CN114329921A - Method, device, equipment and medium for evaluating reliability performance of whole vehicle - Google Patents

Abstract

The invention discloses a method, a device, equipment and a medium for evaluating the reliability performance of a whole vehicle, wherein the method comprises the following steps: acquiring historical test data of a vehicle type to be evaluated; determining a reliability test scheme of the vehicle type to be evaluated in the current test stage according to historical test data; according to the reliability test scheme, carrying out a whole vehicle reliability test of a current test stage on a vehicle type to be evaluated to obtain reliability test data of the current test stage; and determining a reliability level evaluation result of the vehicle type to be evaluated according to the reliability test data and the acquired reliability target data. The method and the device establish the relevance between the whole vehicle reliability performance verification of the vehicle and the vehicle market reliability index directly, realize the assessment of the risk of the vehicle on the reliability performance by the test in the process of the test, realize the market reliability level estimation after the vehicle completes the whole vehicle reliability test, further match the whole vehicle reliability performance verification of the vehicle with market users to the maximum extent, and realize the maximum economic benefit of the verification cost.

Description

A method, device, equipment and medium for evaluating reliability performance of a complete vehicle

technical field

The invention relates to the technical field of automobiles, in particular to a method, device, equipment and medium for evaluating the reliability performance of a complete vehicle.

Background technique

As one of the most important performances of automobiles, the reliability of automobiles has been widely valued by OEMs and market users. In the research and development stage, a large number of vehicle reliability tests will be done to test the reliability level of the vehicle. The reliability test of the whole vehicle will cost the OEM a lot of manpower, material resources and financial resources.

At present, the design of the reliability test scheme of the automobile mainly relies on the development experience of the OEM itself, and it is not closely related to the feedback of the actual use of the vehicle by the market users. Reliable performance level.

SUMMARY OF THE INVENTION

By providing a method, device, equipment and medium for evaluating the reliability performance of a complete vehicle, the embodiments of the present application solve the technical problem in the prior art that the reliability performance level of the automobile after production cannot be evaluated, and realize the ability to evaluate the reliability performance level of the automobile after production. Technical effects of reliable performance levels.

In a first aspect, the present application provides a method for evaluating the reliability performance of a complete vehicle, the method comprising:

Obtain historical test data of the vehicle to be evaluated;

According to the historical test data, determine the reliability test plan of the vehicle to be evaluated in the current test stage;

According to the reliability test plan, carry out the vehicle reliability test of the current test stage of the vehicle to be evaluated, and obtain the reliability test data of the current test stage;

According to the reliability test data and the obtained reliability target data, the reliability level evaluation result of the vehicle to be evaluated is determined.

Further, obtain reliability target data, including:

According to the historical fault data and historical mileage data of the historical models, the reliability target data of the models to be evaluated are determined, and the historical models refer to the same or similar models as the models to be evaluated.

Further, the reliability test plan includes a test total mileage setting plan, a mileage allocation setting plan for different road surfaces, a mileage allocation setting plan for different stowage, a mileage allocation setting plan for different ambient temperatures, and a functional component operation setting plan. at least one of the options.

Further, after obtaining the historical test data of the vehicle to be evaluated in the previous test stage, the method further includes:

According to the historical test data, determine the reliability target curve of the vehicle to be evaluated in the current test stage;

After obtaining the reliability test data of the current test stage, the method also includes:

According to the reliability test data, determine the actual reliability curve of the vehicle to be evaluated in the current test stage;

According to the reliability target curve and the reliability actual curve, it is determined whether the reliability growth rate of the vehicle to be evaluated in the current test stage conforms to the set growth rate.

Further, when the reliability growth rate of the vehicle to be evaluated in the current test stage does not meet the set growth rate, the method further includes:

Adjust the reliability test plan according to the reliability test data of the vehicle to be evaluated in the current test stage;

According to the adjusted reliability test plan, the vehicle to be evaluated is subjected to the whole vehicle reliability test in the next test stage.

Further, the reliability test data includes failure rate data or mileage between failures.

Further, the reliability test data includes the test data corresponding to the target failure in the vehicle to be evaluated, and the target failure includes the failure of the components that meet the design state in the vehicle to be evaluated.

