CN114329921A - Method, device, equipment and medium for evaluating reliability performance of whole vehicle - Google Patents
Method, device, equipment and medium for evaluating reliability performance of whole vehicle Download PDFInfo
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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
Technical Field
The invention relates to the technical field of automobiles, in particular to a method, a device, equipment and a medium for evaluating the reliability performance of a whole automobile.
Background
The reliability of automobiles is regarded as one of the most important performances of automobiles, and is widely regarded by host factories and market users. The automobile can be subjected to a large number of whole automobile reliability tests in the research and development stage to test the reliability level of the automobile. The reliability test of the whole vehicle can cost a large amount of manpower, material resources, financial resources and the like of a host factory.
The design of the current reliability test scheme of the automobile mainly depends on the development experience of a host factory, the relevance of the feedback opinions of the automobile actually used by market users is not strong, and the reliability performance level after the automobile is produced cannot be evaluated in the automobile reliability test.
Disclosure of Invention
By providing the method, the device, the equipment and the medium for evaluating the reliability performance of the whole automobile, the technical problem that the reliability performance level after automobile production cannot be evaluated in the prior art is solved, and the technical effect of evaluating the reliability performance level after automobile production is achieved.
In a first aspect, the application provides a method for evaluating reliability performance of a whole vehicle, the method comprising:
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.
Further, obtaining reliability target data includes:
and determining reliability target data of the vehicle type to be evaluated according to historical fault data and historical mileage data of the historical vehicle type, wherein the historical vehicle type is the same as or similar to the vehicle type to be evaluated.
Further, the reliability test scheme comprises at least one scheme of a test total mileage setting scheme, a mileage distribution setting scheme of different road surfaces, a mileage distribution setting scheme of different loads, a mileage distribution setting scheme of different environmental temperatures and a function operation setting scheme.
Further, after obtaining the historical test data of the vehicle type to be evaluated in the last test stage, the method further comprises the following steps:
determining a reliability target curve of the vehicle type to be evaluated in the current test stage according to historical test data;
after obtaining the reliability test data of the current test stage, the method further comprises:
determining a reliability actual curve of the vehicle type to be evaluated at the current test stage according to the reliability test data;
and determining whether the reliability increase rate of the vehicle type to be evaluated in the current test stage meets the set increase rate or not according to the reliability target curve and the reliability actual curve.
Further, when the reliability growth rate of the vehicle type to be evaluated in the current test stage does not accord with the set growth rate, the method further comprises the following steps:
adjusting a reliability test scheme according to reliability test data of the vehicle type to be evaluated in the current test stage;
and carrying out the whole vehicle reliability test of the next test stage on the vehicle type to be evaluated according to the adjusted reliability test scheme.
Further, the reliability test data includes fault rate data or mean fault interval mileage.
Further, the reliability test data comprises test data corresponding to target faults in the vehicle type to be evaluated, and the target faults comprise faults of parts which meet the design state in the vehicle type to be evaluated.
In a second aspect, the present application provides an apparatus for evaluating reliability performance of a finished vehicle, the apparatus comprising:
the historical test data acquisition module is used for acquiring historical test data of the vehicle type to be evaluated;
the scheme determining module is used for determining a reliability test scheme of the vehicle type to be evaluated in the current test stage according to the historical test data;
the reliability test data determining module is used for carrying out a whole vehicle reliability test of a current test stage on a vehicle type to be evaluated according to the reliability test scheme to obtain reliability test data of the current test stage;
and the evaluation result determining module is used for determining the reliability level evaluation result of the vehicle type to be evaluated according to the reliability test data and the acquired reliability target data.
In a third aspect, the present application provides an electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute to implement an overall vehicle reliability performance assessment method.
In a fourth aspect, the present application provides a non-transitory computer readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform a method for implementing an assessment of vehicle reliability performance.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
the application provides a complete vehicle reliability test design method related to an automobile market reliability index, which directly establishes relevance between complete vehicle reliability performance verification of an automobile and the automobile market reliability index, realizes evaluation aiming at the reliability performance achievement risk of the automobile in a test proceeding process, and realizes market reliability level estimation after the automobile completes a complete vehicle reliability test, so that the complete vehicle reliability performance verification of the automobile is matched with market users to be used to the maximum extent, and the maximum economic benefit of verification cost is realized.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for evaluating reliability performance of a finished automobile according to the present application;
FIG. 2 is a schematic view of a bathtub curve provided by the present application;
FIG. 3 is a schematic diagram of a reliability growth curve provided by the present application;
fig. 4 is a schematic structural diagram of an evaluation device for reliability performance of a finished automobile according to the present application;
fig. 5 is a schematic structural diagram of an electronic device provided in the present application.
