This application is the U.S. national phase of PCT Application No. PCT/IB2016/056046 filed on Oct. 10, 2016, which claims priority to EP Patent Application No. 15190169.1 filed on Oct. 16, 2015, the disclosures of which are incorporated in their entirety by reference herein.
The disclosure relates to road and engine noise control systems and methods.
Road noise control (RNC) technology reduces unwanted road noise inside a car by generating anti-noise, i.e., sound waves that are opposite in phase to the sound waves to be reduced, in a similar manner as with active noise control (ANC) technology. RNC technology uses noise and vibration sensors to pick up unwanted noise and vibrations generated from tires, car body components, and rough road surfaces that cause or transfer noise and vibrations. The result of canceling such noise is a more pleasurable ride and it enables car manufacturers to use lightweight chassis materials, thereby increasing fuel mileage and reducing emissions. Engine order cancellation (EOC) technology uses a non-acoustic signal such as a repetitions-per-minute (RPM) sensor representative of the engine noise as a reference to generate a sound wave that is opposite in phase to the engine noise audible in the car interior. As a result, EOC makes it easier to reduce the use of conventional damping materials. In both systems, additional error microphones mounted in the car interior may provide feedback on the amplitude and phase to refine noise reducing effects. However, the two technologies require different sensors and different signal processing in order to observe road noise and engine order related noise so that commonly two separate systems are used side by side.
An exemplary road and engine noise control system includes a first sensor configured to directly pick up road noise from a structural element of a vehicle and to generate a first sense signal representative of the road noise, a second sensor configured to directly pick up engine noise from an engine of the vehicle and to generate a second sense signal representative of the engine noise, and a combiner configured to combine the first sense signal and the second sense signal to provide a combination signal representing a combination of the first sense signal and the second sense signal. The system further includes a broadband active noise control filter configured to generate a filtered combination signal from the combination signal, and a loudspeaker configured to convert the filtered combination signal of the active noise control filter into anti-noise and to radiate the anti-noise to a listening position in an interior of the vehicle. The filtered combination signal is configured so that the anti-noise reduces the road noise and engine noise at the listening position.
An exemplary road and engine noise control method includes directly picking up road noise from a structural element of a vehicle to generate a first sense signal representative of the road noise, directly picking up engine noise from an engine of the vehicle to generate a second sense signal representative of the engine noise, and combining the first sense signal and the second sense signal to provide a combination signal representing a combination of the first sense signal and the second sense signal. The method further includes broadband active noise control filtering to generate a filtered combination signal from the combination signal, and converting the filtered combination signal provided by the active noise control filtering into anti-noise and radiating the anti-noise to a listening position in an interior of the vehicle. The filtered combination signal is configured so that the anti-noise reduces the road noise and engine noise at the listening position.
The disclosure may be better understood by reading the following description of non-limiting embodiments in connection with the attached drawings, in which like elements are referred to with like reference numbers, wherein below:
Noise is generally the term used to designate sound that does not contribute to the informational content of a receiver, but rather is perceived to interfere with the audio quality of a desired signal. The evolution process of noise can be typically divided into three phases. These are the generation of the noise, its propagation (emission) and its perception. It can be seen that an attempt to successfully reduce noise is initially aimed at the source of the noise itself, for example, by attenuation and subsequently by suppression of the propagation of the noise signal. Nonetheless, the emission of noise signals cannot be reduced to the desired degree in many cases. In such cases, the concept of removing undesirable sound by superimposing a compensation signal is applied.
Known methods and systems for canceling or reducing emitted noise suppress unwanted noise by generating cancellation sound waves to superimpose on the unwanted signal, whose amplitude and frequency values are for the most part identical to those of the noise signal, but whose phase is shifted by 180 degrees in relation to the noise. In ideal situations, this method fully extinguishes the unwanted noise. This effect of targeted reduction of the sound level of a noise signal is often referred to as destructive interference or noise control. In vehicles, the unwanted noise can be caused by effects of the engine, the tires, suspension and other units of the vehicle, and therefore varies with the speed, road conditions and operating states in the vehicle.