In a second aspect, the present application provides a device for evaluating reliability performance of a complete vehicle, the device comprising:

The historical test data acquisition module is used to acquire the historical test data of the vehicle to be evaluated;

The scheme determination module is used to determine the reliability test scheme of the vehicle to be evaluated in the current test stage according to the historical test data;

The reliability test data determination module is used to carry out the vehicle reliability test in the current test stage according to the reliability test scheme, and obtain the reliability test data of the current test stage;

The evaluation result determination module is used for determining the reliability level evaluation result of the vehicle to be evaluated according to the reliability test data and the obtained reliability target data.

In a third aspect, the present application provides an electronic device, comprising:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured to execute a method for evaluating the reliability performance of the whole vehicle.

In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute a method for evaluating reliability performance of a vehicle .

One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

This application proposes a vehicle reliability test design method associated with the reliability index of the automobile market, which directly establishes a correlation between the vehicle reliability performance verification of the vehicle and the reliability index of the automobile market, so as to realize the reliability of the vehicle during the test. The performance achievement risk is assessed to realize the market reliability level estimation after the vehicle completes the vehicle reliability test, so as to match the vehicle reliability performance verification to the market users to the greatest extent, and realize the maximum economic benefit of the verification cost.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

1 is a schematic flowchart of a method for evaluating the reliability performance of a complete vehicle provided by the application;

Fig. 2 is the schematic diagram of the bathtub curve provided by the application;

3 is a schematic diagram of a reliability growth curve provided by the application;

4 is a schematic structural diagram of a device for evaluating reliability performance of a vehicle provided by the application;

FIG. 5 is a schematic structural diagram of an electronic device provided by the present application.

Detailed ways

The embodiments of the present application solve the technical problem in the prior art that the reliability performance level of the vehicle after production cannot be evaluated by providing a method for evaluating the reliability performance of a complete vehicle.

The technical solutions of the embodiments of the present application are to solve the above-mentioned technical problems, and the general idea is as follows:

A method for evaluating the reliability performance of a complete vehicle, the method includes: obtaining historical test data of a vehicle to be evaluated; determining a reliability test scheme of the vehicle to be evaluated in a current test stage according to the historical test data; Carry out the vehicle reliability test in the current test phase of the vehicle model, and obtain the reliability test data of the current test phase; according to the reliability test data and the obtained reliability target data, determine the reliability level evaluation result of the vehicle to be evaluated.

This embodiment proposes a vehicle reliability test design method associated with the reliability index of the automobile market, and establishes a correlation between the vehicle reliability performance verification of the vehicle and the reliability index of the automobile market directly. The risk of reliability performance is assessed, and the market reliability level estimation after the vehicle completes the reliability test of the vehicle is realized, so that the vehicle reliability performance verification can be matched to the market users to the greatest extent, and the maximum economic benefit of the verification cost can be achieved.

In order to better understand the above technical solutions, the above technical solutions will be described in detail below with reference to the accompanying drawings and specific embodiments.

First of all, it should be noted that the term "and/or" that appears in this article is only an association relationship to describe related objects, which means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, and A exists at the same time. and B, there are three cases of B alone. In addition, the character "/" in this document generally indicates that the related objects are an "or" relationship.

This embodiment provides a method for evaluating the reliability performance of a complete vehicle as shown in FIG. 1 , and the method includes steps S11 to S14 .

Step S11, obtaining historical test data of the vehicle model to be evaluated.

Step S12, according to the historical test data, determine the reliability test plan of the vehicle model to be evaluated in the current test stage.

Step S13 , according to the reliability test plan, perform a vehicle reliability test in the current test stage for the vehicle to be evaluated, and obtain reliability test data in the current test stage.

Step S14: Determine the reliability level evaluation result of the vehicle model to be evaluated according to the reliability test data and the obtained reliability target data.

In step S11, the historical test data may be the data obtained by the vehicle to be evaluated in the previous test phase, or may be the test data obtained after synthesizing all the previous test phases of the vehicle to be evaluated, or it may be the same as the vehicle to be evaluated or historical test data of similar vehicle models, which is not limited in this embodiment.

Among them, the historical test data can be the failure rate or the mean interval between failure mileage.

The failure rate refers to 3mis, 6mis or 12mis (this example is abbreviated as jmis, and j is 3, 6 or 12), 3mis usually means the failure rate after tracking a total of 1000 vehicles for 3 months; 6mis means the total tracking Failure rate of 1000 vehicles after 6 months on the market; 12mis means tracking the failure rate of a total of 1000 vehicles after 12 months on the market.

