如今，汽车智能化水平显著提升，乘驾人员对座舱环境舒适性的精准调控需求也日益增强。传统的温控系统往往面临复杂环境响应滞后、个性化适配不足和能耗偏高的问题。将数学建模技术应用于智能温控系统，能够实现对车内热环境的科学描述与预测，是提升系统效能的关键途径。然而，高级建模带来的计算复杂度可能超出车载系统的实时处理能力限制。因此，本文就数学建模方法在汽车智能温控系统中的简化应用展开深入探讨，以期在保证核心温控性能和乘员满意度的前提下，显著减轻系统计算负担，从而为节能高效的智能温控实际应用提供参考。

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.