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CN-122024689-A - Multi-mode noise reduction and sound control method and device for vehicle

CN122024689ACN 122024689 ACN122024689 ACN 122024689ACN-122024689-A

Abstract

The application relates to a vehicle multi-mode noise reduction and sound control method and device, wherein the method comprises the steps of constructing a multi-dimensional environment sensing matrix by obtaining speed information of a current vehicle and environment light intensity information and weather state of the environment where the current vehicle is located, inquiring a noise control strategy mapping table, determining corresponding noise suppression weights, generating corresponding active noise reduction filter parameters and corresponding sound compensation parameters according to the noise suppression weights, controlling a loudspeaker to execute preset partition noise cancellation operation and microphone error calibration operation, judging whether the current vehicle plays music, determining a target frequency band overlapping signal between the music and a noise main frequency if the current vehicle plays the music, compressing the target frequency band overlapping signal by using a preset frequency band avoidance algorithm, and otherwise executing preset full-frequency band noise reduction operation on the current vehicle. Therefore, the problems of poor environmental adaptability, single noise suppression type, insufficient system cooperativity and the like of the existing vehicle noise reduction technology are solved.

Inventors

  • MO FEI
  • TAN DEWEN

Assignees

  • 奇瑞智能汽车科技(合肥)有限公司

Dates

Publication Date
20260512
Application Date
20260224

Claims (10)

