CN114860281A - Electronic equipment, vehicle, and vehicle upgrade evaluation method, device and system - Google Patents

Electronic equipment, vehicle, and vehicle upgrade evaluation method, device and system Download PDF

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CN114860281A
CN114860281A CN202210457096.9A CN202210457096A CN114860281A CN 114860281 A CN114860281 A CN 114860281A CN 202210457096 A CN202210457096 A CN 202210457096A CN 114860281 A CN114860281 A CN 114860281A
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score
upgrade
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王发平
刘晴晴
邱杰
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Shenzhen Haixing Zhijia Technology Co Ltd
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Abstract

The invention discloses electronic equipment, a vehicle upgrade evaluation method, a device and a system, wherein the vehicle upgrade evaluation method comprises the following steps: acquiring a promotion case set corresponding to the upgrade version; determining the weight of each use case according to the correlation degree of each use case in the promotion use case set and user experience; evaluating the upgraded version by utilizing the upgrading case set to obtain the score of each case in the upgrading case set; and obtaining the upgrade effect evaluation of the upgrade version according to the score and the weight of each use case. According to the vehicle upgrading method and device, the vehicle upgrading effect is evaluated by the aid of the upgrading case set, so that the improvement of the upgraded vehicle can be displayed to a user more visually, the user can know the improvement of the vehicle performance more clearly, meanwhile, the vehicle can be dynamically tested by the aid of the upgrading case set, and the upgrading effect of the vehicle is consistent with the actual experience of the user.

Description

Electronic equipment, vehicle, and vehicle upgrade evaluation method, device and system
Technical Field
The invention relates to the technical field of intelligent networked automobiles, in particular to electronic equipment, a vehicle and a vehicle upgrade evaluation method, device and system.
Background
With the popularization of new energy vehicles, OTA remote upgrading of the vehicles gradually enters the visual field of people. OTA remote upgrade can continuously expand the functions of the vehicle and optimize the existing functions. In short, the functions and experiences of the vehicle are the same in the whole life cycle without the OTA remote upgrading vehicle; and the car with OTA remote upgrade can be continuously improved in function, and the user experience is improved.
Currently, there are many evaluation methods before and after the OTA upgrade, for example, after the upgrade, the problem to be solved after the upgrade is described in a text form, or the current prediction of the future health condition of the system is given by using an empirical data model, or the health condition of the battery is evaluated, or the health condition of the vehicle is evaluated by introducing a fault diagnosis system. However, the above evaluation method mainly focuses on the testing of functions and does not relate to the user experience.
Meanwhile, the effect of the OTA after upgrading is difficult to be immediately perceived by the user. For example, for the upgrading of various sensor signals, although the speed after upgrading is improved compared with that before upgrading, the speed of the sensor is originally high and exceeds the perception range of people, so that the user cannot perceive the upgrading optimization of the type; for the endurance mileage of the battery, the user can sense that the endurance mileage of the battery is enhanced only after the vehicle runs for a period of time; with regard to the performance of the motor and the brake system, the user knows that the performance of the motor and the brake system is improved only after the vehicle is operated. However, after the vehicle runs for a period of time, the performance of the vehicle detected by the detection device may be different from the upgrade completion time due to the difference between the running environment and the upgrade completion time.
In summary, the existing evaluation method cannot provide accurate feedback of the upgrading effect related to experience for the user, and further, the user does not feel the effect of the OTA upgrading, and feels that the OTA upgrading is not necessary or even worrys about problems caused by errors in the upgrading process, so that negative attitude is provided for the OTA upgrading, and the application of the OTA upgrading is influenced.
Disclosure of Invention
Therefore, the invention provides an electronic device, a vehicle upgrade evaluation method, a vehicle upgrade evaluation device and a vehicle upgrade evaluation system, aiming at solving the problem that the existing evaluation method cannot provide accurate upgrade effect feedback related to experience for a user.
In order to achieve the purpose, the invention adopts the following technical scheme:
according to a first aspect, an embodiment of the present invention provides a vehicle upgrade evaluation method, including: acquiring a promotion case set corresponding to the upgrade version; determining the weight of each use case according to the correlation degree of each use case in the promotion use case set and user experience; evaluating the upgraded version by using the promotion case set to obtain the score of each case in the promotion case set; and obtaining the upgrading effect evaluation of the upgrading version according to the score and the weight of each use case.
