Student Research Symposium Program Portal: Submission #87
Submission information
Submission Number: 87
Submission ID: 7966
Submission UUID: c5cd9680-9375-4f68-b9f1-3c60e191bd76
Submission URI: /student-research/symposium/research-symposium-program-portal
Submission Update: /student-research/symposium/research-symposium-program-portal?token=oa9RwMKX4vSfKyRvv_56L5LQEqGdPzusCImzzim5aIQ
Created: Thu, 02/06/2025 - 10:04 PM
Completed: Thu, 02/06/2025 - 10:28 PM
Changed: Mon, 04/14/2025 - 01:21 PM
Remote IP address: 24.42.202.21
Submitted by: Anonymous
Language: English
Is draft: No
Webform: Research Symposium Program Portal WF
Submitted to: Student Research Symposium Program Portal
Primary Student Contact First Name: Rohan Nana, Nicholas Ni,
Primary Student Contact Last Name: Christian Rich, and Antonne Williams
Pronouns: {Empty}
Primary Student Contact FSU Student Email: rnana@fsu.edu
Photo of all individuals presenting this work: https://pc.fsu.edu/system/files/webform/research_portal/7966/IMG_6579.jpg
Major(s) of all individuals presenting this work: Electrical Engineering
Bio of all individuals presenting this work:
This capstone project was undertaken by a team of senior electrical and computer engineering students dedicated to advancing wireless charging technology for the electric and autonomous vehicle industry. The FSUPC Levicharge senior design team—Rohan Nana, Christian Rich, Nicholas Ni, and Antonne Williams—is eager to showcase how wireless charging can transform the EV industry.
Poster Title: Smart Wireless Charging
Abstract:
With the growing adoption and increasing market capitalization of electric vehicles (EVs) and autonomous systems, the development of innovative and user-friendly wireless charging solutions has become a critical priority. Current challenges with the technology include users needing to park perfectly over a transmitting coil, decreasing convenience and practicality. This project proposes an adaptively tuned wireless charging system that leverages machine learning for real-time tuning. The system will be fully automated, allowing users to monitor charging metrics remotely while eliminating the need for precise parking or vehicle alignment, as it will compensate for any coil misalignment. This technology aims to improve the way EVs are charged, enhancing user convenience and accessibility on a global scale.
Research Mentor Name: Dr. Saeed Rajput
Research Mentor's College (or High School): Florida State University
Research Mentor's Department (or Subject): Electrical and Computer Engineering
Research Mentor's Email: srajput@pc.fsu.edu
Additional Research Mentor(s): Dr. Walid Hadi
Co-presenter(s): {Empty}
Keywords: Wireless Charging, Electrical Engineering, Machine Learning
Poster Session/Number: C -3 R- 8
Work: Complete
Presentation Modality: Face to Face Poster session
Poster PDF: https://pc.fsu.edu/system/files/webform/research_portal/7966/Research%20Symposium%20WPT%20Poster%20%28revised%29.pdf
Poster Thumbnail: https://pc.fsu.edu/system/files/webform/research_portal/7966/Screenshot%202025-03-21%20141619.png
I will be printing my poster: No
Year: 2025
Annual description: 5th annual Undergraduate Research Symposium, April 17, 2025
Update URL: https://pc.fsu.edu/student-research/symposium/research-symposium-program-portal?element_parents=elements/student_photo&ajax_form=1&_wrapper_format=drupal_ajax&token=oa9RwMKX4vSfKyRvv_56L5LQEqGdPzusCImzzim5aIQ
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