驾乘舱非均匀热环境中人体热生理响应与主观热感觉相关性分析

doi:10.19562/j.chinasae.qcgc.2022.01.016

Abstract

Abstract:

Clarifying the correlation between occupants' physiological thermal response and thermal sensation is the imperative requirements for achieving the intelligent control of compartment thermal environment. In order to investigate the relationship between human thermal sensation and physiological thermal regulation， a passenger compartment climate test platform is constructed， a subjective thermal sensation evaluation is conducted， and a two-scale evaluation system for human thermal sensation is established through thermal sensation and thermal comfort tests. Then the physiological thermal responses including pulse rate， oxygen saturation of blood， blood pressure and skin temperature etc. are measured by the sensors the testees wear. The test data are processed and analyzed and the T check values indicate that the pulse rate and its changing rate show significant positive correlation with subjective thermal sensation with the Pearson correlation coefficient of 0.943 and 0.955 respectively； while the changing rate of mean arterial pressure and the changing rate of diastole pressure exhibit apparent negative correlation with subjective thermal sensation with the Pearson correlation coefficient of -0.955 and -0.948 respectively.

Key words: vehicles, passenger compartment, thermal sensation, thermal comfort, physiological responses

Weijian Li,Jiqing Chen,Fengchong Lan,Hailiang Xie. Analysis on the Correlation Between Human Physiological Thermal Responses and Subjective Thermal Sensation in Inhomogeneous Thermal Environment of Passenger Compartment[J].Automotive Engineering, 2022, 44(1): 131-141.

Figures/Tables 28

References 26

1	陈吉清，郑习娇，兰凤崇，等. 基于人体热调节模型的乘员舱热舒适性分析［J］.汽车工程， 2019， 41（6）： 723-730.
	CHEN Jiqing， ZHENG Xijiao， LAN Fengchong， et al. An analysis on thermal comfort in passenger compartment based on human thermal regulation model［J］. Automotive Engineering， 2019， 41（6）：723-730.
2	ZHANG H， ARENS E， HUIZENGA C， et al. Thermal sensation comfort models for non-uniform and transient environment： part I： local sensation of individual body parts［J］. Building and Environment， 2010， 45（2）：380-388.
3	TALEGHANI M， TENPIERIK M， KURVERS S， et al. A review into thermal comfort in buildings［J］. Renew Sust Energrev， 2013， 26（10）： 201-215.
4	CHAUDHURI T， ZHAI D， SOH Y C， et al. Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology［J］. Energy and Buildings， 2018， 166：391-406.
5	BOLINENI S， PARK S， NASYROV V， et al. Uniform segment-wise body parametric convection heat transfer coefficient model for sitting posture in vehicles［J］. Science & Technology for the Built Environment， 2016， 23（5）： 843–857.
6	ISHIGURO A ， HOKOI S ， TAKADA S ， et al. Thermal model of human body considering clothes and bedding during sleep［J］. Journal of Environmental Engineering， 2009， 636（636）：141-149.
7	CONG S， LIU Y， LIU J. The sleeping thermal comfort model based on local thermal requirements in winter［J］. Energy & Buildings， 2018， 173： 163-175.
8	FANG Z， LIU H， LI B， et al. Investigation of thermal comfort and the nozzle usage behaviour in aircraft cabins［J］. Indoor and Built Environment， 2019， 28（1）：118-131.
9	杨志刚，徐鑫，赵兰萍，等. 冬季夜间乘员舱内热环境及人体热舒适性研究［J］. 同济大学学报（自然科学版）， 2019， 47（3）： 408-413.
	YANG Z， XIN X U， ZHAO L， et al. Study on thermal environment and thermal comfort of passenger compartment in winter night［J］. Journal of Tongji University （Natural Science）， 2019， 47（3）： 408-413.
10	WU Y ， LIU H ， LI B ， et al. Behavioural， physiological and psychological responses of passengers to the thermal environment of boarding a flight in winter［J］. Ergonomics， 2018， 61（6）：796-805.
11	DANCA P， VARTIRES A， DOGEANU A. An overview of current methods for thermal comfort assessment in vehicle cabin［J］. Energy Procedia， 2016， 85：162-169.
12	ZHANG W， CHEN J， LAN F. Experimental study on occupant's thermal responses under the non-uniform conditions in vehicle cabin during the heating period［J］. Chinese Journal of Mechanical Engineering， 2014， 27（2）： 331-339.
13	ZHANG Z， WANG D， ZHANG C， et al. Electric vehicle range extension strategies based on improved AC system in cold climate-a review［J］. International Journal of Refrigeration， 2018， 88：141-150.
14	XIONG J， ZHOU X， LIAN Z， et al. Thermal perception and skin temperature in different transient thermal environments in summer［J］. Energy and Buildings， 2016， 128： 155-163.
15	王渝东，狄育慧，王丽娟，等. 渐变温度下耐寒和非耐寒人体热反应对比分析［J］. 建筑节能， 2018， 46（5）： 125-128.
	WANG Yudong， DI Yuhui， WANG Lijuan， et al. Thermal responses analysis of cold－resistant versus non cold－resistant human body in the gradient temperature environment［J］. Building Energy Efficiency， 2018， 46（5）： 125-128.
16	CHOI J H， LOFTNESS V， LEE D W. Investigation of the possibility of the use of heart rate as a human factor for thermal sensation models［J］. Building & Environment， 2012， 50： 165-175.
17	ZHOU Xin， XIONG Jing， LIAN Zhiwei， et al. Investigation of gender difference in human response to temperature step changes［J］. Physiology & Behavior， 2015， 151： 426-440.
18	WANG Z， YU H， JIAO Y， et al. Chinese older people’s subjective and physiological responses to moderate cold and warm temperature steps［J］. Building & Environment， 2019， 149： 526-536.
19	DANCA P， VARTIRES A， DOGEANU A. An overview of current methods for thermal comfort assessment in vehicle cabin［J］. Energy Procedia， 2016， 85：162-169.
20	QUAN J， LI X， LIN D， et al. Predictive model of local and overall thermal sensations for non-uniform environments［J］. Building & Environment， 2012， 51（May）：330-344.
21	CHEN C P， HWANG R L， CHANG S Y， et al. Effects of temperature steps on human skin physiology and thermal sensation response［J］. Building & Environment， 2011， 46（11）：2387-2397.
22	NAGANO K， TAKAKI A， HIRAKAWA M， et al. Effects of ambient temperature steps on thermal comfort requirements［J］. International Journal of Biometeorology， 2005， 50（1）：33.
23	WARE Y A， KHALIGHI B. Data-driven prediction of vehicle cabin thermal comfort： using machine learning and high-fidelity simulation results［J］. International Journal of Heat and Mass Transfer， 2019， 148：119083.
24	YE Y， LIAN Z， LIU W， et al. Experimental study on physiological responses and thermal comfort under various ambient temperatures［J］. Physiology & Behavior， 2008， 93：310-321.
25	台文琦，孙兴国，郝璐，等.年轻健康正常人单次精准功率运动前后脉搏波波形特征个体化分析研究［J］.中国应用生理学杂志，2021，37（1）：15-26.
	TAI W， SUN X， HAO L， et al. Individualization analysis of pulse wave shape characteristics before and after single precise power exercise in young healthy subjects［J］. Chinese Journal of Applied Physiology， 2021，37（1）：15-26.
26	陈良玉，张雅文，李媛媛，等.日常活动指脉氧监测在慢性阻塞性肺病评估管理中的价值探讨［J］.南京医科大学学报（自然科学版），2019，39（4）：544-549.
	CHEN L， ZHANG Y， LI Y， et al. The evaluation and management value research of monitoring oxygen saturation of patients with chronic obstructive pulmonary disease during daily activity［J］. Journal of Nanjing Medical University（Natural Sciences）， 2019， 39（4）：544-549.

