Acceleration Characteristic Analysis Method, Device, Equipment and Storage Medium

Abstract

The present invention belongs to the technical field of automobiles, and discloses an acceleration characteristic analysis method, device, equipment and storage medium. The method includes: obtaining test task information; parsing the test task information to determine test steps; testing a target vehicle according to the test steps, and collecting vehicle speed data of the target vehicle changing with time; analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment; and analyzing the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment. By the above method, the vehicle speed data is analyzed to measure the acceleration, and the fixed-throttle acceleration characteristic analysis of the vehicle is carried out without damaging the vehicle, which provides an important basis and guidance for the vehicle development work, does not require additional equipment, improves the efficiency of vehicle characteristic analysis, and saves the analysis cost.

Description

Technical Field

[0001] The present invention relates to the technical field of automobiles, and particularly to an acceleration characteristic analysis method, device, equipment and storage medium. Background Art

[0002] At present, when automobile enterprises develop new vehicles, they will conduct competitive product benchmarking analysis on competitive product models. The competitive product benchmarking analysis is divided into various types: vehicle full disassembly competitive product analysis, gap surface difference competitive product analysis, driving performance and power performance competitive product analysis, etc. Among them, the acceleration characteristic analysis at a fixed throttle belongs to a very important content in the competitive product benchmarking analysis, which is used to guide the power selection in the early stage of development, and provides an important reference basis for the analysis and setting of driving styles and the setting of throttle pedal torque in driving performance calibration.

[0003] Currently, the acceleration characteristic analysis is generally carried out by installing test equipment (including CAN network acquisition equipment, acceleration sensors, torque sensors and other equipment), but the installation and debugging of these equipment are relatively complex and time-consuming, and are suitable for large-scale benchmarking analysis of vehicles. If the tested vehicle does not allow damage or installation of large-scale equipment, this method is not applicable.

[0004] The above content is only used to assist in understanding the technical solution of the present invention, and does not represent an admission that the above content is the prior art. Summary of the Invention

[0005] The main purpose of the present invention is to provide an acceleration characteristic analysis method, device, equipment and storage medium, aiming to solve the technical problem of how to perform acceleration characteristic analysis when the tested vehicle does not allow damage or installation of large-scale equipment.

[0006] To achieve the above purpose, the present invention provides an acceleration characteristic analysis method, and the method includes the following steps:

[0007] Obtain test task information;

[0008] Parse the test task information to determine the test steps;

[0009] Test the target vehicle according to the test steps, and collect the vehicle speed data of the target vehicle changing with time;

[0010] Analyze the vehicle speed data to determine the instantaneous acceleration corresponding to each moment;

[0011] Analyze the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment.

[0012] Optionally, the analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment includes:

[0013] Obtain the message period corresponding to the vehicle speed data;

[0014] Determine the number of windows according to the message period;

[0015] Obtain the current vehicle speed and multiple reference vehicle speeds corresponding to each moment from the vehicle speed data, wherein the number of the reference vehicle speeds corresponds to the number of the windows;

[0016] Determine the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the multiple reference vehicle speeds.

[0017] Optionally, the determining the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the multiple reference vehicle speeds includes:

[0018] Determine the reference acceleration according to the current vehicle speed, each reference vehicle speed and the corresponding period interval;

[0019] Determine the instantaneous acceleration corresponding to each moment according to the multiple reference accelerations.

[0020] Optionally, the determining the instantaneous acceleration corresponding to each moment according to the multiple reference accelerations includes:

[0021] Obtain the weight values corresponding to each period interval;

[0022] Perform weighted summation on each reference acceleration based on the weight values to obtain the instantaneous acceleration corresponding to each moment.

[0023] Optionally, before obtaining the weight values corresponding to each period interval, the method further includes:

[0024] Collect the vehicle speed messages and acceleration information of the test vehicle during the test;

[0025] Determine the actual acceleration corresponding to the test moment according to the acceleration information;

[0026] Determine the estimated acceleration corresponding to each period interval of the test moment according to the vehicle speed message;

[0027] Determine the weight values corresponding to each period interval based on the estimated acceleration and the actual acceleration.

[0028] Optionally, the determining the weight values corresponding to each period interval based on the estimated acceleration and the actual acceleration includes:

[0029] Use the estimated acceleration as the model input and the actual acceleration as the model output to train the preset weight model;

[0030] When the training is completed, obtain the weight values corresponding to each period interval.

