This study focuses on the thermal management of intelligent temperature-controlled clothing in high intensity training environments. A comprehensive thermal management model, consisting of a heat transfer model and a smart temperature control system model, was constructed. This model encompasses sub-models such as heat conduction within the clothing layer, heat convection between the body, clothing, and the environment, thermal radiation, PCM, thermoelectric materials, and control systems. Simulations were performed using COMSOL Multiphysics software, setting various environmental parameters and exercise intensity conditions. Results revealed temperature distribution, heat transfer processes, and system response characteristics. For example, in a 35°C high temperature environment simulation, the intelligent temperature-controlled clothing stabilized human skin temperature at 33-34°C with a response time of less than 10 seconds. Experiments were also designed to validate the model. Ten athletes underwent training at varying intensities in a climate chamber, collecting data on temperature and physiological indicators. The average temperature error between the experimental and simulation models was 1.2°C, confirming the model's effectiveness. Further analysis of the impact of different training scenarios and exercise intensities on thermal management performance provides theoretical and data support for the design and optimization of intelligent temperature-controlled clothing.