  1. 1. The multi-mode noise reduction and sound control method for the vehicle is characterized by comprising the following steps of: acquiring speed information of a current vehicle and environment light intensity information and weather state of the environment where the current vehicle is positioned, so as to construct a corresponding multidimensional environment perception matrix according to the speed information, the environment light intensity information and the weather state; Inquiring a preset noise control strategy mapping table based on the multi-dimensional environment sensing matrix to determine a noise suppression weight corresponding to the multi-dimensional environment sensing matrix, generating corresponding active noise reduction filter parameters and acoustic compensation parameters according to the noise suppression weight, and controlling a loudspeaker to execute preset partition noise cancellation operation and microphone error calibration operation through the active noise reduction filter parameters and the acoustic compensation parameters; Judging whether the current vehicle plays music, if so, determining a target frequency band overlapping signal between the music and the noise main frequency, and compressing the target frequency band overlapping signal by using a preset frequency band avoidance algorithm, otherwise, executing a preset full-frequency band noise reduction operation on the current vehicle.
  2. 2. The method according to claim 1, wherein the obtaining the speed information of the current vehicle and the environmental light intensity information and the weather state of the environment in which the current vehicle is located to construct the corresponding multidimensional environmental perception matrix according to the speed information, the environmental light intensity information and the weather state includes: The method comprises the steps of reading wheel speed data of a preset wheel speed sensor through a CAN bus of the current vehicle, filtering the wheel speed data to obtain speed information of the current vehicle, and obtaining ambient light intensity information by utilizing an ambient light sensor of a preset dynamic range of the current vehicle; the rainfall intensity of the current vehicle environment is detected through a preset rainfall/humidity sensor, wind power grade, visibility data and environment temperature in a preset range are received through C-V2X, so that the weather state is determined according to the rainfall intensity, the wind power grade, the visibility data and the environment temperature, and the multidimensional environment sensing matrix is constructed based on the vehicle speed information, the environment light intensity information and the weather state.
  3. 3. The method according to claim 2, wherein the querying a preset noise control strategy mapping table based on the multi-dimensional environment sensing matrix to determine a noise suppression weight corresponding to the multi-dimensional environment sensing matrix, generating a corresponding active noise reduction filter parameter and an acoustic compensation parameter according to the noise suppression weight, and controlling a speaker to perform a preset partition noise cancellation operation and a microphone error calibration operation through the active noise reduction filter parameter and the acoustic compensation parameter comprises: Judging whether the vehicle speed information in the multi-dimensional environment sensing matrix is greater than or equal to a first preset speed threshold value and whether the wind power level is greater than or equal to a preset wind power level threshold value, wherein the noise control strategy mapping table is queried to determine a corresponding wind noise suppression weight and a corresponding tire noise suppression weight under the condition that the vehicle speed information is greater than or equal to the first preset speed threshold value and the wind power level is greater than or equal to the preset wind power level threshold value; Judging whether the vehicle speed information in the multidimensional environment sensing matrix is smaller than a second preset speed threshold and whether the rainfall intensity is larger than a preset rainfall intensity threshold, wherein the noise control strategy mapping table is queried to determine a corresponding wind noise suppression weight and a corresponding tire noise suppression weight under the condition that the vehicle speed information is smaller than the second preset speed threshold and the rainfall intensity is larger than the preset rainfall intensity threshold, and the first preset speed threshold is larger than the second preset speed threshold; Judging whether the ambient illuminance in the multi-dimensional environment sensing matrix is greater than a preset illuminance threshold and whether the ambient temperature is greater than a preset temperature threshold, wherein corresponding noise suppression weights are not required to be distributed and the expansion of the sealing strip is controlled to be preset under the condition that the ambient illuminance is greater than the preset illuminance threshold and the ambient temperature is greater than the preset temperature threshold; Based on the wind noise suppression weight and the tire noise suppression weight, generating corresponding active noise reduction filter parameters and acoustic compensation parameters, driving preset speakers according to the active noise reduction filter parameters and the acoustic compensation parameters in a partitioning mode, generating corresponding opposite-phase sound waves, adjusting corresponding speaker gains through the opposite-phase sound waves, performing wind noise suppression, performing microphone error calibration, or activating a preset notch filter to perform tire noise suppression.
  4. 4. The method of claim 3, wherein after determining whether the current vehicle plays music, if so, determining a target frequency band overlapping signal between the music and a noise dominant frequency, and compressing the target frequency band overlapping signal using a preset frequency band avoidance algorithm, otherwise, performing a preset full frequency band noise reduction operation on the current vehicle, further comprising: Performing preset sound pressure level detection operation on the microphone after the target frequency band overlapping signal is compressed or after the full frequency band noise reduction operation so as to generate a corresponding sound pressure level detection result; And optimizing the noise suppression weight based on the sound pressure level detection result, generating a new active noise reduction filter parameter and a new sound compensation parameter by utilizing the optimized noise suppression weight, and controlling a loudspeaker to execute preset partition noise cancellation operation and microphone error calibration operation again through the new active noise reduction filter parameter and the new sound compensation parameter.
  5. 5. A vehicle multi-mode noise reduction and sound control device, comprising: The construction module is used for acquiring the speed information of the current vehicle and the environment light intensity information and weather state of the environment where the current vehicle is positioned so as to construct a corresponding multidimensional environment perception matrix according to the speed information, the environment light intensity information and the weather state; The execution module is used for inquiring a preset noise control strategy mapping table based on the multi-dimensional environment sensing matrix to determine noise suppression weights corresponding to the multi-dimensional environment sensing matrix, generating corresponding active noise reduction filter parameters and corresponding acoustic compensation parameters according to the noise suppression weights, and controlling a loudspeaker to execute preset partition noise cancellation operation and microphone error calibration operation through the active noise reduction filter parameters and the acoustic compensation parameters; The noise reduction module is used for judging whether the current vehicle plays music, if so, determining a target frequency band overlapping signal between the music and the noise main frequency, compressing the target frequency band overlapping signal by using a preset frequency band avoidance algorithm, and if not, executing a preset full-frequency band noise reduction operation on the current vehicle.
  6. 6. The apparatus of claim 5, wherein the build module comprises: the reading unit is used for reading the wheel speed data of a preset wheel speed sensor through the CAN bus of the current vehicle, filtering the wheel speed data to obtain the speed information of the current vehicle, and obtaining the ambient light intensity information by utilizing the ambient illuminance of the current vehicle through a preset dynamic range light sensor; The determining unit is used for detecting rainfall intensity of the current vehicle environment through a preset rainfall/humidity sensor, receiving wind power level, visibility data and environment temperature in a preset range through C-V2X, determining the weather state according to the rainfall intensity, the wind power level, the visibility data and the environment temperature, and constructing the multidimensional environment sensing matrix based on the vehicle speed information, the environment light intensity information and the weather state.
  7. 7. The apparatus of claim 6, wherein the execution module comprises: A first judging unit, configured to judge whether the vehicle speed information in the multidimensional environment sensing matrix is greater than or equal to a first preset speed threshold and whether the wind power level is greater than or equal to a preset wind power level threshold, where, when the vehicle speed information is greater than or equal to the first preset speed threshold and the wind power level is greater than or equal to the preset wind power level threshold, the noise control policy mapping table is queried to determine a corresponding wind noise suppression weight and a tire noise suppression weight; A second judging unit, configured to judge whether the vehicle speed information in the multidimensional environment sensing matrix is smaller than a second preset speed threshold and whether the rainfall intensity is greater than a preset rainfall intensity threshold, where, when the vehicle speed information is smaller than the second preset speed threshold and the rainfall intensity is greater than the preset rainfall intensity threshold, the noise control policy mapping table is queried to determine a corresponding wind noise suppression weight and a corresponding tire noise suppression weight, where the first preset speed threshold is greater than the second preset speed threshold; A third judging unit, configured to judge whether the ambient illuminance in the multidimensional environmental perception matrix is greater than a preset illuminance threshold and whether the ambient temperature is greater than a preset temperature threshold, where, when the ambient illuminance is greater than the preset illuminance threshold and the ambient temperature is greater than the preset temperature threshold, it is unnecessary to allocate a corresponding noise suppression weight, and control the expansion of the sealing strip to a preset size; And the suppression unit is used for generating the corresponding active noise reduction filter parameters and the corresponding acoustic compensation parameters based on the wind noise suppression weights and the tire noise suppression weights, driving preset speakers in a partitioning mode according to the active noise reduction filter parameters and the acoustic compensation parameters, generating corresponding opposite-phase sound waves, adjusting the corresponding speaker gains through the opposite-phase sound waves, performing wind noise suppression, performing microphone error calibration, or activating a preset notch filter to perform tire noise suppression.
  8. 8. A vehicle comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the vehicle multi-modal noise reduction and acoustic control method of any one of claims 1-4.
  9. 9. A computer-readable storage medium having stored thereon a computer program, characterized in that the program is executed by a processor for realizing the vehicle multi-modal noise reduction and sound control method according to any one of claims 1-4.
  10. 10. A computer program product comprising a computer program, characterized in that the computer program is executed for implementing a vehicle multi-modal noise reduction and sound control method according to any one of claims 1-4.

