Project Breakdown Details

Steps to Use Battery Charge/Discharge Data in Excel in the Project:

Step 1: Understand the Data Structure
Understand the structure of the data, such as:

Time-stamped data (e.g., timestamp, current, voltage, temperature).
Voltage and current readings over time for charge and discharge.
Discharge cycles or charging phases (constant current or constant voltage).
Thresholds like over-voltage, under-voltage, or temperature data.

Step 2: Import Data into Your Code
Import the Excel data into programming environment C/C++, Python (I used Python).

Step 3: Data Preprocessing
Before using the data in algorithms, we need to preprocess it:

Remove or fill missing data: If your data has gaps, handle them by either filling in values or removing those rows.
Time synchronization: Ensure the time intervals between data points are consistent, or interpolate if necessary.
Units conversion: Make sure that the units of current, voltage, and temperature are consistent with algorithm's requirements.

Step 4: Simulate Charging/Discharging Algorithm
Using the imported data, you can simulate the charge/discharge process and validate your BMS control algorithms.

  4.1 Charge Algorithm Simulation: Use voltage and current data to simulate the charging process.

  Calculate the SOC (State of Charge) by integrating the current over time:


  4.2 Discharge Algorithm Simulation: Use the voltage data and check against the predefined minimum voltage to simulate the discharge process.

  If the battery voltage falls below a threshold (e.g., 3.0V), stop discharging.
  
  4.3 Safety Mechanisms: Add safety checks based on the voltage and temperature data:

  If voltage exceeds a maximum safe limit (e.g., 4.2V), stop charging.
  If temperature exceeds a threshold (e.g., 45°C), reduce charging current.

Step 5: Charge/Discharge Control Logic
Use the imported data to trigger different phases of charging and discharging:
Constant Current (CC) phase: When the voltage is below the maximum cutoff, maintain a constant charging current.
Constant Voltage (CV) phase: When the voltage reaches the maximum threshold (e.g., 4.2V), switch to constant voltage mode and reduce the charging current.

Step 6: Visualization 
For a better understanding of the results, visualize the data and algorithm's output:

Plot the voltage, current, and SOC (State of Charge) vs time.
Plot charging/discharging phases and safety mechanism activations.

Step 7: Testing and Validation
After integrating the data into the project:

Test if the SOC estimation, safety algorithms, and charging/discharging controls work as expected with the real-world data.
Check if charging algorithm correctly switches between CC and CV phases.
Validate the system’s response to safety thresholds for over-voltage, under-voltage, and temperature.


Conclusion: 

By using the exported battery charge/discharge data, we can effectively simulate real-world scenarios for your Battery Charge/Discharge Control Algorithm. The data will help you tune and test your algorithms and verify how your system performs with actual usage patterns.

This approach enables to:

Validate and enhance the robustness of your charging/discharging algorithms.
Test safety features using real battery data.
Visualize and report results to better understand your system’s behavior.