Optionally, the obtaining of the upgrade effect evaluation of the upgraded version according to the score and the weight of each use case includes: determining the score of each use case according to the number of the use cases belonging to the same type in the promotion use case set; and obtaining the upgrade effect evaluation of the upgrade version according to the score, the score and the weight of each use case.
Optionally, the evaluating the upgraded version by using the promoted use case set, and obtaining a score of each use case includes: for any use case, when the running result of the use case in the upgraded version is True, the score of the use case is 1; when the running result of the use case in the upgraded version is False, the score of the use case is 0; when the running result of the use case in the upgraded version is a numerical value, sending the numerical value to a cloud end, and obtaining the score of the use case, which is obtained by sequencing the use case based on the numerical value by the cloud end; and traversing each use case in the promotion use case set to obtain the score of each use case in the promotion use case set.
Optionally, the determining the score of each use case according to the number of use cases belonging to the same type in the promoted use case set includes: for any kind of use cases, dividing a preset value by the number of the use cases in the kind of use cases to obtain a score of each use case in the kind of use cases; and traversing all types of the use cases in the promotion use case set to obtain the score of each use case in the promotion use case set.
Optionally, the obtaining of the upgrade effect evaluation of the upgraded version according to the score, and the weight of each use case includes: for any use case, multiplying the score, the score and the weight of the use case to obtain an evaluation result of the use case; traversing all use cases in the promotion use case set to obtain an evaluation result of each use case in the promotion use case set; and adding the evaluation results of all the use cases in the promotion use case set to obtain the upgrade effect evaluation of the upgrade version.
Optionally, the vehicle upgrade evaluation method further includes: acquiring a basic case set corresponding to the upgraded version; before upgrading, evaluating the non-upgraded version by using the basic case set to obtain a first basic evaluation result; after upgrading, evaluating the upgraded version by using the basic case set to obtain a second basic evaluation result; and obtaining the basic effect evaluation of the upgrading version according to the first basic evaluation result and the second basic evaluation result.
According to a second aspect, an embodiment of the present invention further discloses a vehicle upgrade evaluation method and apparatus, including: the acquisition module is used for acquiring a lifting case set corresponding to the upgrading version; the preprocessing module is used for determining the weight of each use case according to the correlation degree of each use case in the promotion use case set and user experience; the evaluation module is used for evaluating the upgrade version by utilizing the promotion case set to obtain the score of each case in the promotion case set; and obtaining the upgrading effect evaluation of the upgrading version according to the score and the weight of each use case.
According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the vehicle upgrade evaluation method steps of the first aspect or any one of the alternative embodiments of the first aspect.
According to a fourth aspect, an embodiment of the present invention also discloses a vehicle, including: the electronic device of the third aspect.
According to a fifth aspect, an embodiment of the present invention further discloses a vehicle upgrade evaluation system, including: the vehicle of fourth aspect and high in the clouds, wherein the high in the clouds is connected with the electronic device in the vehicle in a communication mode.
The technical scheme of the invention has the following advantages:
according to the embodiment of the invention, the upgrading case set corresponding to the upgrading version is obtained, the weight of each case is determined according to the correlation degree between each case in the upgrading case set and user experience, the upgrading version is evaluated by the upgrading case set to obtain the score of each case in the upgrading case set, and finally the upgrading effect evaluation of the upgrading version is obtained according to the score and the weight of each case. That is to say, through utilizing the promotion case set corresponding to the upgrade version to assess the vehicle upgrade effect, make the improvement after the vehicle upgrade can more audio-visually show for the user more clear understanding vehicle performance's promotion.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic flow chart of a vehicle upgrade evaluation method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a vehicle upgrade evaluation method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a vehicle upgrade evaluation apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a vehicle upgrade evaluation system according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In describing the present invention, it is noted that the term "and/or" as used in this specification and the appended claims refers to and includes any and all combinations of one or more of the associated listed items.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
The embodiment 1 of the invention provides a vehicle upgrade evaluation method which is applied to a vehicle end. As shown in fig. 1, the method comprises the steps of:
step 101, obtaining a promotion case set corresponding to the upgrade version.
Specifically, a promotion case set corresponding to the upgrade version issued by the cloud can be obtained. For example, when a new version is issued in the cloud, the caseBox matched with the version is pushed to the vehicle end. And the CaseBox at least comprises a promotion case set, wherein the promotion case set is used for testing the characteristic of the OTA upgrade version.
And 102, determining the weight of each use case according to the correlation degree of each use case in the promotion use case set and user experience.
