噪声与振动控制2026，Vol.46Issue(1)：34-40,7.DOI:10.3969/j.issn.1006-1355.2026.01.006
声强控制的智能座舱自适应声场分区算法
An Adaptive Algorithm for Intelligent Cabin Sound Field Zoning Based on Sound Intensity Control
摘要
Abstract
To address the issue that the sound field zoning control system in vehicles cannot effectively control the phase information of the sound field,leading to sub-optimal control performance,an adaptive sound field zoning algorithm based on sound intensity control was proposed.Through the measurement of the acoustic transfer function(ATF)and the sound intensity information in the initial and variable acoustic environment of the vehicle,the target function that minimizes the sound intensity in the dark zone was established.Setting the constraints condition of the phase information of the sound intensity in the bright zone,the control filter coefficients were derived by simulation.When the acoustic environment changed,the control filter coefficients were updated using an adaptive algorithm,and the zoning performances of different methods were compared.Experimental validation shows that using the sound intensity control method,the average sound contrast degree can be improved by 3.6 dB across the full frequency band while maintaining the same accuracy of sound field reproduction.The results indicate that the adaptive sound field zoning algorithm based on sound intensity control,with the initial sound intensity parameter input only,can maintain good zoning performance through adaptive iteration when the acoustic environment in the vehicle changes.关键词
声学/智能座舱/声场分区控制/声强控制/自适应算法Key words
acoustics/inlelligent cabin/sound field zoning control/sound intensity control/adaptive algorithm分类
通用工业技术引用本文复制引用
曾志鹏,黄双,郭辉,王岩松,袁涛,刘宁宁..声强控制的智能座舱自适应声场分区算法[J].噪声与振动控制,2026,46(1):34-40,7.基金项目
国家自然科学基金(51905331) （51905331）
SUES青年科研团队培养计划基金(QNTD202112) （QNTD202112）
上海市新能源汽车振动与噪声评价与控制技术专业服务平台项目(18DZ2295900) （18DZ2295900）
