CN114103841A - Control method, vehicle, and storage medium - Google Patents
Control method, vehicle, and storage medium Download PDFInfo
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- CN114103841A CN114103841A CN202111357980.7A CN202111357980A CN114103841A CN 114103841 A CN114103841 A CN 114103841A CN 202111357980 A CN202111357980 A CN 202111357980A CN 114103841 A CN114103841 A CN 114103841A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
- B60R16/0373—Voice control
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Abstract
The application discloses a control method for a road noise reduction system of a vehicle, the control method comprising: and acquiring the driving data of the vehicle, and controlling the road noise reduction system to be selectively started according to the comparison result of the driving data and the preset starting condition of the road noise reduction system. The control method can actively open the road noise reduction system on the road surface with the dominant low-frequency noise, and automatically close the road noise reduction system under the road condition with unobvious low-frequency noise. The noise reduction system can not only carry out noise reduction treatment in real time, but also avoid the problem of energy consumption increase caused by the fact that a road noise reduction system is always on. The application also discloses a vehicle and a storage medium.
Description
Technical Field
The present application relates to the field of transportation, and in particular, to a control method, a vehicle, and a computer-readable storage medium.
Background
At present, a road noise control system is gradually applied to a new energy automobile. Vehicles using the road noise control system are usually kept in two states of normally open and normally closed, if the road noise control system is continuously opened, actuator devices such as sensors, controllers and corresponding speakers need to be in working states all the time, energy consumption of the whole vehicle is increased, and endurance mileage is affected.
Disclosure of Invention
In view of this, the present application provides a control method, a vehicle, and a computer-readable storage medium.
The application provides a control method for a road noise reduction system of a vehicle, the control method comprising:
acquiring driving data of a vehicle;
and controlling the road noise reduction system to be selectively started according to the comparison result of the running data and the preset starting condition of the road noise reduction system.
In some embodiments, the acquiring the traveling data of the vehicle includes:
acquiring noise data collected by an internal microphone of the vehicle;
and carrying out spectrum analysis on the noise data to determine the sound pressure level of noise in a preset frequency band in the vehicle, wherein the preset frequency band is 0-500 Hz.
In some embodiments, the acquiring the traveling data of the vehicle includes:
acquiring tire internal air pressure data of the vehicle;
and performing auxiliary correction on the noise data according to the air pressure data in the tire, and performing frequency spectrum analysis according to the noise data subjected to auxiliary correction to determine the sound pressure level of the noise in the preset frequency band in the vehicle.
In some embodiments, the acquiring the traveling data of the vehicle includes:
acquiring road surface state data scanned by a vehicle laser radar, and predicting the roughness of a road surface according to the road surface state data;
and performing auxiliary correction on the noise data according to the roughness of the road surface, and performing spectrum analysis according to the noise data subjected to the auxiliary correction to determine the sound pressure level of the noise in the preset frequency band in the vehicle.
In some embodiments, the controlling the selective activation of the road noise reduction system according to the comparison result of the driving data and the preset activation condition of the road noise reduction system further comprises:
and controlling the road noise reduction system to be started under the condition that the sound pressure level of the preset frequency band noise in the vehicle is greater than a preset sound pressure value threshold value and the duration is greater than a preset duration.
In some embodiments, the controlling the selective activation of the road noise reduction system according to the comparison result of the driving data and the preset activation condition of the road noise reduction system further comprises:
obtaining map data of a vehicle, wherein the map data stores road noise information which is related to speed and marked in advance;
and controlling the road noise reduction system to be started according to the vehicle map data.
In some embodiments, the acquiring the driving data of the vehicle further comprises:
acquiring vibration acceleration data acquired by a vehicle vibration acceleration sensor;
and carrying out spectrum analysis on the vibration acceleration to determine the amplitude of the vehicle in a preset frequency band, wherein the preset frequency band is 20-300 HZ.
In some embodiments, the controlling the selective activation of the road noise reduction system according to the comparison result of the driving data and the preset activation condition of the road noise reduction system further comprises:
and controlling the road noise reduction system to be started under the condition that the amplitude of the noise of the vehicle in a preset frequency band is greater than a preset amplitude threshold value.