Common EOC systems utilize for the engine noise control a narrowband feed-forward active noise control (ANC) framework in order to generate anti-noise by adaptive filtering of a reference signal that represents the engine harmonics to be cancelled. After being transmitted via a secondary path from an anti-noise source to a listening position, the anti-noise has the same amplitude but opposite phase as the signals generated by the engine and filtered by a primary path that extends from the engine to the listening position. Thus, at the place where an error microphone resides in the room, i.e., at or close to the listening position, the overlaid acoustical result would ideally become zero so that error signals picked up by the error microphone would only record sounds other than the (cancelled) harmonic noise from the engine.
Commonly, a non-acoustical sensor such as a sensor measuring the repetitions-per-minute (RPM), is used as a reference. The signal from the RPM sensor can be used as a synchronization signal for generating an arbitrary number of synthesized harmonics corresponding to the engine harmonics. The synthesized harmonics form the basis for noise canceling signals generated by a subsequent narrowband feed-forward ANC system. Even if the engine harmonics mark the main contributions to the total engine noise, they by no means cover all noise components radiated by the engine, such as bearing play, chain slack, or valve bounce. However, an RPM sensor based system is not able to cover signals other than the harmonics.
In common RNC systems, airborne and structure-borne noise sources are monitored by noise and vibration sensors such as acceleration sensors in order to provide the highest possible road noise reduction performance. For example, acceleration sensors used as input noise and vibration sensors may be disposed throughout the vehicle to monitor the structural behavior of the suspension and other axle components. RNC systems utilize a broadband feed-forward active noise control (ANC) framework in order to generate anti-noise by adaptive filtering of the signal from the noise and vibration sensor that represents the road noise to be cancelled. Noise and vibration sensors may include acceleration sensors such as accelerometers, force gauges, load cells, etc. For example, an accelerometer is a device that measures proper acceleration. Proper acceleration is not the same as coordinate acceleration, which is the rate of change of velocity. Single- and multi-axis models of accelerometers are available for detecting magnitude and direction of the proper acceleration and can be used to sense orientation, coordinate acceleration, motion, vibration, and shock.
As can be seen, the noise sensors and the subsequent signal processing in EOC and RNC systems are different. As the name suggests, EOC is only able to control engine orders. Other components of the engine signal that have a non-negligible acoustical impact and that cannot be controlled with the signal provided by a narrowband non-acoustic sensor (e.g., RPM sensor) cannot be counteracted with this system.
Referring to
When an acoustic sensor is used to pick up engine noise, the sensor should not be prone to pick up acoustical feedback signals from the loudspeaker. But if sufficiently well insulated from the loudspeaker, which may be the case if a microphone is directly mounted on the engine block at a preferred position (e.g. close to the crankshaft and valves) and sufficiently well decoupled from the sound in the interior by the front console and hood. An acoustic sensor similar to a stethoscope may be used to pick up exclusively the broadband engine noise signals.
In the road and engine noise control system shown in
Furthermore, in this road and engine noise control system, the same ANC algorithm is used in combination with an additional sensor for ENC. Since adaptation rates of narrowband feed-forward ANC systems as used in EOC are usually high, it is likely that the traceability property of a broadband engine noise control system will be worse than that of an EOC system, unless certain measures are taken. However, broadband RNC and the combination of ENC and RNC in one common framework enhances the efficiency of the overall system. Sensors that are able to pick up broadband engine noise signals require a subsequent signal processing other than the previously used narrowband feed-forward ANC system which is unable to cope with broadband reference signals. For example, a suitable ANC system is a broadband feed-forward ANC framework employing a least mean square (LMS) algorithm. If a filtered-x least mean square (FXLMS) algorithm has been chosen for this task, one efficient combination of these two algorithms may be as depicted in
A single-channel feedforward active road and engine noise control system with FXLMS algorithm is shown in
At the same time, an error signal e(n) representing the sound including noise present in the cabin of the vehicle 204 is detected by a microphone 205 which may be arranged within the cabin in a headrest 206 of a seat (e.g., the driver's seat). A transfer characteristic W(z) of a controllable filter 208 is controlled by an adaptive filter controller 209 which may operate according to the known least mean square (LMS) algorithm based on the error signal e(n) and on the sum signal x(n) filtered with a transfer characteristic S′(z) by a filter 210, wherein W(z)=−P(z)/S(z). S′(z)=S(z) and S(z) represents the transfer function between the loudspeaker 211 and the microphone 205, i.e., the transfer function S(z) of a secondary path. A signal y(n) that, after having traveled through the secondary path, has a waveform inverse in phase to that of the road and engine noise audible within the cabin, is generated by an adaptive filter formed by controllable filter 208 and filter controller 209 based on the thus identified transfer characteristic W(z) and the sum signal x(n). From signal y(n), after it has traveled through the secondary path, sound with a waveform inverse in phase to that of the road and engine noise audible within the cabin is generated by the loudspeaker 211, which may be arranged in the cabin, to thereby reduce the road and engine noise within the cabin.