[0031] Optionally, after analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment, the method further includes:

[0032] Obtaining the inclination data of the vehicle speed sensor relative to the road horizontal plane;

[0033] Based on the inclination data, correcting the instantaneous acceleration to obtain a target acceleration;

[0034] Analyzing the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed corresponding to each moment and the target acceleration.

[0035] In addition, to achieve the above object, the present invention also provides an acceleration characteristic analysis device, which includes:

[0036] An acquisition module, configured to acquire test task information;

[0037] An analysis module, configured to analyze the test task information to determine test steps;

[0038] A test module, configured to test the target vehicle according to the test steps and collect the vehicle speed data of the target vehicle changing with time;

[0039] A data analysis module, configured to analyze the vehicle speed data to determine the instantaneous acceleration corresponding to each moment;

[0040] An acceleration characteristic analysis module, configured to analyze the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed corresponding to each moment and the instantaneous acceleration.

[0041] In addition, to achieve the above object, the present invention also provides an acceleration characteristic analysis device, which includes: a memory, a processor, and an acceleration characteristic analysis program stored on the memory and executable on the processor, and the acceleration characteristic analysis program is configured to implement the acceleration characteristic analysis method as described above.

[0042] In addition, to achieve the above object, the present invention also provides a storage medium, on which an acceleration characteristic analysis program is stored, and when the acceleration characteristic analysis program is executed by a processor, it implements the acceleration characteristic analysis method as described above.

[0043] The present invention obtains test task information; analyzes the test task information to determine test steps; tests a target vehicle according to the test steps, and collects vehicle speed data of the target vehicle changing over time; analyzes the vehicle speed data to determine the instantaneous acceleration corresponding to each moment; and analyzes the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment. By the above method, the vehicle speed data is analyzed to measure the acceleration, and the constant throttle acceleration characteristic analysis of the vehicle is carried out without damaging the vehicle, providing an important basis and guidance for vehicle development work, without the need to additionally increase equipment, improving the efficiency of vehicle characteristic analysis and saving the analysis cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 FIG. is a schematic structural diagram of an acceleration characteristic analysis device for a hardware operating environment related to the embodiment solution of the present invention;

[0045] Figure 2 FIG. is a schematic flowchart of the first embodiment of the acceleration characteristic analysis method of the present invention;

[0046] Figure 3 FIG. is a schematic flowchart of the second embodiment of the acceleration characteristic analysis method of the present invention;

[0047] Figure 4 FIG. is a structural block diagram of the first embodiment of the acceleration characteristic analysis device of the present invention.

[0048] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] Refer to Figure 1 , Figure 1 FIG. is a schematic structural diagram of an acceleration characteristic analysis device for a hardware operating environment related to the embodiment solution of the present invention.

[0051] Such as Figure 1As shown in the figure, the acceleration characteristic analysis device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed Random Access Memory (RAM) or a stable Non-Volatile Memory (NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art can understand that Figure 1 the structure shown in the figure does not constitute a limitation on the acceleration characteristic analysis device, and it may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0053] As Figure 1 shown, the memory 1005, as a storage medium, may include an operating system, a network communication module, a user interface module, and an acceleration characteristic analysis program.

[0054] In Figure 1 the acceleration characteristic analysis device shown in the figure, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the acceleration characteristic analysis device of the present invention may be arranged in the acceleration characteristic analysis device. The acceleration characteristic analysis device calls the acceleration characteristic analysis program stored in the memory 1005 through the processor 1001 and executes the acceleration characteristic analysis method provided by the embodiments of the present invention.

[0055] The embodiments of the present invention provide an acceleration characteristic analysis method. Referring to Figure 2 , Figure 2 it is a schematic flowchart of the first embodiment of the acceleration characteristic analysis method of the present invention.

[0056] In this embodiment, the acceleration characteristic analysis method includes the following steps:

[0057] Step S10: Obtain test task information.

[0058] It is understandable that the execution entity of this embodiment is an acceleration characteristic analysis device, which can be a device such as a computer or a server, or other devices with data analysis capabilities. This embodiment does not limit this.

