Method, device and equipment for detecting engine intervention feeling of hybrid vehicle during driving

Abstract

The application provides a detection method, device and equipment for engine intervention feeling of a hybrid vehicle during driving. The throttle opening degree of a vehicle to be detected is controlled, a plurality of sets of detection data of vehicle vibration under different throttle opening degrees are obtained, and a first throttle opening degree with engine intervention feeling is determined according to vehicle time domain data in the plurality of sets of detection data corresponding to each throttle opening degree. For the first throttle opening degree with intervention feeling, the cause of engine intervention feeling and processing suggestions are determined according to the plurality of sets of detection data corresponding to the first throttle opening degree, and a detection result is output. The above method realizes accurate detection of the specific cause of vehicle shaking caused by engine intervention of a hybrid vehicle during driving, and makes up for the deficiency of the prior art in detecting engine intervention feeling of a hybrid vehicle.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile testing, in particular to a detection method, device and equipment for engine intervention feeling of a hybrid vehicle during driving. BACKGROUND

[0002] With the progress of science and technology, the automobile industry has developed rapidly. In today's social form, people advocate environmental protection, and hybrid vehicles are gradually favored by people. Since the engine control strategy of a hybrid vehicle is different from that of a traditional fuel vehicle, whether the engine starts to work is related to the current battery power and throttle opening, especially when the motor drives at low speed in hybrid mode, the engine will only intervene when the vehicle speed reaches a certain speed. However, the engine start is not conducive to the comfort of passengers in the vehicle, especially the problem of vehicle shaking caused by engine start needs to be targeted and optimized in the early stage of research and development.

[0003] In the prior art, there is no special test specification and data analysis method for the whole vehicle shaking problem caused by the hybrid special engine during driving. People usually still use the traditional engine start shaking analysis. The vibration Overall Level is used to analyze and describe the vibration response of the vehicle, so as to realize the judgment of the intervention feeling of the hybrid special engine.

[0004] However, the above scheme is only applicable to the traditional vehicle engine start and stop condition, and is not applicable to the judgment of the intervention feeling of the hybrid special engine during the driving process of the hybrid vehicle. It cannot accurately detect the whole vehicle shaking problem caused by the hybrid special engine. SUMMARY

[0005] The present application provides a detection method, device and equipment for engine intervention feeling of a hybrid vehicle during driving, to solve the problem that the intervention feeling of the hybrid special engine during the driving process of the hybrid vehicle cannot be judged in the prior art, so as to accurately detect the whole vehicle shaking problem caused by the hybrid special engine.

[0006] In a first aspect, the present application provides a detection method for engine intervention feeling of a hybrid vehicle during driving, comprising:

[0007] controlling the throttle opening of the vehicle to be detected, and obtaining a plurality of sets of detection data under different throttle openings, each set of detection data including vehicle time domain data, controller area network bus CAN signal, engine cylinder pressure data, crankshaft position information and camshaft position information;

[0008] determining the first throttle opening with engine intervention feeling according to the vehicle time domain data in the plurality of sets of detection data corresponding to each throttle opening;

[0009] For the first accelerator opening degree with the intervention feeling, the reason for the engine to generate the intervention feeling and a processing suggestion are determined according to the multiple sets of detection data corresponding to the first accelerator opening degree.

[0010] An intervention feeling detection result of the vehicle to be detected is output, and the intervention feeling detection result includes the first accelerator opening degree with the intervention feeling, the reason for the engine to generate the intervention feeling, and the processing suggestion.

[0011] In combination with the first aspect, in some embodiments, the first accelerator opening degree with the engine intervention feeling is determined according to vehicle time domain data in multiple sets of detection data corresponding to each accelerator opening degree, and includes:

[0012] For each accelerator opening degree, multiple first time domain data corresponding to a preset time length are obtained from multiple sets of detection data corresponding to the accelerator opening degree, and the preset time length represents a time length for the engine to access to a stable engine speed.

[0013] Based on each first time domain data, a vibration dose value VDV in each dimension direction in a three-dimensional space and an energy vector sum RSQ average value corresponding to each accelerator opening degree are calculated.

[0014] According to the RSQ average value corresponding to each accelerator opening degree and a pre-set intervention feeling condition, whether the engine has the intervention feeling under the accelerator opening degree is determined, and the first accelerator opening degree with the engine intervention feeling is determined.

[0015] In combination with the first aspect, in some embodiments, the reason for the engine to generate the intervention feeling and a processing suggestion are determined according to the multiple sets of detection data corresponding to the first accelerator opening degree with the intervention feeling, and include:

[0016] Second time domain data are obtained from the multiple first time domain data corresponding to the first accelerator opening degree, and the second time domain data include a first time domain data with the maximum RSQ value in the multiple first time domain data and a first time domain data corresponding to an RSQ value with the minimum difference from the RSQ average value.

[0017] The real part calculation is performed in each dimension direction in a three-dimensional space on the second time domain data to obtain a contribution frequency in a direction with the maximum contribution.

[0018] According to the CAN signal, the engine cylinder pressure data, the crankshaft position information, the camshaft position information corresponding to the second time domain data, and the contribution frequency in the direction with the maximum contribution, a pre-trained in-vehicle jitter abnormality detection model is used to determine the reason for the engine to generate the intervention feeling and a processing suggestion, and the in-vehicle jitter abnormality detection model is pre-trained according to a neural network algorithm model.

[0019] In combination with the first aspect, in some embodiments, before the step of obtaining, for each accelerator opening degree, a plurality of first time-domain data corresponding to a preset time length from a plurality of sets of detection data corresponding to the accelerator opening degree, the method further comprises:

[0020] band-pass filtering the vehicle time-domain data in the plurality of sets of detection data corresponding to each accelerator opening degree, wherein a filtering range of the band-pass filtering is 1 Hz-32 Hz.

