Electric vehicle vibration transmission path analysis method and related equipment

Abstract

The invention belongs to the technical field of electric vehicles, and discloses an electric vehicle vibration transmission path analysis method and related equipment, and the method innovatively combines a TCMN (time convolution hybrid network) model and an OTPA (working condition transmission path analysis) model to construct an OTPA-TCMN model. According to the OTPA-TCMN model, the TCMN is used for carrying out complex value crosstalk elimination processing on frequency domain signals, a transfer function in the OTPA is effectively corrected, and the problems of path coupling and signal crosstalk when a traditional OTPA is used for processing a complex mechanical system are solved. A target point response signal is obtained through OTPA-TCMN model reconstruction, and the actual contribution degree of each vibration transmission path can be reflected more accurately. The derivation process not only improves the analysis accuracy, but also retains the advantages of convenient OTPA operation and low resource consumption. By adopting the method, the analysis result of the vibration transmission path of the electric vehicle can be efficiently and accurately provided, and the method has important significance for optimizing the NVH performance of the electric vehicle.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric vehicles, and particularly relates to a method for analyzing the vibration transmission path of an electric vehicle and related equipment. Background Art

[0002] Vibration transmission path analysis is an essential part in the research and development process of electric vehicles. By deeply analyzing the transmission path of vibration and noise, the source and propagation path can be found, providing an effective basis for vibration control. This not only helps to improve the performance and comfort of the vehicle, but also optimizes the vehicle design and development process, and improves the product quality and reliability.

[0003] Transfer Path Analysis (TPA) can identify important excitation sources and transfer paths, thus solving noise, vibration, and harshness (NVH) problems. TPA includes three categories: classical TPA, component-based TPA, and operating condition TPA (OTPA); although classical TPA and component-based TPA can provide accurate analysis results based on the frequency response function (FRF), in practical engineering applications, the measurement of the frequency response function faces many difficulties. Classical TPA relies on accurate FRF data, and although component-based TPA simplifies the experimental process by introducing blocking forces, it still requires accurate FRF between active and passive components. Although the results of these two methods are reliable, their high costs and huge resource consumption greatly limit their practical application scope. On the other hand, although operating condition TPA (OTPA) uses the transfer rate function to replace the FRF, which has the advantages of convenient operation and low resource consumption, when dealing with complex mechanical systems, it is severely troubled by path coupling and signal crosstalk, resulting in a significant reduction in the accuracy of the analysis results.

[0004] It can be seen that the existing TPA methods all have significant technical problems in practical applications. Especially when dealing with complex mechanical systems with multiple components such as electric vehicles, the problem of structural crosstalk is particularly prominent, making OTPA unable to be directly used to solve actual vibration transmission problems. Summary of the Invention

[0005] The present invention provides a method for analyzing the vibration transmission path of an electric vehicle and related equipment. By using this method, accurate analysis results under complex value conditions can be obtained in a simple and economical manner without structural decoupling.

[0006] To achieve the above object, the present invention adopts the following technical solutions: A method for analyzing the vibration transmission path of an electric vehicle, comprising: Collecting the time-domain signal of a reference point on the vibration transmission path of the electric vehicle to be analyzed; Performing time-domain to frequency-domain data conversion on the reference point time-domain signal to obtain a frequency-domain signal; Input the frequency-domain signal into the pre-constructed OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; among them, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model. Calculate the contribution degree of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution degree is used to obtain the vibration transfer path analysis result of the electric vehicle through analysis.

[0007] Further, the conversion of the reference point time-domain signal into time-domain and frequency-domain data to obtain the frequency-domain signal includes: Use the Welch method to segment the reference point time-domain signal and calculate the corresponding spectral signal to obtain the auto-power spectrum and the cross-power spectrum.

[0008] Further, the specific calculation formula for using the Welch method to segment the reference point time-domain signal and calculate the corresponding spectral signal is as follows:

[0009]

[0010] In the formula, represents the auto-power spectrum; represents the cross-power spectrum; represents the signal 's average auto-power spectrum; is the cross-power spectrum of signal and signal ; L represents the number of segments.