[0059] It should be noted that the test task information is task information constructed in advance by the user based on the content to be tested for acceleration characteristics. In a specific implementation, a task management module is set up to manage different task items. The user can select the task items to be tested through the program page corresponding to the task management module. The computer determines one or more corresponding task items based on the selection information input by the user, and generates corresponding test task information according to the one or more task items.

[0060] Step S20: Analyze the test task information to determine the test steps.

[0061] It should be understood that, according to the task item list corresponding to the test task information, the default data corresponding to each task item is found, and the test steps corresponding to each task item are determined according to the default data corresponding to each task item. For example, the preset starting test item includes starting the vehicle, accelerating to a speed of 30 km / h at a preset throttle opening, and then driving at a constant speed of 30 km / h for 10 minutes.

[0062] Step S30: Test the target vehicle according to the test steps, and collect the vehicle speed data of the target vehicle changing with time.

[0063] It should be noted that a control instruction is output to the vehicle test control device according to the parsed test steps, so that the vehicle test control device controls the target vehicle to complete the test task. By using a CAN network acquisition device, access the vehicle CAN network, obtain the vehicle speed signal collected by the vehicle speed sensor installed on the target vehicle during the test, analyze the vehicle speed signal and generate a corresponding DBC file to obtain the vehicle speed data changing with time, that is, the time-vehicle speed message.

[0064] Step S40: Analyze the vehicle speed data to determine the instantaneous acceleration corresponding to each moment;

[0065] It should be understood that, optionally, the vehicle speed at each moment is differentiated with respect to time to determine the instantaneous acceleration at each moment, that is, the vehicle speed difference is determined according to the vehicle speed at the current moment and the vehicle speed at the previous moment, and the instantaneous acceleration is obtained by dividing the vehicle speed difference by the time difference.

[0066] Preferably, centered on the current moment, vehicle speeds at multiple moments are selected forward and vehicle speeds at multiple moments are selected backward. Multiple vehicle speed differences are calculated based on the vehicle speeds at multiple moments and the vehicle speed at the current moment. The reference acceleration is obtained by dividing the vehicle speed difference by the corresponding time difference. The weighted sum of multiple reference accelerations is calculated to obtain the instantaneous acceleration corresponding to the current moment.

[0067] Step S50: Analyze the acceleration characteristic value corresponding to the target vehicle based on the vehicle speed and the instantaneous acceleration corresponding to each moment.

[0068] It should be noted that a two-dimensional graph is generated based on the vehicle speeds and instantaneous accelerations at each moment, and is marked according to the throttle opening corresponding to each test step to obtain the acceleration characteristic value corresponding to the target vehicle. In a specific implementation, multiple competing vehicles are tested according to the same test steps, and vehicle speed data is collected to determine the acceleration characteristic values of each competing vehicle, providing data support for vehicle development work. In a specific implementation, a data export function is provided: according to actual usage requirements, CAN message data or Excel format data can be exported to facilitate the use of other systems.

[0069] Further, after the step S40, the method further includes: obtaining the inclination data of the vehicle speed sensor relative to the horizontal plane; correcting the instantaneous acceleration based on the inclination data to obtain the target acceleration; analyzing the acceleration characteristic value corresponding to the target vehicle based on the vehicle speed and the target acceleration corresponding to each moment.

[0070] It can be understood that the plane where the four-wheel bearings of the vehicle are located is used as the vehicle plane, and the orientation direction of the vehicle speed sensor is parallel to the vehicle plane. In a specific implementation, the inclination data of the vehicle is measured by a slope sensor installed on the vehicle as the inclination data of the vehicle speed sensor relative to the horizontal plane. The angle between the vehicle forward direction and the horizontal plane is determined based on the inclination data, and the acceleration and vehicle speed of the instantaneous acceleration on the horizontal plane are determined based on this angle. A two-dimensional graph is generated based on the corrected vehicle speeds and target accelerations corresponding to each moment to obtain the acceleration characteristic value corresponding to the target vehicle, eliminating the influence of road inclination on the acceleration characteristic analysis.

[0071] In this embodiment, by obtaining the test task information; parsing the test task information to determine the test steps; testing the target vehicle according to the test steps and collecting the vehicle speed data of the target vehicle changing with time; analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment; analyzing the acceleration characteristic value corresponding to the target vehicle based on the vehicle speed and the instantaneous acceleration corresponding to each moment. In the above manner, the vehicle speed data is analyzed to measure the acceleration, and the fixed-throttle acceleration characteristic analysis of the vehicle is carried out without damaging the vehicle, providing an important basis and guidance for vehicle development work, without additional equipment, improving the efficiency of vehicle characteristic analysis, and saving the analysis cost.