[0021] In combination with the first aspect, in some embodiments, the intervention feeling condition comprises:

[0022] when the accelerator opening degree is between 15% and 45%, if the average value of RSQ exceeds 0.3 m / s 1.75 , it is determined that the engine intervention;

[0023] when the accelerator opening degree is between 46% and 100%, if the average value of RSQ exceeds 0.5 m / s 1.75 , it is determined that the engine intervention.

[0024] In combination with the first aspect, in some embodiments, the step of controlling the accelerator opening degree of the vehicle to be detected to obtain a plurality of sets of detection data of the vibration in the vehicle under different accelerator opening degrees comprises:

[0025] controlling the accelerator opening degree of the vehicle to be detected to a preset opening degree by INCA control setting, and then controlling the vehicle to start and accelerate, obtaining a set of detection data by an acceleration sensor, a cylinder pressure sensor, a crankshaft position sensor, and a camshaft position sensor, setting the same or different accelerator opening degree, repeating the step to detect the vehicle until the plurality of sets of detection data are obtained; wherein the preset opening degree is a value in any one range of 15% to 100%.

[0026] The second aspect provides a detection device for engine intervention feeling of a hybrid vehicle during driving, comprising:

[0027] a data acquisition module configured to control the accelerator opening degree of the vehicle to be detected, and obtain a plurality of sets of detection data of the vibration in the vehicle under different accelerator opening degrees, wherein each set of detection data comprises vehicle time-domain data, a controller area network bus CAN signal, engine cylinder pressure data, crankshaft position information, and camshaft position information;

[0028] a result determination module configured to determine, according to the vehicle time-domain data in the plurality of sets of detection data corresponding to each accelerator opening degree, a first accelerator opening degree at which the engine intervention feeling exists;

[0029] a reason determination module configured to, for the first accelerator opening degree at which the intervention feeling exists, determine, according to the plurality of sets of detection data corresponding to the first accelerator opening degree, a reason for causing the engine intervention feeling and a processing suggestion;

[0030] The result output module is used to output the intervention detection result of the vehicle under test. The intervention detection result includes the first throttle opening that generates the intervention, the cause of the engine intervention, and the processing suggestion.

[0031] In conjunction with the second aspect, in some embodiments, the result determination module includes:

[0032] The data acquisition unit is used to acquire multiple first time domain data corresponding to a preset duration from multiple sets of detection data corresponding to the throttle opening for each throttle opening, wherein the preset duration represents the duration from engine engagement to engine speed stabilization.

[0033] The data calculation unit is used to calculate the vibration dose VDV value in each dimension direction in three-dimensional space and the energy vector and RSQ average value corresponding to each throttle opening based on each first time domain data.

[0034] The result determination unit is used to determine whether there is an engine intervention sensation under the throttle opening based on the average RSQ value corresponding to each throttle opening and the pre-set intervention sensation conditions, and to determine the first throttle opening at which the engine intervention sensation exists.

[0035] In conjunction with the second aspect, in some embodiments, the cause determination module includes:

[0036] The data acquisition unit is used to acquire second time-domain data from a plurality of first time-domain data corresponding to the first throttle opening; the second time-domain data includes the first time-domain data with the largest RSQ value among the plurality of first time-domain data and the first time-domain data corresponding to the RSQ value with the smallest difference from the average RSQ value;

[0037] The frequency domain calculation unit is used to calculate the real part of the second time domain data in each dimension of the three-dimensional space and obtain the contribution frequency in the direction of maximum contribution.

[0038] The cause determination unit is used to determine the cause of the engine intervention feeling and the handling suggestions based on the CAN signal corresponding to the second time domain data, the engine cylinder pressure data, the crankshaft position information and the camshaft position information, and the contribution frequency of the direction with the largest contribution, using a pre-trained in-vehicle vibration anomaly detection model; wherein the in-vehicle vibration anomaly detection model is pre-trained based on a neural network algorithm model.

[0039] In conjunction with the second aspect, in some embodiments, before the data acquisition unit, the result determination module further includes:

[0040] The data processing unit is configured to perform band-pass filtering on the time-domain vehicle data in each group of detection data corresponding to the accelerator opening degree, and the filtering range of the band-pass filtering is 1 Hz-32 Hz.

[0041] With reference to the second aspect, in some embodiments, the intervention condition includes:

[0042] When the accelerator opening degree is between 15% and 45%, if the average value of the RSQ exceeds 0.3 m / s 1.75 , it is determined that the engine intervention.

[0043] When the accelerator opening degree is between 46% and 100%, if the average value of the RSQ exceeds 0.5 m / s 1.75 , it is determined that the engine intervention.

[0044] With reference to the second aspect, in some embodiments, the method further includes:

[0045] The accelerator opening degree of the vehicle to be detected is set to a preset opening degree by using the INCA control, and then the vehicle is controlled to start and accelerate to drive, and a group of detection data is obtained by using the acceleration sensor, the cylinder pressure sensor, the crankshaft position sensor and the camshaft position sensor; the accelerator opening degree is set to be the same or different, and the vehicle is detected repeatedly until the multiple groups of detection data are obtained; and the preset opening degree is a value in any range of 15% to 100%.

[0046] In a third aspect, the present application provides an electronic device, including a memory, a display screen, a processor and a communication interface.

[0047] The memory stores computer execution instructions.

[0048] The processor executes the computer execution instructions stored in the memory to implement the method of any one of the above aspects.

