{"title":"基于现场实验的车内整体热感和舒适度预测模型","authors":"Xin Xu, Lanping Zhao, Zhigang Yang","doi":"10.1007/s12239-024-00147-y","DOIUrl":null,"url":null,"abstract":"<p>Vehicle thermal comfort has received more attention due to advancements in autonomous driving and intelligent cabin technology. Prediction of thermal comfort is challenging due to the passenger compartment's complex transient non-uniform thermal environment. Many thermal comfort models are primarily based on environmental or human thermal physiology factors, but too many temperature measurements may affect driving behavior. This study analyzed the correlations between local thermal sensation (LTS), local thermal comfort (LTC), the thermal environment in an automobile's cabin, and skin temperature. The optimal combination of influencing factors was established in the prediction model of overall thermal sensation (OTS) and overall thermal comfort (OTC) in the vehicle cabin. The results indicated that breathing air and chest skin surface temperature had the best correlation with subjective human evaluation. The prediction models of OTS and OTC have good prediction performance, and their R<sup>2</sup> values are 0.77 and 0.51, respectively. Accurately predicting the thermal comfort in the vehicle provides a valuable reference for intelligent cabin thermal environment control and automobile energy savings.</p>","PeriodicalId":50338,"journal":{"name":"International Journal of Automotive Technology","volume":"72 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction Models of Overall Thermal Sensation and Comfort in Vehicle Cabin Based on Field Experiments\",\"authors\":\"Xin Xu, Lanping Zhao, Zhigang Yang\",\"doi\":\"10.1007/s12239-024-00147-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Vehicle thermal comfort has received more attention due to advancements in autonomous driving and intelligent cabin technology. Prediction of thermal comfort is challenging due to the passenger compartment's complex transient non-uniform thermal environment. Many thermal comfort models are primarily based on environmental or human thermal physiology factors, but too many temperature measurements may affect driving behavior. This study analyzed the correlations between local thermal sensation (LTS), local thermal comfort (LTC), the thermal environment in an automobile's cabin, and skin temperature. The optimal combination of influencing factors was established in the prediction model of overall thermal sensation (OTS) and overall thermal comfort (OTC) in the vehicle cabin. The results indicated that breathing air and chest skin surface temperature had the best correlation with subjective human evaluation. The prediction models of OTS and OTC have good prediction performance, and their R<sup>2</sup> values are 0.77 and 0.51, respectively. Accurately predicting the thermal comfort in the vehicle provides a valuable reference for intelligent cabin thermal environment control and automobile energy savings.</p>\",\"PeriodicalId\":50338,\"journal\":{\"name\":\"International Journal of Automotive Technology\",\"volume\":\"72 1\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Automotive Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12239-024-00147-y\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automotive Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12239-024-00147-y","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Prediction Models of Overall Thermal Sensation and Comfort in Vehicle Cabin Based on Field Experiments
Vehicle thermal comfort has received more attention due to advancements in autonomous driving and intelligent cabin technology. Prediction of thermal comfort is challenging due to the passenger compartment's complex transient non-uniform thermal environment. Many thermal comfort models are primarily based on environmental or human thermal physiology factors, but too many temperature measurements may affect driving behavior. This study analyzed the correlations between local thermal sensation (LTS), local thermal comfort (LTC), the thermal environment in an automobile's cabin, and skin temperature. The optimal combination of influencing factors was established in the prediction model of overall thermal sensation (OTS) and overall thermal comfort (OTC) in the vehicle cabin. The results indicated that breathing air and chest skin surface temperature had the best correlation with subjective human evaluation. The prediction models of OTS and OTC have good prediction performance, and their R2 values are 0.77 and 0.51, respectively. Accurately predicting the thermal comfort in the vehicle provides a valuable reference for intelligent cabin thermal environment control and automobile energy savings.
期刊介绍:
The International Journal of Automotive Technology has as its objective the publication and dissemination of original research in all fields of AUTOMOTIVE TECHNOLOGY, SCIENCE and ENGINEERING. It fosters thus the exchange of ideas among researchers in different parts of the world and also among researchers who emphasize different aspects of the foundations and applications of the field.
Standing as it does at the cross-roads of Physics, Chemistry, Mechanics, Engineering Design and Materials Sciences, AUTOMOTIVE TECHNOLOGY is experiencing considerable growth as a result of recent technological advances. The Journal, by providing an international medium of communication, is encouraging this growth and is encompassing all aspects of the field from thermal engineering, flow analysis, structural analysis, modal analysis, control, vehicular electronics, mechatronis, electro-mechanical engineering, optimum design methods, ITS, and recycling. Interest extends from the basic science to technology applications with analytical, experimental and numerical studies.
The emphasis is placed on contributions that appear to be of permanent interest to research workers and engineers in the field. If furthering knowledge in the area of principal concern of the Journal, papers of primary interest to the innovative disciplines of AUTOMOTIVE TECHNOLOGY, SCIENCE and ENGINEERING may be published. Papers that are merely illustrations of established principles and procedures, even though possibly containing new numerical or experimental data, will generally not be published.
When outstanding advances are made in existing areas or when new areas have been developed to a definitive stage, special review articles will be considered by the editors.
No length limitations for contributions are set, but only concisely written papers are published. Brief articles are considered on the basis of technical merit.