified temperature model is processed by taking the natural logarithm to obtain the temperature equation corresponding to the modified temperature model. The temperature equation is shown in the following formula (9). Then, the combined stress experiment data is substituted into the temperature equation, and through linear regression solution, δ = 0.12, E a0 = 1.2 eV;

[0127]

[0128] In formula (9), H is humidity, T is temperature, A is a constant, E a0 is the initial activation energy corresponding to a certain reaction; δ is the coupling coefficient, which is used to reflect the influence of humidity on the activation energy; k is the Boltzmann constant;

[0129] Then, the modified humidity model is processed by taking the natural logarithm to obtain the humidity equation corresponding to the modified humidity model. The humidity is shown in the following formula (10). Then, the combined stress experiment data is substituted into the humidity equation, and through linear regression solution, B = 12.18, E ′ a = 0.155 eV, η = 5.170×10 -5 ;

[0130]

[0131] In formula (10), B is a constant, H is humidity, T is temperature, E ′ a is the activation energy corresponding to a certain reaction; E ′ a is the activation energy corresponding to a certain reaction; R ′ is the degradation rate; η is the coupling coefficient, which is used to reflect the cross influence of temperature and humidity;

[0132] Then, the modified vibration model is processed by taking the natural logarithm to obtain the elastic modulus equation and the plastic strain equation corresponding to the modified vibration model. The elastic modulus equation is shown in the following formula (11), and the plastic strain equation is shown in the following formula (11). Then, the combined stress experiment data is substituted into the elastic modulus equation and the plastic strain equation, and through linear regression solution, α = 0.005 K -1 , β = 0.002 (%) -1 , E0 = 205 GPa, c = -0.25, εf ′ f = 0.02, γ = 0.004 (%) -1 ;

[0133] lnE(T, H) = lnE0 - α(T - T0) + ln(1 + βH) (11);

[0134] lnΔε pl = lnε f ′ + ln(1 + γH) + c·ln(2N f ) (12);

[0135] In formulas (11) and (12), H is humidity, T is temperature, E0 is the initial elastic modulus of the material; α is the coupling coefficient, used to reflect the influence of temperature on the material properties; T0 is the initial temperature; β is the coupling coefficient, used to reflect the influence of humidity on the material properties; Δε pl is the plastic strain range; ε f ′ is the fatigue plastic coefficient; γ is the coupling coefficient, used to reflect the influence of humidity on the material properties; c is the fatigue plastic index; N f is the fatigue life;

[0136] After that, α = 0.005 K -1 , β = 0.002 (%) -1 , γ = 0.004 (%) -1 , δ = 0.12, η = 0.3 are used as the multi - physical - field coupling coefficient set.

[0137] In this embodiment, by taking the natural logarithm of the modified physical - field model, the complexity of solving the modified physical - field model can be simplified, and through linear regression, accurate solutions of the temperature equation, humidity equation, elastic modulus equation, and plastic strain equation can be achieved, so as to obtain a more accurate multi - physical - field coupling coefficient set, improving the accuracy of the reliability assessment of the power control device.

[0138] Step S104: Solve the multi - physical - field coupling equation according to the multi - physical - field coupling coefficient set of each board to be evaluated, and obtain the reliability assessment result of the power control device.

[0139] In this embodiment, the step of solving the multi - physical - field coupling equation according to the multi - physical - field coupling coefficient set of each board to be evaluated and obtaining the reliability assessment result of the power control device specifically includes:

[0140] Substitute the multi - physical - field coupling coefficient set and the composite stress experimental data of each board to be evaluated into the multi - physical - field coupling equation for solution, and obtain the accelerated stress health state change curve of each board to be evaluated;

[0141] Obtain the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each board to be evaluated.

[0142] In this embodiment, by solving the multi - physical - field coupling equation with the multi - physical - field coupling coefficient set and the composite stress experimental data, the actual different complex working condition environments of the board can be fully considered, the accuracy of the accelerated stress health state change curve is improved, and further the accuracy of the reliability evaluation of the power control device is improved.

