Optimization of in-Vehicle Carbon Dioxide Level in a 5-Seat Car

The air quality in a car’s cabin can be five times worse than that of residential and non-residential buildings, resulting variety health issues, such as headache, sore throat, nausea, which are all symptoms in-vehicle pollution. monitoring carbon dioxide, is one the principal pollutants car cabins, required before regulating it. current research focused on recording dioxide levels for different human load, speed, temperature. A statistical analysis plots were obtained recorded responses to determine parameters minimum value level five-seat cabin. Three algorithms (generalized reduced gradient (GRG), response surface methodology (RSM), Genetic Algorithm (GA)) successfully used 5-seat optimize level. GRG method provided 471.531 ppm one-human load at an speed 2 m/s temperature 24 °C. For varying loads 2,3,4, 5, GA methods 508.785 ppm, 580.722 659.839 769.016 respectively. Comparing three techniques, RSM 471.876 508.865 580.79 659.905 769.362 1, 2, 3, 4, This study will provide platform researchers working indoor characteristics apply soft computing techniques effectively evaluation comfortable healthy environments benefit passengers cabins.