School of Automobile and Transportation, Xihua University, Chengdu, 610039, China.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Sci Rep. 2022 Sep 2;12(1):15014. doi: 10.1038/s41598-022-19261-x.
Under the background of automobile intelligence, cockpit comfort is receiving increasing attention, and intelligent cockpit comfort evaluation is especially important. To study the intelligent cockpit comfort evaluation model, this paper divides the intelligent cockpit comfort influencing factors into four factors and influencing indices: acoustic environment, optical environment, thermal environment, and human-computer interaction environment. The subjective and objective evaluation methods are used to obtain the subjective weights and objective weights of each index by the analytic hierarchy process and the improved entropy weight method, respectively. On this basis, the weights are combined by using the game theory viewpoint to obtain a comprehensive evaluation model of the intelligent automobile cockpit comfort. Then, the cloud algorithm was used to generate the rank comprehensive cloud model of each index for comparison. The research results found that among the four main factors affecting the intelligent automobile cockpit comfort, human-computer interaction has the greatest impact on it, followed by the thermal environment, acoustic environment, and optical environment. The results of the study can be used in intelligent cockpit design to make intelligent cockpits provide better services for people.
在汽车智能化的背景下，座舱舒适性受到越来越多的关注，智能座舱舒适性评价尤为重要。为了研究智能座舱舒适性评价模型，本文将智能座舱舒适性影响因素分为四个因素和影响指标：声环境、光环境、热环境和人机交互环境。采用主观和客观评价方法，通过层次分析法和改进的熵权法分别得到各指标的主观权重和客观权重。在此基础上，运用博弈论观点对权重进行组合，得到智能汽车座舱舒适性的综合评价模型。然后，采用云算法生成各指标的等级综合云模型进行比较。研究结果发现，在影响智能汽车座舱舒适性的四个主要因素中，人机交互对其影响最大，其次是热环境、声环境和光环境。研究结果可用于智能座舱设计，使智能座舱为人们提供更好的服务。
