A CO₂ Sensing System for Automotive Intelligent Cabin with Temperature Compensation Method

To monitor the air quality within automobile cabins and ensure the safety and health of drivers and passengers, this paper designs an in-vehicle CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> sensing system capable of real-time detection and control of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> concentration. Due to the cabin temperature changes response of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> sensors, which can cause deviations in the detected CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> levels, a temperature compensation method is proposed to improve the system's detection accuracy and response performance. This method leverages the high computational efficiency, predictive power, and stability of multiple linear regression models, combined with the simplicity, fast computation speed, and real-time capabilities of the lookup table approach. By establishing a multiple linear regression model based on the actual values from the CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> sensor, a lookup table algorithm is generated to achieve the self-correcting temperature compensation. Experimental results demonstrate that this lookup table can accurately detect CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> concentrations and promptly initiate responsive actions, thereby preventing health risks associated with high CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> levels and enhancing driving safety.