A sound effect control and automobile sound wave simulation method based on sound wave simulation

Abstract

The present invention relates to the technical field of automobile sound simulation, and discloses a sound effect control and automobile sound simulation method based on sound simulation, including signal analysis and synthesis, sound location and distribution, audio signal output and optimization, and the automobile sound simulation method includes sound simulation based on the working mode of the vehicle hybrid system, based on the speed of the driving motor and the opening of the accelerator pedal, based on the gearshift operation of the gearbox, and based on the vehicle speed signal. The sound effect control and automobile sound simulation method based on sound simulation, the sound effect control and automobile sound simulation technology usually support personalized customization, and users can choose different sound effects or sound modes according to their preferences and needs to improve the user experience. For automobile sound simulation, the technology can achieve the change of sound effect without physical modification of the car, reducing the modification cost, and also avoiding the vehicle performance degradation or safety hazards caused by modification.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile sound wave simulation, in particular to a sound effect control and automobile sound wave simulation method based on sound wave simulation. Background Art

[0002] With the continuous development of audio technology, sound wave simulation technology, as an important sound effect control technology, has been widely used in various audio processing fields. This technology enhances the immersion and realism of audio signals by simulating the sound wave characteristics in the real environment, such as sound propagation, reflection, attenuation, etc. In terms of sound effect control, sound wave simulation technology can achieve fine adjustment and optimization of audio signals. For example, in theaters, concert halls and other places, sound wave simulation technology can simulate more realistic sound effects, allowing the audience to experience the three-dimensional and spatial sense of sound. In addition, in audio post-production, sound wave simulation technology is also used to repair, enhance and mix audio signals to improve audio quality; In the development process of automobile sound simulation technology, various algorithms and models have been continuously proposed and optimized. Sound synthesis is performed through statistical parameters, waveform splicing, etc., and electronic control equipment is used to detect the vehicle's motion state in real time and synthesize the sound corresponding to the vehicle state. The development of these technologies has made the automobile sound simulation effect more and more realistic and more able to meet the needs of drivers. The existing sound simulation technology has shortcomings in terms of technical implementation difficulty, limited realism, possible impact on comfort and cost issues, etc. This application now proposes a sound effect control and automobile sound simulation method based on sound simulation. Summary of the invention

[0003] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a sound effect control and automobile sound wave simulation method based on sound wave simulation, which has the advantages of being able to simulate sound effects in various real environments by using sound wave simulation technology, bringing driving passion similar to that of traditional fuel vehicles to drivers of new energy vehicles, and can achieve changes in sound wave effects without physical modification of the vehicle, thereby reducing the cost of modification, and solving the problems of difficulty in implementation of existing sound wave simulation technology, limited realism, possible impact on comfort and high cost.

[0004] (II) Technical solution

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a sound effect control and automobile sound wave simulation method based on sound wave simulation, including signal analysis and synthesis, sound wave positioning and distribution, audio signal output and optimization, the automobile sound wave simulation method includes sound wave simulation based on the working mode of the vehicle hybrid system, based on the speed of the drive motor and the opening of the accelerator pedal, based on the gearshift operation of the gearbox, and based on the vehicle speed signal The specific steps include: S1, collecting information on vehicle engine speed, accelerator pedal opening, gearbox position, and vehicle speed; S2, analyzing the collected signals to extract key information related to sound effect control; S3, synthesizing and processing the audio signal according to the collected information, thereby generating a sound effect signal that meets the requirements; S4, establishing sound effect positioning and a corresponding sound system in the vehicle, and outputting the processed sound effect signal to the sound system in the vehicle; S5. When conducting sound wave simulation, first determine the simulation target; S6, then collecting vehicle parameters and establishing a sound wave model using the collected vehicle parameters; S7, synthesizing the sound wave signal and outputting the synthesized sound wave signal to the sound system in the car.

[0006] Preferably, the signal analysis and synthesis: analyze the vehicle CAN signal and receive the vehicle control signal to obtain the vehicle's operating status information, including engine speed, accelerator pedal opening, and gearbox gear position, and synthesize the active sound audio signal based on the above information as the basis for sound effect control.

[0007] Preferably, the sound wave positioning and distribution: speakers are arranged in the car, and a plane polar coordinate system is established, and the polar coordinates of the sound waves in the plane polar coordinate system are calculated according to the navigation direction of the vehicle and the intersection distance information, so as to determine the position distribution of the sound waves in the car.

[0008] Preferably, the audio signal output and optimization: according to the sound wave localization result, the sound wave audio signal finally output by each speaker channel is determined, and the audio signal is optimized.