Specifically, because system optimization and bug repair brought by software upgrading can bring better quality experience to users, and the promotion of the experience can be mostly quantified by using data, the correlation degree of each type of use case and the user experience can be respectively determined, and then the weight of each use case is determined according to the correlation degree of each use case and the user experience, wherein the weight of each type of use case is in direct proportion to the correlation degree of the user experience.
For example, as an optional implementation manner of the present invention, the set of use cases may be divided into three levels according to the influence of characteristics on the user, and the characteristics of the improved and newly added functions that are strongly related to the preference of the user are listed as a first level, the other newly added functions are listed as a second level, and the rest of the problem repair functions are listed as a third level. For each level of promotion use cases, the weight of each type of use case is proportional to the correlation degree of the user preference, for example, the weight of the first level can be 0.5, the weight of the second level can be 0.4, and the weight of the third level can be 0.1.
And 103, evaluating the upgraded version by using the promotion case set to obtain the score of each case in the promotion case set.
Specifically, the upgrade version is evaluated by using a set of upgrade use cases, and for any use case, when the running result of the use case in the upgrade version is True, the score of the use case is 1; when the running result of the use case in the upgraded version is False, the score of the use case is 0; when the running result of the use case in the upgraded version is a numerical value, sending the numerical value to the cloud, and obtaining the score of the use case, which is obtained by the cloud through sequencing based on the numerical value; and traversing each use case in the promotion use case set to obtain the score of each use case in the promotion use case set.
When the upgrade version is evaluated by using the upgrade case set, and when the operation result of the case is in a boolean form, the operation result of the upgraded case can be compared with the operation result before upgrading, so that the operation result with the upgrade before the upgrade is True, and the operation result without the upgrade before the upgrade is False. When the operation result of this use case is the numerical value form, can send the operation result of this numerical value form to the high in the clouds, calculate at the operation result of all vehicles of high in the clouds storage by the high in the clouds based on this numerical value, obtain the rank of the operation result of this numerical value form in all vehicles, can express with preceding X%.
And 104, obtaining the upgrade effect evaluation of the upgrade version according to the score and the weight of each use case.
Specifically, the score of each use case is determined according to the number of the use cases belonging to the same type in the promotion use case set, and the upgrading effect evaluation of the upgrading version is obtained according to the score, the score and the weight of each use case.
For example, for any type of use case, the score of each use case in the type of use case is obtained by dividing a preset value by the number of use cases in the type of use case. And traversing all types of the use cases in the promotion use case set to obtain the score of each use case in the promotion use case set.
For example, the score of a use case may be calculated using the following equation:
Figure BDA0003619173530000061
where i represents the level of a use case and n i The number of use cases of the ith level is indicated.
More specifically, for any use case, multiplying the score, the score and the weight of the use case to obtain an evaluation result of the use case; traversing all use cases in the promotion use case set to obtain an evaluation result of each use case in the promotion use case set; and adding the evaluation results of all the cases in the promotion case set to obtain the upgrade effect evaluation of the upgrade version.
As a specific implementation mode, when the operation result of the use case is True, the upgrading effect of the upgraded version of the use case is evaluated as
Figure BDA0003619173530000062
Where i represents the level of a use case and n i Number of use cases, w, representing the ith level i A weight representing an ith level use case; 1 indicates that the score of this example is 1.
When the operation result of the use case is False, the evaluation result of the upgrading effect of the upgrading version of the use case is
Figure BDA0003619173530000063
Where i represents the level of a use case and n i Number of use cases, w, representing the ith level i A weight representing an ith level use case; 0 indicates that the score of this example is 1.
When the operation result of the use case is in a numerical form and the ranking of the operation result in the numerical form in all vehicles calculated by the cloud is X%, the upgrading effect evaluation result of the upgrading version of the use case is
Figure BDA0003619173530000071
Where i represents the level of a use case and n i Number of use cases, w, representing the ith level i Representing the weight of the ith level use case.
And then adding the evaluation results of all the cases in the promotion case set to obtain the upgrade effect evaluation of the upgrade version as follows:
Figure BDA0003619173530000072
where i represents the class of use cases (in the above formula, the set of use cases is promoted into n classes, which may be 3 classes as an example), j represents the number of use cases in each class, and w represents the number of use cases in each class i Weight, x, of use case representing ith level ij Representing the ranking of the operation results in the form of the numerical values of the use cases in all vehicles;
Figure BDA0003619173530000073
value of use case, n, representing each ith level i The number of use cases of the ith level is represented; x is the number of ij Representing the ranking of the value of the example operation in all vehicles, and if the example operation result is represented by True/False and the result is True, letting x ij When the result is false, let x be ij Is 1.