[0049] In a fourth aspect, the present application further provides a computer readable storage medium, which stores computer execution instructions, and the computer execution instructions are executed by the processor to implement the detection method of the engine intervention of the hybrid vehicle during driving.

[0050] The application provides a detection method, device and equipment for engine intervention feeling of a hybrid vehicle during driving, which obtains a plurality of sets of detection data of vibration in the vehicle under different throttle openings by controlling the throttle opening of a vehicle to be detected, the fourth power vibration dose evaluation method is more sensitive to the peak value of the impact, and the essence thereof is the Riemann sum with respect to time, the influence of the signal duration is fully considered, and thus the vibration dose evaluation method is suitable for evaluating and measuring the impact, so that the engine intervention feeling is measured by using the vibration dose evaluation method, the first throttle opening with the engine intervention feeling is determined, and the position of each cylinder of the engine and the cylinder deactivation position when the engine is off are accurately calculated by using a neural network algorithm model according to the crankshaft position information, the camshaft position information and the cylinder pressure data in the plurality of sets of detection data corresponding to the first throttle opening, so that the cause of the engine intervention feeling and the processing suggestion are determined. Therefore, the detection of the engine intervention feeling of the hybrid vehicle during driving is realized, and the deficiency of the prior art is made up. BRIEF DESCRIPTION OF DRAWINGS

[0051] The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0052] Figure 1 An application scenario diagram of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the embodiment of the application is shown in the figure.

[0053] Figure 2 A flowchart of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the first embodiment of the application is shown in the figure.

[0054] Figure 3 A flowchart of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the second embodiment of the application is shown in the figure.

[0055] Figure 4 A flowchart of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the third embodiment of the application is shown in the figure.

[0056] Figure 5 A system architecture diagram of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the embodiment of the application is shown in the figure.

[0057] Figure 6 A structure diagram of the detection device for engine intervention feeling of a hybrid vehicle during driving provided by the first embodiment of the application is shown in the figure.

[0058] Figure 7 A structure diagram of the detection device for engine intervention feeling of a hybrid vehicle during driving provided by the second embodiment of the application is shown in the figure.

[0059] Figure 8Structure diagram of a detection device for engine intervention feeling of a hybrid vehicle during driving provided by an embodiment of the present application;

[0060] Figure 9 Structure diagram of an electronic device provided by an embodiment of the present application.

[0061] The specific embodiments of the present application have been shown by the above-described drawings, and will be described in more detail hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application by any means, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0062] The exemplary embodiments will be described in detail herein with reference to the attached drawings. In the following description, the same numbers are used to indicate the same elements throughout the several views. The following exemplary embodiments are described with reference to the figures. Unless specifically set forth herein, the embodiments described herein are not intended to be limiting thereof. Rather, they are merely examples of apparatus and methods consistent with aspects of the present application as detailed in the appended claims.

[0063] With the development of energy-saving and new energy technologies for automobiles, fuel economy and emission have become the mainstream of automobile development. Obviously, developing new energy vehicles to achieve energy saving and emission reduction has become an urgent problem to be solved for the sustainable development of the world automobile industry. With energy saving and emission reduction becoming the common pursuit of the current automobile industry, the proportion of new energy vehicles in the automobile industry is also increasing. Among them, hybrid vehicles are an important research and development direction of the current automobile industry, and have considerable market prospects. However, the hybrid special engine in hybrid vehicles will cause the whole vehicle to shake when it intervenes, just like traditional vehicles. In the prior art, the detection method for the special engine intervention feeling of hybrid vehicles during driving still follows the detection method of traditional vehicles. The traditional method is mainly for the traditional vehicle engine start-stop working condition, and is not suitable for the detection of engine intervention of hybrid vehicles during driving. Therefore, the prior art cannot accurately detect the whole vehicle shaking problem caused by the hybrid special engine.

[0064] To solve the above problems, the application provides a detection method, device and equipment for engine intervention feeling of a hybrid vehicle during driving, which realizes accurate detection of the whole vehicle shaking problem caused by the hybrid engine. Specifically, the detection method for the whole vehicle shaking problem caused by the hybrid engine in the prior art is the detection method for traditional vehicles, but the traditional method mainly detects the engine start-stop working condition of the traditional vehicle in place, and the engine intervention of the hybrid vehicle is usually in the driving process. Therefore, the prior art cannot accurately detect the whole vehicle shaking problem caused by the hybrid engine. Considering these problems, the inventors have researched whether the seat rail vibration at the engine starting moment during driving can be automatically intercepted by an intelligent operation system based on the controller area network (CAN) information such as the throttle opening degree and engine speed to measure the engine intervention feeling, and the engine position and engine off cylinder position are accurately calculated based on the crankshaft position sensor, camshaft position sensor, ignition signal and cylinder pressure sensor information, so as to accurately locate the specific cause of the whole vehicle shaking. Based on this, the technical scheme of the application is proposed.

[0065] Figure 1 The application scenario of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the embodiment of the application is the detection scenario of engine intervention feeling of a hybrid vehicle during driving, which at least includes a to-be-detected vehicle and a detection device. The to-be-detected vehicle is a hybrid vehicle with a hybrid engine, and the detection device is an electronic device that can be communicatively linked with the to-be-detected vehicle and can detect the engine intervention feeling of the hybrid vehicle during driving.

[0066] The specific form and type of each device in the application are not limited.

[0067] The technical scheme of the application and how the technical scheme solves the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the application will be described below with reference to the drawings.