[0009] Preferably, the car sound simulation method includes based on the working mode of the vehicle hybrid system, based on the speed of the drive motor and the opening of the accelerator pedal, based on the shifting operation of the transmission, and based on the vehicle speed signal.

[0010] Preferably, the information collection in step S2 is performed by using a sound intensity localization algorithm to determine the position distribution of the sound waves in the vehicle, as follows: I = p² / (ρ0c); Among them: p represents the sound pressure, ρ0 represents the medium density (such as air density), c represents the speed of sound, and I represents the sound intensity; The steps of the sound intensity localization algorithm are as follows: Data collection: Use multiple microphones to simultaneously collect sound intensity information in the sound field; Data preprocessing: preprocess the collected sound intensity data, including filtering and denoising, to improve the accuracy and reliability of the data; Feature extraction: Extract feature information related to the location of the sound source from the preprocessed data, such as the directionality and intensity of the sound intensity; Sound source position calculation: The position of the sound source is calculated using the extracted feature information and mathematical algorithms.

[0011] Preferably, in step S3, an audio optimization algorithm is used to optimize the quality of the audio signal when synthesizing the sound effect to improve the sound effect. The specific steps are as follows: Step 1: Use filtering technology to remove background noise from the audio and adjust the amplitude of the audio signal to meet specific standards; Step 2: Convert the audio signal into a spectrum representation in order to analyze the frequency components and extract characteristic parameters related to the audio quality; Step 3: Apply high-pass, low-pass, and band-pass filters to adjust the frequency components of the audio signal, and use an equalizer to adjust the volume of different frequency bands to improve the timbre and balance of the audio and process the dynamic range of the audio signal; Step 4: Merge multiple audio tracks into one, adjust the volume, pan, and effects to achieve harmony and unity, and further optimize and adjust the mixed audio.

[0012] Preferably, the transfer formula of the high-pass filtering and the low-pass filtering is as follows: High-pass filter: H(z) = (1 - a z - ¹) / (1 - b·z - ¹); Low-pass filtering: H(z) = (a + b·z - ¹) / (1 + a·z - ¹ + b·z - ²) Where a and b are the coefficients of the filter, and z is a point on the unit circle in the complex plane, representing the frequency response; The frequency response curve of the equalizer can be expressed as the relationship between gain (G) and frequency (f): G(f) = G0 + G1(f - f0) + G2(f - f0)² + ...; Among them, G0 is the reference gain, G1, G2, etc. are gain coefficients, and f0 is the center frequency; The output signal of the compressor can be expressed as a function of the input signal and the compression characteristic: y(t) = x(t) / (1 + R·xt / T)^n; Where yt is the output signal, xt is the input signal, R is the compression ratio, T is the threshold, and n is the slope of the compression curve.

[0013] Compared with the prior art, the present invention provides a sound effect control and automobile sound wave simulation method based on sound wave simulation, which has the following beneficial effects: 1. The sound effect control and automobile sound wave simulation method based on sound wave simulation. For sound effect control, the sound wave simulation technology can simulate the sound effects in various real environments. In some cases, the sound wave simulation technology can also provide additional sound prompts to help drivers stay alert at night or in low visibility environments and improve their perception of the surrounding environment.

[0014] 2. The sound effect control and car sound wave simulation method based on sound wave simulation, the sound effect control and car sound wave simulation technology usually support personalized customization, users can choose different sound effects or sound wave modes according to their preferences and needs to improve the user experience. For car sound wave simulation, this technology does not require physical modification of the car to achieve changes in sound wave effects, which reduces the modification cost and avoids vehicle performance degradation or safety hazards caused by modification. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 The figure is a flow chart of the sound effect control and automobile sound simulation method of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] A sound effect control and car sound simulation method based on sound wave simulation, including signal analysis and synthesis, sound wave positioning and distribution, audio signal output and optimization. The car sound wave simulation method includes sound wave simulation based on the working mode of the vehicle hybrid system, the speed of the driving motor and the opening of the accelerator pedal, the gear shifting operation of the gearbox, and the vehicle speed signal. The specific steps include: S1, collecting information on vehicle engine speed, accelerator pedal opening, gearbox position, and vehicle speed; S2, analyzing the collected signals to extract key information related to sound effect control; S3, synthesizing and processing the audio signal according to the collected information, thereby generating a sound effect signal that meets the requirements; S4, establishing sound effect positioning and a corresponding sound system in the vehicle, and outputting the processed sound effect signal to the sound system in the vehicle; S5. When conducting sound wave simulation, first determine the simulation target; S6, then collecting vehicle parameters and establishing a sound wave model using the collected vehicle parameters; S7, synthesizing the sound wave signal and outputting the synthesized sound wave signal to the sound system in the car.