In some embodiments, the acquiring the driving data of the vehicle further comprises:
acquiring road surface state data scanned by a vehicle laser radar;
predicting road surface types according to the road surface state data, wherein the road surface types comprise flat road surfaces and hollow road surfaces;
controlling the road noise reduction system to be started under the condition that the driving road surface in front of the vehicle is the hollow road surface;
and controlling the road noise reduction system to be closed when the driving road surface in front of the vehicle is the flat road surface.
The present application also provides a vehicle comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, implements the control method of any of the above.
The present application also provides a non-transitory computer-readable storage medium, which when executed by one or more processors, implements the control method described in any one of the above embodiments.
According to the method and the device, the selective opening of the road noise reduction system is controlled by acquiring the driving data of the vehicle and according to the comparison result of the driving data and the preset opening condition of the road noise reduction system. Compared with the road noise reduction system mode with only two states of continuous on and continuous off, if the road noise reduction system is continuously on, vehicle devices such as a sensor, a controller and a loudspeaker can be always in a working state, so that the energy consumption of the whole vehicle is increased, and the cruising mileage is more influenced for the electric vehicle. The control method can actively open the road noise reduction system on the road surface with the dominant low-frequency noise, and automatically close the road noise reduction system under the road condition with unobvious low-frequency noise. The noise reduction system can not only carry out noise reduction treatment in real time, but also avoid the problem of energy consumption increase caused by the fact that a road noise reduction system is always on.
Additional aspects and advantages of embodiments of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
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The above and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart of a control method according to certain embodiments of the present application;
FIG. 2 is a block schematic diagram of a control device according to certain embodiments of the present application;
FIG. 3 is a schematic flow chart diagram of a control method according to certain embodiments of the present application;
FIG. 4 is a schematic flow chart diagram of a control method according to certain embodiments of the present application;
FIG. 5 is a schematic flow chart diagram of a control method according to certain embodiments of the present application;
FIG. 6 is a schematic flow chart diagram of a control method according to certain embodiments of the present application;
FIG. 7 is a schematic flow chart diagram of a control method according to certain embodiments of the present application;
FIG. 8 is a schematic flow chart diagram of a control method according to certain embodiments of the present application;
FIG. 9 is a flow chart illustrating a control method according to some embodiments of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below by referring to the drawings are exemplary only for the purpose of explaining the embodiments of the present application, and are not to be construed as limiting the embodiments of the present application.
Referring to fig. 1, the present application provides a control method for a road noise reduction system of a vehicle, the control method comprising:
01: acquiring driving data of a vehicle;
02: and controlling the road noise reduction system to be selectively started according to the comparison result of the running data and the preset starting condition of the road noise reduction system.
Correspondingly, referring to fig. 2, the present application also provides a control device 100, and the control method of the present application may be implemented by the control device 100. The control device 100 includes an acquisition module 110 and a control module 120. Step 01 may be implemented by the acquisition module 110, and step 02 may be implemented by the control module 120. Alternatively, the obtaining module 110 is used to obtain the driving data of the vehicle. The control module 120 is configured to control the selective start of the road noise reduction system according to a comparison result between the driving data and a preset start condition of the road noise reduction system.
The embodiment of the application also provides a vehicle. The vehicle includes a memory and a processor. The processor is used for acquiring the driving data of the vehicle and controlling the road noise reduction system to be selectively started according to the comparison result of the driving data and the preset starting condition of the road noise reduction system.
In particular, vehicles include vehicles that travel on roads, such as vehicles, electric vehicles, hybrid vehicles, and the like that may use a road noise reduction system. Road noise reduction systems include active noise control systems employed on vehicles, typically employing feed-forward, feedback, or a combination of feed-forward and feedback configurations to attenuate the target noise source. When a vehicle is running, Road Noise generated by interaction between a Road surface and tires is transmitted into a vehicle compartment through a suspension and a vehicle body to become environmental Noise, and a technology for eliminating such Noise is called Road Noise active Control (RNC). The RNC system is a self-adaptive least mean square system, a feedforward signal of the RNC system is a vibration signal which generally causes vibration of a vehicle suspension, a feedback signal is a sound pressure signal which is generally measured by an error microphone arranged near the ears in a carriage, a secondary sound source is synthesized according to the frequency characteristic of the feedforward signal, and offset noise which is opposite in phase and amplitude to undesired noise and is emitted at the ears by a vehicle-mounted loudspeaker, so that the purpose of reducing the noise at the ears is achieved.