[0068] Figure 2 The flowchart of the detection method for engine intervention feeling of a hybrid vehicle during driving provided by the first embodiment of the application is shown in FIG. 1, which specifically includes the following steps. Figure 2

[0069] S101: Control the throttle opening degree of the to-be-detected vehicle, and obtain a plurality of sets of detection data of the vibration in the vehicle under different throttle opening degrees.

[0070] ​In this step, in order to accurately locate the cause of the shaking problem in the vehicle, multiple data acquisition experiments need to be performed on the vehicle to be tested. Therefore, the test environment is set through the automobile calibration tool INCA (Integrated Calibration and Acquisition System), the engine start and stop of the vehicle is controlled, and the throttle opening is controlled, so as to obtain multiple sets of detection data of the vehicle vibration under different throttle openings.

[0071] Specifically, the vehicle is in a low battery charge state (SOC) critical value, for example, the SOC of a hybrid electric vehicle is limited to 38%, and the SOC of a plug-in hybrid vehicle is limited to 7%-12%. The specific SOC critical value can be set according to different hybrid vehicles, and the specific critical value is not limited in this scheme. A three-axis acceleration sensor is installed in front of the right front seat rail of the vehicle to be tested, and a cylinder pressure sensor is installed at the engine ignition coil. The vehicle to be tested is connected to the detection equipment through a specially designed CAN line. After the test environment is set, the vehicle is powered on, different throttle openings are set, the vehicle is started and accelerated, and after the engine runs for a predetermined time, the vehicle is braked and decelerated until the engine is turned off. Each throttle opening is tested at least 10 times, so as to obtain multiple sets of detection data of the vehicle vibration under different throttle openings, wherein each set of detection data includes vehicle time domain data, CAN signals, engine cylinder pressure data, crankshaft position information and camshaft position information.

[0072] S102: According to the vehicle time domain data in the multiple sets of detection data corresponding to each throttle opening, the first throttle opening with engine intervention feeling is determined.

[0073] In this step, multiple sets of detection data of different throttle openings are obtained in the above step experiment. According to the vehicle time domain data in the multiple sets of detection data corresponding to each throttle opening, the VDV evaluation method and the intervention feeling calculation formula are used to obtain the intervention feeling output value. According to the pre-set intervention feeling condition, the first throttle opening with engine intervention feeling is determined.

[0074] Specifically, for each throttle opening, multiple time domain data in the engine intervention process are intercepted from the multiple sets of detection data corresponding to the throttle opening as multiple first time domain data, wherein the engine intervention process is the time period from 2 seconds before the engine starts to the stable engine speed. Then, VDV calculation is performed on each first time domain data, so as to obtain the VDV value in three dimensions in three-dimensional space, wherein the VDV standardization is defined as:

[0075]

[0076] wherein a(t) is the vibration acceleration time-domain signal (unit: m / s 2 ) without weighting processing, VDV is the vibration acceleration time-domain signal (unit: m / s 1.75 .

[0077] Then, according to the VDV values in the three dimension directions, residual square sum is calculated to obtain the energy vector sum (Residual Square, RSQ) value, and the calculation formula of the RSQ value is as follows:

[0078]

[0079] wherein x, y and z refer to the three dimension directions, specifically, x refers to the direction from front to back in the three-dimensional coordinate system, y refers to the direction from left to right, and z refers to the direction from bottom to top.

[0080] After the multiple RSQ values are calculated, the average value of the multiple RSQ values corresponding to each throttle opening is calculated, and according to the RSQ average value of each throttle opening and the pre-set intervention feeling condition, the intervention feeling output is obtained, if the output is 1, it means that there is intervention feeling, if the output is 0, it means that there is no intervention feeling, wherein the pre-set intervention feeling condition includes:

[0081] when the throttle opening is between 15% and 45%, if the RSQ average value exceeds 0.3 m / s 1.75 , the intervention feeling output is 1, otherwise the output is 0.

[0082] when the throttle opening is between 46% and 100%, if the RSQ average value exceeds 0.5 m / s 1.75 , the intervention feeling output is 1, otherwise the output is 0.

[0083] S103: For the first throttle opening with intervention feeling, according to the multiple groups of detection data corresponding to the first throttle opening, the reason causing the engine to produce intervention feeling and the processing suggestion are determined.

[0084] In this step, the first throttle opening with intervention feeling is obtained according to the calculation judgment of the above steps, in order to accurately locate the specific reason causing the vehicle shaking problem, the multiple groups of detection data corresponding to the first throttle opening with intervention feeling are analyzed, so as to determine the reason causing the engine to produce intervention feeling, and the corresponding processing suggestion is given according to the analysis reason.

[0085] Specifically, the second time domain data is obtained from the plurality of first time domain data corresponding to the first throttle opening, the second time domain data being the first time domain data with the maximum RSQ value and the first time domain data corresponding to the RSQ value with the minimum difference from the RSQ average value in the plurality of first time domain data, the second time domain data including two components of real part and imaginary part, the real part of the second time domain data is analyzed to filter out the second time domain data of the direction with the maximum contribution, wherein the real part of the second time domain data represents the amplitude, and the maximum contribution represents the maximum amplitude. Further, the time domain data of the direction with the maximum contribution in the second time domain data is subjected to Fourier transform and wavelet analysis to obtain the self-power spectrum, and the contribution frequency in the direction with the maximum contribution is obtained according to the self-power spectrum. Finally, the second time domain data corresponding to the contribution frequency in the direction with the maximum contribution, the CAN signal, the engine cylinder pressure data, the crankshaft position information and the camshaft position information are analyzed by using the pre-trained in-vehicle jitter abnormality detection model to determine the cause of the strong intervention feeling of the engine and give a processing suggestion. The data obtained from the CAN signal, the engine cylinder pressure data obtained by the cylinder pressure sensor, the crankshaft position information and the camshaft position information obtained by the engine self-crankshaft position and camshaft position, and the pre-trained in-vehicle jitter abnormality detection model are model.

