Publication Date
2026
College
College of Natural Resources & Sciences
Department
Mathematics & Data Science
Document Type
Poster
Description
This study develops a continuous-time model of smartphone battery discharge incorporating activity-dependent current demand and temperature-driven degradation. Simulations evaluate battery performance under common usage scenarios and varying states of health. Results indicate that high-energy activities significantly accelerate depletion, while battery aging and elevated temperatures reduce overall runtime. Model predictions align with benchmark data and observed usage patterns, demonstrating the framework’s ability to replicate realistic discharge behavior. The model provides a practical approach for estimating battery life and assessing the impact of user behavior and thermal conditions.