The mean mileage between failures, referred to as MTBF (Mean Time Between Failure), refers to a batch of vehicles (assemblies or parts) of the same model and technical state that are driven under specified conditions, and within the mileage limit for reliability inspection, all vehicles appear Of the total number of failures, the average mileage between each failure.

In addition, jmis and MTBF can be converted to each other, and the specific conversion formula is shown in formula (1). Therefore, it is theoretically feasible to select one of the two as the design index of the vehicle reliability test (that is, the historical test data mentioned in step S11 and the reliability test data mentioned in step S13 ), and the follow-up of this embodiment is feasible. The scheme will be explained by taking MTBF as an example. Of course, the solution provided in this embodiment is also suitable for selecting the failure rate jmis as the design index of the reliability test of the whole vehicle.

表示追踪共计M辆汽车上市j个月后的平均行驶里程。MTBF represents the mean mileage between failures; jmis represents the failure rate after tracking a total of M vehicles for j months, j∈[3,6,12]; M represents the number of tracking samples; D represents the i-th tracked vehicle among the total M vehicles Cumulative mileage of each sample vehicle after listing j months;

It means to track the average mileage of M vehicles after they are listed for j months.

In step S12, according to the acquired historical test data, the reliability test scheme used in the previous test stage can be adaptively adjusted (in this embodiment, the test scheme of the previous test stage is taken as an example for subsequent description), and then the determination is made. The reliability test plan of the vehicle to be evaluated in the current test phase.

The reliability test scheme can include the total test mileage setting scheme, the mileage allocation setting scheme for different road surfaces, the mileage allocation setting scheme for different loads, the mileage allocation setting scheme for different ambient temperatures, and the functional parts operation setting scheme. at least one option.

Each of the above reliability test schemes will now be described one by one.

【Test total mileage setting plan】

The historical test data of the vehicle to be evaluated are counted, including: the cumulative number of failures N and the cumulative mileage t ₀ of the test, and the mean interval between failure mileage MTBF ₀ with a confidence level of 1-α can be estimated. In this embodiment, the reliability test of the whole vehicle is designed based on the theory of reliability growth, and the formula (2) can be obtained.

ln(MTBF)=ln(MTBF ₀ )+m[ln(t)-ln(t ₀ )] (2)

Among them, t represents the accumulated mileage of the test; m is a constant, which represents the shape parameter, specifically the speed of failure reduction, usually m is 0.3 to 0.6; when m is in the range of 0.1 to 0.3, it indicates that the efficiency of failure correction is not high; when Within the range of 0.6 to 0.7, it indicates a strong corrective method used in failure; t ₀ is a constant, indicating the cumulative mileage of the previous stage test; MTBF ₀ is a constant, which is a size parameter, indicating the average failure of the previous stage test. interval mileage.

【Setting scheme of mileage allocation for different roads】

The mileage allocation setting scheme for different roads is mainly obtained by obtaining the mileage distribution of market users on different roads in one year. For example, as shown in Table 1, it is the distribution of the mileage of market users on different roads within one year.

Table 1

Assuming that a total of N prototype vehicles (N is a positive integer) are used to carry out the vehicle reliability test, the mileage of each prototype vehicle on different roads can refer to formula (3) and formula (4).

A _i =A×K_i (4)

Among them, A represents the mileage of each sample vehicle; A _i represents the mileage of each sample vehicle on different road i, i∈[1,7]; T represents the total mileage of N sample vehicles; N represents The number of sample vehicles; K_i represents the mileage distribution ratio of different road i, i∈[1,7].

Among them, preferably, when each car is driving on different roads, it can be carried out under the state of not exceeding the maximum speed specified by the traffic regulations, and try to use violent driving operations under the conditions of safe driving, such as rapid acceleration. , rapid deceleration, etc., which can reflect the limit state of each car to cover the limit driving state that the car may encounter during actual driving.

【Mileage allocation setting scheme for different stowage】

The mileage allocation setting scheme for different stowage can be determined according to the stowage survey results of the actual use of cars by market users and the stowage ratio (no-load, half-load, full-load) of each car on different roads. For example, the stowage ratio can usually be taken (no-load 25%, half-load 50%, full-load 25%), or a more stringent ratio can be defined (half-load 50%, full-load 50%).

【Setting scheme of mileage distribution for different ambient temperatures】

The models to be evaluated in the solution provided in this embodiment mainly refer to the models that drive in the central urban area, and do not include models for sale in hot areas (for example, areas such as Turpan) and cold areas (for example, areas such as Heihe). Therefore, when setting the mileage ratio of each car under different ambient temperatures, you can refer to formula (5)-formula (8).

