Study on Active Noise Control of Blower in Fuel Cell Vehicle under Transient Conditions 2015-01-2218
Blower is one of the main noise sources of fuel cell vehicle. In this paper, a narrowband active noise control (ANC) model is established based on adaptive notch filter (ANF) to control the high-frequency noise produced by the blower. Under transient conditions, in order to reduce the frequency mismatch (FM) of ANC for blower, a new Frequency Mismatch Filtered-Error Least Mean Square algorithm (FM-FELMS) is proposed to attenuate blower noise under transient conditions. According to the theoretical analysis and simulation, the proposed algorithm has an excellent noise reduction performance at relatively high blower speed. While for the low speed working condition, the Normalized Least Mean Square (NLMS) algorithm is applied to attenuate noise. The two algorithms could be jointly utilized to control the blower noise actively.
Citation: Zuo, S., Zhang, J., Wu, X., Hu, J. et al., "Study on Active Noise Control of Blower in Fuel Cell Vehicle under Transient Conditions," SAE Int. J. Passeng. Cars - Mech. Syst. 8(3):873-881, 2015, https://doi.org/10.4271/2015-01-2218. Download Citation
Author(s):
Shuguang Zuo, Jun Zhang, Xudong Wu, Jiajie Hu, Guo Long
Affiliated:
Tongji University
Pages: 9
Event:
SAE 2015 Noise and Vibration Conference and Exhibition
ISSN:
1946-3995
e-ISSN:
1946-4002
Also in:
SAE International Journal of Passenger Cars - Mechanical Systems-V124-6EJ, SAE International Journal of Passenger Cars - Mechanical Systems-V124-6
Related Topics:
Fuel cell vehicles
Mathematical models
Noise
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