Experimental data set on the interior temperature of a vehicle (sedan): Measurements in hot-humid climate conditions in winter and spring.
Description
Based on experimental measurements, it has been observed that the internal temperature of a sedan varies significantly depending on its position (windshield, windows, and air conditioning console) in hot and humid climate conditions. These temperatures are also influenced by the external environment and seasonal changes. Additionally, they are affected by the type of interior ventilation. The obtained data evidence the greenhouse effect inside the vehicle, showing that temperatures in areas such as the windshield and rear window considerably exceed the ambient temperature. The main findings indicate that temperatures on surfaces exposed to the sun are highest, and the seasonal influence is evident, with higher interior temperatures in spring. The data distinguish between high surface temperatures and indoor air temperatures, highlighting the importance of heat transfer. This dataset is valuable for validating predictive thermal models, optimizing air conditioning and heating systems, improving vehicle comfort, and conducting safety studies that warn of the dangers of high internal temperatures. The data provide a detailed basis for understanding the complex interaction between climate and a vehicle's thermal environment and are a useful tool for automotive engineering, thermodynamics, and heat transfer research.
Files
Steps to reproduce
Data was collected using a controlled experimental method designed to accurately measure temperatures inside and outside a sedan. To this end, properly calibrated DS18B20 temperature sensors were connected to Arduino boards. The boards operated as data acquirers and were programmed to record sensor measurements at regular intervals. The generated data were grouped into Microsoft Excel (.xlsx) files, with one file per experiment. In addition to the temperature measurements, these files documented the conditions of each experiment, including the date and season. This methodological process ensures reproducibility of the research and allows other researchers to understand the origin and context of the data for their own use or verification.