[0011] Further, the inputting the frequency-domain signal into the pre-constructed OTPA-TCMN model to reconstruct the target point response signal includes: Use the pre-constructed OTPA-TCMN model to perform complex-valued crosstalk cancellation processing on the cross-power spectrum in the frequency-domain signal to realize the correction of the transfer function of the OTPA-TCMN model; Based on the reference point signal matrix after complex-valued crosstalk cancellation processing and the corrected transfer function, reconstruct the target point response signal; the reference point signal matrix after complex-valued crosstalk cancellation processing is composed of the auto-power spectrum and the cross-power spectrum after complex-valued crosstalk cancellation processing.

[0012] Further, the using the pre-constructed OTPA-TCMN model to perform complex-valued crosstalk cancellation processing on the cross-power spectrum in the frequency-domain signal to realize the correction of the transfer function of the OTPA-TCMN model includes: Using the pre-built OTPA-TCMN model, perform data centering and whitening processing on the reference point signal matrix corresponding to the frequency-domain signal; Based on the whitened reference point signal matrix, perform complex-valued ICA and fixed-point iteration operations to achieve the elimination of complex-valued crosstalk in the cross-power spectrum of the frequency-domain signal, and obtain the reference point signal matrix after complex-valued crosstalk elimination processing and the corrected transfer function.

[0013] Furthermore, based on the reference point signal matrix after complex-valued crosstalk elimination processing and the corrected transfer function, reconstruct the target point response signal. The specific formula is as follows:

[0014] In the formula, is the reconstructed target point response signal of the kth target point, is the reference point signal after complex-valued crosstalk elimination processing of the kth reference point, where k is a positive integer and k ≥ 2; is the corrected transfer function.

[0015] Furthermore, before converting the reference point time-domain signal into a frequency-domain signal through time-domain frequency-domain data conversion, it also includes: Collect the actual target point response signal of the vibration transfer path to be analyzed of the electric vehicle; Compare the reconstructed target point response signal with the actual target point response signal, and output the comparison result, which is used to verify the performance of the OTPA-TCMN model.

[0016] An electric vehicle vibration transfer path analysis system includes: A signal acquisition module for collecting the reference point time-domain signal of the vibration transfer path to be analyzed of the electric vehicle; A data conversion module for converting the reference point time-domain signal through time-domain frequency-domain data conversion to obtain a frequency-domain signal; A complex-valued crosstalk elimination module for inputting the frequency-domain signal into the pre-built OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk elimination processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; among them, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model; A calculation module for calculating the contribution degree of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution degree is used to obtain the electric vehicle vibration transfer path analysis result through analysis.

[0017] A device includes: A memory for storing a computer program; A processor for implementing the steps of the above-mentioned electric vehicle vibration transmission path analysis method when executing the computer program.

[0018] A computer-readable storage medium storing a computer program, which is used to implement the steps of the above-mentioned electric vehicle vibration transmission path analysis method when executed by a processor.

[0019] Compared with the prior art, the present invention has the following beneficial effects: The present invention provides an electric vehicle vibration transmission path analysis method. This method innovatively combines the TCMN (Time Convolutional Mixture Network) model and the OTPA (Operating Condition Transfer Path Analysis) model to construct an OTPA-TCMN model. The OTPA-TCMN model uses TCMN to perform complex-valued crosstalk cancellation processing on frequency-domain signals, effectively correcting the transfer function in OTPA and solving the path coupling and signal crosstalk problems faced by traditional OTPA when dealing with complex mechanical systems. The target point response signal reconstructed through the OTPA-TCMN model can more accurately reflect the actual contribution degree of each vibration transmission path. This derivation process not only improves the analysis accuracy but also retains the advantages of convenient operation and low resource consumption of OTPA. Using this method can efficiently and accurately provide the analysis results of the electric vehicle vibration transmission path, which is of great significance for optimizing the NVH performance of electric vehicles.

[0020] In the present invention, preferably, the Welch method is used to segment the reference point time-domain signal and calculate the corresponding spectral signal, which can obtain more accurate auto-power spectrum and cross-power spectrum, providing a more reliable data basis for subsequent processing. This method is particularly effective when dealing with non-stationary signals and can significantly improve the accuracy of vibration transmission path analysis.