And acquiring the running data of the vehicle in real time in the running process of the vehicle. The driving data may include noise data in the vehicle, vibration acceleration data of the vehicle, or laser road spectrum identification data, or any combination of the three data. And after the driving data of the vehicle is acquired, selectively starting the road noise reduction system according to the comparison result of the driving data and the preset starting condition of the road noise reduction system. The preset starting conditions of the road noise reduction system can correspond to the driving data, and different driving data types can correspond to the corresponding preset starting conditions. And controlling the road noise reduction system to be started under the condition that the driving data meet the preset starting condition of the road noise reduction system, and controlling the road noise reduction system to be stopped under the condition that the driving data do not meet the preset starting condition of the road noise reduction system.
Therefore, the method and the device control the selective opening of the road noise reduction system according to the comparison result of the running data of the vehicle and the preset opening condition of the road noise reduction system by acquiring the running data of the vehicle. Compared with the road noise reduction system mode with only two states of continuous on and continuous off, if the road noise reduction system is continuously on, vehicle devices such as a sensor, a controller and a loudspeaker can be always in a working state, so that the energy consumption of the whole vehicle is increased, and the cruising mileage is more influenced for the electric vehicle. The control method can actively open the road noise reduction system on the road surface with the dominant low-frequency noise, and automatically close the road noise reduction system under the road condition with unobvious low-frequency noise. The noise reduction system can not only carry out noise reduction treatment in real time, but also avoid the problem of energy consumption increase caused by the fact that a road noise reduction system is always on.
Preferably, referring to fig. 3, in some embodiments, step 01 comprises:
101: acquiring noise data collected by an internal microphone of a vehicle;
102: and carrying out spectrum analysis on the noise data to determine the sound pressure level of the noise in a preset frequency band in the vehicle, wherein the preset frequency band is 0-500 Hz.
In some embodiments, steps 101 and 102 may be implemented by the obtaining module 110. Or, the obtaining module 110 is configured to obtain noise data collected by an internal microphone of the vehicle, and perform spectrum analysis on the noise data to determine a sound pressure level of noise in a preset frequency band in the vehicle, where the preset frequency band is 0-500 Hz.
In some embodiments, the processor is configured to obtain noise data collected by an interior microphone of the vehicle, and perform spectral analysis on the noise data to determine a sound pressure level of noise in a predetermined frequency band in the vehicle, the predetermined frequency band being 0-500 Hz.
Specifically, noise data collected by an interior microphone of a vehicle is acquired. The microphone can be a microphone of a road noise reduction system, and a special microphone for collecting noise data can be newly added. The position of setting up of microphone can be dispersed inside the vehicle, including roof liner, driver near, positions such as car trunk, this application does not do the restriction to the quantity of microphone and laying position, can select according to gathering noise data ability.
The microphone collects noise data inside the vehicle in real time and performs spectral analysis on the noise data through a digital signal processor to determine the sound pressure level of noise in a preset frequency band in the vehicle, wherein the preset frequency band is 0-500 Hz. When the digital signal processor processes the noise data, low-frequency noise data with a preset frequency band of 0-500Hz is selected, and data outside the frequency band can be ignored. The result of the spectral analysis in the frequency band of 0-500Hz is determined as a sound pressure level, e.g. 50 dB. The determination mode can be through a preset mapping curve of frequency and boosting or a relational database and the like. In some embodiments, sound pressure level conversion may not be performed according to preset turn-on conditions.
Further, according to the comparison result between the determined sound pressure level and the preset starting condition of the road noise reduction system, the preset starting condition comprises a set boost value threshold value and a threshold value range. When the sound pressure level exceeds its set threshold, the road noise reduction system may be turned on.
In some embodiments, tire internal air pressure data of the vehicle may be acquired, noise data collected by the microphone may be subjected to auxiliary correction according to the tire internal air pressure data, and a spectrum analysis may be performed according to the noise data subjected to the auxiliary correction to determine a sound pressure level of noise in a preset frequency band in the vehicle. Specifically, the pressure change in the tire can be collected in advance on the basis of collected noise data, the influence on noise reduction is judged by combining the relationship between the pressure change of the tire and the determined sound pressure level, then a mapping relationship is established, the noise data is finely adjusted according to the pressure of the tire, and the sound pressure level of noise in a preset frequency band in the vehicle is determined by combining the noise data and the pressure change of the tire to perform spectrum analysis.