[0143] In this embodiment, the obtaining the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each board to be evaluated specifically includes:

[0144] Obtain the acceleration factor, and perform a scaling operation on the accelerated stress health state change curve of each board to be evaluated according to the acceleration factor to obtain the normal stress health state change curve of each board to be evaluated;

[0145] Screen all the normal stress health state change curves according to the preset screening index to obtain the first normal stress health state change curve;

[0146] Determine the life prediction curve of the power control device according to the first normal stress health state change curve, and use the life prediction curve of the power control device as the reliability evaluation result of the power control device.

[0147] In this embodiment, by performing a scaling operation on the accelerated stress health state change curve through the acceleration factor, the life prediction curve of the power control device is determined, and then the reliability evaluation result of the power control device is obtained. In the form of the acceleration factor, the reliability evaluation result of the power control device can fully consider the actual reliability situation under different stress conditions, thereby improving the accuracy of the reliability evaluation of the power control device.

[0148] In an alternative embodiment, substitute the multi - physical - field coupling coefficient set and the composite stress experimental data of each board to be evaluated into the multi - physical - field coupling equation for solution, and obtain the accelerated stress health state change curve of each board to be evaluated; the accelerated stress health state change curve refers to the health state change curve under accelerated stress; then perform a proportional scaling operation on the accelerated stress health state change curve of each board to be evaluated according to the acceleration factor to obtain the normal stress health state change curve of each board to be evaluated;

[0149] Among them, the acceleration factor AK is defined as the ratio of the time t_conventional required under the normal stress condition to the time t_acceleration required under the accelerated stress condition under the same degradation degree, that is Since the multi-physical field coupling equation in this embodiment couples vibration, temperature, and humidity, the acceleration factor AK in this embodiment can be decomposed into the product of the acceleration factors of each physical field, and the cross-influence of multiple physical fields is considered; among them, the acceleration factor AK in this embodiment is shown in the following formula (13); the value of the acceleration factor AK in this embodiment is 10.75.

[0150] AK = AK_temperature · AK_humidity · AK_vibration · f(T, H, V) (13);

[0151] In formula (13), AK is the acceleration factor, AK_temperature is the acceleration factor in the temperature physical field, AK_humidity is the acceleration factor in the humidity physical field, AK_vibration is the acceleration factor in the vibration physical field, and f(T, H, V) is the cross-coupling term, which is used to reflect the cross-influence of multiple physical fields, and its value can be calibrated through experiments;

[0152] Among them, the abscissas of the accelerated stress health state change curve and the normal stress health state change curve are both time (i.e., the board life time), and the ordinates are both degradation parameters (i.e., the degradation amount M); in this embodiment, the screening index is set to be the shortest time (i.e., the board life time), that is, the normal stress health state change curve with the shortest board life time is selected as the first normal stress health state change curve, and this first normal stress health state change curve is used as the life prediction curve of the power control device, and further as the reliability evaluation result of the power control device.

[0153] In an alternative embodiment, please refer to Figure 2 , which is a schematic diagram of the accelerated stress health state change curve of multi-physical field coupling provided by the embodiment of the present invention, Figure 3 , which is a schematic diagram of the normal stress health state change curve of multi-physical field coupling provided by the embodiment of the present invention, Figure 4 , which is a schematic diagram of the health state change curve of a single temperature physical field provided by the embodiment of the present invention; Figures 2 to 4 In, the abscissas are all time (i.e., the board life time), and the ordinates are all degradation parameters (i.e., the degradation amount M); as Figure 4 shown, the life time obtained using a single temperature physical field is 15450 hours, while the actual life time of the power control device is 11500 hours. Therefore, the reliability evaluation result obtained by the reliability evaluation method of the power control device proposed in this embodiment has a smaller error and higher accuracy.

[0154] In an alternative embodiment, please refer to Figure 5, which is a schematic flowchart of another method for evaluating the reliability of the power control device provided by the embodiment of the present invention. As Figure 5 shown, first, a multi-physical-field coupling failure model of the power control device is established. Then, a composite stress accelerated aging experiment design is carried out on the key circuit boards, and the coupling parameters are calibrated using the least squares method. The change curve of the measured health state of the device under the composite stress is obtained through the multi-physical-field coupling failure model and the coupling parameters. Then, the change curve of the health state under the normal stress is predicted through the composite acceleration factor, and the prediction error is compared with the life curve obtained by a single physical field. Finally, the reliability evaluation is carried out based on the change curve of the health state.

