Dynamic thermal energy management of intelligent sports equipment

With the development of intelligent sports equipment, the high intensity operation of its core components generates significant amounts of heat, impacting device stability and user experience. This paper constructs a thermal energy management model coupled with dynamic loads. Using a smart spinning bike (FitPro S7) as the research object, this paper analyzes the thermal storage characteristics of three energy storage materials (PCM-1, PCM-2, and EB-1) at different ambient temperatures (293 K, 303 K, and 313 K) and operating powers (100 W, 200 W, and 300 W) through experiments and simulations. Results show that PCM-2 achieves a significantly higher energy storage efficiency of 68.3% ? 1.2% at 303 K and 300 W than PCM-1 (p = 0.023). A variance analysis indicates that power has a 42% influence on energy storage efficiency, followed by material type (35%). The deviation between simulation and experimental results is 3.2%, validating the effectiveness of the model. This research provides theoretical support and solution reference for dynamic thermal management of intelligent sports equipment. This research provides manufacturers with actionable guidelines: PCM-2 is recommended for high power equipment (300 W) to maintain >65% efficiency, while the model enables optimizing cooling system design (e.g., heat sink size) to enhance device stability and user safety.