| Proj No. | A1130-251 |
| Title | AI-Powered Dynamic Inductive Charging for In-Motion Electric Vehicles |
| Summary | Tesla has unveiled its plan to integrate inductive power transfer (IPT) technologies into its newly launched Cybercab. As autonomous driving gains momentum, the adoption of IPT for electric vehicle (EV) charging is becoming a growing trend. Dynamic IPT, which allows EVs to charge while on the move, presents a promising solution to boost charging efficiency, particularly in light of the reduced battery capacities in modern EVs. This project focuses on developing a high-efficiency dynamic IPT system by tackling key design considerations such as coil geometry, electromagnetic materials, power converters, and control strategies. The selected student will collaborate with research staff and a postgraduate student to optimize advanced materials for enhanced system performance. AI technologies will be employed to configure material allocation with optimized parameters. The final results will be validated using an industrial-scale dynamic IPT system. |
| Supervisor | Ast/P Yang Yun (Loc:S2 > S2 B2C > S2 B2C 105, Ext: +65 67905406) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Water & Energy Research Laboratory (Loc: S2.1-B3-03) |
| Single/Group: | Single |
| Area: | Electrical Power and Energy |
| ISP/RI/SMP/SCP?: |