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Abstract

There is no doubt that traffic noise has become one of the main sources of urban noise, and the electric bus, as an important means of transport frequently used by people in daily life, has a direct impact on the psychological and auditory health of passengers due to its interior noise characteristics. Consequently, studying electric bus sound quality is an important way to improve vehicle performance and comfort. In this paper, eight electric buses were selected and 64 noise samples were measured. Acoustic comfort was taken as an evaluation index, professionals were organized to complete the subjective evaluation tests for all noise samples based on rank score comparison (RSC). And nine psycho-acoustic objective parameters such as loudness, sharpness and roughness were calculated using ArtemiS software to establish the sound quality database of electric buses. Aiming at the practical application requirements of high-precision modeling of acoustic comfort in vehicles, this paper presented two improved extreme gradient boosting (XGBoost) algorithms based on grid search (GS) method and particle swarm optimization (PSO), respectively, with objective parameters and acoustic comfort as input and output variables, and established three regression models of standard XGBoost, GS-XGBoost and PSO-XGBoost through data training. Finally, the calculation results of three indexes of average relative error, square root error and correlation coefficient indicate that the proposed PSO-XGBoost model is significantly better than GS-XGBoost and standard XGBoost, with its prediction accuracy as high as 97.6 %. This model is determined as the evaluation model of interior acoustic comfort for this case, providing a key technical support for future sound quality optimization of electric buses.
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Authors and Affiliations

Enlai Zhang
1 2
Yi Chen
1
ORCID: ORCID
Liang Su
3
Ruoyu Zhonglian
1
Xianyi Chen
1
Shangfeng Jiang
1

  1. School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, China
  2. Xiamen Key Laboratory of Robot Systems and Digital Manufacturing, Xiamen, China
  3. Bus Engineering Research Institute, Xiamen King Long United Automotive Industry Co., Ltd, Xiamen, China
Keywords Mo2C MoO3 CO NaCl
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Abstract

In this work, influence of NaCl additive on the transformation process of MoO3 to Mo2C under pure CO atmosphere in the range of room temperature to 1170 K was investigated. The results showed that transformation of MoO3 to Mo2C can be roughly divided into two stages: the reduction of MoO3 to MoO2 (the first stage) and the carburization of MoO2 to Mo2C (the second stage). As to the first stage, it was found that increasing the content of NaCl (from 0 to 0.5 wt.%) was beneficial for the increase of reaction rate due to the nucleation effect; while when the content of NaCl increased to 2 wt.%, the reaction rate will be decreased in turn. As to the second stage, the results showed that reaction rate was decreased with the increase of NaCl, which may be due to the formation of low-melting point eutectic. The work also found that morphology of as-prepared Mo2C was irregular and particle size of it was gradually increased with increasing the NaCl content. According to the results, the possible reaction mechanism was proposed.
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Authors and Affiliations

Biao-Hua Que
1
ORCID: ORCID
Lu Wang
1 2
ORCID: ORCID
Bao Wang
3
ORCID: ORCID
Yi Chen
3
ORCID: ORCID
Zheng-Liang Xue
3
ORCID: ORCID

  1. Wuhan University of Science And Technology, Hubei Provincial Key Laboratory For New Processes of Ironmaking and Steelmaking, Wuhan 430081, China
  2. Foshan (Southern China) Institute For New Materials, Foshan 528200, Guangdong, China
  3. Wuhan University of Science and Technology, The State Key Laboratory of Refractories and Metallurgy, Wuhan 430081, China

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