Week 7 State of charge estimation

Here we have to study the mat lab file which is given and we must prepare a report for it analysis.

The citation for the file is given as follows. Chirag (2021). Design and Test Lithium-Ion Battery Management Algorithms (https://www.mathworks.com/matlabcentraVfileexchange/72865-design-and-test-lithium-ion-battery-management-algorithms), MATLAB Central File Exchange. Retrieved May 2, 2021.

This example project can be used as a reference design to get started with designing a Lithium-Ion Battery Management System (BMS) with MATLAB and Simulink. The project includes Simulink models for BMS Algorithms such as State of Charge estimation using Extended Kalman Filter, Unscented Kalman Filter Passive Battery Cell Balancing State Machine for Pre-charging and Contactor Management Fault Management - Over/Under Voltage, Over Current, Over Temperature etc.\

Charge and Discharge Current Limit Calculations To design and test these algorithms, the project also includes files for Li-ion Battery Cell Parameter Estimation

This system does the estimation by the coulomb counting equation mentioned above. Temperature and current from the battery are given as inputs. The current signal is given to a gain block and temperature is given to capacity since it varies according to temperature. These inputs are given for integration where the current will be integrated with respect to time. This output is given to another block where it is divided by capacity. This results in soc estimation.