[0018] Furthermore, the signal analysis and synthesis: analyze the vehicle CAN signal and receive the vehicle control signal to obtain the vehicle's operating status information, including engine speed, accelerator pedal opening, and transmission gear position. Based on the above information, synthesize the active sound audio signal as the basis for sound effect control.

[0019] Furthermore, the sound wave positioning and distribution: speakers are arranged in the car, and a plane polar coordinate system is established. According to the navigation direction of the vehicle and the distance information of the intersection, the polar coordinates of the sound waves in the plane polar coordinate system are calculated to determine the position distribution of the sound waves in the car.

[0020] Furthermore, the audio signal output and optimization: according to the sound wave localization result, the sound wave audio signal finally output by each speaker channel is determined, and the audio signal is optimized.

[0021] Furthermore, the car sound simulation method includes the following steps: based on the working mode of the vehicle hybrid system, based on the speed of the drive motor and the opening of the accelerator pedal, based on the gear shifting operation of the transmission, and based on the vehicle speed signal.

[0022] Furthermore, the information collection in step S2 is performed by using a sound intensity localization algorithm to determine the position distribution of the sound waves in the vehicle, as follows: I = p² / (ρ0c); Among them: p represents the sound pressure, ρ0 represents the medium density (such as air density), c represents the speed of sound, and I represents the sound intensity; The steps of the sound intensity localization algorithm are as follows: Data collection: Use multiple microphones to simultaneously collect sound intensity information in the sound field; Data preprocessing: preprocess the collected sound intensity data, including filtering and denoising, to improve the accuracy and reliability of the data; Feature extraction: Extract feature information related to the location of the sound source from the preprocessed data, such as the directionality and intensity of the sound intensity; Sound source position calculation: The position of the sound source is calculated using the extracted feature information and mathematical algorithms.

[0023] Furthermore, in step S3, an audio optimization algorithm is used to optimize the quality of the audio signal during the sound effect synthesis to improve the sound effect. The specific steps are as follows: Step 1: Use filtering technology to remove background noise from the audio and adjust the amplitude of the audio signal to meet specific standards; Step 2: Convert the audio signal into a spectrum representation in order to analyze the frequency components and extract characteristic parameters related to the audio quality; Step 3: Apply high-pass, low-pass, and band-pass filters to adjust the frequency components of the audio signal, and use an equalizer to adjust the volume of different frequency bands to improve the timbre and balance of the audio and process the dynamic range of the audio signal; Step 4: Merge multiple audio tracks into one, adjust the volume, pan, and effects to achieve harmony and unity, and further optimize and adjust the mixed audio.

[0024] Furthermore, the transfer formulas of the high-pass filter and the low-pass filter are as follows: High-pass filter: H(z) = (1 - a z - ¹) / (1 - b·z - ¹); Low-pass filtering: H(z) = (a + b·z - ¹) / (1 + a·z - ¹ + b·z - ²) Where a and b are the coefficients of the filter, and z is a point on the unit circle in the complex plane, representing the frequency response; The frequency response curve of the equalizer can be expressed as the relationship between gain (G) and frequency (f): G(f) = G0 + G1(f - f0) + G2(f - f0)² + ...; Among them, G0 is the reference gain, G1, G2, etc. are gain coefficients, and f0 is the center frequency; The output signal of the compressor can be expressed as a function of the input signal and the compression characteristic: y(t) = x(t) / (1 + R·xt / T)^n; Where y(t) is the output signal, x(t) is the input signal, R is the compression ratio, T is the threshold, and n is the slope of the compression curve. Embodiment 1

[0025] A sound effect control and car sound simulation method based on sound wave simulation, including signal analysis and synthesis, sound wave positioning and distribution, audio signal output and optimization. The car sound wave simulation method includes sound wave simulation based on the working mode of the vehicle hybrid system, the speed of the driving motor and the opening of the accelerator pedal, the gear shifting operation of the gearbox, and the vehicle speed signal. The specific steps include: S1, collecting information on vehicle engine speed, accelerator pedal opening, gearbox position, and vehicle speed; S2, analyzing the collected signals to extract key information related to sound effect control; S3, synthesizing and processing the audio signal according to the collected information, thereby generating a sound effect signal that meets the requirements; S4, establishing sound effect positioning and a corresponding sound system in the vehicle, and outputting the processed sound effect signal to the sound system in the vehicle; S5. When conducting sound wave simulation, first determine the simulation target; S6, then collecting vehicle parameters and establishing a sound wave model using the collected vehicle parameters; S7, synthesizing the sound wave signal and outputting the synthesized sound wave signal to the sound system in the car; This method, sound effect control and car sound wave simulation technology usually support personalized customization. Users can choose different sound effects or sound wave modes according to their preferences and needs to improve the user experience. For car sound wave simulation, this technology can achieve the change of sound wave effect without physical modification of the car, which reduces the modification cost and avoids the vehicle performance degradation or safety hazards caused by modification. Embodiment 2

