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Active Noise Control for Clay Model Side Window Wind Noise Based on LSTM
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Lina Huang1, 2, Dengfeng Wang1, Xiaolin Cao1, Yang He1, Bingtong Huang1, Xiaopeng Zhang1
Automotive Engineering | 2025, 47(1) : 168 - 177
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Automotive Engineering | 2025, 47(1): 168-177
Active Noise Control for Clay Model Side Window Wind Noise Based on LSTM
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Lina Huang1, 2, Dengfeng Wang1, Xiaolin Cao1, Yang He1, Bingtong Huang1, Xiaopeng Zhang1
Affiliations
  • 1. Jilin University，National Key Laboratory of Automotive Chassis Integration and Bionics，Changchun 130022
  • 2. School of Mechanical and Vehicle Engineering，Changchun University，Changchun 130022
Published: 2025-01-25 doi: 10.19562/j.chinasae.qcgc.2025.01.017
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When driving on highways，it's necessary to reduce wind noise in the side window areas of a vehicle. Low-frequency noise control of automobile wind noise can be achieved through Active Noise Control （ANC）. Therefore，an Active Wind Noise Cancellation （AWNC） method for automobile wind noise is proposed in this paper. The suitable input signal of the side window area is selected as the reference signal，which shows good coherence with the target noise in the 100-500 Hz frequency range. Taking a full-scale clay model of the vehicle in a wind tunnel as the research object，the reference signals for wind noise are optimized through the Long Short-Term Memory （LSTM） method. The optimized reference signals are then processed using the FxLMS algorithm for AWNC simulation and validated through hardware dSPACE testing. The results show that the optimized reference signals not only reduce the number of sensors needed，thus saving cost，but also decrease the peak frequency band of wind noise by 5-15 dB.

reference signal optimization  /  LSTM  /  active wind noise control  /  clay model  /  wind tunnel experiments
Lina Huang, Dengfeng Wang, Xiaolin Cao, Yang He, Bingtong Huang, Xiaopeng Zhang. Active Noise Control for Clay Model Side Window Wind Noise Based on LSTM[J]. Automotive Engineering, 2025 , 47 (1) : 168 -177 . DOI: 10.19562/j.chinasae.qcgc.2025.01.017
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Article Info
doi: 10.19562/j.chinasae.qcgc.2025.01.017
  • Receive Date：2024-03-22
  • Online Date：2025-07-20
  • Published：2025-01-25
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  • Received：2024-03-22
  • Revised：2024-05-13
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Affiliations
    1. Jilin University，National Key Laboratory of Automotive Chassis Integration and Bionics，Changchun 130022
    2. School of Mechanical and Vehicle Engineering，Changchun University，Changchun 130022
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