| Proj No. | A1131-251 |
| Title | High-Efficiency and Rapid Battery Equalization via Energy Transfer Path Optimization and AI Techniques |
| Summary | Batteries are integral to industries such as electric vehicles (EVs) and more-electric aircraft (MEA). Active equalization is crucial for series-connected battery strings to enhance reliability and extend battery lifespan. Among the various equalization methods, buck-boost based battery equalizers excel in equalization speed. However, as the number of batteries increases, the complexity of energy transfer paths grows significantly, reducing overall efficiency. Additionally, the potential for rapid equalization is not fully harnessed when operating in discontinuous conduction mode. This project aims to develop a high-efficiency, fast equalization method by optimizing energy transfer paths and implementing near-critical conduction mode operation. The selected student will work with research staff and a postgraduate student to design the circuit and develop advanced control strategies, including AI techniques, to boost equalization speed and system efficiency. Final results will be validated through simulations and experimental testing. |
| 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?: |