China Mechanical Engineering ›› 2024, Vol. 35 ›› Issue (11): 2082-2089.DOI: 10.3969/j.issn.1004-132X.2024.11.020

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Active Order Noise Control of Hybrid Electric Vehicles Based on Variable Order Notch Filter Algorithm

ZHOU Xuelian1;HE Yansong1;SU Hongjian2;LIN Weixiong2;GUO Lin2;FU Xiaoyu1   

  1. 1.College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing,400030
    2.Dongfeng Liuzhou Automobile Co.,Ltd.,Liuzhou,Guangxi,545000

  • Online:2024-11-25 Published:2024-12-18

基于可变阶陷波算法的混合动力汽车阶次噪声主动控制

周雪莲1;贺岩松1;苏宏健2;林伟雄2;郭林2;傅小宇1   

  1. 1.重庆大学机械与运载工程学院,重庆,400030
    2.东风柳州汽车有限公司,柳州,545000
  • 作者简介:周雪莲,女,1999年生,硕士研究生。研究方向为汽车振动与噪声控制。E-mail:202132021084t@cqu.edu.cn。

Abstract:  For the issues of decreased effectiveness in active noise reduction under acceleration conditions with rich and varying orders in the working speeds of hybrid electric vehicle engines, a variable order notch filter-x least mean square(VOFxLMS) algorithm was proposed, and a corresponding multi-channel active engine noise control system was established. In MATLAB/Simulink, the multi-channel active engine noise control simulation model was constructed for a seven-seat hybrid multi-purpose vehicle(MPV), by utilizing the actual vehicle acoustic path, in-cabin noise, and engine speed signals, two algorithms were employed for noise reduction simulation and comparison. Simulation results indicate that the proposed VOFxLMS algorithm may effectively reduce noise for specific orders at various charging speed points. Compared to the traditional notch FxLMS algorithm, the proposed VOFxLMS algorithms overall noise reductions at the left and right ears of the drivers seat and the third-row left seat are increased by 28.5%, 60%, 50% and 50%, respectively. The noise reduction effectiveness of the active engine noise control system employing the VOFxLMS algorithm was verified through on-road tests during acceleration conditions at speeds ranging from 70 to 100 km/h, and the system demonstrates effective suppression across various engine orders, including 2nd, 5th, 5.5th, 6th, 6.5th, 7th, and 8th orders.

Key words:  , hybrid electric vehicle, engine noise, notch filter-x least mean square(FxLMS) algorithm, active noise control

摘要: 针对混合动力汽车发动机多工作转速下阶次丰富且变化所导致的并联加速工况主动降噪效果下降问题,提出了一种可变阶陷波FxLMS算法,并建立相应的多通道发动机噪声主动控制系统。在MATLAB/Simulink中针对某七座混动MPV车搭建多通道发动机噪声主动控制仿真模型,使用实车声学路径、各工况车内噪声及发动机转速信号,对两种陷波FxLMS算法进行降噪仿真和比较,仿真结果表明,可变阶陷波FxLMS算法可以针对各充电转速点特定的阶次进行降噪,相比于传统的陷波FxLMS算法,主驾及第三排左、右耳4个位置处的总体降噪量分别提高了28.5%、60%、50%及50%。通过实车试验验证了在70~100 km/h加速工况下采用可变阶陷波FxLMS算法的发动机主动噪声控制系统的降噪效果,该系统对2阶、5阶、5.5阶、6阶、6.5阶、7阶和8阶的发动机噪声均表现出良好抑制作用。

关键词: 混合动力汽车, 发动机噪声, 陷波FxLMS算法, 噪声主动控制

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