Simulink Development for Battery State of Charge (SOC) Estimation
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In this document, we introduce the fundamental methodology for developing battery State of Charge (SOC) estimation using MATLAB/Simulink. SOC represents the current charge level of a battery and serves as one of its most critical parameters. Accurate SOC estimation enables better understanding of battery status and facilitates precise battery management systems. This article provides detailed steps and techniques for implementing battery SOC estimation in Simulink, including key algorithmic approaches such as Coulomb counting (current integration) and model-based methods like Kalman filtering. We'll demonstrate how to utilize Simulink blocks for battery modeling, voltage/current sensing, and SOC calculation algorithms, with emphasis on parameter configuration and real-time implementation considerations. The content aims to assist engineers in developing robust SOC estimation systems through practical Simulink implementation examples.
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