Detailed Description
The embodiment of the application provides the method for evaluating the reliability performance of the whole automobile, and solves the technical problem that the reliability performance level after automobile production cannot be evaluated in the prior art.
In order to solve the technical problems, the general idea of the embodiment of the application is as follows:
a method for evaluating reliability performance of a whole vehicle 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 embodiment provides a complete vehicle reliability test design method related to an automobile market reliability index, which directly establishes relevance between complete vehicle reliability performance verification of an automobile and the automobile market reliability index, realizes assessment aiming at the reliability performance achievement risk of the automobile in a test process, and realizes market reliability level estimation after the automobile completes a complete vehicle reliability test, so that the complete vehicle reliability performance verification of the automobile is matched with market users to be used to the maximum extent, and the maximum economic benefit of verification cost is realized.
In order to better understand the technical solution, the technical solution will be described in detail with reference to the drawings and the specific embodiments.
First, it is stated that the term "and/or" appearing herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The embodiment provides an evaluation method for reliability performance of a whole vehicle as shown in fig. 1, and the method includes steps S11-S14.
And step S11, acquiring historical test data of the vehicle type to be evaluated.
And step S12, determining the reliability test scheme of the vehicle type to be evaluated at the current test stage according to the historical test data.
And step S13, according to the reliability test scheme, carrying out the whole vehicle reliability test of the current test stage on the vehicle type to be evaluated to obtain the reliability test data of the current test stage.
And step S14, determining the reliability level evaluation result of the vehicle type to be evaluated according to the reliability test data and the acquired reliability target data.
In step S11, the historical test data may be data obtained by the vehicle type to be evaluated in the last test stage, or may be test data obtained by integrating all test stages executed before the vehicle type to be evaluated, or may be historical test data of the same or similar vehicle type as the vehicle type to be evaluated, which is not limited in this embodiment.
The historical test data may be a fault rate or an average fault interval mileage.
The failure rate refers to 3mis, 6mis or 12mis (in the embodiment, it is abbreviated as jmis, j takes 3,6 or 12), and 3mis generally represents the failure rate after tracking a total of 1000 automobiles for 3 months; 6mis represents the failure rate of 1000 automobiles on the market in total after 6 months; 12mis represents the failure rate after tracking a total of 12 months after the sale of 1000 cars.
The mean fault interval mileage, abbreviated as mtbf (mean Time Between failures), refers to the average distance Between two failures in the total number of failures of all vehicles (assemblies or parts) in the reliability check driving limit mileage, wherein a batch of vehicles (assemblies or parts) in the same model and the same technical state are driven according to the specified conditions.
In addition, jmis and MTBF can be converted into each other, and a specific conversion formula is shown as a formula (1). Therefore, it is theoretically feasible to select one of the two as the design index of the vehicle reliability test (i.e. the historical test data mentioned in step S11 and the reliability test data mentioned in step S13), and the MTBF will be taken as an example for explanation in the following. Of course, the scheme provided by the embodiment is also suitable for selecting the failure rate jmis as the design index of the whole automobile reliability test.
MTBF represents mean fault interval mileage; jmis represents the failure rate after tracking a total of M cars on the market for j months, j belongs to [3,6,12 ]](ii) a M represents the number of tracked sample vehicles; d represents the accumulated driving mileage of j months after the ith sample vehicle in the total M vehicles is tracked;
represents the average driving mileage of j months after tracking the total M automobiles on the market.
In step S12, according to the acquired historical test data, the reliability test scheme used in the previous test stage (the test scheme of the previous test stage in this embodiment is taken as an example for subsequent description) may be adaptively adjusted, so as to determine the reliability test scheme of the vehicle type to be evaluated in the current test stage.