[0026] According to the sound effect control and automobile sound wave simulation method based on sound wave simulation proposed in the first embodiment, signal analysis and synthesis: analyze the vehicle CAN signal and receive the vehicle control signal to obtain the vehicle's operating status information, including engine speed, accelerator pedal opening, and gearbox gear. According to the above information, synthesize the active sound wave audio signal as the basis of sound effect control. Sound wave positioning and distribution: arrange speakers in the car, and establish a plane polar coordinate system. According to the navigation direction of the vehicle and the distance information from the intersection, calculate the polar coordinates of the sound wave in the plane polar coordinate system to determine the position distribution of the sound wave in the car; Audio signal output and optimization: According to the sound wave positioning results, the sound wave audio signal finally output by each speaker channel is determined, and the audio signal is optimized. The car sound wave simulation method includes the working mode based on the vehicle hybrid system, the speed of the drive motor and the opening of the accelerator pedal, the gear shifting operation based on the gearbox, and the vehicle speed signal. Embodiment 3

[0027] According to the sound effect control and automobile sound wave simulation method based on sound wave simulation proposed in the first embodiment, information collection is performed by using a sound intensity localization algorithm to determine the position distribution of the sound wave in the car, as follows: I = p² / (ρ0c); Among them: p represents the sound pressure, ρ0 represents the medium density (such as air density), c represents the speed of sound, and I represents the sound intensity; The steps of the sound intensity localization algorithm are as follows: Data collection: Use multiple microphones to simultaneously collect sound intensity information in the sound field; Data preprocessing: preprocess the collected sound intensity data, including filtering and denoising, to improve the accuracy and reliability of the data; Feature extraction: Extract feature information related to the location of the sound source from the preprocessed data, such as the directionality and intensity of the sound intensity; Sound source position calculation: The position of the sound source is calculated using the extracted feature information and mathematical algorithms. Embodiment 4

[0028] According to the sound effect control and car sound wave simulation method based on sound wave simulation proposed in the first embodiment, an audio optimization algorithm is used to optimize the quality of the audio signal during sound effect synthesis to improve the sound effect. The specific steps are as follows: Step 1: Use filtering technology to remove background noise from the audio and adjust the amplitude of the audio signal to meet specific standards; Step 2: Convert the audio signal into a spectrum representation in order to analyze the frequency components and extract characteristic parameters related to the audio quality; Step 3: Apply high-pass, low-pass, and band-pass filters to adjust the frequency components of the audio signal, and use an equalizer to adjust the volume of different frequency bands to improve the timbre and balance of the audio and process the dynamic range of the audio signal; Step 4: Merge multiple audio tracks into one, adjust the volume, pan, and effects to achieve harmony and unity, and further optimize and adjust the mixed audio.

[0029] Furthermore, the transfer formulas of the high-pass filter and the low-pass filter are as follows: High-pass filter: H(z) = (1 - a z - ¹) / (1 - b·z - ¹); Low-pass filtering: H(z) = (a + b·z - ¹) / (1 + a·z - ¹ + b·z - ²) Where a and b are the coefficients of the filter, and z is a point on the unit circle in the complex plane, representing the frequency response; The frequency response curve of the equalizer can be expressed as the relationship between gain (G) and frequency (f): G(f) = G0 + G1(f - f0) + G2(f - f0)² + ...; Among them, G0 is the reference gain, G1, G2, etc. are gain coefficients, and f0 is the center frequency; The output signal of the compressor can be expressed as a function of the input signal and the compression characteristic: y(t) = x(t) / (1 + R·xt / T)^n); Where y(t) is the output signal, x(t) is the input signal, R is the compression ratio, T is the threshold, and n is the slope of the compression curve.