[0072] Reference Figure 3 , Figure 3 is a schematic flowchart of the second embodiment of the acceleration characteristic analysis method of the present invention.

[0073] Based on the above first embodiment, step S40 of the acceleration characteristic analysis method in this embodiment includes:

[0074] Step S401: Obtain the message period corresponding to the vehicle speed data.

[0075] It should be understood that the vehicle speed sensor collects the vehicle speed signal once every message period to generate a vehicle speed message. Generally, the vehicle speed message period ≤ 20 ms.

[0076] Step S402: Determine the number of windows according to the message period.

[0077] It should be noted that in specific implementation, if the vehicle speed message period ≤ 20 ms, the number of windows is determined to be 10; if the vehicle speed signal period > 20 ms, the number of windows is determined to be 5.

[0078] Step S403: Obtain the current vehicle speed and multiple reference vehicle speeds corresponding to each moment from the vehicle speed data, where the number of the reference vehicle speeds corresponds to the number of windows.

[0079] It can be understood that taking the number of windows as 10 as an example for illustration, the current vehicle speed at the current moment, the reference vehicle speeds at the previous one to five moments, and the reference vehicle speeds at the next one to five moments are selected. That is to say, the determined number of windows corresponds to the number of obtained reference vehicle speeds.

[0080] Step S404: Determine the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the multiple reference vehicle speeds.

[0081] Further, step S404 includes: determining the reference acceleration according to the current vehicle speed, each reference vehicle speed, and the corresponding period interval; determining the instantaneous acceleration corresponding to each moment according to the multiple reference accelerations.

[0082] It should be noted that optionally, the vehicle speed difference is determined according to the current vehicle speed and the reference vehicle speed, the reference acceleration is determined according to the vehicle speed difference and the corresponding period interval, and the average value of the multiple reference accelerations calculated based on the multiple reference vehicle speeds is taken to obtain the instantaneous acceleration corresponding to each moment. The period interval refers to the message period interval between the current moment corresponding to the current vehicle speed and the moment corresponding to the reference vehicle speed.

[0083] Further, determining the instantaneous acceleration corresponding to each moment according to the multiple reference accelerations includes: obtaining the weight values corresponding to each period interval; performing weighted summation on each of the reference accelerations based on the weight values to obtain the instantaneous acceleration corresponding to each moment.

[0084] It should be understood that the weight values corresponding to each period interval are set in advance based on experience. Taking the number of windows being 10 as an example for illustration, the reference vehicle speed corresponding to the moment before the current moment is denoted as 1, the reference vehicle speed corresponding to the moment after the current moment is denoted as 2, the reference vehicle speed corresponding to the moment two moments before the current moment is denoted as 3, and so on, to obtain the reference vehicle speeds from 1 to 10. Calculate the reference accelerations based on the current vehicle speed and the reference vehicle speeds from 1 to 10 respectively to obtain the reference accelerations from 1 to 10. The f 1 ~f 10 are 0.3, 0.2, 0.1, 0.1, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05 respectively. According to f 1 ~f 10 perform weighted summation on the reference accelerations from 1 to 10 to obtain the instantaneous acceleration corresponding to the current moment.

[0085] It should be noted that the instantaneous acceleration corresponding to each moment is calculated through the following formula:

[0086]

[0087] where a smooth is the instantaneous acceleration; f i is the weight value; a i is the reference acceleration; v m is the current vehicle speed corresponding to the current moment; v i is the reference vehicle speed; t m is the message period corresponding to the current moment; t i is the message period corresponding to the reference vehicle speed.

[0088] Further, before obtaining the weight values corresponding to each period interval, the method further includes: collecting the vehicle speed messages and acceleration information of the test vehicle during the test process; determining the actual acceleration corresponding to the test moment according to the acceleration information; determining the estimated acceleration corresponding to each period interval of the test moment according to the vehicle speed messages; determining the weight values corresponding to each period interval based on the estimated acceleration and the actual acceleration.