[0021] In the present invention, preferably, the complex-valued crosstalk cancellation processing is performed on the cross-power spectrum in the frequency-domain signal through the pre-constructed OTPA-TCMN model, the transfer function can be corrected, and then the target point response signal is reconstructed based on the processed signal matrix and the corrected transfer function. This process effectively eliminates signal crosstalk and improves the analysis accuracy.

[0022] In the present invention, preferably, data centering and whitening processing, as well as complex-valued ICA and fixed-point iteration operations, can be used to achieve complex-valued crosstalk cancellation of the cross-power spectrum in the frequency-domain signal and obtain the corrected transfer function. This method performs well when dealing with complex signals and can significantly improve the accuracy and robustness of vibration transmission path analysis.

[0023] In the present invention, preferably, by collecting the actual target point response signals of the vibration transfer path to be analyzed of the electric vehicle and comparing the reconstructed target point response signals with the actual target point response signals, the performance of the OTPA-TCMN model can be verified. This process helps to ensure the accuracy and reliability of the model, providing strong support for subsequent analysis and optimization. At the same time, this step also makes the method more complete and practical. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a flowchart of the OTPA and path contribution calculation process provided by an embodiment of the present invention; Figure 2 is a flowchart of the time-domain and frequency-domain data conversion provided by an embodiment of the present invention; Figure 3 is a flowchart of the complex-valued crosstalk cancellation algorithm provided by an embodiment of the present invention; Figure 4 is a flowchart of a method for analyzing the vibration transfer path of an electric vehicle provided by the present invention; Figure 5 is a schematic structural diagram of a system for analyzing the vibration transfer path of an electric vehicle provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] To further understand the content of the present invention, the following describes the present invention in detail with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and not for limiting it.

[0026] The following explains the technical terms related to the present invention: TCMN algorithm: The full name is usually Transcendental Complex - valued Maximization of Non - Gaussianity, that is, the non - Gaussian transcendental complex maximization algorithm.

[0027] OTPA model: refers to "Operational Transfer Path Analysis", that is, the operating condition transfer path analysis model.

[0028] As described in the background art, although the conventional TPA method has been very mature, how to effectively eliminate the signal crosstalk of complex mechanical systems without structural decoupling and obtain accurate analysis results under complex - valued conditions in a simple and economical way is still an unsolved problem.

[0029] To solve the above problems, this embodiment provides a method for analyzing the vibration transfer path of an electric vehicle. This method combines the non-Gaussian hypercomplex maximization theory (TCMN) with the traditional OTPA method to construct an OTPA-TCMN model, which can directly and economically reduce signal crosstalk and improve the analysis accuracy under complex value conditions.

[0030] Exemplarily, this embodiment provides a method for analyzing the vibration transfer path of an electric vehicle, including: Step 1: Construct a standard OTPA analysis process, that is, build a standard OTPA model.

[0031] Specifically, it includes determining the main vibration transfer process, target points, reference points, etc., providing a prerequisite basis for subsequent crosstalk elimination and contribution calculation, etc.

[0032] Step 2: Complete the time-domain to frequency-domain conversion of the collected data; that is, convert the time-domain signals of the reference point and the target point into frequency-domain signals.

[0033] Specifically, use Welch's theory to segment the time-domain data and calculate the corresponding spectral signals. This method can effectively reduce information leakage during the time-frequency data conversion process.

[0034] Step 3: Combine the TCMN theory and the OTPA analysis process to construct an OTPA-TCMN model. Specifically, by introducing high-order non-circular complex information into the fixed-point algorithm, the crosstalk elimination theory is extended from the real number domain to the complex number domain, and the crosstalk elimination effect of the model under non-circular complex conditions is effectively improved.

[0035] Step 4: Calculate the contribution degree of each transfer path and complete the contribution degree ranking.

[0036] Specifically, use the transfer function after crosstalk elimination and the reference point signal to recalculate the target point signal, and obtain the contribution degree of each transfer path to complete the identification of important transfer paths.