[1]	SHEN Zhe, WANG Yi-Gang, YANG Zhi-Gang, LI Fang-Xu. [J]. , 2016, 38(12): 1440 -1445 .
[2]	ZENG Bi-Qiang, GAO Ji-Dong, PENG Wei, SUN Zhen-Dong. [J]. , 2016, 38(12): 1446 -1451 .
[3]	LIU Hui, WANG Xiao-Jie, XIANG Chang-Le. [J]. , 2016, 38(12): 1483 -1487 .
[4]	CHEN Wu-Wei, DENG Shu-Chao, HUANG He, XIE You-Hao. [J]. , 2016, 38(12): 1488 -1493 .
[5]	PENG Qian-Lei, GUI Liang-Jin, FAN Zi-Jie. [J]. , 2016, 38(12): 1500 -1507 .
[6]	DONG Zhu-Rong, ZHANG Xin, HU Song-Hua, QIU Hao. [J]. , 2017, 39(1): 79 -85 .
[7]	SHI Hai-Min, YU Xiao-Li, LU Guo-Dong, HUANG Yu-Qi, LIU Zhen-Tao, HUANG Rui. [J]. , 2017, 39(1): 102 -106 .
[8]	QIN Chao-Ju, YANG Zhen-Zhong, ZHANG Wei-Zheng, SONG Li-Ye, YUAN Yan-Peng. [J]. , 2017, 39(2): 133 -137 .
[9]	ZHANG Guan-Jun, ZHAO Xin-Feng, CAO Li-Bo. [J]. , 2017, 39(2): 150 -158 .
[10]	CAO Li-Bo, HU Yuan, YAN Ling-Bo, PENG Yu, SHI Xiang-南. [J]. , 2017, 39(2): 174 -180 .