In some embodiments, road surface condition data scanned by the vehicle lidar may also be obtained, including the road surface condition of the current driving road, and the road surface roughness may be predicted based on the road surface condition data. The mapping relation between the road surface state and the roughness can be preset, and real-time classification and judgment can be carried out on the road surface state data through a machine learning model in real time. The road surface roughness may be classified into a predetermined number of levels, such as primary roughness, secondary roughness, and the like. And further, performing auxiliary correction on the noise data according to the predicted or identified road roughness, and performing spectrum analysis according to the noise data subjected to auxiliary correction to determine the sound pressure level of the noise in the preset frequency band in the vehicle. In the same way, the dried bean correction mode can be used for establishing a mapping relation, finely adjusting the noise data through the road surface roughness, and performing spectral analysis by combining the noise data and the road surface roughness so as to determine the sound pressure level of the noise in the preset frequency band in the vehicle.
Preferably, referring to fig. 4, in some embodiments, step 02 includes:
201: and controlling the road noise reduction system to be started under the condition that the sound pressure level of the preset frequency noise in the vehicle is greater than the preset sound pressure value threshold.
In certain embodiments, step 201 may be implemented by control module 120. Or, the control module 120 is configured to control the road noise reduction system to be turned on when the sound pressure level of the preset frequency noise in the vehicle is greater than the preset sound pressure threshold.
In some embodiments, the processor is configured to control the road noise reduction system to be turned on when a sound pressure level of a preset frequency noise in the vehicle is greater than a preset sound pressure value threshold.
Specifically, the determined sound pressure level is compared with a preset sound pressure value threshold. The sound pressure value threshold includes a specific sound pressure value such as 40dB, or a sound pressure value range such as 40-50 dB. And when the determined sound pressure level is smaller than the sound pressure value threshold value or within the sound pressure value threshold value range, controlling the road noise reduction system to be started. And when the determined sound pressure level is greater than or equal to the sound pressure value threshold value or is out of the sound pressure value threshold range, controlling the road noise reduction system to be closed.
In one example, when the vehicle starts to run, the road noise reduction system is turned off, and when the sound pressure level of the noise in the vehicle is detected for the first time to be greater than or equal to the sound pressure value threshold value or is out of the range of the sound pressure value threshold value during running, the road noise reduction system is controlled to be turned on and kept on all the time.
In another example, the road noise reduction system is turned off when the vehicle starts to run, and is controlled to be turned on in real time when the sound pressure level of the noise in the vehicle is detected to be greater than or equal to the sound pressure value threshold value or outside the range of the sound pressure value threshold value during the running process. And real-time detection of driving data is maintained, and when the sound pressure level of the noise in the vehicle is detected to be smaller than the sound pressure value threshold value or within the range of the sound pressure value threshold value, the road noise reduction system is controlled to be closed in real time. And when the sound pressure level of the noise in the vehicle is detected to be larger than or equal to the sound pressure value threshold value again or is out of the sound pressure value threshold value range, controlling the road noise reduction system to be started in real time.
Therefore, the sound pressure level of the noise in the vehicle is determined by collecting the data of the noise in the vehicle and is compared with the threshold value of the sound pressure value to control the road noise reduction system to be selectively started. Compared with other driving data, the microphone of the module of the road noise reduction system is used for collecting and monitoring noise in the vehicle, and the effect of the microphone is fully utilized, so that the road noise reduction system is controlled to be selectively started and the road noise reduction function is realized. Meanwhile, the noise degree in the vehicle more directly reflects the feeling of the user to a certain extent, and the judgment is more accurate. The noise reduction efficiency of the road noise reduction system function is improved to a certain extent, and the energy consumption of the whole vehicle is reduced.
Preferably, referring to fig. 5, in some embodiments, step 02 further includes:
202: and controlling the road noise reduction system to be started under the condition that the sound pressure level of the noise in the preset frequency band in the vehicle is greater than the preset sound pressure value threshold value and the duration is greater than the preset duration.
In certain embodiments, step 202 may be implemented by control module 120. Or in other words, the control module 120 is configured to control the road noise reduction system to be turned on when the sound pressure level of the noise in the preset frequency band in the vehicle is greater than the preset sound pressure threshold and the duration is greater than the preset duration.
In some embodiments, the processor is configured to control the road noise reduction system to be turned on when the sound pressure level of the noise in the preset frequency band in the vehicle is greater than the preset sound pressure threshold and the duration is greater than the preset duration.