[0155] In this embodiment, different physical field factors are integrated into physical field models of different physical field types to obtain modified physical field models. Then, the modified physical field models are coupled to obtain a multi-physical-field coupling equation. A composite stress accelerated aging experiment is carried out on each circuit board to be evaluated to obtain a multi-physical-field coupling coefficient set. Solving the multi-physical-field coupling equation based on the multi-physical-field coupling coefficient set realizes the evaluation of the reliability of the power control device. In this embodiment, by integrating physical field factors into a single physical field model and introducing cross-influences, the limitation of the traditional single physical field model ignoring interactions is avoided. Then, multiple modified physical field models are coupled, so that the multi-physical-field coupling equation can fully reflect the changes of the circuit board in different physical fields and different complex environments. And carrying out a composite stress accelerated aging experiment on multiple circuit boards can more realistically simulate the actual working condition environment of the circuit board, avoiding the individual differences of a single circuit board and the one-sidedness of a single stress experiment. Therefore, the reliability evaluation result of the power control device obtained based on the multi-physical-field coupling coefficient set and the multi-physical-field coupling equation is more in line with the actual working condition of the power control device, improving the accuracy of the reliability evaluation of the power control device.

[0156] Embodiment 2

[0157] Please refer to Figure 6 , which is a schematic structural diagram of a reliability evaluation system for a power control device provided by the embodiment of the present invention, including: a physical field factor integration module 201, a multi-physical-field model coupling module 202, a multi-physical-field coupling coefficient set calculation module 203, and a power control device reliability evaluation module 204.

[0158] Among them, the physical field factor integration module 201 is used to obtain a plurality of physical field models and a plurality of physical field factors, and perform physical field factor integration on each physical field model according to the physical field factors to obtain a plurality of modified physical field models.

[0159] In this embodiment, the physical field factor integration module 201 includes: a physical field factor integration unit;

[0160] The physical field factor fusion unit is used to obtain a number of physical field models, and the physical field models include: a vibration model, a temperature model, and a humidity model;

[0161] Obtain a number of physical field factors, and the physical field factors include: a temperature factor and a humidity factor;

[0162] Fuse the temperature factor, the humidity factor, and the elastic modulus factor of the vibration model, and fuse the temperature factor, the humidity factor, and the plastic strain factor of the vibration model to obtain a modified vibration model;

[0163] Fuse the humidity factor with the activation energy factor of the temperature model to obtain a modified temperature model;

[0164] Fuse the temperature factor with the degradation rate factor of the humidity model to obtain a modified humidity model;

[0165] Take the modified vibration model, the modified temperature model, and the modified humidity model as modified physical field models to obtain a number of modified physical field models.

[0166] The multi-physical field model coupling module 202 is used to construct a multi-physical field coupling equation based on the modified physical field model.

[0167] In this embodiment, the multi-physical field model coupling module 202 includes: a multi-physical field model coupling unit;

[0168] The multi-physical field model coupling unit is used to obtain a multi-physical field cooperation coefficient and construct a multi-physical field cooperation effect term according to the multi-physical field cooperation coefficient;

[0169] Construct a vibration degradation term according to the modified vibration model;

[0170] Construct a temperature degradation term according to the modified temperature model;

[0171] Construct a humidity degradation term according to the modified humidity model;

[0172] Construct a multi-physical field coupling equation according to the multi-physical field cooperation effect term, the vibration degradation term, the temperature degradation term, and the humidity degradation term.

[0173] The multi-physical field coupling coefficient set calculation module 203 is used to obtain a number of boards to be evaluated, perform a composite stress accelerated aging experiment on each board to be evaluated, and obtain a multi-physical field coupling coefficient set of each board to be evaluated.

