<p>In response to the problem that the traditional compressor speed proportional-integral-derivative (PID) control method makes it difficult to precisely control the cabin temperature in variable working conditions and the increasing demand for cabin thermal environment control, a coordinated control strategy for winter cabin temperature management and air quality in electric vehicles has been proposed. The objectives of this strategy encompass two key aspects: enhancing the precision of cabin temperature control and ensuring fresh air quality within the cabin. Firstly, Simulation models for the heat pump air-conditioning system, cabin thermal environment, and air quality were systematically developed and rigorously validated against empirical data, which are based on the AMESim simulation platform. Subsequently, a thorough analysis was conducted to examine the influence of the fresh air flap's opening angle on cabin air quality and heating requirements, utilizing simulation methodologies. Furthermore, cabin temperature and CO₂ concentration control strategies were designed based on adaptive fuzzy PID and PID control algorithms, respectively. Through simulation tests, the control effects of the system were compared under various cabin temperature control strategies and ventilation control strategies. The results unequivocally demonstrate that the proposed collaborative control strategy excels in temperature control accuracy, air quality control effectiveness, and energy consumption. It achieves precise temperature control while ensuring fresh air within the cabin, thus fulfilling the dual objectives of the control strategy.</p> Graphical abstract <p></p>