基于小环境舱测试的实际车内VOC浓度预测

Translated title of the contribution: Prediction of In-Vehicle VOC Concentrations Based on Small-Scale Chamber Test

Haimei Wang, Liping Tong, Jianyin Xiong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Volatile organic compounds (VOC) emitted from vehicle interior decorations seriously affect the in-cabin air quality. The emission characteristics of VOC from vehicle materials are mainly characterized by three key emission parameters: the initial emittable concentration C0, the diffusion coefficient Dm and the partition coefficient K. In this paper, a ventilated-chamber C-history method was used to determine three key parameters of six target VOC emitted from several typical vehicle interior decorations, and investigate the influence of temperature on them. To predict the concentration of VOC emitted from multi-source materials coexisted in the vehicle cabin, a multi-source model was established, and to simulate the real vehicle environment, a 3 m3 experimental system was established for verification experiments. The good agreement between the simulations and experiments demonstrates that the key emission parameters determined via small-scale chamber tests can be used to assess emission scenarios for real vehicle cabin environments.

Translated title of the contributionPrediction of In-Vehicle VOC Concentrations Based on Small-Scale Chamber Test
Original languageChinese (Traditional)
Pages (from-to)145-151
Number of pages7
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume42
Issue number2
DOIs
Publication statusPublished - Feb 2022

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