将热受体反应纳入局部感觉模型,以考虑冷热过渡期间的设定点适应
Gineesh Gopi1, Jung Kyung Kim2
1Department of Mechanical Engineering, Graduate School, Kookmin University, Seoul, 02707, Republic of Korea.
Journal of thermal biology
|September 2, 2025
概括
一个新的基于热感应器的局部感觉 (LS) 模型改善了电池电动汽车 (BEV) 在冬季的舒适性预测. 这种方法提高了供暖,通风和空调系统 (HVAC) 的能源效率.
科学领域:
- 热舒适度建模
- 用户为中心的HVAC控制
- 电池电动汽车 (BEV) 的热管理
背景情况:
- 伯克利舒适模型对于寒冷,短暂的条件是有效的,但对于局部感觉 (LS) 预测需要准确的设定点适应.
- 整合舒适度和温度调节模型对于电动汽车的节能HVAC战略至关重要,以便广泛采用.
- 由于热受体相互作用,LS模型中的设定点适应是复杂的.
研究的目的:
- 评估一种基于热感受器响应的新型局部感觉 (LS) 模型,用于预测BEV中的热舒适度.
- 提高在电动汽车中以乘客为中心的冬季调节的舒适性模型的准确性和适用性.
- 在LS建模中探索明确设定点和设定点适应定义的替代方案.
主要方法:
- 开发了一种新的LS模型,其中包含冷和热敏感热感受器反应.
- 使用模拟冬季条件的发展数据集 (数据集A) 的回归模型系数.
- 在独立测试数据集 (数据集B) 上验证模型,以评估性能和通用性.
主要成果:
- 基于受体反应的LS模型在数据集A中显示出合理的匹配 (R2: 0. 650. 92,RMSE: 0. 290. 59).
- 在数据集B的验证中,R2值为中度至强度 (0.530.78),RMSE值为0.50.92.
- 拟议的模型在所有车身部分的表现都超过了原来的伯克利LS模型,显示出更高的准确性.
结论:
- 基于热感应的LS模型提供了一个可行的替代方案,用于预测冬季BEV的热舒适度.
- 这种框架可能消除了LS模型中明确设定点和设定点适应参数的需要.
- 这项研究为优化电动汽车的局部加热和空调战略提供了有希望的解决方案,以提高能源效率和乘客舒适度.
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