Description

Multi-mode noise reduction and sound control method and device for vehicle Technical Field The application relates to the technical field of vehicle noise reduction, in particular to a method and a device for multi-mode noise reduction and sound control of a vehicle. Background The current noise reduction of vehicles is mainly focused on the hardware noise reduction level. Some prior art can pass through vibration-damping rubber, sound-insulating pad and inhale the cotton three-layer combination of sound-absorbing and remembering operation of making an uproar, but this operation needs to be under construction to chassis, round arc, position customization such as door, and is with high costs and rely on technician's experience, and whole car sound insulation material weight gain reaches 30-50kg, directly conflicts with new energy car lightweight demand, for hundred thousand grades of cars, and its income of making an uproar is limited from the cost perspective. In addition, the prior art can also utilize ANC to counteract noise through sound waves, but the technical means still has certain defects on the ground, such as insufficient coverage of noise types, multi-mode perception loss, contradiction between calculation force and delay and the like. In summary, the existing vehicle noise reduction technology has poor environmental adaptability, single noise suppression type and insufficient system cooperativity, so that the running noise of a low-price vehicle is difficult to be effectively relieved, and the problem is to be solved. Disclosure of Invention The application provides a vehicle multi-mode noise reduction and sound control method and device, which are used for solving the problems of poor environmental adaptability, single noise suppression type, insufficient system cooperativity and the like of the existing vehicle noise reduction technology. An embodiment of a first aspect of the application provides a vehicle multi-mode noise reduction and sound control method, which comprises the steps of obtaining speed information of a current vehicle and environment light intensity information and weather state of an environment where the current vehicle is located, constructing a corresponding multi-dimensional environment sensing matrix according to the speed information, the environment light intensity information and the weather state, inquiring a preset noise control strategy mapping table based on the multi-dimensional environment sensing matrix to determine noise suppression weights corresponding to the multi-dimensional environment sensing matrix, generating corresponding active noise reduction filter parameters and sound compensation parameters according to the noise suppression weights, controlling a loudspeaker to execute preset partition noise cancellation operation and microphone error calibration operation through the active noise reduction filter parameters and the sound compensation parameters, judging whether the current vehicle plays music, if so, determining a target frequency band overlapping signal between the music and a noise main frequency, and compressing the target frequency band overlapping signal by using a preset frequency band avoidance algorithm, otherwise, executing preset full-frequency band noise reduction operation on the current vehicle. Optionally, in one embodiment of the present application, the acquiring the speed information of the current vehicle and the environmental light intensity information and the weather state of the environment where the current vehicle is located, so as to construct a corresponding multidimensional environment sensing matrix according to the speed information, the environmental light intensity information and the weather state, includes reading the wheel speed data of a preset wheel speed sensor through a CAN bus of the current vehicle, filtering the wheel speed data to obtain the speed information of the current vehicle, and using a preset dynamic range light sensor to obtain the environmental light intensity information of the current vehicle, detecting the rainfall intensity of the environment where the current vehicle is located through a preset rainfall/humidity sensor, and receiving the wind level, the visibility data and the environmental temperature within a preset range through C-V2X, so as to determine the weather state according to the rainfall intensity, the wind level, the visibility data and the environmental temperature, and constructing the multidimensional environment sensing matrix based on the speed information, the environmental light intensity information and the weather state. Optionally, in one embodiment of the present application, the querying a preset noise control policy mapping table based on the multi-dimensional environment sensing matrix to determine a noise suppression weight corresponding to the multi-dimensional environment sensing matrix, and generating a corresponding active noise reduction filter paramete