男	年龄	体质量/kg	身高/cm	BMI
均值	25.4	66.0	172.4	22.1
极差	6	13	23.5	1.8

参数	设备	范围	精度
皮肤温度/℃	T型热电偶	-200 ~300	±0.1
血压/mmHg	袖式血压计	20-275	±5
脉率/（次·min^-1）	光学传感器	0-250	±2
血氧饱和度/%	光学传感器	70-100	±2

热响应	Pearson系数	p 值
PR	0.943	<0.001
PR-CR	0.955	<0.001
SpO₂	0.358	0.430
SpO₂ -CR	0.396	0.379
MAP	-0.835	0.019
BP_dia	-0.869	0.011
BP_sys	-0.852	0.015
MAP -CR	-0.955	<0.001
BP_dia -CR	-0.948	<0.001
BP_sys -CR	-0.815	0.025

参数	a	b	c	d	R²
MAP-CR	0.069 37	0.164 16	-1.869 53	0.852 60	0.97
PR-CR	0.119 85	0.155 20	0.886 34	-0.875 86	0.97

[1]	Lin Hu,Ziyi Gu,Danqi Wang,Fang Wang,Tiefang Zou,Jing Huang. Current Status and Trend of Automotive Safety Procedures/Programs [J]. Automotive Engineering, 2024, 46(2): 187-200.
[2]	Shurui Guan,Keqiang Li,Junyu Zhou,Jia Shi,Weiwei Kong,Yugong Luo. A Cooperative Lane Change Strategy for Intelligent Connected Vehicles Oriented to Mandatory Lane Change Scenarios [J]. Automotive Engineering, 2024, 46(2): 201-210.
[3]	Xinke Fu,Yingfeng Cai,Long Chen,Hai Wang,Qingchao Liu. Decision-Making for Autonomous Driving in Uncertain Environment [J]. Automotive Engineering, 2024, 46(2): 211-221.
[4]	Pangwei Wang,Cheng Liu,Yunfeng Wang,Mingfang Zhang. Multi-lane Trajectory Optimization for Intelligent Connected Vehicles in Urban Road Network [J]. Automotive Engineering, 2024, 46(2): 241-252.
[5]	Xu Hao,Xiantao Lu,Jing Yang,Yali Zheng,Hewu Wang. Modeling on the Penetration Rate of China's Commercial Vehicle Market: Taking Heavy-Duty Long-Haul Trucks as an Example [J]. Automotive Engineering, 2024, 46(2): 253-259.
[6]	Zhipeng Jiao, Jian Ma, Xuan Zhao, Kai Zhang, Dean Meng, Qi Han, Zhao Zhang. Research on Short-Time Test Cycle and Method Based on Electric Vehicle Braking Safety Detection [J]. Automotive Engineering, 2024, 46(1): 109-119.
[7]	Jiangxin Yuan, Liping He, Yaodong Li, Gang Li. Thermal Analysis and Optimization Design of a BMS Slave Unit for Electric Vehicles [J]. Automotive Engineering, 2024, 46(1): 128-138.
[8]	Liqun Lyu, Long Xu, Hang Yin, Yang Yang, Yunshan Ge. Research on Real-World NO _x Emission Analysis Methods for Heavy-Duty Diesel Vehicles [J]. Automotive Engineering, 2024, 46(1): 151-160.
[9]	Zheng Zuo,Yunpeng Wang,Bin Ma,Bosong Zou,Yaoguang Cao,Shichun Yang. Quantitative Evaluation and Analysis of On-board Network Components Risk Rate Based on AFC-TARA [J]. Automotive Engineering, 2023, 45(9): 1553-1562.
[10]	Jianping Hao,Yanzhao Su,Zhihua Zhong,Jin Huang. Service-Oriented Architecture and Service Scheduling Mechanism for Intelligent Vehicles [J]. Automotive Engineering, 2023, 45(9): 1563-1572.
[11]	Jizheng Liu,Zhenpo Wang,Fengchun Sun,Lei Zhang. Research on Delay Compensation Control for Heterogeneous Connected and Automated Vehicle Platoons [J]. Automotive Engineering, 2023, 45(9): 1573-1582.
[12]	Gaoshi Zhao,Long Chen,Yingfeng Cai,Yubo Lian,Hai Wang,Qingchao Liu,Chenglong Teng. Trajectory Prediction Technology Integrating Complex Network and Memory-Augmented Network [J]. Automotive Engineering, 2023, 45(9): 1608-1616.
[13]	Xin Shi,Jian Zhu,Xiangmo Zhao,Fei Hui,Junyan Ma. Car-Following Model for Connected Vehicles Based on Multiple Vehicles with State Change Features [J]. Automotive Engineering, 2023, 45(8): 1309-1319.
[14]	Xianglei Zhu,Zhixin Wu,Yufei Zhang,Shuai Zhao,Keqiu Li,Bohua Sun. Research on Scenario Library Optimization Method Based on Scenario Dimension Reduction and Sampling Method [J]. Automotive Engineering, 2023, 45(8): 1408-1416.
[15]	Qihui Hu,Yingfeng Cai,Hai Wang,Long Chen,Zhaozhi Dong,Qingchao Liu. Heterogeneous Multi-object Trajectory Prediction Method Based on Hierarchical Graph Attention [J]. Automotive Engineering, 2023, 45(8): 1448-1456.

Analysis on the Correlation Between Human Physiological Thermal Responses and Subjective Thermal Sensation in Inhomogeneous Thermal Environment of Passenger Compartment

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 28

References 26

Related Articles 15

Metrics

Comments

Recommended 10