[0037] Step 5: Use an actual vehicle to verify the effectiveness of the proposed model.

[0038] Specifically, select the motor controller of a certain electric vehicle as the target point, and collect the vibration acceleration of the subframe mount and the motor mount under the constant-speed driving condition as the reference point signal. Compare the reconstructed target point vibration signal with the actually collected target point signal to complete the verification of the effectiveness of the proposed model.

[0039] The following further explains the control method provided in this embodiment with reference to the accompanying drawings: Exemplarily, this embodiment provides a method for analyzing the vibration transfer path of an electric vehicle, including: As Figure 1 shown, the specific steps of Step 1, building a standard OTPA model are as follows: In this embodiment, the calculation process of OTPA is always completed in the frequency domain, and the specific description is as follows.

[0040] , , Among them, represents the target matrix, represents the response matrix, represents the transfer rate function, represents the response data of the target point under the operating condition , represents the input point under the operating condition , represents the operating condition under which the transfer rate function. Among them, the calculation formula of the transfer rate function is , . Among them, represents the pseudo value of , represents the input auto power spectral density, represents the cross power spectral density between the input and the output.

[0041] As Figure 2 shown, Step 2, time-domain and frequency-domain data conversion of the time-domain signal, the specific processing process is as follows: In the traditional OTPA method, the transfer rate function is obtained through the following formula.

[0042] , , , Among them, represents the transfer function, represents the cross power spectral density function, represents the auto power spectral density function, represents the Fourier transform, represents the inverse Fourier transform. In order to improve the accuracy of time-frequency conversion, we use the Welch method to process the measured signal into segmented signals. The Welch method is described as follows.

[0043] The time-domain signal data is divided into several segments according to the equation.

[0044] , . Among them is the number of segments, is the number of data points per segment, is the number of points of all data, is the overlap rate, generally 50%, and the domain data is expressed by the following formula.

[0045] , . Among them, is the data after Fourier transform, is the Hanning window function, is the normalization coefficient, and the calculation formula of the cross-power spectrum can be expressed as follows, , , . The calculation formulas of the auto-power spectrum and cross-power spectrum after average calculation by the Welch method are , . Among them, is the normalization coefficient, is the signal 's average auto-power spectrum, is the signal and the signal 's cross-power spectrum.

[0046] So far, the frequency-domain conversion of the reference-point time-domain signal is completed to obtain the frequency-domain signal.

[0047] Step 3: Combine the TCMN theory and the OTPA analysis process to construct the OTPA-TCMN model; the specific processing process for eliminating complex-valued crosstalk from the frequency-domain signal according to the constructed OTPA-TCMN model is as follows: As Figure 3 shown, data centering and whitening processing are used to simplify the algorithm, which can be expressed as follows:

[0048] Centering is to remove the mean vector of the data, as shown in the formula:

[0049] Among them, is the matrix after removing centering, is the source signal, is a mixing matrix, is the mathematical expectation: , , This method aims to find an applicable weight matrix to ensure the independence of each source of is the whitening matrix, is the unitary matrix, is the conjugate transpose of the unitary matrix.

[0050] The eigenvalue decomposition of , . Among them, is the eigenvalue decomposition matrix, is the eigenvalue matrix, is the conjugate transpose of the eigenvalue matrix, the whitening matrix and the separation matrix are expressed as follows: , . The complex-valued ICA method essentially maximizes the independence between separated signals by finding a suitable judgment function and extends the crosstalk cancellation method from the real value domain to the complex value domain. Entropy maximization is widely used in the TCMN method, which is described as follows: , , . The cost function of complex-valued ICA is expressed as follows . Among them, is the cost function, is the non-linear function. In the TCMN method, due to information loss in the probability density function, we use a non-linear cost function to describe the probability density function, and its estimation formula is as follows: , . Among them, is the probability density function of the complex-valued vector. The fixed-point iteration of the TCMN method is constructed by the Newton iteration method and can be expressed by the following formula: , , . Among them, is the modulus of the weight matrix, and the estimation formula of the excitation source is: . So far, for the frequency-domain signal, complex-valued crosstalk cancellation processing has been performed to obtain the reference point signal after complex-valued crosstalk cancellation processing, which is presented in matrix form.

