Noise control of electric vehicles using active noise cancellation technique

Abstract

An electric vehicle (EV) has a quieter interior than a normal vehicle with an internal combustion engine. Nevertheless, the interior noise of an electric car typically comprises large high-frequency noise components created by the electric motor, which can be irritating and unpleasant to passengers. At greater speeds, structure-borne noise, tire/road noise, and wind noise will become more frequent. Low-frequency noise sources, such as road noise or wind noise, provide a problem for traditional passive noise reduction systems, which rely on sound-absorbing materials or reflecting panels to minimize vehicle weight and interior space. As a result, the Active Noise Control (ANC) technology could be a viable choice for reducing interior noise in electric vehicles. On the basis of the principle of superposition, active noise control (ANC) is performed by generating a canceling wave through a secondary source that suppresses the primary (undesired) noise. In this project, we used MATLAB/Simulink to simulate an Active Noise Cancelling system based on the LMS method. A reference microphone, an error microphone, and a canceling or auxiliary noise source make up an ANC system. They are linked through an electronic system. We found that the unwanted noise can be significantly reduced using ANC and noise cancellation depends on the parameters like step size and sample time.