TY - GEN
T1 - A smart and sustainable On the Move charging solution for autonomous electric vehicles/electric vehicles
AU - Javeed, Yasir
AU - Mehdi, Hafiz Muhammad
PY - 2024
Y1 - 2024
N2 - The growing use of battery-powered transportation entails the development of charging techniques that are autonomous and require minimal human assistance. In wake of this, dynamic wireless power transfer (DWPT), or dynamic wireless charging (DWC), is a promising solution for intelligent transportation systems (ITS). DWC can make the charging process autonomous, reliable, and convenient, which is pivotal to ITS and smart cities. To bring this to fruition, this study proposes the design and development of a DWC test bed using a copper tube and a Class DE resonant inverter whose consolidation aspect had remained unstudied before. Experimental results validated a strategy for enhancing the inductance, magnetic field strength, and Q-factor of the copper tube. The Raspberry Pi Pico is used as the primary controller for the WPT system. To achieve optimal performance, high-frequency (HF) inverter MOSFETs with low Rds (on) are selected. The experimental results were substantiated with 12 watts of power transferred at a distance of 0.55 meters and 25 watts at a distance of 5 inches using the proposed approach. The DWC system is also provisioned with added intelligence in order to actualize the concept of ITS and smart and qreener cities.
AB - The growing use of battery-powered transportation entails the development of charging techniques that are autonomous and require minimal human assistance. In wake of this, dynamic wireless power transfer (DWPT), or dynamic wireless charging (DWC), is a promising solution for intelligent transportation systems (ITS). DWC can make the charging process autonomous, reliable, and convenient, which is pivotal to ITS and smart cities. To bring this to fruition, this study proposes the design and development of a DWC test bed using a copper tube and a Class DE resonant inverter whose consolidation aspect had remained unstudied before. Experimental results validated a strategy for enhancing the inductance, magnetic field strength, and Q-factor of the copper tube. The Raspberry Pi Pico is used as the primary controller for the WPT system. To achieve optimal performance, high-frequency (HF) inverter MOSFETs with low Rds (on) are selected. The experimental results were substantiated with 12 watts of power transferred at a distance of 0.55 meters and 25 watts at a distance of 5 inches using the proposed approach. The DWC system is also provisioned with added intelligence in order to actualize the concept of ITS and smart and qreener cities.
KW - autonomous electric vehicle (AEV)
KW - Class DE resonant inverter
KW - copper tube
KW - dynamic wireless charging (DWC)
KW - electric vehicle (EV)
KW - intelligent trans-portation System (ITS)
KW - Internet of Things (IoT)
KW - Raspberry Pi Pico
KW - RFID
KW - smart and sustainable cities
KW - wireless power transfer (WPT)
UR - http://www.scopus.com/inward/record.url?scp=85219644600&partnerID=8YFLogxK
U2 - 10.1109/IBCAST61650.2024.10877129
DO - 10.1109/IBCAST61650.2024.10877129
M3 - Conference proceeding contribution
AN - SCOPUS:85219644600
T3 - Proceedings of the International Bhurban Conference on Applied Sciences and Technology
SP - 549
EP - 557
BT - IBCAST 2024: Proceedings of 2024
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - International Bhurban Conference on Applied Sciences and Technology (21st : 2024)
Y2 - 20 August 2024 through 23 August 2024
ER -