Ai Based Fast and Effective Wireless Charging System for Electric Vehicles
Aim: The objective of this study is to evaluate and compare the performance of wired and wireless charging systems for electric vehicles in terms of efficiency, charging time, and energy losses. Materials and Methods: Comparison was done through 15 samples for both procedures. The wired charging system took a longer period to charge, with an average of 133.13 minutes, compared to the wireless system, which had a faster charging time, averaging 93.13 minutes. The sample size in both the methods is taken to be 15. Parameters taken were charging time, energy loss, and efficiency for the charging systems under test. Statistical analysis is carried out with 95% confidence interval and 0.05 % significance level. Results: There is a significant difference between the wireless and wired systems across all criteria. The average efficiency of the wireless system was around 93.8 %, while for the wired system, the average efficiency was much lower at 86.4 %. Shortened charging time by 40 minutes on an average, and low energy loss were observed in wireless charging. Thus, a statistical analysis confirmed that the differences were significant (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$p<0.05$</tex>). Conclusion: The efficiency of the wireless charging system is better than the wired charging system, and it's charging time is much faster, thus resulting in low energy loss for charging electric vehicles.
Authors
- S Gokul
- A Velliangiri
- Praveen Kumar Balachandran (ORCID: https://orcid.org/0000-0003-1561-1376)
- R Eswaramoorthi (ORCID: https://orcid.org/0009-0006-0858-3142)
- K Risanth
Publication Details
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1109/aimla63829.2025.11041317
- Citations
- 2
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.46