The reliability test scheme may include at least one of a test total mileage setting scheme, a mileage distribution setting scheme for different road surfaces, a mileage distribution setting scheme for different loads, a mileage distribution setting scheme for different environmental temperatures, and a function operation setting scheme.
The above reliability test schemes will now be described one by one.
[ Experimental Total Mileage setting plan ]
The method for counting the historical test data of the vehicle type to be evaluated comprises the following steps: the accumulated failure number N and the accumulated driving mileage t of the test0The mean-time between failure mileage MTBF with a confidence level of 1-alpha can be estimated0. In this embodiment, a whole vehicle reliability test is designed based on a theory of reliability increase, and a formula (2) can be obtained.
ln(MTBF)＝ln(MTBF0)+m[ln(t)-ln(t0)] (2)
Wherein t represents the test accumulated driving mileage; m is a constant and represents a shape parameter, specifically the speed of the fault descending, and generally the value of m is 0.3-0.6; when m is within the range of 0.1-0.3, failure correction efficiency is low; when the error is within the range of 0.6-0.7, a powerful correcting means adopted in the failure is shown; t is t0Is a constant and represents the accumulated driving mileage of the previous stage test; MTBF (methyl tert-butyl ether)0The average fault interval mileage of the previous stage test is expressed as a constant and a size parameter.
(Mileage allocation setting scheme for different road surfaces)
The mileage distribution setting scheme of different road surfaces is mainly characterized in that the mileage distribution of market users on different road surfaces in one year is obtained. For example, as shown in table 1, the market users are allocated driving mileage on different roads within 1 year.
TABLE 1
Assuming that N sample vehicles (N is a positive integer) are used in total to perform the reliability test of the whole vehicle, the driving distance of each sample vehicle on different road surfaces can refer to the formula (3) and the formula (4).
Ai＝A×K_i (4)
Wherein A represents the driving mileage of each sample vehicle; a. theiRepresents the driving mileage of each sample vehicle on different road surfaces i, i belongs to [1,7 ]](ii) a T represents the total driving mileage of the N sample vehicles; n represents the number of sample vehicles; k _ i represents the mileage distribution ratio of different road surfaces i, i ∈ [1,7 ]]。
In particular, it is preferable that each of the automobiles is driven on different road surfaces in a state not exceeding a maximum speed prescribed by a traffic regulation, and that a violent driving operation such as a sudden acceleration, a sudden deceleration, or the like is performed as much as possible under a condition satisfying a safe driving, so that a limit state of each of the automobiles can be expressed to cover a limit driving state which the automobile may encounter in an actual driving.
(mileage allocation setting scheme for different stowage)
The mileage allocation setting scheme of different loads can be determined according to the load investigation result of the automobile actually used by the market user and the load proportion (no-load, half-load and full-load) of each automobile on different roads. For example: the proportion of the load (25% empty, 50% half load, 25% full) can be taken as a rule, and a more severe proportion (50% half load, 50% full) can also be defined.
(Mileage allocation setting scheme for different environmental temperatures)
The vehicle model to be evaluated in the scheme provided by the embodiment mainly refers to a vehicle model running in a middle city area, and does not include a sales vehicle model specially aiming at a hot area (such as the area of Turpan and the like) and a cold area (such as the area of black river and the like). Therefore, formula (5) to formula (8) can be referred to when setting the mileage proportion of each vehicle at different ambient temperatures.
Dtest_nom＝1-Dtest_hot-Dtest_col (8)
Wherein D ishotThe constant represents the proportion of the mileage of the market user driving the automobile in summer, and the value range is usually 20-30%; dcolThe constant represents the proportion of the mileage in winter of a market user driving an automobile, and the value range is usually 20-30%; alpha is alpha1Representing the acceleration coefficient of the hot zone test of the reliability test of the whole vehicle; ea is a constant, which represents the activation energy of the failure reaction and generally takes the value of 0.45; k is a constant, representing the boltzmann parameter, and generally takes the value 8.617e-5；Ttest_hotRepresents the average temperature in summer of the hot zone test field, and the unit is; t iscity_hotRepresents the average temperature of the king-market in summer, and has the unit of; alpha is alpha2The constant represents the acceleration coefficient of the whole vehicle reliability test in the cold region test, and the value range is usually 1.2-1.8; dtest_hotThe mileage proportion of the whole vehicle reliability test in the hot zone is represented; dtest_colThe mileage proportion of the whole vehicle reliability test in a cold region is represented; dtest_nomAnd the mileage proportion of the whole vehicle reliability test in a common city is shown.