As another optional implementation manner of the present invention, before the vehicle is upgraded by using the upgrade package sent by the cloud, a basic case set corresponding to the upgraded version may be further obtained, and the basic case set is used to perform test evaluation on the current non-upgraded version of the vehicle, so as to obtain a first basic evaluation result, and upload the first basic evaluation result to the cloud, and when the cloud receives the first basic evaluation result, the cloud sends an upgrade command to the vehicle, and simultaneously sends the upgrade package related to the vehicle upgrade to the vehicle, where the upgrade package includes, but is not limited to, the content of the upgrade, an upgrade suggestion, and the like. And when the vehicle receives the upgrade package, upgrading according to the upgrade package, and testing and evaluating the upgraded vehicle by using the acquired basic force set to obtain a second basic evaluation result. And the vehicle is analyzed and evaluated according to the first basic evaluation result and the second basic evaluation result to obtain the basic effect evaluation of the vehicle upgrading version, wherein the basic effect evaluation is mainly used for evaluating whether the vehicle upgrading influences the original functions and performances and does not participate in the upgrading effect evaluation.
Furthermore, the vehicle uploads the second basic evaluation result and the basic effect evaluation of the vehicle upgrading version to the cloud, so that the cloud can accumulate more vehicle data, the cloud can build a more complete and accurate vehicle end typical test model conveniently, and the subsequent targeted vehicle OTA upgrading is facilitated.
When the performance of each module of the vehicle can be tested and evaluated by using a basic case set, the test is mainly divided into two types: static testing and dynamic testing. Wherein, the static test can be implemented when the vehicle is static, such as code test, interface test, document test, etc.; the dynamic test needs to obtain accurate data when the vehicle runs, for example, the accurate data can be obtained by a black box test, a gray box test, a white box test and the like, and the dynamic data can be obtained by running a typical test model of the vehicle and also by a simulation test.
The basic case set can be used for testing the existing characteristics of the old version, can also be operated in the updated new version, tests the existing characteristics of the updated old version, and further evaluates whether the current update affects the original functions and performances by comparing the characteristics of the old version and the existing characteristics of the updated version.
As an exemplary and optional implementation manner of the present invention, as shown in fig. 2, when there is a new version of the vehicle typical test model CaseBox at the cloud, the cloud issues a command to push the vehicle-end typical test model CaseBox with a matched version to the vehicle end. Wherein the vehicle-representative test model does not contain the upgrade content, the vehicle may identify whether test model data is contained by analyzing the composition of the software package. The test case in the vehicle typical test model is divided into two parts, including: a base case set and a promotion case set.
Specifically, the basic case set can be used for testing the existing characteristics of the old version, and the basic case set can also be operated in the updated new version to test the existing characteristics of the updated old version, so that whether the updating affects the original functions and performances or not is evaluated by comparing the characteristics of the old version and the updated existing characteristics; the promotion case set can be used for testing the characteristics of the vehicle end after the OTA upgrade version.
And after the vehicle end receives the vehicle end typical test model pushed by the cloud end, testing the performance of each module of the vehicle end by using the vehicle end typical test model. The tests are mainly divided into two categories: static testing and dynamic testing. Wherein, the static test can be implemented when the vehicle is static, such as code test, interface test, document test, etc.; the dynamic test needs to obtain accurate data when the vehicle runs, for example, the data can be a black box test, a gray box test, a white box test and the like, the test can be performed by running a vehicle typical test model, and the first basic evaluation result can also be obtained by a simulation test. And then, after testing the performance of each module of the vehicle end, the vehicle end uploads the first basic evaluation result to the cloud end.
And then, after the cloud end receives a first basic evaluation result uploaded by the vehicle end, the cloud end sends the upgrade package to the vehicle end, and simultaneously sends the content and the upgrade suggestion contained in the upgrade package of the book to the vehicle end. And after the vehicle end receives the upgrade package, starting upgrading.