Specifically, when the sound pressure level of the noise in the preset frequency band in the vehicle is greater than or equal to the preset sound pressure value threshold, the road noise reduction system is controlled to be started, and meanwhile, the preset time duration is set to be 1 minute, namely, the road noise reduction system is kept to be started within 1 minute.
Meanwhile, in some embodiments, the acquisition of the in-vehicle noise data or the processing of the in-vehicle noise data may be stopped within 1 minute of the preset duration of starting the road noise reduction system. In some embodiments, the detection and processing of the noise data in the vehicle may be continued within 1 minute of the preset duration for turning on the road noise reduction system, and the detection and processing may be omitted if the sound pressure level of the noise in the preset frequency band in the vehicle is detected to be less than the preset sound pressure threshold within 1 minute.
In some embodiments, the preset time period is not set for closing the road noise reduction system, that is, after the preset time period is exceeded by opening the road noise reduction system, when it is detected that the sound pressure level of the noise in the preset frequency band in the vehicle is less than the preset sound pressure value threshold, the road noise reduction system is closed, at this time, the preset time period is not set any more, and when it is detected that the sound pressure level of the noise in the preset frequency band in the vehicle is greater than or equal to the preset sound pressure value threshold at any time, the road noise reduction system is opened.
In some embodiments, a preset time period may be set for turning off the road noise reduction system in the same manner as the preset time period for turning on the road noise reduction system, which is not described herein again. When the system is opened and closed, the preset time lengths are set, the preset time lengths of the system and the user can be the same or different, the system can be set automatically, and the user can also set the preset time lengths by the interaction of the pictures. The system can fix preset duration during automatic setting, and can also adjust the duration according to the running of the vehicle in a city or suburb, or adjust the motion mode of the vehicle, so that the system is matched with the current environment of the vehicle, the noise reduction processing capacity is improved, and the user experience is improved.
So, predetermine long time through the setting, can avoid to a certain extent leading to frequent the opening of road noise reduction system because of the emergency on road surface when control road noise reduction system, on the one hand, be unfavorable for noise reduction system to the elimination of noise to handle, on the other hand leads to the energy consumption to increase.
In some embodiments, the vehicle may store road noise information that is pre-marked in relation to speed, and the determination may be made in real time based on the road noise information in the map data of the vehicle during the driving of the vehicle, and the road noise reduction system may be controlled to turn on when the current driving speed of the vehicle reaches a speed in the map data and/or within a range of the map marker.
In one example, when the vehicle enters the noise range area of the map data, the road noise reduction system is turned on, and when the vehicle leaves the noise range area, the road noise reduction system may be turned off in combination with any of the above determination manners.
In another example, when the vehicle enters a noise range area of the map data and the vehicle reaches a predetermined speed, the road noise reduction system is turned on.
Referring to fig. 6, in some embodiments, step 01 further includes:
103: acquiring vibration acceleration data acquired by a vehicle vibration acceleration sensor;
104: and carrying out spectrum analysis on the vibration acceleration to determine the amplitude of the vehicle in a preset frequency band, wherein the preset frequency band is 20HZ-300 HZ.
In some embodiments, steps 103 and 104 may be implemented by the acquisition module 110. Or, the obtaining module 110 is configured to obtain vibration acceleration data collected by a vehicle vibration acceleration sensor, and perform spectrum analysis on the vibration acceleration to determine an amplitude of the vehicle in a preset frequency band, where the preset frequency band is 20HZ to 300 HZ.
In some embodiments, the processor is configured to obtain vibration acceleration data collected by a vehicle vibration acceleration sensor, and perform a spectral analysis on the vibration acceleration to determine an amplitude of the vehicle in a predetermined frequency band, the predetermined frequency band being 20HZ to 300 HZ.
Specifically, the vehicle vibration acceleration data may be acquired by an acceleration sensor of the road noise reduction system itself or a dedicated acceleration sensor, such as an acceleration sensor disposed on the chassis, and the acceleration signal of the acceleration sensor is input to a digital signal processor for spectrum analysis, wherein only the amplitude of the low frequency band, including the frequency band range of 20HZ to 300HZ, the data of the remaining frequency band range and disregard may be processed.
Referring to fig. 7, in some embodiments, step 02 further includes:
203: and controlling the road noise reduction system to be started under the condition that the amplitude of the noise of the vehicle in the preset frequency band is greater than a preset amplitude threshold value.
