Analysis of Technological Systems for Improving Drivers' Thermal Comfort

IF 1.8 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mert Duzgun, Bertug Ozarisoy, Hasim Altan, Sam Moshaver
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引用次数: 0

Abstract

This study investigates the integration of adaptive thermal comfort and indoor air quality (IAQ) systems in modern vehicles, emphasizing their impact on occupant well-being and automotive design innovation. The research examines state-of-the-art advancements in vehicle climate control technologies, from past developments to emerging smart thermal management solutions. It explores how artificial intelligence (AI), biometric monitoring, and energy-efficient climate control systems are transforming in-car comfort, ensuring dynamic adaptation to occupant needs while improving energy efficiency. A qualitative research methodology was adopted, incorporating explanatory and descriptive analysis. Data was collected through an extensive review of archival records, technical specifications, industry reports, and photographic sources to assess the evolution and effectiveness of thermal comfort technologies. The findings indicate that innovative HVAC and IAQ systems significantly enhance both driver and passenger comfort, leading to higher consumer demand for vehicles equipped with these technologies. Furthermore, the study highlights that future thermal comfort solutions will align with evolving user expectations, regulatory standards (such as ASHRAE-55 and EN-16798), and global sustainability goals. By bridging automotive engineering, human-centered design, and energy-efficient climate control, this study provides valuable insights into the next generation of intelligent vehicle comfort systems. The results offer a framework for optimizing thermal regulation strategies and demonstrate the potential of integrating adaptive climate control with AI-driven environmental sensing to enhance in-car experiences. Future research should focus on expanding AI-based climate personalization models and evaluating user perceptions of smart comfort technologies in real-world driving conditions.

Abstract Image

改善驾驶员热舒适度的技术系统分析
本研究探讨了自适应热舒适和室内空气质量(IAQ)系统在现代车辆中的集成,强调了它们对乘员福祉和汽车设计创新的影响。该研究考察了车辆气候控制技术的最新进展,从过去的发展到新兴的智能热管理解决方案。它探讨了人工智能(AI)、生物识别监测和节能气候控制系统如何改变车内舒适度,确保动态适应乘员需求,同时提高能源效率。采用定性研究方法,结合解释和描述分析。通过对档案记录、技术规范、行业报告和照片来源的广泛审查收集数据,以评估热舒适技术的发展和有效性。研究结果表明,创新的暖通空调和室内空气质量系统显著提高了驾驶员和乘客的舒适度,从而提高了消费者对配备这些技术的车辆的需求。此外,该研究还强调,未来的热舒适解决方案将与不断变化的用户期望、监管标准(如ASHRAE-55和EN-16798)以及全球可持续发展目标保持一致。通过将汽车工程、以人为本的设计和节能气候控制相结合,本研究为下一代智能汽车舒适系统提供了有价值的见解。研究结果为优化热调节策略提供了一个框架,并展示了将自适应气候控制与人工智能驱动的环境感知相结合以增强车内体验的潜力。未来的研究应侧重于扩展基于人工智能的气候个性化模型,并评估用户在现实驾驶条件下对智能舒适技术的感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.10
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0.00%
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审稿时长
19 weeks
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