D _{test_nom} = 1-D _{test_hot} -D _{test_col} (8)

Among them, D _hot is a constant, indicating the proportion of mileage driven by market users in one summer, usually in the range of 20% to 30%; D _col is a constant, indicating the proportion of mileage driven by market users in one year in winter, usually a value The range is 20% to 30%; α ₁ represents the acceleration coefficient of the vehicle reliability test hot zone test; Ea is a constant, representing the activation energy of the failure reaction, generally 0.45; k is a constant, representing the Boltzmann parameter, The general value is 8.617e ^-5 ; T _{test_hot} represents the average temperature of the hot zone test site in summer, the unit is °C; T _{city_hot} represents the average summer temperature of the main city, the unit is °C; α ₂ is a constant, representing the vehicle reliability test The acceleration coefficient of the cold zone test usually ranges from 1.2 to 1.8; D _{test_hot} represents the mileage ratio of the vehicle reliability test in the hot zone; D _{test_col} represents the mileage ratio of the vehicle reliability test in the cold zone; D _{test_nom} represents the whole vehicle reliability test. The mileage ratio of vehicle reliability test in general cities.

【Function operation setting plan】

Some functional parts on the car are more likely to be operated repeatedly in order to effectively assess their reliability performance. Therefore, when designing the reliability test of the whole vehicle, it is necessary to consider the operation of the functional parts of the car. Usually combined with the complete vehicle function list defined by the automobile product, the operation is performed on the complete vehicle function in the complete vehicle reliability test to test its reliable performance.

Table 2

For example, refer to the functional parts within the scope of the vehicle reliability test verification in Table 2, and add operations during the vehicle reliability test. For example, operate various functions of air conditioner, operate various functions of music entertainment, control switch, door glass lift, opening and closing of fuel/charging port cover, opening and closing of electric opening and closing parts and anti-pinch, opening and closing of sunroof, etc.

According to the bathtub curve in Figure 2, it can be seen that the second-stage market reliability of the bathtub curve (stable reliability curve interval) can only be reached from 3 to 6 months after the car is launched. Therefore, when formulating the functional parts operation setting plan, it can cover the target operation times of market users with a percentile of β using the car for D months, and the target operation times is that the market users with a percentile of 1-β use the car for D months. will not exceed this number of times. β is a constant, usually 1% to 10%. D is a constant, usually 12 months. Covers the number of actions taken by market users with a percentile of β for D months.

The specific acquisition method may be, for a group of market users, collect the operation times of each user operating various functions of the car and the use time of the car, set the operation times of the user to operate the functions of the car to conform to the two-parameter Weibull distribution, and solve the problem Boolean curve F(t), let F(t)=1-β, then calculate: covering the number of operations t _D of market users whose percentile is β for D months, you can refer to formula (9)-formula (18) ).

数值由小到大重新排序为：according to

The values are reordered from smallest to largest as:

表示调研的市场用户i当量使用汽车D个月某功能件的操作次数；

表示操作次数为

对应的累计分布函数值；X_j、Y_j表示计算的中间变量；

表示计算的中间参数：参数a及参数b的估计值；

表示比例参数m及状态参数η的估计值；t_D表示涵盖百分位为β的市场用户使用D个月的操作次数。Among them, m is a constant, representing the proportional parameter; η is a constant, representing the state parameter; t is the number of operations; F(t) is the cumulative distribution function value; M is the total number of market users under investigation; n _i is the market user i under investigation The number of operations of using a certain function of the car; P _i represents the time from the purchase of the car to the current time of the survey by market user i; D represents the number of months used by the market user;

Indicates the number of operations of a certain functional part of the market user i under the survey using the car in D months;

Indicates that the number of operations is

Corresponding cumulative distribution function value; X _j , Y _j represent the calculated intermediate variables;

Indicates the intermediate parameters of the calculation: the estimated values of parameter a and parameter b;

Represents the estimated value of the proportional parameter m and the state parameter η; t _D represents the number of operations covered by market users with a percentile of β for D months.

In step S13, according to the reliability test scheme determined in step S12, the vehicle to be evaluated is subjected to a vehicle reliability test at the current test stage, and reliability test data at the current test stage are obtained.