[0089] In a specific implementation, the weight values of each period interval are determined through experiments: vehicle speed messages during different test processes of a test vehicle are collected, and acceleration information varying with time is collected through an acceleration sensor installed on the test vehicle. A moment is randomly selected from the vehicle speed messages as the test moment, and the actual acceleration corresponding to this moment is determined according to the acceleration information. The vehicle speed messages are analyzed in the foregoing manner, the current vehicle speed at the test moment, the reference vehicle speeds at the previous one to five moments, and the reference vehicle speeds at the next one to five moments are selected, and the estimated acceleration is calculated according to the current vehicle speed, multiple reference vehicle speeds, and the period intervals corresponding to the respective reference vehicle speeds. Optionally, the ratio between the estimated acceleration and the actual acceleration of each period interval is determined. If multiple groups of estimated accelerations are determined through multiple tests, the average value of multiple ratios for the same period interval is taken to obtain the average ratio corresponding to this period interval, and the average ratios corresponding to each period interval are normalized to obtain the weight values corresponding to each period interval.

[0090] Further, determining the weight values corresponding to each period interval based on the estimated acceleration and the actual acceleration includes: using the estimated acceleration as the model input and the actual acceleration as the model output to train a preset weight model; when the training is completed, the weight values corresponding to each period interval are obtained.

[0091] It should be noted that in this embodiment, a preset weight model is set to learn the estimated acceleration and the actual acceleration determined through experiments. In this embodiment, a large number of experiments are used to collect the estimated acceleration and the actual acceleration to form a training set, and the preset weight model is trained based on the training set. When the loss value of the preset weight model reaches the minimum or the current iteration number reaches the maximum iteration number, the trained preset weight model is obtained, and the model parameters of the preset weight model are extracted to obtain the weight values corresponding to each period interval.

[0092] In this embodiment, the vehicle acceleration meeting the requirements of power performance analysis can be calculated based on a conventional competing product analysis device, reducing the cost and time of competing product analysis. There is no need to specially externally connect a device to test the acceleration, nor to analyze the acceleration signal of the original vehicle, reducing the dependence on the device. The acceleration characteristic analysis method proposed in this embodiment can be applied to most passenger vehicles such as sedans, SUVs, and MPVs, and the program is simple and easy to implement. Through parameter adjustment in multiple tests, effective filtering can be performed on the conventional road surface and tire noise, and at the same time, over-filtering will not cause the vehicle acceleration to be distorted, and the current vehicle acceleration can be truly reflected, which is very suitable for the acceleration calculation of the fixed-throttle acceleration characteristic comparison analysis. The test results are compared with a professional acceleration measuring instrument, and the error range meets the requirements of competing product analysis.

[0093] In this embodiment, test task information is obtained; the test task information is parsed to determine test steps; the target vehicle is tested according to the test steps, and vehicle speed data varying with time of the target vehicle is collected; the message period corresponding to the vehicle speed data is obtained; the number of windows is determined according to the message period; the current vehicle speed and multiple reference vehicle speeds corresponding to each moment are obtained from the vehicle speed data, where the number of reference vehicle speeds corresponds to the number of windows; the instantaneous acceleration corresponding to each moment is determined according to the current vehicle speed and the multiple reference vehicle speeds; and the acceleration characteristic value corresponding to the target vehicle is analyzed according to the vehicle speed and the instantaneous acceleration corresponding to each moment. In the above manner, the instantaneous acceleration is determined by the current vehicle speed and the multiple reference vehicle speeds, the influence of road noise and tire noise on the acceleration measurement is filtered out, the acceleration characteristics of the vehicle are more accurately reflected, the constant throttle acceleration characteristics of the vehicle are analyzed without damaging the vehicle, important basis and guidance are provided for the vehicle development work, no additional equipment is required, the efficiency of vehicle characteristic analysis is improved, and the analysis cost is saved.

[0094] In addition, an embodiment of the present invention further provides a storage medium, on which an acceleration characteristic analysis program is stored. When the acceleration characteristic analysis program is executed by a processor, the acceleration characteristic analysis method as described above is implemented.

[0095] Since this storage medium adopts all the technical solutions of all the above embodiments, it at least has all the beneficial effects brought by the technical solutions of the above embodiments, which will not be elaborated herein one by one.

[0096] Refer to Figure 4 , Figure 4 which is a structural block diagram of the first embodiment of the acceleration characteristic analysis device of the present invention.

