An efficient technique for developing the active sound control system in electric vehicle

The sound characteristic is a critical metric to manifest the brand differentiation of electric vehicle (EV), and the sound design with more diverse acoustic characteristics has become a hot issue in current research of EV technology. In this paper, an efficient technique of active sound design (ASD) is explored to develop the control system of active sound generation (ASG) with powerful sound quality for EV. Firstly, an optimization algorithm of sound synthesis based on multi-frequency superimposition is proposed to improve the harmonic interference phenomenon in the synthesized sounds. Subsequently, an adaptive sound control strategy is formulated, where an iterative accumulation method is proposed to calculate the “virtual engine speed” of EV, and a gain table is presented to divide the running state. Besides, an ASG system is developed based on the proposed ASD technique. The tests result demonstrate that there are 18 target order sounds are reproduced perfectly, and the powerful sound quality interior EV is enhanced while the original interior acoustic environment of EV is retained, which confirms the effectiveness of the proposed control technique of ASG system. The proposed ASD technique here accelerates the change from silence to sound quality in the electric vehicles, which has important theoretical significance and engineering value.

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Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2024-09-09
DOI
https://doi.org/10.1177/09544070241273983
Citations
1
Primary Topic
Vehicle Noise and Vibration Control
Type
article
Field-Weighted Citation Impact
0.20

Funders

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article

An efficient technique for developing the active sound control system in electric vehicle

Yawei Zhu, Zhien Liu, Chihua Lu, Liping Xie et al.
1 citations
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Vehicle Noise and Vibration Control
0.20
article

An efficient technique for developing the active sound control system in electric vehicle

Yawei Zhu, Zhien Liu, Chihua Lu, Liping Xie, Yi Zhang
article en
1 citations

Abstract

The sound characteristic is a critical metric to manifest the brand differentiation of electric vehicle (EV), and the sound design with more diverse acoustic characteristics has become a hot issue in current research of EV technology. In this paper, an efficient technique of active sound design (ASD) is explored to develop the control system of active sound generation (ASG) with powerful sound quality for EV. Firstly, an optimization algorithm of sound synthesis based on multi-frequency superimposition is proposed to improve the harmonic interference phenomenon in the synthesized sounds. Subsequently, an adaptive sound control strategy is formulated, where an iterative accumulation method is proposed to calculate the “virtual engine speed” of EV, and a gain table is presented to divide the running state. Besides, an ASG system is developed based on the proposed ASD technique. The tests result demonstrate that there are 18 target order sounds are reproduced perfectly, and the powerful sound quality interior EV is enhanced while the original interior acoustic environment of EV is retained, which confirms the effectiveness of the proposed control technique of ASG system. The proposed ASD technique here accelerates the change from silence to sound quality in the electric vehicles, which has important theoretical significance and engineering value.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringVol. 239(10-11)
Ji Hua Laboratory (CN), Geely (China) (CN), Fuzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 51%
Vehicle Noise and Vibration Control
0.20
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An efficient technique for developing the active sound control system in electric vehicle — Yawei Zhu, Zhien Liu, et al. · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2024) | TGRS Research Map | TGRS