The reliability test data includes the test data corresponding to the target failure in the vehicle to be evaluated, and the target failure includes the failure of the components in the vehicle to be evaluated that meet the design state. That is to say, when the vehicle reliability test is carried out, it is necessary to identify the types of faults. For repeated faults, subordinate faults, faults caused by incorrect operation, and faults that have been effectively corrected but no corrective measures have been introduced and occur again The failures of parts that do not meet the design state are not included in the reliability failures, that is, they are not classified as target failures. The target failure mainly refers to the parts that meet the design status, but still have failures, affecting the user's use, and can only be eliminated through analysis and rectification.

In step S14, obtaining reliability target data includes: determining reliability target data of the vehicle to be evaluated according to historical fault data and historical mileage data of the historical vehicle, where the historical vehicle refers to the same or similar vehicle to the vehicle to be evaluated.

That is to say, the reliability target data is determined according to the historical failure data and historical mileage data of the historical vehicle model that is the same as or similar to the vehicle to be evaluated. Specifically, some studies have shown that the time-dependent curve of the failure rate λ(t) after the car is launched is a bathtub curve, as shown in Figure 2. Failure rate λ(t): refers to the product that has not failed until a certain time, and after this time, the probability of failure per unit time; generally recorded as λ, which is also a function of time t, so it is also recorded as λ( t), known as the failure rate function, sometimes also called the failure rate function or the risk function.

According to Fig. 2, it can be seen that the second-stage market reliability of the bathtub curve (stable reliability curve interval) can only be reached from 3 to 6 months after the automobile is launched. Therefore, in this embodiment, the failure rate data of more than 6 months is used to evaluate the reliability. For example, the failure rate data of 12 months after the car is put on the market is used to evaluate the reliability of the car after it is put on the market.

As shown in Figure 2, the second segment of the bathtub curve is the automotive market reliability, and its distribution belongs to the exponential distribution (also known as the negative exponential distribution, which is a probability distribution that describes the time between events in a Poisson process, that is, events start with A process that occurs continuously and independently at a constant average rate), whose formula is as follows:

Among them, f(x) represents the probability density function (probability density function: in mathematics, the probability density function of a continuous random variable is an output value that describes the probability of the random variable near a certain value point. The probability that the value of the random variable falls within a certain area is the integral of the probability density function in this area; when the probability density function exists, the cumulative distribution function is the integral of the probability density function. Among them, the cumulative distribution function is the integral of the probability density function. The distribution function is also called the distribution function, which is the integral of the probability density function, which can completely describe the probability distribution of a real random variable X); x represents the working time or working mileage; MTBF represents the mean interval between failures mileage; θ is a constant, specifically the index distribution constant.

For example, in this embodiment, tracking the after-sales failures of 1,000 vehicles 12 months after the launch of a certain model already on the market, the total number of failures and the mileage of each failure of the 1,000 vehicles can be obtained. Based on these data information, the market reliability index (ie reliability target data) MTBF of the listed model can be estimated, so as to formulate the reliability target data of the developed model. The formula is as follows:

表示追踪共计M辆在上市12个月后的置信度为1-α的平均故障间隔里程估计值；γ为常数，平均故障间隔里程目标调整系数；MTBF_target表示目标平均故障间隔里程；α为常数，表示置信度参数，通常取值1％～10％；N表示追踪共计M辆在上市12个月后的累计故障数；D_i表示追踪共计M辆汽车在上市12个月后的累计行驶里程。in,

Represents the estimated mileage between failures with a confidence level of 1-α after tracking a total of M vehicles 12 months after the launch; γ is a constant, the target adjustment factor of mileage between failures; MTBF _target represents the target mileage between failures; α is a constant , represents the confidence parameter, usually ranging from 1% to 10%; N represents the cumulative number of failures after tracking a total of M vehicles after 12 months of listing; D _i represents the cumulative mileage of tracking a total of M vehicles after 12 months on the market .

Combined with the above calculations, the reliability index values of the automobile market to be verified by the vehicle reliability verification test can be obtained: the target mean interval between failures MTBF _target and the confidence level 1-α corresponding to the target mean interval between failures.