[0086] S104: output the intervention feeling detection result of the vehicle to be detected.

[0087] In this step, the engine cylinder pressure data, the crankshaft position, and the camshaft position are analyzed and calculated by the reverse error propagation algorithm model to determine the cause of the strong intervention feeling of the engine. In order to enable the user to more clearly know the specific detection result of the vehicle to be detected, the intervention feeling detection result of the vehicle to be detected is finally output for the user to view.

[0088] Specifically, the intervention feeling detection result of the vehicle to be detected includes the first throttle opening with the intervention feeling, the specific cause of the engine intervention feeling, and the optimization suggestion for the specific cause. For example, the crankshaft position sensor can determine whether the 1st cylinder and the 4th cylinder are at the top dead center through the missing tooth position, if the crankshaft position sensor determines that the 1st cylinder and the 4th cylinder are at the top dead center, the camshaft position sensor can determine whether the 1st cylinder and the 4th cylinder are at the compression stroke or the exhaust stroke according to the phase angle, so as to accurately determine the position of each cylinder and the stop cylinder position when the engine is off. After the crankshaft position sensor and the camshaft position sensor determine the position of each cylinder, the cylinder in the working stroke can be accurately identified through the ignition signal, and when the engine needs to be off during driving, the piston is at the bottom dead center, the engine is automatically prompted to continue the combustion process, thereby reducing the strong intervention feeling caused by the excessive engine cylinder pressure during driving.

[0089] The engine intervention detection method for the hybrid vehicle provided by the embodiment can control the throttle opening degree of the vehicle to be detected, thereby performing multiple experiments, obtaining multiple sets of detection data of the vehicle vibration under different throttle opening degrees, determining the first throttle opening degree with the engine intervention according to the vehicle time domain data in the multiple sets of detection data, determining the cause of the engine intervention and the processing suggestion according to the multiple sets of detection data corresponding to the first throttle opening degree, and finally outputting the intervention detection result for the user to view. The multiple sets of detection data under different throttle opening degrees are analyzed to obtain the reasonable limit value of the vehicle vibration when the engine intervenes, and the cause of the engine intervention is accurately obtained through data analysis, thereby solving the problem that the specific cause cannot be accurately determined in the prior art.

[0090] Figure 3 The flowchart of the second embodiment of the engine intervention detection method for the hybrid vehicle provided by the embodiment is shown in FIG. 2. Figure 3 According to the vehicle time domain data in the multiple sets of detection data corresponding to each throttle opening degree, the first throttle opening degree with the engine intervention is determined in step S102, and the step specifically includes the following steps.

[0091] S1021: The vehicle time domain data in the multiple sets of detection data corresponding to each throttle opening degree is subjected to band-pass filtering processing.

[0092] In this step, noise exists in the time domain data, and the noise can cover various useful information in the time domain data, thereby causing the subsequent results to be inaccurate. In order to make the vehicle time domain data more accurate and the cause obtained according to the vehicle time domain data more accurate, the vehicle time domain data in the multiple sets of detection data corresponding to each throttle opening degree is subjected to band-pass filtering processing.

[0093] Specifically, the filtering range of the band-pass filtering processing is 1Hz-32Hz.

[0094] S1022: For each throttle opening degree, multiple first time domain data corresponding to a preset time length are obtained from the multiple sets of detection data corresponding to the throttle opening degree.

[0095] In this step, in order to quickly lock the specific cause of the intervention, it is determined that the vehicle vibration is caused by the excessive cylinder pressure of a specific cylinder. For each throttle opening degree, the multiple sets of detection data corresponding to the throttle opening degree are intercepted to obtain multiple first time domain data corresponding to a preset time length.

[0096] Specifically, the preset time length represents the time length from when the engine is connected to when the engine speed is stable, for example, the time period from 2 seconds before the engine is started to when the engine speed is stable.

[0097] S1023: Calculate the vibration dose value (VDV) in each dimension direction in three-dimensional space and the energy vector sum (RSQ) average value corresponding to each throttle opening based on each first time-domain data.

[0098] In this step, the DVD evaluation method is more sensitive to the peak of the impact, and its essence is the Riemann sum with respect to time, which fully considers the influence of signal duration and is suitable for evaluating and measuring the impact. The pre-installed three-axis acceleration sensor can collect time-domain data in three directions in the three-dimensional coordinate system. Based on the first time-domain data selected in the above step, the DVD values of the three directions are calculated respectively, and the RSQ value is calculated according to the VDV. The RSQ values of each throttle opening are averaged to obtain the RSQ average value corresponding to each throttle opening.

[0099] Specifically, the DVD value and the RSQ value calculation formula are the same as the calculation method in the above embodiment, which will not be repeated here.

[0100] S1024: Determine whether the engine has a sense of intervention at each throttle opening based on the RSQ average value corresponding to each throttle opening and the pre-set intervention condition, and determine the first throttle opening at which the engine has a sense of intervention.

[0101] In this step, in order to accurately determine the sense of intervention of the vehicle to be detected, the intervention condition is pre-set. Based on the RSQ average value corresponding to each throttle opening, it is determined whether the engine has a sense of intervention at each throttle opening, and the first throttle opening at which the engine has a sense of intervention is determined.

[0102] Specifically, the pre-set intervention condition mainly includes:

[0103] When the throttle opening is between 15% and 45%, if the RSQ average value exceeds 0.3 m / s 1.75 , it is determined that the engine has a sense of intervention. When the throttle opening is between 46% and 100%, if the RSQ average value exceeds 0.5 m / s 1.75 , it is determined that the engine has a sense of intervention.

