AES 5th International Conference on Automotive Audio

This paper explores the use of virtual sensing in a feedforward active noise cancellation (ANC) system for an electric vehicle. Vibration reference signals and microphone disturbance signals were recorded in an electric vehicle operating in cruise control mode at various driving speeds. The dataset was used to test the Remote Microphone (RM) and Auxiliary Filter (AF) virtual sensing methods and to investigate their sensitivity to variations in road speed and acoustic conditions. The standard RM method gave slightly better results than the AF method and was less computationally expensive. This was improved upon using a variant of the standard RM that minimises a delayed version of the error. The optimisation methods and control algorithms developed here could be readily used on other datasets to further investigate the use of virtual sensing.