[0051] Step 4: Calculate the contribution degree of each transmission path, and the specific processing process of completing the contribution degree sorting is as follows: The contribution calculation module aims to reconstruct the target signal and compare it with the actually measured target signal to verify the proposed model. In addition, the contribution calculation module also provides the contribution of each path to determine the important transmission paths of the system.

[0052] It can be seen that to calculate the contribution degree of the transmission path, first, it is necessary to reconstruct the target point response signal according to the reference point signal matrix after complex-valued crosstalk cancellation processing and the corrected transfer function.

[0053] The reconstruction expression of the target signal is as follows: , , . Among them, is the transfer rate function of the subframe system, is the transfer rate function of the drive motor system, is the response signal of the subframe, is the response signal at the motor end. The contribution of each path can be described by the following formula: , , . In the formula, is the reconstructed target point response signal of the kth target point, is the reference point signal after complex-valued crosstalk cancellation processing of the kth reference point, k is a positive integer, and k ≥ 2; is the corrected transfer function; is the contribution of the th transmission path.

[0054] Step 5: The specific operation of verifying the effectiveness of the proposed model using an actual vehicle is as follows: In this embodiment, a certain urban electric off-road vehicle is selected as the test vehicle, and two accelerometers are installed at the passive end of the subframe bracket to represent the acceleration of the subframe bracket. ; Three accelerometers are installed on the passive part of the drive motor bracket to represent the acceleration of the motor bracket. ; One accelerometer is installed at the bottom of the motor control unit (MCU) to represent the acceleration of the MCU. . The target point is the response signal of the MCU, and the response signals of the subframe mounts and the drive motor mounts are the reference points. In addition, all response signals are collected by a data collector installed on the co-pilot seat. To verify the performance of the proposed model, the driving conditions of the test vehicle are set to high speed, medium speed, and low speed in the constant-speed driving experiment. The high, medium, and low speeds are set to 30 km / h, 50 km / h, and 70 km / h respectively, and the experiment is completed at an automotive test field. After the measured data is preliminarily processed, it can be used for the proposed analysis model. The variance filter is used to remove the singular values of the response data, and the band-stop filter with a cut-off frequency of about 0.05 Hz is used to remove the low-frequency drift. Then the processed data is used for the OTPA-TCMN model (the concentrated frequency is lower than 300 Hz) to analyze the influence of road surface unevenness vibration on the reliability of the vehicle motor.

[0055] It can be seen that this embodiment provides a method for analyzing the vibration transmission path of an electric vehicle, which uses the actual vibration transmission structure of the vehicle and the corresponding vibration acceleration response signal to identify the key transmission path and excitation source. The transmission path analysis model proposed by this method extends the crosstalk cancellation theory to the complex domain by using the TCMN theory. At the same time, in the proposed OTPA-TCMN model, this method further improves the analysis accuracy of the transmission path analysis model under non-circular complex conditions by adding high-order complex entropy information to the crosstalk cancellation theory.

[0056] Exemplarily, as Figure 4 shown, this embodiment provides a method for analyzing the vibration transmission path of an electric vehicle, including the following steps: A method for analyzing the vibration transmission path of an electric vehicle, including: Collect the time-domain signal of the reference point of the vibration transmission path to be analyzed of the electric vehicle; Perform time-domain to frequency-domain data conversion on the reference point time-domain signal to obtain a frequency-domain signal; Input the frequency-domain signal into a pre-constructed OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; wherein, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model; The contribution degree of each vibration transfer path to be analyzed is calculated based on the reconstructed target point response signal; the contribution degree is used to obtain the vibration transfer path analysis result of the electric vehicle through analysis.

[0057] In this embodiment, the time-domain signal of the reference point is converted into time-domain and frequency-domain data to obtain a frequency-domain signal, including: The Welch method is used to segment the time-domain signal of the reference point and calculate the corresponding spectral signal to obtain the auto-power spectrum and the cross-power spectrum.