[ function setting plan ]
More functions on the automobile are repeatedly operated to effectively check the reliability of the functions, so that the operation of the automobile functions needs to be considered when designing the reliability test of the whole automobile. The vehicle reliability test method is generally combined with a vehicle function list defined by a vehicle product, and the vehicle function list is operated in a vehicle reliability test to test the reliability performance of the vehicle.
TABLE 2
For example, referring to the functional elements in the verification range of the vehicle reliability test in table 2, the operation is added during the performance of the vehicle reliability test. For example, various functions of air conditioning, music entertainment, control switches, lifting of door glass, opening and closing of an oil filling/charging port cover, opening and closing of an electric opening and closing member, clamping prevention, opening and closing of a sunroof, and the like are operated.
According to the bathtub curve shown in fig. 2, the automobile can reach the second stage market reliability (stable reliability curve interval) of the bathtub curve 3-6 months after the automobile is on the market. Therefore, when the function operation setting scheme is determined, the target operation times of the D month used by the market users with the beta percentage can be covered, and the target operation times cannot be exceeded by the market users with the 1-beta percentage in the D month used by the automobile. Beta is a constant, and is usually 1% to 10%. D is a constant, and is usually taken for 12 months. Covering the number of operations of D months used by market users with the percentile of beta.
The specific obtaining method may be that, for a batch of market users, the operation times of each user operating each function of the automobile and the service time of the automobile are collected, the operation times of the user operating the automobile function part are set to conform to two-parameter weibull distribution, a weibull curve f (t) is solved, and if f (t) is 1-beta, the following calculation is performed: covering the operation times t of using D months by market users with the percentile of betaDReference may be made to formula (9) -formula (18).
According to
The values are reordered from small to large as:
wherein m is a constant and represents a proportional parameter; eta is a constant and represents a state parameter; t represents the number of operations; f (t) represents the cumulative distribution function value; m represents the total number of users in the research market; n isiThe number of times of operation of using a certain functional part of the automobile by a market user i in research is shown; piShowing the current time from the use of a purchased vehicle to the investigation of a market user i in the investigation; d represents the set number of months used by the market user;
the operation times of using a certain functional part in D months of the automobile by i equivalent of a researched market user are shown;
indicates the number of operations as
Corresponding cumulative distribution function values; xj、YjRepresenting the calculated intermediate variable;
intermediate parameters representing the calculation: estimated values of the parameter a and the parameter b;
representing the estimated values of the proportional parameter m and the state parameter eta; t is tDRepresenting the number of operations covering a market user with a percentile beta using D months.
In step S13, according to the reliability test scheme determined in step S12, the entire vehicle reliability test at the current test stage is performed on the vehicle type to be evaluated, and the reliability test data at the current test stage is obtained.
The reliability test data comprises test data corresponding to target faults in the vehicle type to be evaluated, and the target faults comprise faults of parts meeting the design state in the vehicle type to be evaluated. That is, when the reliability test of the whole automobile is performed, the type of the fault needs to be identified, and the fault is not included in the reliability fault, i.e., not classified as a target fault, for example, a repeated fault, a dependent fault, a fault caused by incorrect operation, a fault which has been effectively corrected but occurs again without introducing a corrective measure, a fault occurring in a part which does not satisfy a design state, and the like. The target fault mainly refers to a part meeting the design state, but still has a fault, influences the use of a user, and can be eliminated only through analysis and rectification.
In step S14, reliability target data is acquired including: and determining reliability target data of the vehicle type to be evaluated according to historical fault data and historical mileage data of the historical vehicle type, wherein the historical vehicle type is the same as or similar to the vehicle type to be evaluated.
That is, the reliability target data is determined from the historical failure data and the historical mileage data of the historical vehicle type that is the same as or similar to the vehicle type to be evaluated. Specifically, there is a study showing that the failure rate λ (t) of the car after the car is on the market is a bathtub curve with time, as shown in fig. 2. Failure rate λ (t): the probability that a product which is not invalid at a certain moment is invalid after the product is worked, and the product is invalid in unit time after the moment; generally denoted as λ, which is also a function of time t, and hence also denoted as λ (t), is referred to as a failure rate function, and sometimes also as a failure rate function or risk function.