After the vehicle end is upgraded, a lifting case set in the vehicle test model CaseBox is used for testing, specifically, the lifting case set runs on a new version after the vehicle end is upgraded to obtain a running result, and the running result can be used for evaluating the upgrading effect of the vehicle at this time. The promotion case set is divided into three levels according to the influence corresponding to the upgraded functional characteristics, wherein all the improved and newly added characteristics strongly related to the preference of the user are listed as a first level, other newly added functions are taken as a second level, and the rest problem repair and the like are listed as a third level. The use case weight of the first level can be set to 0.5, the use case weight of the second level can be set to 0.4, and the use case weight of the third level can be set to 0.1.
And then, quantifying the upgrading effect: for the use case with the running result of True, the evaluation result of the use case is the weight of the use case score; when the operation result is False, the evaluation result of the case is 0; when the operation result is in a numerical form, the ranking of the numerical value in all vehicles is calculated through the cloud end, wherein the ranking can be the top X%, and the evaluation result of the use case is the weight of the use case score (1-X%). The scores of the use cases of each level are the same, and the scores of the use cases can be calculated according to the following formula: 100/number of use cases in the promotion use case set at the level, and the result of the use case score keeps 1 bit after the decimal point.
And then, after the score of each case in the promotion case set is obtained through traversal, the evaluation results in the promotion case set are added to obtain the upgrade effect evaluation of the upgrade version as
Figure BDA0003619173530000091
For example, in the upgrade, the number of first-level use cases in the upgrade use case set is 10, the number of second-level use cases is 5, the number of third-level use cases is 5, the score of the first-level use case is 100/10 ═ 10, the score of the second-level use case is 100/5 ═ 20, and the score of the third-level use case is 100/5 ═ 20, at this time, the operation results of all use cases are in a numerical form, and the cloud calculates the ranking of the operation results in all vehicles to be 20%, and further can calculate the quantization result of the upgrade effect to be the same as that of the upgrade use case set
Figure BDA0003619173530000092
Furthermore, the quantification result is displayed to the user, the upgrading effect before and after the vehicle upgrading can be more visually displayed to the user, and the user experience is improved.
Meanwhile, the vehicle uploads the quantification result and the second basic evaluation result to the cloud, so that more vehicle data can be conveniently accumulated by the cloud, a more perfect and accurate model can be established, and the subsequent targeted OTA upgrading is facilitated.
As another alternative embodiment of the present invention, the vehicle upgrade effect can be more intuitively displayed by comparing the data before and after the vehicle upgrade and displaying to the user in the form of an icon such as a histogram, and the order of the current performance in all vehicles can be given by comparing the data of all networked vehicles.
As another optional implementation manner of the present invention, the performance index may also be calculated by using data reported by the vehicle-end program, so as to obtain performance comparison before and after vehicle upgrade, and further show the performance comparison before and after vehicle upgrade to the user, or show the performance comparison before and after vehicle upgrade to the user in a histogram form.
Therefore, in embodiment 1 of the present invention, a promotion case set corresponding to an upgraded version is obtained, a weight of each use case is determined according to a correlation degree between each use case in the promotion case set and user experience, a score of each use case in the promotion case set is obtained by evaluating the upgraded version using the promotion case set, and an upgrade effect evaluation of the upgraded version is obtained according to the score and the weight of each use case. That is to say, through utilizing the promotion case set corresponding to the upgrade version to assess the vehicle upgrade effect, make the improvement after the vehicle upgrade can more audio-visually show for the user more clear understanding vehicle performance's promotion.
Example 2
Embodiment 2 of the present invention further provides a vehicle upgrade evaluation device, as shown in fig. 3, the device includes an acquisition module 31, a preprocessing module 32, and an evaluation module 33.
An obtaining module 31, configured to obtain a promotion case set corresponding to the upgraded version, where the detailed content refers to step 101;
a preprocessing module 32, configured to determine a weight of each use case according to a degree of correlation between each use case in the promoted use case set and user experience, where details refer to step 102;
the evaluation module 33 is configured to evaluate the upgraded version by using the set of hoisting cases to obtain a score of each case in the set of hoisting cases; and obtaining the upgrade effect evaluation of the upgrade version according to the score and the weight of each use case, wherein the detailed contents refer to the step 103 and the step 104.
The details of the vehicle upgrade evaluation device can be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to fig. 2, and are not described herein again.
Example 3
Embodiment 3 of the present invention further provides an electronic device, as shown in fig. 4, the electronic device may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected through an internal bus of a chip or in another manner, and fig. 4 illustrates an example of connection through the internal bus of the chip.
Processor 401 may be a Central Processing Unit (CPU). The processor 401 may also be other general purpose processors, Digital signal processors (DAPs), Application specific Integrated circuits (AAICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or any combination thereof.
