Fault Cell Diagnosis of a Battery System

This Simulink model is designed to diagnose and detect faults in individual cells within a battery pack focusing on three parameters - V,I,T

This Simulink model is designed to diagnose and detect faults in individual cells within a battery pack, focusing on essential parameters such as voltage, current, and temperature. The model simulates various battery fault conditions like overcharging, undercharging, and temperature fluctuations, using advanced diagnostic algorithms. It employs state-of-health (SOH) estimation and fault detection techniques such as impedance spectroscopy and filtering methods to assess the health and performance of the battery cells.

The model allows for user customization of input parameters, enabling adjustments to battery capacity, charge/discharge rates, and environmental factors. Real-time monitoring and fault diagnostics are presented through graphical outputs such as voltage and current-time plots, aiding in easy interpretation of results.

This model is intended for researchers, engineers, and developers working in battery health management and energy storage systems, offering a robust platform for testing and developing fault detection strategies in battery technologies.

If the fault is diagnosed the cell reads 0 and if it is healthy it reads 1

Changes are always welcome...

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