基于SVM方法的车内乘员热感觉评价
首发时间:2019-09-24
摘要:汽车乘员舱内乘员热感觉的评价模型是研究汽车热环境以及车内乘员热舒适性的重要工具。为了在整车开发设计阶段,对车内热环境进行评价及优化,研究了车内热环境的乘员热感觉评价方法。通过真实环境下车内乘员热感觉主客观试验,获得了汽车空调制热期间乘员舱内热环境以及车内乘员主观热感觉的变化情况,发现乘员舱内热环境在水平及垂直方向均呈现出瞬态不均匀分布。根据试验结果,利用支持向量机(Support Vector Machine,SVM)方法以乘员舱内客观参量(人体周围空气温度、车内湿度、黑球辐射温度、人体基础新陈代谢率、服装热阻)为预测变量建立了人体局部动态热感觉评价模型。采用均方根误差(MSE)和可决系数(R2)对评价模型的预测效果进行了量化分析,结果表明该评价模型能有效预测车内人体各部位的动态热感觉。
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Thermal sensation evaluation of passengers in vehicle based on SVM method
Abstract:The evaluation model of the occupant\'s thermal sensation in cabin is an important aspect to study the thermal environment of the car and the comfort of the occupants in it. Through the subjective and objective tests of the occupant\'s thermal sensation in the real environment, the distribution and change of the thermal environment in the passenger compartment when heating through air-conditioning were tested, and the subjective thermal sensation of each part of the occupant was evaluated. According to the experimental results, the thermal environment of the passenger cabin and the subjective thermal sensation of the occupant were analyzed. It was found that the thermal environment in the passenger compartment showed transient inhomogeneity in the horizontal and vertical directions, and the subjective thermal sensation scoring rule of the occupant is basically the same as the air temperature distribution in the passenger compartment. The support vector machine(SVM) method was used to establish a dynamic thermal sensation evaluation model of the human body with those objective parameters (eg: air temperature around the human body, humidity in the vehicle, radiation temperature of the black sphere, metabolic rate of the human body, thermal resistance of the garment) in the cabin. The root mean square error (MSE) and the determinable coefficient (R2) were used to quantify the prediction effect of the evaluation model.The evaluation model can effectively predict the dynamic thermal sensation of various parts of the human body in the passenger compartment of the vehicle.
Keywords: Vehicle engineering Thermal comfort evaluation model Support vector machine Subjective evaluation
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