As can be seen from fig. 2, the second stage market reliability (stable reliability curve interval) of the bathtub curve can be reached only 3 to 6 months after the automobile is on the market, so the reliability is evaluated by using the failure rate data of more than 6 months in the embodiment, for example, the reliability after the automobile is on the market is evaluated by using the failure rate data of 12 months after the automobile is on the market.
As shown in fig. 2, the second segment of the bathtub curve is the automotive market reliability, whose distribution belongs to an exponential distribution (also called negative exponential distribution, is a probability distribution describing the time between events in the poisson process, i.e. the process where events occur continuously and independently at a constant average rate), whose formula is as follows:
wherein, f (X) represents a probability density function (probability density function: in mathematics, the probability density function of a continuous random variable is a function describing the probability of the output value of the random variable near a certain value-taking point, and the probability that the value of the random variable falls in a certain area is the integral of the probability density function on the area; x represents work time or work mileage; MTBF represents mean fault interval mileage; theta is a constant, specifically an index distribution constant.
For example, in the present embodiment, after the post-sale failures after the sale of a total of 1000 cars for 12 months are tracked for a certain car type that has been on the market, information such as the total number of failures that have occurred in the 1000 cars, and the mileage that has occurred for each failure can be obtained. Based on the data information, the market reliability index (i.e. reliability target data) MTBF of the vehicle type on the market can be estimated, so as to make reliability target data of the developed vehicle type, wherein the formula is as follows:
wherein,
representing the average fault interval mileage estimation value with confidence coefficient of 1-alpha after tracking total M vehicles in the market for 12 months; gamma is constant, mean fault interval mileage target adjustmentInteger coefficient; MTBF (methyl tert-butyl ether)targetRepresenting a target mean-time-between-failure mileage; alpha is a constant and represents a confidence coefficient parameter, and the value is usually 1 to 10 percent; n represents the accumulated failure number after tracking the total M vehicles to be listed for 12 months; diRepresents the accumulated driving mileage after tracking the total of M automobiles on the market for 12 months.
By combining the above calculation, the automobile market reliability index value to be verified by the finished automobile reliability verification test can be obtained: target mean-time between failures mileage MTBFtargetAnd the confidence coefficient 1-alpha corresponding to the target mean fault interval mileage.
In the process of a reliability test of an automobile, the reliability growth model parameters of the automobile can be estimated, so that the automobile is judged to reach the set reliability target data, and the estimation formula of the reliability growth model parameters of the automobile is as follows:
wherein,
representing the estimated value of the shape parameter m of the automobile in the whole automobile reliability test;
shows the size parameter MTBF of the automobile during the whole automobile reliability test0An estimated value of (d); z represents the total number of faults; t is tiIndicating a mileage at which the failure occurred; MTBF (methyl tert-butyl ether)cThe mean-time fault mileage for the accumulated total fault is indicated.
After the automobile completes the whole automobile reliability test in the current test stage, the average fault interval mileage MBTF with the automobile confidence coefficient of 1-alpha can be statistically estimated and compared with the originally set reliability index (namely, the average fault interval after the automobile is on the market)Mileage target MBTFtargetAnd comparing to judge whether the finished automobile reliability level of the automobile before the automobile is on the market finally achieves the target, wherein the formula is as follows:
wherein,
representing the average fault interval mileage estimated value after the automobile completes the whole automobile reliability test; alpha is a constant and represents a confidence coefficient parameter, and the value is usually 1 to 10 percent; n represents the accumulated failure number of the finished automobile to finish the reliability test of the whole automobile; diAnd the accumulated driving mileage of the finished automobile in the reliability test is shown.
In addition to the estimation of the reliability index after the automobile is on the market by comparing the average fault interval mileage estimation value with the average fault interval mileage target, the reliability index after the automobile is on the market can be estimated by a reliability growth curve. Specifically, the present embodiment provides a scheme including steps S21 to S24.
