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
| First Name | Rohan Nana, Nicholas Ni, |
|---|---|
| Last Name | Christian Rich, and Antonne Williams |
| Pronouns | |
| FSU Student Email | rnana@fsu.edu |
| Student Photo |
|
| Major(s) | Electrical Engineering |
| Student Bio | 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) | |
| 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 | |
| Poster Thumbnail |
|
| 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 |