[0058] In this embodiment, the Welch method is used to segment the time-domain signal of the reference point and calculate the corresponding spectral signal. The specific calculation formula is as follows:

[0059]

[0060] In the formula, represents the auto-power spectrum; represents the cross-power spectrum; represents the signal of the average auto-power spectrum; is the signal and the signal of the cross-power spectrum; L represents the number of segments.

[0061] In this embodiment, the frequency-domain signal is input into the pre-constructed OTPA-TCMN model to reconstruct the target point response signal, including: The pre-constructed OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the cross-power spectrum in the frequency-domain signal to realize the correction of the transfer function of the OTPA-TCMN model; Based on the reference point signal matrix after complex-valued crosstalk cancellation processing and the corrected transfer function, the target point response signal is reconstructed; the reference point signal matrix after complex-valued crosstalk cancellation processing is composed of the auto-power spectrum and the cross-power spectrum after complex-valued crosstalk cancellation processing.

[0062] In this embodiment, the pre-constructed OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the cross-power spectrum in the frequency-domain signal to realize the correction of the transfer function of the OTPA-TCMN model, including: The pre-constructed OTPA-TCMN model is used to perform data centering and whitening processing on the reference point signal matrix corresponding to the frequency-domain signal; Based on the whitened reference point signal matrix, complex-valued ICA and fixed-point iteration operations are performed to realize the complex-valued crosstalk cancellation of the cross-power spectrum in the frequency-domain signal, and the reference point signal matrix after complex-valued crosstalk cancellation processing and the corrected transfer function are obtained.

[0063] In this embodiment, the target point response signal is reconstructed based on the reference point signal matrix after complex-valued crosstalk cancellation processing and the corrected transfer function. The specific formula is as follows:

[0064] In the formula, is the reconstructed target point response signal of the k-th target point, is the reference point signal of the k-th reference point after complex-valued crosstalk cancellation processing, where k is a positive integer and k ≥ 2; is the corrected transfer function.

[0065] In this embodiment, before converting the reference point time-domain signal into a frequency-domain signal through time-domain to frequency-domain data conversion, it further includes: Collecting the actual target point response signal of the vibration transfer path to be analyzed of the electric vehicle; Comparing the reconstructed target point response signal with the actual target point response signal and outputting a comparison result, where the comparison result is used to verify the performance of the OTPA-TCMN model.

[0066] As Figure 5 shown, this embodiment also provides an electric vehicle vibration transfer path analysis system, including: a signal acquisition module for collecting the reference point time-domain signal of the vibration transfer path to be analyzed of the electric vehicle; a data conversion module for converting the reference point time-domain signal into a frequency-domain signal through time-domain to frequency-domain data conversion; a complex-valued crosstalk cancellation module for inputting the frequency-domain signal into a pre-constructed OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; wherein, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model; a calculation module for calculating the contribution degree of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution degree is used to obtain the electric vehicle vibration transfer path analysis result through analysis.

[0067] The present invention also provides a device, including: a memory for storing a computer program; a processor for implementing the steps of the electric vehicle vibration transfer path analysis method when executing the computer program.

[0068] When the processor executes the computer program, it implements the steps of the above-mentioned electric vehicle vibration transfer path analysis. For example: collecting the time-domain signal of the reference point of the vibration transfer path to be analyzed of the electric vehicle; performing time-domain to frequency-domain data conversion on the time-domain signal of the reference point to obtain a frequency-domain signal; inputting the frequency-domain signal into a pre-constructed OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; wherein, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model; calculating the contribution degree of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution degree is used to obtain the analysis result of the electric vehicle vibration transfer path analysis through analysis.

[0069] Alternatively, when the processor executes the computer program, it implements the functions of each module in the above-mentioned system. For example: a signal acquisition module, which is used to collect the time-domain signal of the reference point of the vibration transfer path to be analyzed of the electric vehicle; a data conversion module, which is used to perform time-domain to frequency-domain data conversion on the time-domain signal of the reference point to obtain a frequency-domain signal; a complex-valued crosstalk cancellation module, which is used to input the frequency-domain signal into a pre-constructed OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk cancellation processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; wherein, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model; a calculation module, which is used to calculate the contribution degree of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution degree is used to obtain the analysis result of the electric vehicle vibration transfer path analysis through analysis.