Step S21, after obtaining the historical test data of the vehicle type to be evaluated in the last test stage, determining the reliability target curve of the vehicle type to be evaluated in the current test stage according to the historical test data;
step S22, determining a reliability actual curve of the vehicle type to be evaluated in the current test stage according to the reliability test data;
and step S23, determining whether the reliability growth rate of the vehicle type to be evaluated in the current test stage meets the set growth rate or not according to the reliability target curve and the reliability actual curve.
Step S24, when the reliability growth rate of the vehicle type to be evaluated in the current test stage does not accord with the set growth rate, the reliability test scheme is adjusted according to the reliability test data of the vehicle type to be evaluated in the current test stage; and carrying out the whole vehicle reliability test of the next test stage on the vehicle type to be evaluated according to the adjusted reliability test scheme.
Specifically, the parameters are estimated according to the reliability test process of the automobile
An automobile reliability growth curve is plotted as shown in fig. 3 (fig. 3 is merely an exemplary curve provided for the present embodiment). The determination method of the automobile reliability increase target curve in fig. 3 is as follows:
according to the formula (2), the shape parameter m is taken as 0.4, and the mean fault interval mileage target MTBF is calculatedtargetSubstituting the obtained result into the formula (2), calculating the total mileage required by the whole vehicle reliability test as t and generating a corresponding vehicle reliability increase target curve. In fig. 3, the abscissa of the reliability increase curve of the automobile is ln (t), and the ordinate is ln (mtbf).
As shown in fig. 3, if the obtained reliability actual curve is a curve a, that is, the reliability increase curve is located on the reliability increase target curve, it is determined that the current reliability of the vehicle achieves risk controllability (that is, the increase rate meets the set increase rate), as shown in a curve a in fig. 3.
As shown in fig. 3, if the obtained reliability actual curve is a curve b or c, that is, the reliability increase curve is completely located below the reliability increase target curve (as shown in a curve b in fig. 3), or the reliability increase target curve is crossed and then shows a decreasing trend (as shown in a curve c in fig. 3), it is considered that there is a risk that the reliability performance of the automobile is achieved (that is, the increase rate does not meet the set increase rate). When the reliability of the automobile is achieved and risks exist, the following measures can be taken: the method is characterized by designing some accelerated whole-vehicle reliability tests aiming at high-occurrence faults, designing specialities to improve the effectiveness of fault rectification measures, increasing the total test time, increasing the test sample amount and the like.
In summary, in the specific implementation of the present embodiment, the following steps may be performed:
determining the reliability index of the automobile market as MTBF;
setting the target value of the automobile market reliability index by combining the market fault data (including historical fault data and historical mileage data) of the automobile model which is the same as or similar to the automobile model to be evaluatedMTBFtarget；
Determining a finished automobile reliability test scheme of a current test stage according to test data of a past test stage of a vehicle type to be evaluated, wherein the finished automobile reliability test scheme specifically comprises test total mileage setting, mileage distribution setting of different road surfaces, mileage distribution setting of different loads, mileage distribution setting of different environmental temperatures, functional part operation setting of a finished automobile reliability test and the like;
carrying out the whole vehicle test according to the whole vehicle reliability test scheme of the current test stage to obtain the test result of the current test stage, and comparing the test result with the reliability index target value MTBFtargetAnd estimating the reliability level of the whole vehicle.
In the embodiment, the relevance is directly established between the finished automobile reliability verification of the automobile and the automobile market reliability index, the assessment of the risk of the automobile for the reliability performance achievement by the method in the process of the test is realized, and the market reliability level estimation after the automobile completes the finished automobile reliability test is realized, so that the finished automobile reliability verification is matched with market users to be used to the maximum extent, and the maximum economic benefit of the verification cost is realized.
The reliability test scheme adopted in the related technology is mainly based on the self development experience of a host factory, and the whole vehicle reliability test scheme is set as follows: 2-3 trolleys are configured for each sample vehicle; the total test mileage (4-8 ten thousand kilometers) of each sample car, the running mileage proportion of different roads and the like are set according to experience, and the problems of insufficient verification or excessive verification exist. If a test problem occurs in the test, whether the current reliability performance of the automobile has the achievement risk or not and the reliability level of the automobile after the test is finished cannot be evaluated.