[0097] As Figure 4 shown, the acceleration characteristic analysis device proposed by the embodiment of the present invention includes:

[0098] An acquisition module 10, configured to acquire test task information.

[0099] An analysis module 20, configured to parse the test task information to determine test steps.

[0100] A test module 30, configured to test the target vehicle according to the test steps and collect vehicle speed data of the target vehicle varying with time.

[0101] A data analysis module 40, configured to analyze the vehicle speed data to determine the instantaneous acceleration corresponding to each moment.

[0102] An acceleration characteristic analysis module 50, configured to analyze the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment.

[0103] It should be understood that the above is only an example and does not constitute any limitation to the technical solution of the present invention. In specific applications, those skilled in the art can set according to needs, and the present invention does not make any restrictions in this regard.

[0104] In this embodiment, by obtaining test task information; parsing the test task information to determine test steps; testing the target vehicle according to the test steps, collecting vehicle speed data of the target vehicle changing with time; analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment; analyzing the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment. In the above manner, by analyzing the vehicle speed data to measure the acceleration, the constant throttle acceleration characteristic analysis of the vehicle is carried out without damaging the vehicle, which provides an important basis and guidance for the vehicle development work, does not require additional equipment, improves the efficiency of vehicle characteristic analysis, and saves the analysis cost.

[0105] It should be noted that the above-described work flow is only illustrative and does not constitute a limitation to the protection scope of the present invention. In actual applications, those skilled in the art can select some or all of them according to actual needs to achieve the purpose of the solution of this embodiment, and no restrictions are made here.

[0106] In addition, for the technical details not described in detail in this embodiment, reference can be made to the acceleration characteristic analysis method provided in any embodiment of the present invention, and details will not be described here again.

[0107] In one embodiment, the data analysis module 40 is further configured to obtain the message period corresponding to the vehicle speed data; determine the number of windows according to the message period; obtain the current vehicle speed and a plurality of reference vehicle speeds corresponding to each moment from the vehicle speed data, wherein the number of the reference vehicle speeds corresponds to the number of the windows; and determine the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the plurality of reference vehicle speeds.

[0108] In one embodiment, the data analysis module 40 is further configured to determine the reference acceleration according to the current vehicle speed, each of the reference vehicle speeds, and the corresponding period interval; and determine the instantaneous acceleration corresponding to each moment according to the plurality of reference accelerations.

[0109] In one embodiment, the data analysis module 40 is further configured to obtain the weight value corresponding to each period interval; and perform weighted summation on each of the reference accelerations based on the weight value to obtain the instantaneous acceleration corresponding to each moment.

[0110] In one embodiment, the acceleration characteristic analysis device further includes a determination module;

[0111] The determining module is configured to collect a vehicle speed message and acceleration information of a test vehicle during a test process; determine an actual acceleration corresponding to a test moment according to the acceleration information; determine an estimated acceleration corresponding to each period interval at the test moment according to the vehicle speed message; and determine a weight value corresponding to each period interval based on the estimated acceleration and the actual acceleration.

[0112] In an embodiment, the determining module is further configured to use the estimated acceleration as a model input and the actual acceleration as a model output to train a preset weight model; and obtain a weight value corresponding to each period interval when the training is completed.

[0113] In an embodiment, the acceleration characteristic analysis module 50 is further configured to obtain inclination data of a vehicle speed sensor relative to a horizontal plane; correct the instantaneous acceleration based on the inclination data to obtain a target acceleration; and analyze an acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the target acceleration corresponding to each moment.

[0114] In addition, it should be noted that in this article, the terms "including", "comprising" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the phrase "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including the element.

[0115] The serial numbers of the embodiments of the present invention described above are only for description and do not represent the advantages and disadvantages of the embodiments.

[0116] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory (ROM) / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0117] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be similarly included in the patent protection scope of the present invention.