[0070] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of completing preset functions, and the instruction segments are used to describe the execution process of the computer program in the electric vehicle vibration transfer path analysis device. For example, the computer program may be divided into a signal acquisition module for acquiring the time-domain signal of the reference point of the vibration transfer path to be analyzed of the electric vehicle; a data conversion module for performing time-domain to frequency-domain data conversion on the reference point time-domain signal to obtain a frequency-domain signal; a complex crosstalk cancellation module for inputting the frequency-domain signal into a pre-constructed OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used for performing complex crosstalk cancellation processing on the frequency-domain signal to correct the transfer function of the OTPA-TCMN model; wherein, the OTPA-TCMN model is obtained by combining the TCMN algorithm and the OTPA model; a calculation module for calculating the contribution degree of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution degree is used to obtain the analysis result of the electric vehicle vibration transfer path analysis through analysis.

[0071] The electric vehicle vibration transfer path analysis device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The electric vehicle vibration transfer path analysis device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above are examples of the electric vehicle vibration transfer path analysis device, which do not constitute a limitation on the electric vehicle vibration transfer path analysis device, and may include more components than the above, or combine some components, or different components. For example, the electric vehicle vibration transfer path analysis device may further include input / output devices, network access devices, a bus, etc.

[0072] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor, etc. The processor is the control center of the electric vehicle vibration transfer path analysis, and connects various parts of the entire electric vehicle vibration transfer path analysis device through various interfaces and circuits.

[0073] The memory can be used to store the computer programs and / or modules. The processor realizes various functions of the electric vehicle vibration transfer path analysis device by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory.

[0074] The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0075] The present invention also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the electric vehicle vibration transfer path analysis method described above are realized.

[0076] If the modules / units integrated in the electric vehicle vibration transfer path analysis system are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0077] Based on such understanding, all or part of the processes in the above-mentioned electric vehicle vibration transmission path analysis method of the present invention can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned electric vehicle vibration transmission path analysis method can be realized. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or preset intermediate form, etc.

[0078] The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0079] It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice within the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0080] The present invention provides an electric vehicle vibration transmission path analysis method, which has the following advantages: First, the present invention extends the crosstalk cancellation method to the complex value domain for the first time, opening up a new solution idea for the signal processing problem of the electric vehicle vibration transmission path.

[0081] Second, the present invention extremely innovatively introduces the advanced complex non-Gaussian maximization (CMN) method into the classic operating condition transfer path analysis (OTPA) system for the first time. Through the organic integration of the two, the accurate crosstalk cancellation efficiency in the complex value domain signal is greatly improved, injecting new impetus into complex signal processing.

[0082] Third, the present invention constructs an OTPA-TCMN model based on the actual driving state of the vehicle, which is of great significance for identifying important excitation sources and realizing vehicle structure optimization.

[0083] The above embodiments are only one of the implementation manners capable of realizing the technical solution of the present invention. The scope of protection required by the present invention is not only limited by this embodiment, but also includes any changes, substitutions and other implementation manners that are easily conceivable by those skilled in the art within the technical scope disclosed by the present invention.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: it is still possible to modify the specific implementation manners of the present invention or make equivalent replacements, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for analyzing vibration transfer path of electric vehicles, characterized in that: include: Collect the time domain signal of the reference point of the vibration transmission path to be analyzed in the electric vehicle; Convert the reference point time domain signal into a frequency domain signal; The frequency domain signal is input into the pre-built OTPA-TCMN model to reconstruct the target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk elimination processing on the frequency domain signal to correct the transfer function of the OTPA-TCMN model; wherein the OTPA-TCMN model is obtained based on the combination of the TCMN algorithm and the OTPA model; The contribution of each vibration transfer path to be analyzed is calculated based on the reconstructed target point response signal; the contribution is used to obtain the analysis result of the vibration transfer path of the electric vehicle through analysis.

