This document presents a study on optimal site selection and power flow analysis for electric vehicle charging in a parking infrastructure using wireless power transfer. It introduces the concepts of advanced driver assistance systems and their application to electric vehicles. A proposed model is described that uses fuzzy logic to select optimal parking slots based on vehicle position and orientation. Mathematical equations are provided for modeling the inductive power transfer circuit. Results show efficient power flow and optimal placement of vehicles in designated parking slots based on controller activation. Future work is suggested to improve controller design and provide more flexibility and reliability for wireless inductive charging in parking infrastructure.

1. Optimal Site Selection and Power Flow
Analysis for Electric Vehicles in a Car
Park Infrastructure
P. Ramani Ranjan Senapati, M.Tech Scholar
Dept. of Electronics and Control
SRM University
Chennai, India
Presented By:
Mr. J. Sam Jeba Kumar
Asst. Prof.,
Dept. of Instrumentation
and Control
SRM University
Chennai, India
Dr. A. Vimala Juliet
Prof. and Head,
Dept. of Electronics
and Instrumentation
SRM University
Chennai, India
Guided By:
ICIETET-2016

2. Outlines
• Introduction
• Mathematical Background
• System Description and Methodology
• Discussion of Results and Analysis
• Conclusion
• Future Work
• References
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3. Introduction
• Advanced Driver Assistance System (A-DAS)
• Application of A-DAS in Electric Vehicle (EV) and Plug in Electric
Vehicle (PEV)
• Requirement of Parking Infrastructure System for EVs and PEVs.
3

4. Wireless Power Transfer From Grid to Vehicle
4

5. Proposed Model
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6. Mathematical Background
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7. Contd..
• Calculation of Power in inductive Circuit
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• Input Voltage Input Current
• Coupling Coefficient Resonant Factor
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8. Practical Problem
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9. System Description and Methodology
Primary Variables
• Position of the Vehicle
• Orientation of the Vehicle
• Guiding Angle of Base
Secondary Variables
• Length and Width of
Parking Area
• Location and Orientation
of Parking Slot
• Vehicle Setup Position
• Structure of the Vehicle
• Covering Distance to Park
• Switching Technology
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ParkingAlignment

10. Membership Functions
 Position of the vehicle:
 left, left center, center, right center, right
 Orientation of the vehicle:
 left down, left, left up, up, right up, right, right
down
 Guiding angle of base:
 neg big, neg med, neg small, zero,
pos small, pos med, pos big
Input Variables Output Variables
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11. Power Flow Analysis
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12. Graphical Plot of Voltage and Current
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Power Factor
0.866

13. Placement of Variables in Parking Infrastructure
System
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14. Discussion of Results
14

15. Contd…
The Vehicle is
parked at Slot 3
and the respective
LED buttons are
becoming switched
ON.
15

16. Conclusion
• Optimal site selection for proper inductive coil alignment is achieved
through Fuzzy Logic Controller.
• No. of controllers required here is equal to the no. of parking slots.
• As per the availability of the slot, the respective controller will be
activated in the vehicle base.
• Power Flow analysis is designed in MATLAB, which shows the
efficient flow model of wireless inductive power transfer from Grid to
vehicle.
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17. Future Work
• Controller will be designed by considering the singleton variables.
• Fuzzy voltage controller and Fuzzy load controller should be designed
to control and monitor the constant power flow from the grid to the
vehicle as per the requirement.
• Design of whole setup will provide more flexibility and reliability to
the car parking infrastructure for electric vehicles inductive charging
process.
17

18. References
• Stewart A. Birrell, Daniel Wilson, Chek pin Yang, Gunwant Dhadyalla and Paul Jennings, “How
driver behaviour and parking alignment affects inductive charging systems for electric vehicles”,
ELSEVIER Transportation Research Part C, vol. 58, pp. 721-731, 2015.
• Tan Ma and Osama A. Mohammed, “Optimal charging of plug-in electric vehicles for a car park
infrastructure”, IEEE Transactions on Industry Applications, pp. 2323-2330, vol. 50, no. 4,
July/August 2014.
• Raffaela Riemann, David Z. W. Yang and Fritz Brush, “Optimal location of wireless charging
facilities for electric vehicles: Flow-capturing location model with stochastic user equilibrium”,
ELSEVIER Transportation Research Part C, vol. 58, pp. 1-12, 2015.
• Masoud Honarmond, Alireza Zakariazadeh and Shahram Jadid, “Integrated scheduling of
renewable generation and electric vehicles parking lot in a smart microgrid”, ELSEVIER Energy
Conversion and Management, vol. 86, pp. 745-755, 2014.
• Pinak J. Tulpule, Vincenzo Marano, Stephen Yurkovich and Giorgio Rizzoni, “Economic and
environmental impact of a PV powered work place parking garage charging station”, ELSEVIER
Applied Energy, vol. 108, pp. 323-332, 2013.
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19. Thank You
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