[0174] In this embodiment, the multi-physical field coupling coefficient set calculation module 203 includes: a multi-physical field coupling coefficient set calculation unit;

[0175] The multi-physical field coupling coefficient set calculation unit is used to obtain a number of boards to be evaluated, and perform a combined stress accelerated aging experiment on each board to be evaluated;

[0176] Based on the combined stress accelerated aging experiment of each board to be evaluated, obtain the combined stress experiment data of each board to be evaluated;

[0177] Based on a preset coupling coefficient calibration method, solve the modified physical field model by combining the combined stress experiment data of each board to be evaluated, and obtain the multi-physical field coupling coefficient set of each board to be evaluated.

[0178] In this embodiment, the multi-physical field coupling coefficient set calculation unit includes: a multi-physical field coupling coefficient set calculation subunit;

[0179] The multi-physical field coupling coefficient set calculation subunit is used to perform a natural logarithm processing on the modified temperature model to obtain the temperature equation corresponding to the modified temperature model;

[0180] Perform a natural logarithm processing on the modified humidity model to obtain the humidity equation corresponding to the modified humidity model;

[0181] Perform a natural logarithm processing on the modified vibration model to obtain the elastic modulus equation and the plastic strain equation corresponding to the modified vibration model;

[0182] Substitute the combined stress experiment data of each board to be evaluated into the temperature equation, humidity equation, elastic modulus equation and plastic strain equation in turn for linear regression solution, and obtain the multi-physical field coupling coefficient set of each board to be evaluated.

[0183] The reliability evaluation module 204 of the power control device is used to solve the multi-physical field coupling equation according to the multi-physical field coupling coefficient set of each board to be evaluated, and obtain the reliability evaluation result of the power control device.

[0184] In this embodiment, the reliability evaluation module 204 of the power control device includes: a reliability evaluation unit of the power control device;

[0185] The reliability evaluation unit of the power control device is used to substitute the multi-physical field coupling coefficient set and the combined stress experiment data of each board to be evaluated into the multi-physical field coupling equation for solution, and obtain the accelerated stress health state change curve of each board to be evaluated;

[0186] Obtain the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each board to be evaluated.

[0187] In this embodiment, the reliability evaluation unit of the power control device includes: a reliability evaluation subunit of the power control device;

[0188] The reliability evaluation subunit of the power control device is used to obtain an acceleration factor, and perform a scaling operation on the acceleration stress health state change curve of each to-be-evaluated board according to the acceleration factor to obtain the normal stress health state change curve of each to-be-evaluated board;

[0189] All the normal stress health state change curves are screened according to a preset screening index to obtain a first normal stress health state change curve;

[0190] A life prediction curve of the power control device is determined according to the first normal stress health state change curve, and the life prediction curve of the power control device is used as the reliability evaluation result of the power control device.

[0191] In this embodiment, different physical field factors are integrated into physical field models of different physical field types to obtain a modified physical field model. Then, the modified physical field models are coupled to obtain a multi-physical field coupling equation. A composite stress accelerated aging experiment is performed on each to-be-evaluated board to obtain a multi-physical field coupling coefficient set. The multi-physical field coupling equation is solved based on the multi-physical field coupling coefficient set to realize the reliability evaluation of the power control device. In this embodiment, by integrating physical field factors into a single physical field model and introducing cross-influences, the limitation of ignoring interactions in traditional single physical field models is avoided. Then, multiple modified physical field models are coupled, so that the multi-physical field coupling equation can fully reflect the changes of the board under different physical fields and different complex environments; and a composite stress accelerated aging experiment is performed on multiple boards, which can more realistically simulate the actual working condition environment of the board, avoid the individual differences of a single board and the one-sidedness of a single stress experiment, so that the reliability evaluation result of the power control device obtained based on the multi-physical field coupling coefficient set and the multi-physical field coupling equation is more in line with the actual working condition of the power control device, and improves the accuracy of the reliability evaluation of the power control device.

[0192] Embodiment III

[0193] Based on the above embodiment of the reliability evaluation method of a power control device, Embodiment III of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the reliability evaluation method of a power control device according to an embodiment of the present invention is implemented.