The exemplary system shown in
To pick-up engine noise, an acceleration sensor 301 may be combined with an RPM sensor 302 as shown in
Referring to
Referring to
The description of embodiments has been presented for purposes of illustration and description. Suitable modifications and variations to the embodiments may be performed in light of the above description or may be acquired by practicing the methods. For example, unless otherwise noted, one or more of the described methods may be performed by a suitable device and/or combination of devices. The described methods and associated actions may also be performed in various orders in addition to the order described in this application, in parallel, and/or simultaneously. The described systems are exemplary in nature, and may include additional elements and/or omit elements.
As used in this application, an element or step recited in the singular and preceded by the word “a” or “an” should be understood as not excluding the plural of said elements or steps, unless such exclusion is stated. Furthermore, references to “one embodiment” or “one example” of the present disclosure are not intended to be interpreted as excluding the existence of additional embodiments that also incorporate the recited features. The terms “first,” “second,” and “third,” etc. are used merely as labels, and are not intended to impose numerical requirements or a particular positional order on their objects.
Number | Date | Country | Kind |
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15190169 | Oct 2015 | EP | regional |
Filing Document | Filing Date | Country | Kind |
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PCT/IB2016/056046 | 10/10/2016 | WO | 00 |
Publishing Document | Publishing Date | Country | Kind |
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WO2017/064603 | 4/20/2017 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
5245664 | Kinoshite et al. | Sep 1993 | A |
20100014685 | Wurm | Jan 2010 | A1 |
20100124337 | Wertz | May 2010 | A1 |
20100290635 | Shridhar et al. | Nov 2010 | A1 |
20110235693 | Lee | Sep 2011 | A1 |
20120257763 | Bowden | Oct 2012 | A1 |
20130156213 | Pan | Jun 2013 | A1 |
20160300559 | Lee | Oct 2016 | A1 |
Number | Date | Country |
---|---|---|
101888223 | Nov 2010 | CN |
104835490 | Aug 2015 | CN |
2133866 | Dec 2009 | EP |
2251860 | Nov 2010 | EP |
5-53589 | Mar 1993 | JP |
05-053589 | Mar 1993 | JP |
H06161466 | Jun 1994 | JP |
2010264974 | Nov 2010 | JP |
2015023707 | Feb 2015 | WO |
Entry |
---|
Machine translation of JP5-53589, 12 pages (Year: 1993). |
Second Office Action dated Mar. 24, 2021 for European Application No. 15190169.1 filed Oct. 16, 2015, 9 pgs. |
English Translation of Office Action dated Oct. 23, 2020 for Japanese Application No. 2018-516458 filed Mar. 29, 2018, 6 pgs. |
English Translation of Final Office Action dated May 19, 2021 for Japanese Application No. 2018-516458 filed Mar. 29, 2018, 9 pgs. |
English Translation of First Office Action dated Jan. 26, 2022 for Chinese Application No. 201680059244.4 filed Oct. 10, 2016, 26 pgs. |
Number | Date | Country | |
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20180277090 A1 | Sep 2018 | US |