[0104] The engine intervention detection method for the hybrid vehicle provided by the embodiment can determine the engine intervention of the hybrid vehicle during driving.

[0105] Figure 4 The flowchart of the third embodiment of the engine intervention detection method for the hybrid vehicle provided by the embodiment is shown in FIG. 3. Figure 4 The third embodiment is based on the first embodiment, and step S103 is performed to determine the cause of the engine intervention and the processing suggestion according to the multiple sets of detection data corresponding to the first throttle opening degree, which includes the following steps.

[0106] S1031: Obtain the second time domain data from the multiple first time domain data corresponding to the first throttle opening degree.

[0107] In this step, after the first throttle opening degree is determined according to the multiple experiments on the vehicle to be detected, the data information corresponding to the first throttle opening degree is analyzed to determine the specific cause of the engine intervention.

[0108] Specifically, the engine intervention is determined according to each RSQ average value, and the data is filtered according to the RSQ average value of the first throttle opening degree, and the first time domain data with the maximum RSQ value and the first time domain data corresponding to the RSQ value with the minimum difference from the RSQ average value are selected as the second time domain data from the multiple first time domain data corresponding to the first throttle opening degree.

[0109] S1032: Perform the real part calculation on each dimension direction in the three-dimensional space of the second time domain data to obtain the contribution frequency in the direction with the maximum contribution.

[0110] In this step, the second time domain data selected in the above step is analyzed to obtain the contribution frequency in the direction with the maximum contribution from different directions, so as to determine the specific cause of the engine intervention.

[0111] Specifically, the second time domain data is analyzed in real time to obtain the direction with the largest contribution in the three-dimensional space, and then the second time domain data in the direction with the largest contribution is subjected to Fourier transform operation and wavelet analysis operation to obtain the auto-power spectrum, and the contribution frequency in the direction with the largest contribution is obtained according to the auto-power spectrum.

[0112] The specific formula of Fourier transform is as follows:

[0113]

[0114] wherein ω represents frequency, f(t) represents the original function, i.e., the time domain data of the vehicle, e -iwt is a complex variable function.

[0115] The formula of wavelet transform is as follows:

[0116]

[0117] wherein k determines the position of , and j determines the width and height.

[0118] S1033: According to the CAN signal corresponding to the second time domain data, the engine cylinder pressure data, the crankshaft position information and the camshaft position information, and the contribution frequency in the direction with the largest contribution, a pre-trained in-vehicle jitter abnormality detection model is used to determine the cause of the engine intervention feeling and the processing suggestion.

[0119] In this step, the contribution frequency in the direction with the largest contribution is obtained in the above step. In order to accurately locate the cause of the vehicle jitter caused by the engine intervention feeling, based on the CAN signal corresponding to the second time domain data, the engine cylinder pressure data, the crankshaft position information and the camshaft position information, and the contribution frequency in the direction with the largest contribution, a pre-trained in-vehicle jitter abnormality detection model is used for operation, and then the cause of the engine intervention feeling is obtained, and a processing suggestion is given according to the cause.

[0120] Specifically, according to the contribution frequency in the direction with the largest contribution, the corresponding CAN signal, engine cylinder pressure data, crankshaft position information and camshaft position information in the second time domain data are obtained, wherein the CAN signal is obtained by linking a special CAN line with an On-Board Diagnostics (OBD) interface of the vehicle to be detected, the engine cylinder pressure data is obtained by installing a cylinder pressure sensor at the position of the engine ignition coil, and the crankshaft position information and the camshaft position information are obtained by the crankshaft position sensor and the camshaft position sensor provided by the engine. The above obtained data and information are analyzed by using the back propagation algorithm, so as to obtain the cause of the engine intervention feeling, and a processing suggestion is given according to the cause.

[0121] The method for detecting engine intervention feeling of a hybrid vehicle during driving provided by the embodiment filters first time domain data corresponding to a first accelerator opening degree at which the engine has intervention feeling, filters out abnormal second time domain data, obtains a contribution frequency of a direction with the largest contribution through Fourier transform and wavelet analysis, analyzes the cause through a back-propagation algorithm according to sensor data corresponding to the contribution frequency of the direction with the largest contribution, and gives a suggestion, thereby accurately determining the specific cause of vehicle shaking caused by engine intervention of the hybrid vehicle during driving.

[0122] Figure 5 The system architecture diagram of the method for detecting engine intervention feeling of a hybrid vehicle during driving provided by the embodiment is shown in FIG. 1. Figure 5 As shown in FIG. 1, the system architecture of the method for detecting engine intervention feeling of a hybrid vehicle during driving provided by the embodiment mainly includes an experiment preparation module, an experiment module, and a data analysis module.

[0123] The experiment preparation module controls the SOC of the vehicle to be detected to be at a low critical value, installs a three-axis acceleration sensor at the right front of the main driver's seat rail, installs a cylinder pressure sensor at the position of the engine ignition coil, then connects a special CAN line to the OBD interface of the vehicle to be detected to facilitate subsequent acquisition of CAN signals, connects the three-axis acceleration sensor, the cylinder pressure sensor, and the crankshaft position sensor and the camshaft position sensor provided by the engine to the detection equipment with special CAN lines, at this time, the vehicle to be detected is powered on, the INCA software of the detection equipment controls the engine to start, at this time, the system diagnosis module of the detection equipment performs self-diagnosis until no fault is found, at this time, the experiment preparation work is completed, and the experiment can be normally performed.