During the reliability test of the vehicle, the parameters of the vehicle reliability growth model can be estimated, so as to judge that the vehicle has reached the set reliability target data. The estimation formula of the parameters of the vehicle reliability growth model is as follows:

表示汽车在整车可靠性试验进行中形状参数m的估计值；

表示汽车在整车可靠性试验进行中尺寸参数MTBF₀的估计值；z表示故障总个数；t_i表示故障发生时的行驶里程；MTBF_c表示累计总故障的平均故障间隔里程。in,

Represents the estimated value of the shape parameter m of the vehicle during the vehicle reliability test;

Represents the estimated value of the size parameter MTBF ₀ during the vehicle reliability test; z represents the total number of faults; t _i represents the mileage when the fault occurs; MTBF _c represents the mean interval mileage of accumulated total faults.

After the vehicle completes the vehicle reliability test in the current test phase, the mean interval mileage MBTF with a confidence level of 1-α of the vehicle can be estimated statistically, and it can be compared with the originally set reliability index after the vehicle is launched (ie: mean interval between failures). The mileage target MBTF _target is compared to determine whether the vehicle reliability level of the final vehicle before the market reaches the target. The formula is as follows:

表示汽车完成整车可靠性试验后的平均故障间隔里程估计值；α为常数，表示置信度参数，通常取值1％～10％；N表示完成汽车完成整车可靠性试验的累计故障数；D_i表示完成汽车完成整车可靠性试验的累计行驶里程。in,

Represents the estimated value of the average mileage between failures after the vehicle completes the vehicle reliability test; α is a constant, representing the confidence parameter, usually ranging from 1% to 10%; N represents the cumulative number of failures that complete the vehicle reliability test; D _i represents the cumulative mileage of the vehicle to complete the vehicle reliability test.

In addition to estimating the reliability index after the car is launched by comparing the estimated value of mileage between failures and the target mileage between failures, the reliability index of the car after the launch can also be estimated through the reliability growth curve. Specifically, this embodiment provides the following solution, including steps S21 to S24.

Step S21, after obtaining the historical test data of the vehicle to be evaluated in the previous test phase, determine the reliability target curve of the vehicle to be evaluated in the current test phase according to the historical test data;

Step S22, according to the reliability test data, determine the actual reliability curve of the vehicle model to be evaluated in the current test stage;

Step S23, according to the reliability target curve and the reliability actual curve, determine whether the reliability growth rate of the vehicle model to be evaluated in the current test stage conforms to the set growth rate.

Step S24, when the reliability growth rate of the vehicle to be evaluated in the current test phase does not meet the set growth rate, adjust the reliability test plan according to the reliability test data of the vehicle to be evaluated in the current test phase; according to the adjusted reliability The test plan is to carry out the vehicle reliability test in the next test stage of the vehicle to be evaluated.

绘制汽车可靠性增长曲线，如图3所示(图3仅仅为本实施例提供的示例曲线)。其中，图3中的汽车可靠性增长目标曲线的确定方式如下：Specifically, according to the parameters estimated during the reliability test of the vehicle

Draw a vehicle reliability growth curve, as shown in Figure 3 (Figure 3 is only an example curve provided in this embodiment). Among them, the determination method of the vehicle reliability growth target curve in Figure 3 is as follows:

For the above formula (2), take the shape parameter m as 0.4, and substitute the mean interval mileage target MTBF _target into the above formula (2) to obtain the total mileage required for the vehicle reliability test as t and generate the corresponding vehicle Reliability growth target curve. The abscissa of the vehicle reliability growth curve in Figure 3 is ln(t) and the ordinate is ln(MTBF).

As shown in Figure 3, if the actual reliability curve obtained is curve a, that is, the reliability growth curve is located on the reliability growth target curve, it is considered that the current vehicle reliability achievement risk is controllable (that is, the growth rate is in line with the set growth rate) ), as shown in curve a in Figure 3.

As shown in Figure 3, if the actual reliability curve obtained is curve b or c, that is, the reliability growth curve is completely below the reliability growth target curve (as shown in Figure 3 curve b), or passes through the reliability growth target After the curve shows a downward trend (as shown in curve c in Figure 3), it is considered that there is a risk in the reliability of the car (that is, the growth rate does not meet the set growth rate). When there is a risk in the achievement of vehicle reliability, the following measures can be taken: design some accelerated vehicle reliability tests for high-incidence failures, design specialties to improve the effectiveness of fault rectification measures, increase the total time of the test, and increase the sample size of the test, etc. .

