电动汽车驾乘人员供暖局部热感觉权重分析
摘要：个性化供暖系统可以有效降低纯电动汽车冬季供暖能耗，为了合理设计个性化供暖系统，需要对驾乘人员的局部热感觉进行准确评价。通过纯电动汽车内个性化供暖(脚部加热、腿部加热、座椅加热及组合加热)试验，对驾乘人员的体表温度和热舒适情况进行了实测分析。结果表明：不同部位的加热，对人体整体热感觉的影响权重不同；局部热感觉的权重系数直接影响个性化供暖的设计和节能效果。通过现场实测和主观问卷调查，并采用主成分分析的方法，得到了个性化供暖方式下各局部热感觉对整体热感觉的影响权重系数。
关键词：个性化供暖电动汽车局部热感觉整体热感觉影响权重局部加热体表温度主成分分析
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[3] ZHANG H,ARENS E,ZHAI Y.A review of the corrective power of personal comfort systems in non-neutral ambient environments[J].Building and environment,2015,91:15- 41.
[4] CHENG Y D,NIU J L,GAO N P.Thermal comfort models:a review and numerical investigation[J].Building and environment,2012,47:13- 22.
[5] 贺德.工位辐射与风扇组合条件下人体热舒适性及能耗研究[D].长沙：湖南大学，2018:42- 43.
[6] YANG H C,CAO B,ZHU Y X.Study on the effects of chair heating in cold indoor environments from the perspective of local thermal sensation[J].Energy and buildings,2018,180:16- 28.
[7] 李甲，李念平，何颖东，等.电热坐垫和暖脚板作用下局部热舒适分析[J].暖通空调，2018,48(8):60- 67.
[8] 任雨婷.工位空调非均匀热环境人体热感觉评价研究[D].大连：大连理工大学，2016:66- 67.
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Weight analysis for local thermal sensation of occupants in electric vehicles
Abstract: The personalized heating system can effectively reduce the heating energy consumption of pure electric vehicles in winter. In order to reasonably design the personalized heating system, it is necessary to accurately evaluate the local thermal sensation of occupants in electric vehicles. In this paper, through the experiment of personalized heating(foot heating, leg heating, seat heating and combined heating) in a pure electric vehicle, the body surface temperature and thermal comfort of the occupant are measured and analysed. The results show that the heating of different parts has different weight of influence on the overall thermal sensation of human body. The weight coefficient of local thermal sensation directly affects the design and energy saving effect of personalized heating. Through the field measurement and subjective questionnaire survey, and using the method of principal component analysis, the influence weight coefficient of each local thermal sensation on overall thermal sensation is obtained under personalized heating mode.
Keywords: personalized heating; electric vehicle; local thermal sensation; overall thermal sensation; influence weight; local heating; body surface temperature; principal component analysis;
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