[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A sound effect control and automobile sound wave simulation method based on sound wave simulation, characterized in that: Including signal analysis and synthesis, sound wave positioning and distribution, audio signal output and optimization, the automobile sound wave simulation method includes sound wave simulation based on the working mode of the vehicle hybrid system, the speed of the driving motor and the opening of the accelerator pedal, the shifting operation of the gearbox, and the vehicle speed signal; The specific steps include: S1, collecting information on vehicle engine speed, accelerator pedal opening, gearbox position, and vehicle speed; S2, analyzing the collected signals to extract key information related to sound effect control; S3, synthesizing and processing the audio signal according to the collected information, thereby generating a sound effect signal that meets the requirements; S4, establishing sound effect positioning and a corresponding sound system in the vehicle, and outputting the processed sound effect signal to the sound system in the vehicle; S5. When conducting sound wave simulation, first determine the simulation target; S6, then collecting vehicle parameters and establishing a sound wave model using the collected vehicle parameters; S7, synthesizing the sound wave signal and outputting the synthesized sound wave signal to the sound system in the car.

2. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 1, characterized in that: The signal analysis and synthesis: analyze the vehicle CAN signal and receive the vehicle control signal to obtain the vehicle's operating status information, including engine speed, accelerator pedal opening, and transmission gear position. Based on the above information, synthesize the active sound audio signal as the basis for sound effect control.

3. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 1, characterized in that: The sound wave positioning and distribution: speakers are arranged in the car, and a plane polar coordinate system is established. According to the navigation direction of the vehicle and the distance information of the intersection, the polar coordinates of the sound waves in the plane polar coordinate system are calculated to determine the position distribution of the sound waves in the car.

4. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 1, characterized in that: The audio signal output and optimization: according to the sound wave localization result, the sound wave audio signal finally output by each speaker channel is determined, and the audio signal is optimized.

5. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 1, characterized in that: The automobile sound simulation method includes the following steps: based on the working mode of the vehicle hybrid system, based on the rotation speed of the driving motor and the opening of the accelerator pedal, based on the shifting operation of the transmission, and based on the vehicle speed signal.

6. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 1, characterized in that: The information collection in step S2 is performed by using a sound intensity localization algorithm to determine the position distribution of the sound waves in the vehicle, as follows: I = p² / (ρ0c); Among them: p represents the sound pressure, ρ0 represents the medium density (such as air density), c represents the speed of sound, and I represents the sound intensity; The steps of the sound intensity localization algorithm are as follows: Data collection: Use multiple microphones to simultaneously collect sound intensity information in the sound field; Data preprocessing: preprocess the collected sound intensity data, including filtering and denoising, to improve the accuracy and reliability of the data; Feature extraction: Extract feature information related to the location of the sound source from the preprocessed data, such as the directionality and intensity of the sound intensity; Sound source position calculation: The position of the sound source is calculated using the extracted feature information and mathematical algorithms.

7. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 1, characterized in that: In step S3, an audio optimization algorithm is used to optimize the quality of the audio signal during the sound effect synthesis to improve the sound effect. The specific steps are as follows: Step 1: Use filtering technology to remove background noise from the audio and adjust the amplitude of the audio signal to meet specific standards; Step 2: Convert the audio signal into a spectrum representation in order to analyze the frequency components and extract characteristic parameters related to the audio quality; Step 3: Apply high-pass, low-pass, and band-pass filters to adjust the frequency components of the audio signal, and use an equalizer to adjust the volume of different frequency bands to improve the timbre and balance of the audio and process the dynamic range of the audio signal; Step 4: Merge multiple audio tracks into one, adjust the volume, pan, and effects to achieve harmony and unity, and further optimize and adjust the mixed audio.

8. The method for sound effect control and automobile sound wave simulation based on sound wave simulation according to claim 7, characterized in that: The transfer formulas of the high-pass filter and the low-pass filter are as follows: High-pass filter: H(z) = (1 - a z - ¹) / (1 - b·z - ¹); Low-pass filtering: H(z) = (a + b·z - ¹) / (1 + a·z - ¹ + b·z - ²) Where a and b are the coefficients of the filter, and z is a point on the unit circle in the complex plane, representing the frequency response; The frequency response curve of the equalizer can be expressed as the relationship between gain (G) and frequency (f): G(f) = G0 + G1(f - f0) + G2(f - f0)² + ...; Among them, G0 is the reference gain, G1, G2, etc. are gain coefficients, and f0 is the center frequency; The output signal of the compressor can be expressed as a function of the input signal and the compression characteristic: y(t) = x(t) / (1 + R·xt) / T^n; Where y(t) is the output signal, x(t) is the input signal, R is the compression ratio, T is the threshold, and n is the slope of the compression curve.

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