[0124] The experiment module and the data analysis module are used to execute the method for detecting engine intervention feeling of a hybrid vehicle during driving in any of the preceding method embodiments, and have similar implementation principles and technical effects, which will not be described here.

[0125] Figure 6 The structure diagram of the detection device for detecting engine intervention feeling of a hybrid vehicle during driving provided by the embodiment is shown in FIG. 2. Figure 6 As shown in FIG. 2, the detection device 200 for detecting engine intervention feeling of a hybrid vehicle during driving provided by the embodiment specifically includes:

[0126] The data acquisition module 201 is configured to control the accelerator opening degree of the vehicle to be detected, and acquire a plurality of groups of detection data of vehicle vibration under different accelerator opening degrees, each group of detection data including vehicle time domain data, controller area network bus CAN signal, engine cylinder pressure data, crankshaft position information, and camshaft position information.

[0127] The result determining module 202 is configured to determine a first throttle opening degree at which the engine intervention feeling exists according to the vehicle time domain data in the multiple groups of detection data corresponding to each throttle opening degree.

[0128] The cause determining module 203 is configured to determine the cause of the engine intervention feeling and the processing suggestion according to the multiple groups of detection data corresponding to the first throttle opening degree at which the engine intervention feeling exists.

[0129] The result output module 204 is configured to output the intervention feeling detection result of the vehicle to be detected, and the intervention feeling detection result includes the first throttle opening degree at which the engine intervention feeling exists, the cause of the engine intervention feeling and the processing suggestion.

[0130] Figure 7 A structure diagram of a second embodiment of the hybrid vehicle engine intervention feeling detection device provided by the embodiment is shown in FIG. 2. Figure 7 As shown in FIG. 2, the result determining module 202 specifically includes:

[0131] The data processing unit 2021 is configured to perform band-pass filtering processing on the vehicle time domain data in the multiple groups of detection data corresponding to each throttle opening degree, and the filtering range of the band-pass filtering processing is 1Hz-32Hz.

[0132] The data acquisition unit 2022 is configured to acquire, for each throttle opening degree, multiple first time domain data corresponding to a preset time length from the multiple groups of detection data corresponding to the throttle opening degree, and the preset time length represents the time length during which the engine is connected to the engine speed stabilization.

[0133] The data calculation unit 2023 is configured to calculate, based on each first time domain data, the vibration dose VDV value in each dimension direction in the three-dimensional space and the energy vector sum RSQ average value corresponding to each throttle opening degree.

[0134] The result determining unit 2024 is configured to determine whether the engine has the intervention feeling at the throttle opening degree according to the RSQ average value corresponding to each throttle opening degree and the intervention feeling condition set in advance, and determine the first throttle opening degree at which the engine has the intervention feeling.

[0135] Figure 8 A structure diagram of a third embodiment of the hybrid vehicle engine intervention feeling detection device provided by the embodiment is shown in FIG. 3. Figure 8 As shown in FIG. 3, the cause determining module 203 includes:

[0136] The data acquisition unit 2031 is configured to acquire second time domain data from the multiple first time domain data corresponding to the first throttle opening degree; the second time domain data includes the first time domain data with the maximum RSQ value in the multiple first time domain data and the first time domain data corresponding to the RSQ value with the minimum difference value from the RSQ average value.

[0137] The frequency domain calculation unit 2032 is configured to calculate the real part in each dimension direction in the three-dimensional space on the second time domain data to obtain the contribution frequency in the direction with the maximum contribution.

[0138] The reason determination unit 2033 is configured to determine the cause of the engine intervention feeling and the processing suggestion according to the CAN signal corresponding to the second time domain data, the engine cylinder pressure data, the crankshaft position information and the camshaft position information, and the contribution frequency in the direction with the maximum contribution by using a pre-trained in-vehicle jitter abnormality detection model; wherein the in-vehicle jitter abnormality detection model is obtained by pre-training according to a neural network algorithm model.

[0139] The detection device for the engine intervention feeling of the hybrid vehicle during driving provided by the embodiment of the application, the intervention feeling condition comprises:

[0140] When the throttle opening degree is between 15% and 45%, if the average value of RSQ exceeds 0.3 m / s 1.75 , it is determined that the engine intervenes.

[0141] When the throttle opening degree is between 46% and 100%, if the average value of RSQ exceeds 0.5 m / s 1.75 , it is determined that the engine intervenes.

[0142] The detection device for the engine intervention feeling of the hybrid vehicle during driving provided by the embodiment of the application, the throttle opening degree of the vehicle to be detected is controlled to obtain a plurality of sets of detection data when the in-vehicle vibration is in different throttle opening degrees, comprising:

[0143] The throttle opening degree of the vehicle to be detected is controlled to reach a preset opening degree by INCA, and then the vehicle is controlled to start and accelerate to drive, a set of detection data is obtained by the acceleration sensor arranged at the driver's seat, the cylinder pressure sensor arranged at the position of the engine ignition coil, the crankshaft position sensor and the camshaft position sensor of the engine, the same or different throttle opening degrees are set, the vehicle is detected repeatedly, and a plurality of sets of detection data are obtained; wherein the preset opening degree is a value in any range of 15% to 100%.

[0144] The detection device for the engine intervention feeling of the hybrid vehicle during driving provided by the embodiment of the application is used to execute the detection method for the engine intervention feeling of the hybrid vehicle during driving in any of the preceding method embodiments, and the implementation principle and technical effects are similar, which will not be described here.

[0145] Figure 9 The structural schematic diagram of the electronic device provided by the embodiment of the application is shown in FIG. 3. Figure 9 As shown in FIG. 3, the electronic device 300 comprises a memory 301, a display screen 302, a processor 303, and a communication interface 304.

