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Modeling and Simulation of Lithium Ion Battery Charging

 

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Implementation Plan:
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Step 1: Initially, the model consists of a PV panel, Fuzzy Logic with MPPT Flyback controller, PI-controlled Buck boost converter with PWM, Lithium-ion battery model, and SOC limit logic (85% charging and 15% discharging) in Simulink.

Step 2: Then, we simulate the model and collect voltage, current, power and SOC data.

Step 3: Next, we analyze charging and discharging behavior at SOC limits based on the collected data.

Step 4: Next, we analyze MPPT tracking performance and boost converter effectiveness based on collected data.

Step 5: Next, we analyze PI-controlled buck converter performance and voltage stabilization effectiveness based on the collected data.

Step 6: Finally, we plot performance for the following metrics:

6.1 : Time vs Voltage (V)

6.2 : Time vs Current (A)

6.3 : Time vs Power (W)

6.4 : Time vs State of Charge (%)

Software Requirements:
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1. Development Tool: Matlab-R2023a/Simulink or above

2. Operating System: Windows 10 (64-bit) or above

Note:
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1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance.

2) Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.

3) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.

4) If the plan satisfies your requirement, Please confirm with us.

5) Project based on Simulation only.

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