Nowadays, the level of automobile intelligence has been significantly improved, and the demand for precise control of cabin environment comfort by passengers is also increasing. Traditional temperature control systems often face the problems of lagging response to complex environments, insufficient personalized adaptation and high energy consumption. The application of mathematical modeling technology to intelligent temperature control systems can achieve scientific description and prediction of the thermal environment in the vehicle, which is a key way to improve system performance. However, the computational complexity brought by advanced modeling may exceed the limit of real-time processing capability of in-vehicle systems. Therefore, this paper explores the simplified application of mathematical modeling methods in automotive intelligent temperature control systems, in the hope of significantly reducing the computational burden of the system under the premise of ensuring the core temperature control performance and occupant satisfaction, so as to provide a reference for the practical application of energy-saving and high-efficiency intelligent temperature control.