Charging station location finding using Estimated Distance to Empty Prediction Algorithm
Yamini V.1, Ajayan S.2
1Yamini V., Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
2Ajayan S., Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3764-3770 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7115038620/2020©BEIESP | DOI: 10.35940/ijrte.F7115.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sometimes, Solar Electric Vehicles (SEV) drain out of power and stops in the middle of the journey. To overcome this problem, SEV is upgraded with on-board and off-board charging facilities. This paper proposes a prediction algorithm that considers solar power and battery power to find out the distance the vehicle can travel, thus helping the vehicle driver to stop at a charging station to charge the vehicle. The proposed algorithm is simulated for various driving cycles and results are presented and discussed.
Keywords: Electric Vehicles, Solar panels, Charging facilities, Range estimation, Prediction algorithm.
Scope of the Article: Algorithm Engineering.