[0194] Exemplarily, in this embodiment, the computer program may be divided into one or more modules. The one or more modules are stored in the memory and executed by the processor to implement the present invention. The one or more module elements may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the terminal device.

[0195] The terminal device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0196] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal device and connects various parts of the entire terminal device through various interfaces and circuits.

[0197] Based on the above method item embodiments, an embodiment of the present invention provides a computer-readable storage medium, including a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the reliability evaluation method of a power control device described in any one of the above method item embodiments of the present invention.

[0198] Among them, for the modules / units integrated in the device / terminal device, when implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0199] In summary, in the embodiment of the present invention, different physical field factors are integrated into physical field models of different physical field types to obtain a modified physical field model, and then the modified physical field models are coupled to obtain a multi-physical field coupling equation. A composite stress accelerated aging experiment is carried out on each board to be evaluated to obtain a multi-physical field coupling coefficient set, and the multi-physical field coupling equation is solved based on the multi-physical field coupling coefficient set to realize the evaluation of the reliability of the power control device. In the embodiment of the present invention, by integrating physical field factors into a single physical field model and introducing cross-influence, the limitation of the traditional single physical field model ignoring the interaction is avoided. Then, multiple modified physical field models are coupled, so that the multi-physical field coupling equation can fully reflect the changes of the board in different physical fields and different complex environments; and a composite stress accelerated aging experiment is carried out on multiple boards, which can more realistically simulate the actual working condition environment of the board, avoid the individual differences of a single board and the one-sidedness of a single stress experiment, so that the reliability evaluation result of the power control device obtained based on the multi-physical field coupling coefficient set and the multi-physical field coupling equation is more in line with the actual working condition of the power control device, and improves the accuracy of the reliability evaluation of the power control device.

[0200] In the above specific embodiments, the purpose, technical solution, and beneficial effects of the present invention are further described in detail. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. It is particularly pointed out that for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A reliability evaluation method for a power control device, characterized in that Including: Obtain a plurality of physical field models and a plurality of physical field factors, and perform physical field factor fusion on each of the physical field models according to the physical field factors to obtain a plurality of corrected physical field models; Construct a multi-physical field coupling equation based on the corrected physical field models; Obtain a plurality of boards to be evaluated, perform a combined stress accelerated aging experiment on each of the boards to be evaluated, and obtain a multi-physical field coupling coefficient set for each of the boards to be evaluated; Solve the multi-physical field coupling equation according to the multi-physical field coupling coefficient set of each of the boards to be evaluated to obtain a reliability evaluation result of the power control device.

2. The reliability evaluation method of a power control device according to claim 1, characterized in that, The obtaining a plurality of physical field models and a plurality of physical field factors, and performing physical field factor fusion on each of the physical field models according to the physical field factors to obtain a plurality of corrected physical field models specifically includes: Obtain a plurality of physical field models, where the physical field models include: a vibration model, a temperature model, and a humidity model; Obtain a plurality of physical field factors, where the physical field factors include: a temperature factor and a humidity factor; Fuse the temperature factor, the humidity factor, and the elastic modulus factor of the vibration model, and fuse the temperature factor, the humidity factor, and the plastic strain factor of the vibration model to obtain a corrected vibration model; Fuse the humidity factor with the activation energy factor of the temperature model to obtain a corrected temperature model; Fuse the temperature factor with the degradation rate factor of the humidity model to obtain a corrected humidity model; Use the corrected vibration model, the corrected temperature model, and the corrected humidity model as the corrected physical field models to obtain a plurality of corrected physical field models.

3. The reliability evaluation method of a power control device as described in claim 2, wherein The constructing a multi-physical field coupling equation based on the corrected physical field models specifically includes: Obtain a multi-physical field cooperation coefficient, and construct a multi-physical field cooperation effect term according to the multi-physical field cooperation coefficient; Construct a vibration degradation term according to the corrected vibration model; Construct a temperature degradation term according to the corrected temperature model; Construct a humidity degradation term according to the corrected humidity model; Construct a multi-physical field coupling equation according to the multi-physical field cooperation effect term, the vibration degradation term, the temperature degradation term, and the humidity degradation term.