Compared with the related art, the embodiment provides a complete vehicle reliability test design method related to the vehicle market reliability index, the complete vehicle reliability performance verification of the vehicle is directly related to the vehicle market reliability index, the assessment of the risk of achieving the vehicle reliability performance in the test process is realized, the market reliability level estimation of the vehicle after the complete vehicle reliability test is completed is realized, the complete vehicle reliability performance verification of the vehicle is matched with market users to be used to the maximum extent, and the maximum economic benefit of the verification cost is realized.
Based on the same inventive concept, the present embodiment provides an apparatus for evaluating reliability performance of a whole vehicle as shown in fig. 4, the apparatus including:
a historical test data acquisition module 41, configured to acquire historical test data of a vehicle type to be evaluated;
the scheme determining module 42 is configured to determine a reliability test scheme of the vehicle type to be evaluated at the current test stage according to the historical test data;
the reliability test data determining module 43 is configured to perform a complete vehicle reliability test of a current test stage on a vehicle type to be evaluated according to the reliability test scheme to obtain reliability test data of the current test stage;
and the evaluation result determining module 44 is configured to determine a reliability level evaluation result of the vehicle type to be evaluated according to the reliability test data and the acquired reliability target data.
Further, the evaluation result determination module 44 includes a reliability target data acquisition module for:
and determining reliability target data of the vehicle type to be evaluated according to historical fault data and historical mileage data of the historical vehicle type, wherein the historical vehicle type is the same as or similar to the vehicle type to be evaluated.
The reliability test scheme comprises at least one scheme of a test total mileage setting scheme, a mileage distribution setting scheme of different road surfaces, a mileage distribution setting scheme of different loads, a mileage distribution setting scheme of different environmental temperatures and a function part operation setting scheme.
The device still includes:
the reliability target curve determining module is used for determining a reliability target curve of the vehicle type to be evaluated in the current test stage according to historical test data;
the reliability actual curve determining module is used for determining a reliability actual curve of the vehicle type to be evaluated in the current test stage according to the reliability test data after the reliability test data of the current test stage are obtained;
and the judging module is used for determining whether the reliability growth rate of the vehicle type to be evaluated at the current test stage meets the set growth rate or not according to the reliability target curve and the reliability actual curve.
The adjusting module is used for adjusting the reliability test scheme according to the reliability test data of the vehicle type to be evaluated in the current test stage when the reliability increase rate of the vehicle type to be evaluated in the current test stage does not accord with the set increase rate; and carrying out the whole vehicle reliability test of the next test stage on the vehicle type to be evaluated according to the adjusted reliability test scheme.
The reliability test data includes failure rate data or mean failure interval mileage.
The reliability test data comprises test data corresponding to target faults in the vehicle type to be evaluated, and the target faults comprise faults of parts meeting the design state in the vehicle type to be evaluated.
Based on the same inventive concept, the present embodiment provides an electronic device as shown in fig. 5, including:
a processor 51;
a memory 52 for storing instructions executable by the processor 51;
wherein the processor 51 is configured to execute to implement an overall vehicle reliability performance assessment method.
Based on the same inventive concept, the present embodiment provides a non-transitory computer-readable storage medium, when instructions in the storage medium are executed by the processor 51 of the electronic device, the electronic device is enabled to execute an evaluation method for realizing reliability performance of the entire vehicle.
Since the electronic device described in this embodiment is an electronic device used for implementing the method for processing information in this embodiment, a person skilled in the art can understand the specific implementation manner of the electronic device of this embodiment and various variations thereof based on the method for processing information described in this embodiment, and therefore, how to implement the method in this embodiment by the electronic device is not described in detail here. Electronic devices used by those skilled in the art to implement the method for processing information in the embodiments of the present application are all within the scope 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, and the like) 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 flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such 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 such modifications and variations.
Claims (10)
1. A method for evaluating reliability performance of a whole vehicle is characterized by comprising 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 the historical test data;
according to the reliability test scheme, carrying out a whole vehicle reliability test of the current test stage on the 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.
2. The method of claim 1, wherein said obtaining reliability target data comprises:
and determining reliability target data of the vehicle type to be evaluated according to historical fault data and historical mileage data of a historical vehicle type, wherein the historical vehicle type is the same as or similar to the vehicle type to be evaluated.
3. The method of claim 1, wherein the reliability test protocol includes at least one of a test total mileage setting protocol, a mileage allotment setting protocol for different road surfaces, a mileage allotment setting protocol for different loads, a mileage allotment setting protocol for different ambient temperatures, and a function operation setting protocol.