In certain embodiments, step 203 may be implemented by control module 120. In other words, the control module 120 is configured to control the road noise reduction system to be turned on when the amplitude of the noise in the preset frequency band is greater than the preset amplitude threshold.
In some embodiments, the processor is configured to control the road noise reduction system to turn on if the amplitude of the noise in the predetermined frequency band is greater than a predetermined amplitude threshold.
Specifically, the on-road noise reduction system is controlled to be on when the amplitude of the low frequency band (20Hz-300Hz) exceeds a preset amplitude threshold, and the on-road noise reduction system may be turned off when the amplitude of the low frequency band (20Hz-300Hz) falls below the preset amplitude threshold.
Therefore, the vibration acceleration is subjected to spectrum analysis through the vibration acceleration data collected by the vehicle vibration acceleration sensor to determine the amplitude of the vehicle in a preset frequency band, and the road noise reduction system is controlled to be started through the comparison of a preset amplitude threshold value. Compared with other driving data, the vehicle-mounted noise is collected and monitored by using the acceleration sensor of the module of the road noise reduction system, and the function of the acceleration sensor is fully utilized, so that the road noise reduction system is controlled to be selectively started and the road noise reduction function is realized. Meanwhile, compared with the situation that the noise in the vehicle is misjudged by other noise such as wind noise, the vibration acceleration of the vehicle can more accurately reflect the road surface condition of the road, the noise reduction effect of the road noise reduction system function on the road noise is improved to a certain extent, and the energy consumption of the whole vehicle is reduced.
Referring to fig. 8, in some embodiments, step 01 further includes:
105: acquiring road surface state data scanned by a vehicle laser radar;
106: the road surface type is predicted from the road surface state data, and the road surface type includes a flat road surface and a depressed road surface.
In certain embodiments, steps 105 and 106 may be implemented by acquisition module 110. In other words, the obtaining module 110 is configured to obtain road surface state data scanned by the vehicle lidar, and predict a road surface type according to the road surface state data, where the road surface type includes a flat road surface and a hollow road surface.
In some embodiments, the processor is configured to acquire road surface condition data scanned by the vehicle lidar, and predict road surface types from the road surface condition data, the road surface types including flat road surfaces and pothole road surfaces.
Specifically, the vehicle is equipped with laser radar equipment, and laser radar equipment detects the state in road surface the place ahead in real time, and it detects the road surface scope and can set up according to laser radar equipment. The road surface types can be classified into two types, i.e., a flat road surface and a depressed road surface, according to the passage of the laser radar scan. The scanning result and the dividing result can be preset in a database, and the road surface type can be predicted according to the scanning result through a mapping relation or a machine learning model such as a classification model.
The road surface types include a flat road surface and a depressed road surface. Flat surfaces such as urban asphalt, hollow surfaces such as coarse asphalt or uneven surfaces having depressions and projections of the road surface can be set specifically according to the scanning capability of the laser radar apparatus.
In some embodiments, the road surface types may be further divided into more types such as burst pothole road surface, continuous pothole road surface, etc., and may be set according to the scanning capability of the actual lidar apparatus.
In some embodiments, the road condition ahead can also be obtained by an intelligent camera mounted on the vehicle, such as dividing the road surface type into the above types through visual analysis processing according to the shot images.
And further, comparing the predicted road surface type with a preset starting condition of the road noise reduction system. The preset starting condition comprises that whether the road noise reduction system is started or not is judged according to the road surface type. If the road noise reduction system is closed on a flat road surface, the road noise reduction system is opened on a hollow road surface.
Preferably, referring to fig. 9, in some embodiments, step 02 further includes:
204: controlling a road noise reduction system to be started under the condition that a driving road surface in front of a vehicle is a hollow road surface;
205: and controlling the road noise reduction system to be closed when the driving road surface in front of the vehicle is a flat road surface.
In certain embodiments, step 204 may be implemented by control module 120. Alternatively, the control module 120 is configured to control the road noise reduction system to be turned on when the driving surface in front of the vehicle is a dimpled surface, and to be turned off when the driving surface in front of the vehicle is a flat surface.
In some embodiments, the processor is configured to control the road noise reduction system to be on if the road surface in front of the vehicle is a pothole, and to control the road noise reduction system to be off if the road surface in front of the vehicle is a flat road surface.