4. The reliability evaluation method of a power control device according to claim 2, characterized in that The obtaining a plurality of boards to be evaluated, performing a combined stress accelerated aging experiment on each of the boards to be evaluated, and obtaining a multi-physical field coupling coefficient set for each of the boards to be evaluated specifically includes: Obtain a plurality of boards to be evaluated, and perform a combined stress accelerated aging experiment on each of the boards to be evaluated; Based on the combined stress accelerated aging experiment of each of the boards to be evaluated, obtain the combined stress experiment data of each of the boards to be evaluated; Based on a preset coupling coefficient calibration method, solve the corrected physical field model in combination with the combined stress experiment data of each of the boards to be evaluated to obtain a multi-physical field coupling coefficient set for each of the boards to be evaluated.

5. The reliability evaluation method of a power control device as described in claim 4, characterized in that, The based on a preset coupling coefficient calibration method, solving the corrected physical field model in combination with the combined stress experiment data of each of the boards to be evaluated to obtain a multi-physical field coupling coefficient set for each of the boards to be evaluated specifically includes: Perform a natural logarithm processing on the corrected temperature model to obtain a temperature equation corresponding to the corrected temperature model; Take the natural logarithm of the corrected humidity model to obtain the humidity equation corresponding to the corrected humidity model; Take the natural logarithm of the corrected vibration model to obtain the elastic modulus equation and plastic strain equation corresponding to the corrected vibration model; Substitute the composite stress experimental data of each to-be-evaluated board card into the temperature equation, humidity equation, elastic modulus equation, and plastic strain equation in sequence for linear regression solution to obtain the multi-physical field coupling coefficient set of each to-be-evaluated board card.

6. The reliability evaluation method of a power control device according to claim 4 or 5, characterized in that Solving the multi-physical field coupling equation according to the multi-physical field coupling coefficient set of each to-be-evaluated board card to obtain the reliability evaluation result of the power control device, specifically including: Substitute the multi-physical field coupling coefficient set and composite stress experimental data of each to-be-evaluated board card into the multi-physical field coupling equation for solution to obtain the accelerated stress health state change curve of each to-be-evaluated board card; Obtain the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each to-be-evaluated board card.

7. The reliability evaluation method of a power control device as described in claim 6, wherein, The obtaining the reliability evaluation result of the power control device according to the accelerated stress health state change curve of each to-be-evaluated board card, specifically including: Obtain the acceleration factor, and perform a scaling operation on the accelerated stress health state change curve of each to-be-evaluated board card according to the acceleration factor to obtain the normal stress health state change curve of each to-be-evaluated board card; Screen all the normal stress health state change curves according to the preset screening index to obtain the first normal stress health state change curve; Determine the life prediction curve of the power control device according to the first normal stress health state change curve, and use the life prediction curve of the power control device as the reliability evaluation result of the power control device.

8. A reliability evaluation system for a power control device, characterized in that, Including: A physical field factor fusion module, a multi-physical field model coupling module, a multi-physical field coupling coefficient set calculation module, and a power control device reliability evaluation module; Among them, the physical field factor fusion module is used to obtain a plurality of physical field models and a plurality of physical field factors, and perform physical field factor fusion on each physical field model according to the physical field factors to obtain a plurality of corrected physical field models; The multi-physical field model coupling module is used to construct a multi-physical field coupling equation based on the corrected physical field models; The multi-physical field coupling coefficient set calculation module is used to obtain a plurality of to-be-evaluated board cards, perform a composite stress accelerated aging experiment on each to-be-evaluated board card, and obtain the multi-physical field coupling coefficient set of each to-be-evaluated board card; The power control device reliability evaluation module is used to solve the multi-physical field coupling equation according to the multi-physical field coupling coefficient set of each to-be-evaluated board card to obtain the reliability evaluation result of the power control device.

9. A terminal device, characterized in that, Including: One or more processors; A memory, coupled to the processor, for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement a method for evaluating the reliability of a power control device according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program, when executed by a processor, implements a reliability evaluation method for a power control device as described in any one of claims 1 to 7.

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