MAJOR PROJECT on fuzzy logic controlled charger-1.pptx

Major project on fuzzy logic

1. MAJOR PROJECT Maharana Pratap engineering College, Mandhana Kanpur (209217) HEAD OF DEPARTMENT PRESENTED BY Mr. ANIL PATHAK MUSKAN SINGH (ELECTRICAL ENGINEERING) AMAN SINGH IRSHAD ANSARI RUDRESH SINGH

2. MAJOR PROJECT CONSTANT CURRENT WITH FUZZY LOGIC CONNECTED TO GRID ELETRICAL VHICLE CHARGING

3. TABLE OF CONTENT INTRODUCTION WHY NEED? REQUIRED SOFTWAE BLOCK DIAGRAM OUTPUT ADVANTAGES DISADVANTAGES APPLICATION CONCLUSION

4. INTRODUTION According to International Energy Agency, about 64% of global oil utilization originates from transport sector. The increase in fossil fuel demand, coupled with the upsurge in climate change, has led to control in the release of CO2 and NOx emissions. Eventually, there is an increase in the demand for clean sources of energy. Electric vehicles (EV) can help to reduce the menace related to climate change. Presently, a lot of research work is going on regrading EV and viability of designing the charging process through power grid connection. However, the charging system of EV needs to be improved considerably. Decrease in charging time is an important requirement in making EV easy to use.  

5. WHY NEED? The aim of the constant current fuzzy logic controller for grid-connected electric vehicle charging is to maintain a constant charging current and prevent fluctuations in the grid voltage. The controller regulates the current flow to the battery of the electric vehicle and protects it from overcharging or undercharging.

6. SOFTWARE REQUIRED MATLAB/SIMULATION: MATLAB is a programming platform designed specifically for engineers and scientists  to analyze and design systems and products that transform our world . The heart of MATLAB is the MATLAB language, a matrix-based language allowing the most natural expression of computational mathematics.

7. FUZZY LOGIC CONTROLLER Fuzzy logic control is a popular technique used in constant current controllers for electric vehicle charging. The fuzzy logic controller takes input variables such as battery voltage, battery current, and charging current and uses a set of fuzzy rules to determine the charging current required to maintain a constant current and regulate the voltage fluctuations in the grid.  

8. BLOCK DIAGRAM OF FLC

9. DESIGNE OF FLC

10. The Primary GUI Tools of the Fuzzy Logic Toolbox

11. EV charging system developed in MATLAB/Simulink

12. DC Regulator

13. DESIGNE PARAMETER

14. OUTPUT Fig.4. Voltage, current and SOC of EV1 battery during V2G operation

15. Fig.5. Active power profile of various components in the system

16. Fig.6. Variation in DC bus voltage

17. Fig.7. Reference current tracking by inverter controller

18. Fig.8.Grid voltage and grid injected currents during V2G-G2V

19. ADVANTAGES Precise Control Adaptability Fault Tolerance Optimized Charging Battery Health Management Grid Support User Flexibility Energy Efficiency

20. DISADVANTAGES Complexity Tuning Challenges Limited Transparency Performance Dependence on Rule Sets Difficulty in Formal Verification Limited Adaptability Resource Intensive Maintenance and Updates

21. APPLICATIONS Fast and Efficient Charging Grid-Friendly Charging Vehicle-to-Grid (V2G) Integration Fuzzy Logic for Adaptive Control Integration with Renewable Energy Sources Cybersecurity and Data Privacy

22. CONCLUSION In this project, the complete model of EV charging system with the utilization of fuzzy logic controller is presented. The complete simulation model has been developed in MATLAB /Simulink. The achieved simulation results show how easy FLC can be used in EV charging without the requirement for any tuning like with PI controller. In perspective of this work, experimental validation of the proposed scheme can be performed.

23. THANKYOU