To sum up, when implementing this embodiment, the following steps may be followed:

Determine the reliability index of the automobile market as MTBF;

In combination with the market failure data (including historical failure data and historical mileage data) of the same or similar models to be evaluated, set the automotive market reliability index target value MTBF _target ;

According to the test data of the previous test phase of the vehicle to be evaluated, determine the vehicle reliability test plan for the current test phase, which may include the setting of the total test mileage, the mileage allocation setting for different roads, the mileage allocation setting for different stowage, and the The mileage distribution setting of the ambient temperature, the function operation setting of the vehicle reliability test, etc.;

Carry out the whole vehicle test according to the vehicle reliability test plan of the current test stage, obtain the test results of the current test stage, compare the test results with the reliability index target value MTBF _target , and estimate the reliability level of the whole vehicle.

In this embodiment, the vehicle reliability performance verification of the vehicle is directly correlated with the reliability index of the vehicle market, so as to realize the risk assessment of the reliability performance of the vehicle during the test, and realize the market reliability after the vehicle completes the vehicle reliability test. The reliability level of the vehicle is estimated, so that the vehicle reliability performance verification can be matched to the market users to the greatest extent, and the maximum economic benefit of the verification cost can be achieved.

The reliability test scheme adopted in related technologies is mainly based on the OEM's own development experience, and the reliability test scheme of the whole vehicle is set: each prototype is equipped with 2 to 3 vehicles; the total test mileage of each prototype (40,000) km to 80,000 km), the mileage ratio of different roads, etc. are set based on experience, and there are problems such as insufficient verification or excessive verification. If there are test problems during the test, it is impossible to assess whether there is a risk of achieving the reliability of the current car and the reliability level of the car after the test is completed.

Compared with related technologies, this embodiment proposes a vehicle reliability test design method associated with the reliability index of the automobile market, which directly establishes a correlation between the vehicle reliability performance verification of the vehicle and the reliability index of the automobile market, and realizes the test in the test. Carry out Sino-French assessment on the risk of vehicle reliability performance, and realize the market reliability level estimation after the vehicle completes the vehicle reliability test, so as to match the vehicle reliability performance verification to the market users to the greatest extent, and realize the maximum verification cost. economic benefits.

Based on the same inventive concept, this embodiment provides a device for evaluating the reliability performance of a complete vehicle as shown in FIG. 4 , and the device includes:

The historical test data acquisition module 41 is used to acquire historical test data of the vehicle model to be evaluated;

The scheme determination module 42 is used to determine the reliability test scheme of the vehicle to be evaluated in the current test stage according to the historical test data;

The reliability test data determination module 43 is used for carrying out the whole vehicle reliability test in the current test stage of the vehicle to be evaluated according to the reliability test scheme, and obtaining the reliability test data in the current test stage;

The evaluation result determination module 44 is configured to determine the reliability level evaluation result of the vehicle model to be evaluated according to the reliability test data and the obtained reliability target data.

Further, the evaluation result determination module 44 includes a reliability target data acquisition module for:

According to the historical fault data and historical mileage data of the historical models, the reliability target data of the models to be evaluated are determined, and the historical models refer to the same or similar models as the models to be evaluated.

The reliability test plan includes at least one of the total test mileage setting plan, the mileage distribution setting plan for different road surfaces, the mileage distribution setting plan for different loads, the mileage distribution setting plan for different ambient temperatures, and the functional component operation setting plan. a scheme.

The device also includes:

The reliability target curve determination module is used to determine the reliability target curve of the vehicle to be evaluated in the current test stage according to the historical test data;

The reliability actual curve determination module is used to determine the reliability actual curve of the vehicle to be evaluated in the current test phase according to the reliability test data after obtaining the reliability test data of the current test phase;

The judgment module is used to determine whether the reliability growth rate of the vehicle to be evaluated in the current test stage conforms to the set growth rate according to the reliability target curve and the reliability actual curve.

The adjustment module is used to adjust the reliability test plan according to the reliability test data of the vehicle to be evaluated in the current test phase when the reliability growth rate of the vehicle to be evaluated in the current test stage does not meet the set growth rate; Reliability test plan, the vehicle to be evaluated is subjected to the reliability test of the whole vehicle in the next test stage.

Reliability test data includes failure rate data or mean interval between failure mileage.

The reliability test data includes the test data corresponding to the target failure in the vehicle to be evaluated, and the target failure includes the failure of the components in the vehicle to be evaluated that meet the design state.

Based on the same inventive concept, this embodiment provides an electronic device as shown in FIG. 5 , including:

processor 51;

memory 52 for storing instructions executable by processor 51;

Wherein, the processor 51 is configured to execute a method for evaluating the reliability performance of the whole vehicle.

