A Method to Enhance Cabin Air Quality with Energy Efficiency in parallel for AC System in Electric Vehicle

During air conditioning (AC) operation in electric vehicles (EVs), cabin air is predominantly recirculated to reduce heating and cooling loads. However, prolonged recirculation leads to deteriorated cabin air quality. Simply introducing fresh air to improve air quality is inefficient, as external air conditions are unpredictable and may negatively affect energy consumption. Moreover, even in recirculation mode under low ambient temperatures, energy usage increases due to the dual operation of the electric compressor (e-Compressor) and the Positive Temperature Coefficient (PTC) heater. In this dual-mode scenario, the e-Compressor maintains a low evaporator temperature for effective air dehumidification, while the PTC heater supplies sensible heating to achieve the desired cabin comfort. This combination results in higher energy consumption, presenting challenges in optimizing both air quality and energy efficiency in EV climate control systems. This work tries to control overall cabin air quality using plurality of sensors (ambient, humidity, air quality) inside and outside the car and uses a control mechanism to predict and control air inlet operations to achieve always better cabin air quality with reduced power consumption.