2. The electric vehicle vibration transfer path analysis method according to claim 1, characterized in that: The step of converting the reference point time domain signal into a time domain frequency domain data to obtain a frequency domain signal includes: The Welch method is used to segment the reference point time domain signal and calculate the corresponding spectrum signal to obtain the autopower spectrum and cross-power spectrum.

3. The electric vehicle vibration transfer path analysis method according to claim 2, characterized in that: The Welch method is used to segment the reference point time domain signal and calculate the corresponding spectrum signal. The specific calculation formula is as follows: In the formula, represents the autopower spectrum; represents the cross power spectrum; Indicates signal The average autopower spectrum of It's a signal and signal The cross power spectrum of ; L represents the number of segments.

4. The electric vehicle vibration transfer path analysis method according to claim 2, characterized in that: The frequency domain signal is input into the pre-built OTPA-TCMN model to reconstruct the target point response signal, including: The pre-built OTPA-TCMN model is used to perform complex-valued crosstalk elimination on the cross power spectrum in the frequency domain signal to modify the transfer function of the OTPA-TCMN model. The target point response signal is reconstructed based on the reference point signal matrix after complex-valued crosstalk elimination processing and the modified transfer function; the reference point signal matrix after complex-valued crosstalk elimination processing is obtained by combining the autopower spectrum and the cross-power spectrum after complex-valued crosstalk elimination processing.

5. The electric vehicle vibration transfer path analysis method according to claim 4, characterized in that: The method of using the pre-built OTPA-TCMN model to perform complex-valued crosstalk elimination processing on the cross power spectrum in the frequency domain signal to achieve the correction of the transfer function of the OTPA-TCMN model includes: The pre-built OTPA-TCMN model is used to perform data centering and whitening on the reference point signal matrix corresponding to the frequency domain signal. Based on the reference point signal matrix after whitening processing, complex-valued ICA and fixed point iteration operations are performed to achieve complex-valued crosstalk elimination of the cross-power spectrum in the frequency domain signal, and the reference point signal matrix after complex-valued crosstalk elimination processing and the corrected transfer function are obtained.

6. The electric vehicle vibration transfer path analysis method according to claim 4, characterized in that: The target point response signal is reconstructed based on the reference point signal matrix after the complex-valued crosstalk elimination processing and the modified transfer function. The specific formula is as follows: In the formula, is the reconstructed target point response signal of the kth target point, is the reference point signal after the complex-valued crosstalk cancellation processing of the k-th reference point, k is a positive integer, and k ≥ 2; is the modified transfer function.

7. The electric vehicle vibration transfer path analysis method according to claim 4, characterized in that: Before converting the reference point time domain signal into time domain frequency domain data to obtain the frequency domain signal, the following steps are also included: Collect the actual target point response signal of the vibration transmission path to be analyzed in the electric vehicle; The reconstructed target point response signal is compared with the actual target point response signal, and a comparison result is output, and the comparison result is used to verify the performance of the OTPA-TCMN model.

8. An electric vehicle vibration transfer path analysis system, characterized in that: include: A signal acquisition module, used to acquire the time domain signal of the reference point of the vibration transmission path to be analyzed of the electric vehicle; A data conversion module is used to convert the reference point time domain signal into time domain and frequency domain data to obtain a frequency domain signal; A complex-valued crosstalk elimination module is used to input the frequency domain signal into a pre-built OTPA-TCMN model to reconstruct a target point response signal; the OTPA-TCMN model is used to perform complex-valued crosstalk elimination processing on the frequency domain signal to correct the transfer function of the OTPA-TCMN model; wherein the OTPA-TCMN model is obtained based on the combination of the TCMN algorithm and the OTPA model; The calculation module is used to calculate the contribution of each vibration transfer path to be analyzed based on the reconstructed target point response signal; the contribution is used to obtain the analysis result of the vibration transfer path of the electric vehicle through analysis.

9. A device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the electric vehicle vibration transfer path analysis method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it is used to implement the steps of the electric vehicle vibration transfer path analysis method according to any one of claims 1 to 7.

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