In one example, the road noise reduction system is controlled to be turned on in the case where a road surface ahead of the vehicle for a preset distance, such as 5 meters, is a depressed road surface. And controlling the road noise reduction system to be closed under the condition that the running road surface in front of the vehicle at a preset distance of 5 meters is a flat road surface.
In another example, the road noise reduction system is controlled to be on in the case of a pothole in the road surface for a preset distance, such as 5 meters, in front of the vehicle, and not turned off for a preset time, such as 5 minutes. And judging the front driving road again after the preset time.
Therefore, the road noise reduction system is controlled to be selectively started by judging the type of the road surface. Compared with other judging modes such as in-vehicle noise data, the method has the advantages that the front driving road surface can be obtained for judgment in advance, the road noise reduction system can be turned off by turning on in advance, and the turning-on and turning-off time is more advantageous.
In some embodiments, the travel data may be combined arbitrarily to perform the comprehensive determination.
In one example, the laser device can be used for judging the type of the road surface and collecting the noise data in the vehicle, the laser device detects the driving road surface with a preset distance of 10 meters in front in real time in the driving process of the vehicle, when the type of the road surface is a flat road surface, the microphone is controlled to be started to collect the noise data collecting system, so that the microphone collects the noise data in the vehicle in real time, and whether the road noise reducing system is started or stopped is determined according to the sound pressure level of the frequency spectrum analysis. When a hollow road surface 10 meters ahead is detected, the microphone noise data acquisition system is controlled to be closed, and the road noise reduction system is started at the same time.
Therefore, whether the road noise reduction system is started or not can be comprehensively judged from the driving data of various obtained vehicles, the reliability of judgment is effectively improved, the advantages of the accuracy of noise in the vehicle, the comprehensiveness of vibration acceleration and the prejudgment of laser equipment are combined, more complex road conditions can be met, the effectiveness of judgment is improved, and the energy consumption of the whole vehicle is reduced.
The embodiment of the application also provides a computer readable storage medium. One or more non-transitory computer-readable storage media storing a computer program that, when executed by one or more processors, implements the control method of any of the above embodiments. It will be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiments may be implemented by a computer program instructing relevant software. The program may be stored in a non-volatile computer readable storage medium, which when executed, may include the flows of embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or the like.
In the description herein, references to the description of the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example" or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
Although embodiments of the present application have been shown and described above, it is to be understood that the above embodiments are exemplary and not to be construed as limiting the present application, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (11)
1. A control method for a road noise reduction system for a vehicle, the control method comprising:
acquiring driving data of a vehicle;
and controlling the road noise reduction system to be selectively started according to the comparison result of the running data and the preset starting condition of the road noise reduction system.
2. The control method according to claim 1, wherein the acquiring the travel data of the vehicle includes:
acquiring noise data collected by an internal microphone of the vehicle;
and carrying out spectrum analysis on the noise data to determine the sound pressure level of noise in a preset frequency band in the vehicle, wherein the preset frequency band is 0-500 Hz.
3. The control method according to claim 2, wherein the acquiring the travel data of the vehicle includes:
acquiring tire internal air pressure data of the vehicle;
and performing auxiliary correction on the noise data according to the air pressure data in the tire, and performing frequency spectrum analysis according to the noise data subjected to auxiliary correction to determine the sound pressure level of the noise in the preset frequency band in the vehicle.
4. The control method according to claim 2, wherein the acquiring the travel data of the vehicle includes:
acquiring road surface state data scanned by a vehicle laser radar, and predicting the roughness of a road surface according to the road surface state data;
and performing auxiliary correction on the noise data according to the roughness of the road surface, and performing spectrum analysis according to the noise data subjected to the auxiliary correction to determine the sound pressure level of the noise in the preset frequency band in the vehicle.
5. The control method according to claim 2, wherein said controlling the selective activation of the road noise reduction system according to the comparison of the driving data and the preset activation condition of the road noise reduction system further comprises:
and controlling the road noise reduction system to be started under the condition that the sound pressure level of the preset frequency band noise in the vehicle is greater than a preset sound pressure value threshold value and the duration is greater than a preset duration.
6. The control method according to claim 5, wherein said controlling the selective activation of the road noise reduction system according to the comparison of the driving data and the preset activation condition of the road noise reduction system further comprises:
obtaining map data of a vehicle, wherein the map data stores road noise information which is related to speed and marked in advance;
and controlling the road noise reduction system to be started according to the vehicle map data.