Claims

1. An acceleration characteristic analysis method, characterized in that, the acceleration characteristic analysis method includes: Obtaining test task information; Parsing the test task information to determine test steps; Testing the target vehicle according to the test steps, and collecting vehicle speed data of the target vehicle changing with time; Analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment; Analyzing the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment; Wherein, the analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment includes: Obtaining the message period corresponding to the vehicle speed data; Determining the number of windows according to the message period; Obtaining the current vehicle speed and multiple reference vehicle speeds corresponding to each moment from the vehicle speed data, wherein the number of the reference vehicle speeds corresponds to the number of windows; Determining the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the multiple reference vehicle speeds; Wherein, the determining the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the multiple reference vehicle speeds includes: Determining the reference acceleration according to the current vehicle speed, each of the reference vehicle speeds and the corresponding period interval; Determining the instantaneous acceleration corresponding to each moment according to multiple reference accelerations; Wherein, the determining the instantaneous acceleration corresponding to each moment according to multiple reference accelerations includes: Obtaining the weight value corresponding to each period interval, where the period interval refers to the message period interval between the current moment corresponding to the current vehicle speed and the moment corresponding to the reference vehicle speed; Performing weighted summation on each of the reference accelerations based on the weight value to obtain the instantaneous acceleration corresponding to each moment.

2. The acceleration characteristic analysis method according to claim 1, characterized in that, before obtaining the weight value corresponding to each period interval, the method further includes: Collecting vehicle speed messages and acceleration information of the test vehicle during the test process; Determining the actual acceleration corresponding to the test moment according to the acceleration information; Determining the estimated acceleration corresponding to each period interval of the test moment according to the vehicle speed message; Determining the weight value corresponding to each period interval based on the estimated acceleration and the actual acceleration.

3. The acceleration characteristic analysis method according to claim 2, characterized in that, the determining the weight value corresponding to each period interval based on the estimated acceleration and the actual acceleration includes: Taking the estimated acceleration as the model input and the actual acceleration as the model output, and training a preset weight model; When the training is completed, obtaining the weight value corresponding to each period interval.

4. The acceleration characteristic analysis method according to any one of claims 1-3, characterized in that, after analyzing the vehicle speed data to determine the instantaneous acceleration corresponding to each moment, the method further includes: Obtaining the tilt data of the vehicle speed sensor relative to the horizontal plane; Correcting the instantaneous acceleration based on the tilt data to obtain the target acceleration; Analyzing the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the target acceleration corresponding to each moment.

5. An acceleration characteristic analysis device, It is characterized in that the acceleration characteristic analysis device includes: an acquisition module, configured to acquire test task information; a parsing module, configured to parse the test task information to determine test steps; a test module, configured to test a target vehicle according to the test steps and collect vehicle speed data of the target vehicle changing with time; a data analysis module, configured to analyze the vehicle speed data to determine the instantaneous acceleration corresponding to each moment; an acceleration characteristic analysis module, configured to analyze the acceleration characteristic value corresponding to the target vehicle according to the vehicle speed and the instantaneous acceleration corresponding to each moment; wherein, the analysis of the vehicle speed data to determine the instantaneous acceleration corresponding to each moment includes: acquiring the message period corresponding to the vehicle speed data; determining the number of windows according to the message period; acquiring the current vehicle speed and a plurality of reference vehicle speeds corresponding to each moment from the vehicle speed data, wherein the number of the reference vehicle speeds corresponds to the number of the windows; determining the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the plurality of reference vehicle speeds; wherein, the determination of the instantaneous acceleration corresponding to each moment according to the current vehicle speed and the plurality of reference vehicle speeds includes: determining a reference acceleration according to the current vehicle speed, each of the reference vehicle speeds, and the corresponding period interval; determining the instantaneous acceleration corresponding to each moment according to a plurality of the reference accelerations; wherein, the determination of the instantaneous acceleration corresponding to each moment according to a plurality of the reference accelerations includes: acquiring a weight value corresponding to each period interval, where the period interval refers to the message period interval between the current moment corresponding to the current vehicle speed and the moment corresponding to the reference vehicle speed; performing weighted summation on each of the reference accelerations based on the weight value to obtain the instantaneous acceleration corresponding to each moment.

6. An acceleration characteristic analysis device, It is characterized in that the device includes: a memory, a processor, and an acceleration characteristic analysis program stored on the memory and capable of running on the processor, and the acceleration characteristic analysis program is configured to implement the acceleration characteristic analysis method according to any one of claims 1 to 4.

7. A storage medium, It is characterized in that an acceleration characteristic analysis program is stored on the storage medium, and when the acceleration characteristic analysis program is executed by a processor, it implements the acceleration characteristic analysis method according to any one of claims 1 to 4.

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