Research on In-Vehicle Clustered Multi-Channel Active Noise Control System

2025-01-0016

05/05/2025

Features
Event
Noise & Vibration Conference & Exhibition
Authors Abstract
Content
To address the issue of intermittent engine intervention during the charging and discharging processes of hybrid vehicles, which results in roaring noise within the cabin, this paper proposes a semi-coupled cluster control strategy that offers superior overall performance. This strategy is based on the traditional multi-channel Active Noise Control (ANC) system and integrates the advantages of both centralized and decentralized control approaches. The proposed clustered control strategy reduces computational load by approximately 50% compared to the centralized control strategy, while maintaining comparable noise attenuation performance. Moreover, it demonstrates significantly improved stability over the decentralized control strategy, with outstanding noise reduction results. Using the MATLAB simulation platform, the performance of the proposed in-vehicle clustered control strategy is compared with that of traditional control strategies. Additionally, road test experiments are conducted on a programmable electric vehicle under typical operating conditions to verify the strategy's effectiveness. The results indicate that the clustered control strategy is highly applicable to multi-channel ANC systems in vehicles, achieving average noise reductions of 6 dB(A), 19.7 dB(A), and 3.8 dB(A) for the 2nd, 4th, and 6th-order incremental programmer noise at the headrest positions of the four seats, respectively. These results demonstrate both effective noise reduction and stability. The findings hold significant scientific and engineering value and can be applied to noise control in manned environments, such as airplanes and submarines.
Meta TagsDetails
DOI
https://doi.org/10.4271/2025-01-0016
Pages
7
Citation
Deng, H., Lu, C., Chen, W., Liu, Z. et al., "Research on In-Vehicle Clustered Multi-Channel Active Noise Control System," SAE Technical Paper 2025-01-0016, 2025, https://doi.org/10.4271/2025-01-0016.
Additional Details
Publisher
Published
Yesterday
Product Code
2025-01-0016
Content Type
Technical Paper
Language
English