Decision System Design of Personalized Thermal Comfortable Intelligent Air Conditioning for Automobile Passenger Cabin

被引:0
|
作者
Luo Y. [1 ]
Liu P. [1 ]
Liu M. [1 ]
Piao C. [1 ]
Yuan P. [2 ]
Wan K. [2 ]
机构
[1] College of Automation, Chongqing University of Posts and Telecommunications, Chongqing
[2] Chongqing Changan Automobile Co. ,Ltd., Chongqing
来源
关键词
air conditioning system; automobile; intelligent decision-making; passenger cabin; personalized thermal comfortable;
D O I
10.19562/j.chinasae.qcgc.2024.06.018
中图分类号
学科分类号
摘要
In order to further improve the intelligence and comfort level of the air conditioning system of the automobile passenger cabins,a personalized intelligent air conditioning decision system design based on the thermal comfort theory is proposed in this paper. Firstly,the thermal comfort calculation method based on the predicted mean vote(PMV)and predicted percentage of dissatisfaction(PPD)theories is improved for the automobile passenger cabin. Furthermore,the thermal comfort features of passengers in the passenger cabin are extracted by using human portrait technology,and the theoretical calculation-based thermal comfort data set of the passenger cabin is constructed on the basis of experts' experience knowledge. Then,machine-learning algorithm is used to build the random forest decision-making model of personalized thermal comfort air conditioning system,so as to meet the intelligent decision-making requirements of personalized thermal comfort. Finally,the complete system framework and design are given. The test results show that the decision-making accuracy of the proposed system model is above 90%,and the results of real vehicle testing show that the proposed system can identify the characteristics of drivers and passengers to recommend personalized thermal comfort parameters in real time,which verifies the effectiveness and practical value of the decision-making method in this study. © 2024 SAE-China. All rights reserved.
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页码:1114 / 1124
页数:10
相关论文
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