UC research promises quiet cars -- even when hitting unexpected bumps in the road

August 14, 2012 By M.B. Reilly, University of Cincinnati
Research by UC's Guohua Sun promises to reduce the road noise perceived within a car's cabin. Photo: Dottie Stover

All noise is not necessarily equal – especially when it comes to sound minimization in automobiles.

For instance, automakers have long used sound-absorbing materials (passive control) in the design of cars in order to minimize engine and the “routine” noise of tires traveling on smooth pavement at a consistent speed. However, a means to minimize sudden, unexpected noises – like those from an encounter with potholes, bumps or other roadway pavement obstacles – has been more problematic.

A significant step in countering such unexpected roadway noises is the development of an adaptive, active algorithm that would enable the deployment of a rapid-response sound wave that would counter and, in effect, significantly “erase” the perceived road noise heard within the car’s cabin when the auto unexpectedly hits a roadway obstacle like a pothole or bump. This development will be presented by University of Cincinnati engineering doctoral student Guohua Sun at the Aug. 19-22 INTER-NOISE, the 41st International Congress and Exposition on Noise Control Engineering. The research is sponsored by Ford Motor Co.

His paper is titled “Modified Filtered-x LMS Algorithm for Active Control of Vehicle Road Impact Noise,” and co-authors are Mingfeng Li, research associate in UC’s College of Engineering and Applied Science (CEAS), and Teik C. Lim, Herman Schneider professor of mechanical engineering.

According to Sun, “Within the next year, we will verify the real-world efficacy of the algorithm in actual test vehicles with Ford.  It’s expected that the numerical simulation, when tested in the real world, will reduce road-impact noise perceived by the car driver by three to five decibels.” (That level of reduction is significant, minimizing the resulting sound by at least half to three quarters of its original volume.)


Photo: Dottie Stover

An active noise control (ANC) system like the mathematical simulation created by the UC team is fundamentally based on the active minimization of one sound wave (noise caused by a roadway obstacle) by an opposite-phased “mirror” wave. In other words, noise is heard due to the travel of sound waves. However, any particular noise can be quieted if its sound wave encounters an inverted “mirror,” opposite-phase sound wave.  The two waves would overlap; however, while one wave is peaking, the corresponding out-of-phase wave dips. The end result is sound that is significantly diminished.


Such active noise control in automobiles is available in high-end, luxury cars in Japan and in the future from Ford; however, even these ANC systems are used only to negate “routine” roadway noise – the noise of a car traveling at a consistent speed on smooth pavement.

“There is a real challenge in creating an ANC system that can treat random road noise, the impact sound of a pothole or a bump and other transient responses, such that the sound is minimized within the car’s cabin.  The challenge comes because the sound is unexpected and cannot be easily predicted.  So, you need a stable, robust algorithm that can efficiently and quickly track such noise and respond to it,” said Sun.

He added that the challenge is heightened by the fact that the sound must be minimized within the relatively large space of a car’s cabin: “ANC is what’s used to dampen unwanted sounds when you put in music plugs into your ears, but that’s a much easier problem to solve because your ear canal is a very small cavity.”


The ANC algorithm created by Sun and his colleagues and advisor is applicable because of the electronic and digital systems now common in cars. For instance, the car’s computer that operates music, GPS, engine sensor and other functions can also be employed to operate an ANC system, and the sensors (and even door and roof music speakers)  now common in various parts of an automobile could be employed to generate ANC signals as needed.


Sun expects that demand for control features will increase as electric vehicles become more prevalent.  That’s because an electric motor generates very little noise when compared to the engines found in traditional, gas-powered vehicles.  Thus, an electric car’s engine noise cannot mask ambient road noises as well as do more-traditional engines, and so, those road/ambient noises seem louder in an electric vehicle.  

Or, conversely, an ANC system in an electric vehicle could be used to generate and mimic the sound of a traditional car engine.

Said Sun, “Consumers might prefer an electric car that generates the engine sound they are accustomed to.  And there are certain safety considerations with electric vehicles due to the fact that their engines are so quiet.  Pedestrians, cyclists or other drivers have little to no audio cues of the presence of an electric vehicle due to engine noise.  As a safety measure, it’s possible to use ANC to create that expected .”

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1 / 5 (2) Aug 14, 2012
Would this also try to reduce the sound of emergency vehicles?

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