The memory 402, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the key shielding method of the vehicle upgrade evaluation method apparatus according to the embodiments of the present invention. The processor 401 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 402, that is, implements the vehicle upgrade evaluation method in the above method embodiment.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 401, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, which may be connected to processor 401 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 402 and, when executed by the processor 401, perform a vehicle upgrade evaluation method as in the embodiment of fig. 1-2.
The details of the electronic device may be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to fig. 2, and are not described herein again.
Example 4
Embodiment 4 of the present invention also provides a vehicle that may include the electronic device of embodiment 4.
Example 5
Embodiment 5 of the present invention further provides a vehicle upgrade evaluation system, as shown in fig. 5, the vehicle upgrade evaluation system may include a cloud 51 and a vehicle 52, where the cloud 51 is in communication connection with an electronic device in the vehicle 52.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Wherein, the storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a flash Memory (FlaAhMemory), a Hard disk (Hard DiAk Drive, abbreviated as HDD), or a solid state Drive (AAD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (10)

1. A vehicle upgrade evaluation method, comprising:
acquiring a promotion case set corresponding to the upgrade version;
determining the weight of each use case according to the correlation degree of each use case in the promotion use case set and user experience;
evaluating the upgraded version by using the promotion case set to obtain the score of each case in the promotion case set;
and obtaining the upgrade effect evaluation of the upgrade version according to the score and the weight of each use case.
2. The method according to claim 1, wherein the obtaining of the upgrade effect evaluation of the upgraded version according to the score and the weight of each use case comprises:
determining the score of each use case according to the number of the use cases belonging to the same type in the promotion use case set;
and obtaining the upgrade effect evaluation of the upgrade version according to the score, the score and the weight of each use case.
3. The method of claim 1, wherein the evaluating the upgraded version using the set of elevated use cases to obtain a score for each use case comprises:
for any use case, when the running result of the use case in the upgraded version is True, the score of the use case is 1; when the operation result of the use case in the upgraded version is False, the score of the use case is 0; when the running result of the use case in the upgraded version is a numerical value, sending the numerical value to a cloud end, and obtaining the score of the use case, which is obtained by sequencing the use case based on the numerical value by the cloud end;
and traversing each use case in the promotion use case set to obtain the score of each use case in the promotion use case set.
4. The method according to claim 2, wherein the determining a score for each use case according to the number of use cases belonging to the same type in the set of elevated use cases comprises:
for any kind of use cases, dividing a preset value by the number of the use cases in the kind of use cases to obtain a score of each use case in the kind of use cases; and traversing all types of the use cases in the promotion use case set to obtain the score of each use case in the promotion use case set.
5. The method according to claim 2, wherein the obtaining of the upgrade effect evaluation of the upgraded version according to the score, score and weight of each use case comprises:
for any use case, multiplying the score, the score and the weight of the use case to obtain an evaluation result of the use case; traversing all use cases in the promotion use case set to obtain an evaluation result of each use case in the promotion use case set;
and adding the evaluation results of all the use cases in the promotion use case set to obtain the upgrade effect evaluation of the upgrade version.
6. The method of claim 1, further comprising:
acquiring a basic case set corresponding to the upgraded version;
before upgrading, evaluating the non-upgraded version by using the basic case set to obtain a first basic evaluation result;
after upgrading, evaluating the upgraded version by using the basic case set to obtain a second basic evaluation result;
and obtaining the basic effect evaluation of the upgrading version according to the first basic evaluation result and the second basic evaluation result.
7. A vehicle upgrade evaluation device, characterized by comprising:
the acquisition module is used for acquiring a lifting case set corresponding to the upgrading version;
the preprocessing module is used for determining the weight of each use case according to the correlation degree of each use case in the promotion use case set and user experience;
the evaluation module is used for evaluating the upgrade version by utilizing the promotion case set to obtain the score of each case in the promotion case set; and obtaining the upgrading effect evaluation of the upgrading version according to the score and the weight of each use case.
8. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the vehicle upgrade evaluation method of any one of claims 1-6.
9. A vehicle characterized by comprising the electronic device of claim 8.
10. A vehicle upgrade evaluation system comprising a cloud and the vehicle of claim 9, wherein the cloud is communicatively coupled to an electronic device in the vehicle.
CN202210457096.9A 2022-04-27 2022-04-27 Electronic equipment, vehicle, and vehicle upgrade evaluation method, device and system Pending CN114860281A (en)

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