Based on the same inventive concept, this embodiment provides a non-transitory computer-readable storage medium. When the instructions in the storage medium are executed by the processor 51 of the electronic device, the electronic device can be executed to achieve a vehicle reliability performance. assessment method.

Since the electronic device introduced in this embodiment is an electronic device used to implement the information processing method in the embodiment of this application, based on the information processing method introduced in the embodiment of this application, those skilled in the art can understand this implementation The specific implementation manner of the electronic device in the example and its various modifications, so how the electronic device implements the method in the embodiment of the present application will not be described in detail here. As long as the electronic devices used by those skilled in the art to implement the information processing methods in the embodiments of the present application fall within the scope of the intended protection of the present application.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each process and/or block in the flowchart illustrations and/or block diagrams, and combinations of processes and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flows of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Although preferred embodiments of the present invention have been described, additional changes and modifications to these embodiments may occur to those skilled in the art once the basic inventive concepts are known. Therefore, the appended claims are intended to be construed to include the preferred embodiment and all changes and modifications that fall within the scope of the present invention.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention. Thus, provided that these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims (10)

1. A method for evaluating the reliability performance of a complete vehicle, wherein the method comprises: Obtain historical test data of the vehicle to be evaluated; According to the historical test data, determine the reliability test plan of the vehicle to be evaluated in the current test stage; According to the reliability test scheme, the vehicle reliability test of the current test stage is performed on the vehicle to be evaluated, and the reliability test data of the current test stage is obtained; According to the reliability test data and the obtained reliability target data, the reliability level evaluation result of the vehicle model to be evaluated is determined. 2. The method of claim 1, wherein the acquiring reliability target data comprises: Reliability target data of the vehicle to be evaluated is determined according to historical fault data and historical mileage data of the historical vehicle, where the historical vehicle refers to a vehicle that is identical or similar to the vehicle to be evaluated. 3. The method according to claim 1, wherein the reliability test plan includes a test total mileage setting plan, a mileage allocation setting plan for different road surfaces, a mileage allocation setting plan for different stowage, and a different environment. At least one of a mileage distribution setting scheme for temperature and a function element operation setting scheme. 4. The method according to claim 1, characterized in that, after acquiring the historical test data of the vehicle model to be evaluated in the previous test stage, the method further comprises: According to the historical test data, determine the reliability target curve of the vehicle to be evaluated in the current test stage; After obtaining the reliability test data of the current test stage, the method further includes: According to the reliability test data, determine the actual reliability curve of the vehicle to be evaluated in the current test stage; According to the reliability target curve and the reliability actual curve, it is determined whether the reliability growth rate of the vehicle model to be evaluated in the current test stage conforms to the set growth rate. 5. The method according to claim 4, wherein when the reliability growth rate of the vehicle to be evaluated in the current test stage does not meet the set growth rate, the method further comprises: Adjust the reliability test plan according to the reliability test data of the vehicle to be evaluated in the current test stage; According to the adjusted reliability test plan, a whole vehicle reliability test in the next test stage is performed on the vehicle model to be evaluated. 6 . The method of claim 1 , wherein the reliability test data includes failure rate data or mean interval between failure mileage. 7 . 7 . The method of claim 1 , wherein the reliability test data comprises test data corresponding to a target fault in the vehicle to be evaluated, and the target fault comprises a design state of the vehicle to be evaluated. 8 . failure of components. 8. A device for evaluating reliability performance of a complete vehicle, wherein the device comprises: The historical test data acquisition module is used to acquire the historical test data of the vehicle to be evaluated; a scheme determination module, used for determining the reliability test scheme of the vehicle to be evaluated in the current test stage according to the historical test data; A reliability test data determination module, configured to perform a vehicle reliability test in the current test stage on the vehicle to be evaluated according to the reliability test scheme, and obtain reliability test data in the current test stage; The evaluation result determination module is used for determining the reliability level evaluation result of the vehicle to be evaluated according to the reliability test data and the obtained reliability target data. 9. An electronic device, characterized in that, comprising: processor; memory for storing instructions executable by the processor; Wherein, the processor is configured to execute to implement a method for evaluating the reliability performance of a complete vehicle according to any one of claims 1 to 7. 10. A non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the implementation of a method according to any one of claims 1 to 7. A method for evaluating the reliability performance of a vehicle.

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