[0146] The memory 301 stores computer-executable instructions.

[0147] The display screen 302 is used for the user to change the condition setting and output the detection result.

[0148] The processor 303 executes the computer-executable instructions stored in the memory 301 to implement the technical solutions in any of the above-mentioned embodiments.

[0149] The communication interface 304 is used for data transmission link with the vehicle to be detected.

[0150] It should be understood that the processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor and the like. The steps of the method disclosed in the present application can be directly embodied as hardware processor execution, or executed by a combination of hardware and software modules in the processor.

[0151] All or part of the steps of the above-mentioned method embodiments can be completed by program instruction related hardware. The foregoing program can be stored in a readable memory. The program, when executed, executes the steps of the above-mentioned method embodiments; and the foregoing memory (storage medium) includes read-only memory (ROM), RAM, flash memory, hard disk, solid state disk, magnetic tape, floppy disk, optical disc and any combination thereof.

[0152] The electronic device provided in the embodiment is used to execute the technical solutions in any of the above-mentioned method embodiments, and has similar implementation principles and technical effects, which will not be described here.

[0153] The embodiment of the present application further provides a computer readable storage medium, and the computer readable storage medium stores computer-executable instructions. When the computer-executable instructions are executed by the processor, the computer-executable instructions are used to implement the method in any of the embodiments.

[0154] The above readable storage medium can be implemented by any type of volatile or nonvolatile storage devices or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0155] Optionally, the readable storage medium is coupled to the processor, so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be an integral part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in the device.

[0156] The embodiments of the present application further provide a computer program product, which comprises a computer program stored in a computer readable storage medium, and at least one processor can read the computer program from the computer readable storage medium, and the at least one processor executes the computer program to implement the technical solutions provided by any of the above method embodiments.

[0157] Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. The specification and examples given are considered exemplary only, and the true scope and spirit of the application is indicated by the following claims. It will be appreciated by persons skilled in the art that numerous variations and / or modifications can be made to the application as described above without departing from the scope or spirit of the application. It is intended that all such variations and / or modifications be included within the scope of the application. The specification and examples given are considered exemplary only, and the true scope and spirit of the application is indicated by the following claims.

[0158] It should be understood that the application is not limited to the precise construction that has been described above and illustrated in the accompanying drawings, and that various modifications and changes can be made by those skilled in the art without departing from the scope of the application. The scope of the application is limited only by the appended claims.

Claims

1. A method for detecting the engine intervention feeling of a hybrid vehicle during driving, characterized by, The method comprises the following steps: controlling the throttle opening of a vehicle to be detected, and obtaining a plurality of sets of detection data of vehicle vibration under different throttle openings, each set of detection data comprising vehicle time domain data, controller area network (CAN) bus signals, engine cylinder pressure data, crankshaft position information and camshaft position information; for each throttle opening, obtaining a plurality of first time domain data corresponding to a preset time length from the plurality of sets of detection data corresponding to the throttle opening, the preset time length representing the time length during which the engine is connected to the stable engine speed; calculating the vibration dose value (VDV) in each dimension direction in a three-dimensional space based on each first time domain data, and calculating the average value of the energy vector sum (RSQ) corresponding to each throttle opening; determining whether the engine under each throttle opening has the intervention feeling according to the average value of the RSQ corresponding to each throttle opening and a pre-set intervention feeling condition, and determining the first throttle opening under which the engine has the intervention feeling; for the first throttle opening under which the engine has the intervention feeling, determining the cause of the intervention feeling of the engine and a processing suggestion according to the plurality of sets of detection data corresponding to the first throttle opening; outputting the intervention feeling detection result of the vehicle to be detected, which comprises the first throttle opening under which the engine has the intervention feeling, the cause of the intervention feeling of the engine and the processing suggestion.

2. The method of claim 1, wherein, The method further comprises the following steps before the step of obtaining the plurality of first time domain data corresponding to the preset time length from the plurality of sets of detection data corresponding to each throttle opening: performing band-pass filtering processing on the vehicle time domain data in the plurality of sets of detection data corresponding to each throttle opening, and the filtering range of the band-pass filtering processing is 1-32 Hz. The intervention feeling condition comprises: The step of controlling the throttle opening of the vehicle to be detected and obtaining the plurality of sets of detection data of vehicle vibration under different throttle openings comprises:

3. The method of claim 1, wherein, ​ ​ 4. The method according to any one of claims 1 to 3, characterized in that, ​ If the average value of RSQ exceeds 0.3 when the throttle opening is between 15% and 45% then the engine intervention is determined; If the average value of RSQ exceeds 0.5 when the throttle opening is between 46% and 100% then the engine intervention is determined.

5. The method according to any one of claims 1 to 3, characterized in that, ​ The throttle opening degree of the vehicle to be detected is set to a preset opening degree by the INCA control, and then the vehicle is controlled to start and accelerate, a group of detection data is obtained by an acceleration sensor, a cylinder pressure sensor, a crankshaft position sensor and a camshaft position sensor, the same or different throttle opening degree is set, and the vehicle is detected repeatedly until a plurality of groups of detection data are obtained; wherein the preset opening degree is a value in any range from 15% to 100%.

6. A device for detecting engine intervention sensation during hybrid vehicle operation, characterized in that, A computer program product for performing the method of any one of claims 1 to 5.

7. An electronic device comprising: a memory, a display screen, a processor, a communication interface; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to realize the method of any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer execution instructions, and the computer execution instructions are executed by the processor to realize the detection method of the engine intervention feeling of the hybrid vehicle during driving according to any one of claims 1 to 5.

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