7. The control method according to claim 1, wherein the acquiring the travel data of the vehicle further comprises:
acquiring vibration acceleration data acquired by a vehicle vibration acceleration sensor;
and carrying out spectrum analysis on the vibration acceleration to determine the amplitude of the vehicle in a preset frequency band, wherein the preset frequency band is 20-300 HZ.
8. The control method of claim 7, wherein the controlling the selective activation of the road noise reduction system according to the comparison of the driving data and a preset activation condition of the road noise reduction system further comprises:
and controlling the road noise reduction system to be started under the condition that the amplitude of the noise of the vehicle in a preset frequency band is greater than a preset amplitude threshold value.
9. The control method according to claim 1, wherein the acquiring the travel data of the vehicle further comprises:
acquiring road surface state data scanned by a vehicle laser radar;
predicting road surface types according to the road surface state data, wherein the road surface types comprise flat road surfaces and hollow road surfaces;
controlling the road noise reduction system to be started under the condition that the driving road surface in front of the vehicle is the hollow road surface;
and controlling the road noise reduction system to be closed when the driving road surface in front of the vehicle is the flat road surface.
10. A vehicle comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, implements the control method of any one of claims 1-9.
11. A non-transitory computer-readable storage medium of a computer program, wherein the computer program, when executed by one or more processors, implements the control method of any one of claims 1-9.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08297048A (en) * | 1995-04-26 | 1996-11-12 | Honda Motor Co Ltd | Evaluation method for aerodynamic noise |
| JP2004317248A (en) * | 2003-04-15 | 2004-11-11 | Ricoh Co Ltd | Sound identification method, noise evaluation device, noise evaluation method, noise evaluation program and recording medium |
| JP2010173516A (en) * | 2009-01-30 | 2010-08-12 | Toyota Motor Corp | Road noise reducing system |
| CN104581536A (en) * | 2015-01-26 | 2015-04-29 | 深圳市冠旭电子有限公司 | Method and device for controlling noise reduction of earphone |
| CN104908688A (en) * | 2015-05-20 | 2015-09-16 | 浙江吉利汽车研究院有限公司 | Method and device for active noise reduction of vehicle |
| CN111081213A (en) * | 2018-10-19 | 2020-04-28 | 比亚迪股份有限公司 | New energy vehicle, active sound system thereof and active sound control method |
| CN111521406A (en) * | 2020-04-10 | 2020-08-11 | 东风汽车集团有限公司 | High-speed wind noise separation method for passenger car road test |
| WO2021165004A1 (en) * | 2020-02-19 | 2021-08-26 | Bayerische Motoren Werke Aktiengesellschaft | Method and control unit for operating a noise suppression unit of a vehicle |
| CN113488017A (en) * | 2021-07-07 | 2021-10-08 | 蔚来汽车科技(安徽)有限公司 | Active noise reduction system and vehicle for road noise |
-
2021
- 2021-11-16 CN CN202111357980.7A patent/CN114103841A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08297048A (en) * | 1995-04-26 | 1996-11-12 | Honda Motor Co Ltd | Evaluation method for aerodynamic noise |
| JP2004317248A (en) * | 2003-04-15 | 2004-11-11 | Ricoh Co Ltd | Sound identification method, noise evaluation device, noise evaluation method, noise evaluation program and recording medium |
| JP2010173516A (en) * | 2009-01-30 | 2010-08-12 | Toyota Motor Corp | Road noise reducing system |
| CN104581536A (en) * | 2015-01-26 | 2015-04-29 | 深圳市冠旭电子有限公司 | Method and device for controlling noise reduction of earphone |
| CN104908688A (en) * | 2015-05-20 | 2015-09-16 | 浙江吉利汽车研究院有限公司 | Method and device for active noise reduction of vehicle |
| CN111081213A (en) * | 2018-10-19 | 2020-04-28 | 比亚迪股份有限公司 | New energy vehicle, active sound system thereof and active sound control method |
| WO2021165004A1 (en) * | 2020-02-19 | 2021-08-26 | Bayerische Motoren Werke Aktiengesellschaft | Method and control unit for operating a noise suppression unit of a vehicle |
| CN111521406A (en) * | 2020-04-10 | 2020-08-11 | 东风汽车集团有限公司 | High-speed wind noise separation method for passenger car road test |
| CN113488017A (en) * | 2021-07-07 | 2021-10-08 | 蔚来汽车科技(安徽)有限公司 | Active noise reduction system and vehicle for road noise |
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