Battery Capacity Detection Model

This document presents my graduation thesis accomplishment—a battery capacity detection model developed using MATLAB 6.5. The model employs sophisticated algorithms to accurately estimate battery capacity, a critical parameter for evaluating performance and predicting service life. Through comprehensive literature review and empirical data analysis, I engineered a reliable and computationally efficient solution that enhances battery performance assessment across diverse applications. The implementation utilizes MATLAB's numerical computing capabilities for data processing and employs curve-fitting techniques to model battery discharge characteristics. Key functions include voltage-current correlation analysis and capacity degradation tracking algorithms. The model architecture allows for further customization and optimization to address specific industry requirements. Leveraging MATLAB 6.5's computational toolbox enabled the integration of advanced analytical methods, significantly improving the model's precision and operational reliability. This research constitutes a valuable contribution to battery technology field and provides a foundation for future innovations in energy storage system diagnostics.