4. The method of claim 1, wherein after obtaining the historical test data of the vehicle type to be evaluated in the last test stage, the method further comprises:
determining a reliability target curve of the vehicle type to be evaluated in the current test stage according to the historical test data;
after obtaining reliability test data of the current test stage, the method further comprises:
determining a reliability actual curve of the vehicle type to be evaluated in the current test stage according to the reliability test data;
and determining whether the reliability increase rate of the vehicle type to be evaluated in the current test stage meets a set increase rate or not according to the reliability target curve and the reliability actual curve.
5. The method as claimed in claim 4, wherein when the reliability growth rate of the vehicle model to be evaluated in the current test stage does not meet the set growth rate, the method further comprises:
adjusting the reliability test scheme according to the reliability test data of the vehicle type to be evaluated in the current test stage;
and carrying out the whole vehicle reliability test of the next test stage on the vehicle type to be evaluated according to the adjusted reliability test scheme.
6. The method of claim 1, in which the reliability test data comprises failure rate data or mean failure interval mileage.
7. The method of claim 1, wherein the reliability test data includes test data corresponding to a target fault in the vehicle model to be evaluated, and the target fault includes a fault occurring in a part satisfying a design condition in the vehicle model to be evaluated.
8. An assessment device for reliability performance of a whole vehicle is characterized by comprising:
the historical test data acquisition module is used for acquiring historical test data of the vehicle type to be evaluated;
the scheme determining module is used for determining a reliability test scheme of the vehicle type to be evaluated in the current test stage according to the historical test data;
the reliability test data determining module is used for carrying out a whole vehicle reliability test of the vehicle type to be evaluated in the current test stage according to the reliability test scheme to obtain reliability test data of the current test stage;
and the evaluation result determining module is used for determining the reliability level evaluation result of the vehicle type to be evaluated according to the reliability test data and the acquired reliability target data.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute to implement an overall vehicle reliability performance assessment method as claimed in any one of claims 1 to 7.
10. A non-transitory computer readable storage medium, wherein instructions that, when executed by a processor of an electronic device, enable the electronic device to perform a method of assessing vehicle reliability performance as claimed in any one of claims 1 to 7.
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| CN202111510127.4A CN114329921A (en) | 2021-12-10 | 2021-12-10 | Method, device, equipment and medium for evaluating reliability performance of whole vehicle |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114861333A (en) * | 2022-07-06 | 2022-08-05 | 岚图汽车科技有限公司 | Method, device, equipment and medium for acquiring parameters of bathtub curve of automobile reliability |
| CN114897541A (en) * | 2022-05-11 | 2022-08-12 | 襄阳达安汽车检测中心有限公司 | Vehicle after-sale failure rate prediction method, device, equipment and readable storage medium |
| CN114913625A (en) * | 2022-04-25 | 2022-08-16 | 岚图汽车科技有限公司 | Processing method and device for vehicle road test |
| CN116046415A (en) * | 2023-01-19 | 2023-05-02 | 江铃汽车股份有限公司 | Whole vehicle functional part reliability bench verification method, system and whole vehicle verification bench |
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2021
- 2021-12-10 CN CN202111510127.4A patent/CN114329921A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114913625A (en) * | 2022-04-25 | 2022-08-16 | 岚图汽车科技有限公司 | Processing method and device for vehicle road test |
| CN114897541A (en) * | 2022-05-11 | 2022-08-12 | 襄阳达安汽车检测中心有限公司 | Vehicle after-sale failure rate prediction method, device, equipment and readable storage medium |
| CN114861333A (en) * | 2022-07-06 | 2022-08-05 | 岚图汽车科技有限公司 | Method, device, equipment and medium for acquiring parameters of bathtub curve of automobile reliability |
| CN114861333B (en) * | 2022-07-06 | 2022-10-21 | 岚图汽车科技有限公司 | Method, device, equipment and medium for acquiring parameters of bathtub curve of automobile reliability |
| CN116046415A (en) * | 2023-01-19 | 2023-05-02 | 江铃汽车股份有限公司 | Whole vehicle functional part reliability bench verification method, system and whole vehicle verification bench |
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