Comparative Study and Design Optimization of a Dual-Mechanical-Port Electric Machine for Hybrid Electric Vehicle Applications
Institute of Electrical and Electronic Engineers
IEEE Transactions on Vehicular Technology
Original Item ID
A new dual-mechanical-port (DMP) electric machine for hybrid electric vehicle applications, particularly in the power-split continuously variable transmission systems, is proposed in this paper. In order to comprehensively and quantitatively evaluate the pros and cons of the proposed machine, a comparative study of four DMP electric machines with different topologies is conducted. These four investigated DMP electric machines include a conventional DMP machine, a DMP machine with spoke-type permanent magnets, a DMP machine with reluctance rotor, and a DMP machine with open slots which is the proposed machine in this paper. Even though these four machines have similar topologies, they have different operating principles, which are demonstrated in detail. The comparison results indicate that the DMP machine with open slots outperforms the others in terms of torque/power density, efficiency, magnet utilization, etc. Accordingly, the DMP machine with open slots is selected for further investigation and optimization. A large-scale multi-objective optimization is carried out for this machine, where the differential evolution algorithm serves as a global search engine to target optimal performance. Finally, an optimal design is prototyped, and the experimental results are performed to verify the effectiveness of the analysis and simulation results in this paper.
Chen, Hao; EL-Refaie, Ayman M.; Zuo, Yuefei; Cai, Shun; Cao, Libing; and Lee, Christopher H. T., "Comparative Study and Design Optimization of a Dual-Mechanical-Port Electric Machine for Hybrid Electric Vehicle Applications" (2022). Electrical and Computer Engineering Faculty Research and Publications. 750.
ADA Accessible Version
Accepted version. IEEE Transactions on Vehicular Technology, Vol. 71, No. 8 (August 2022): 8341-8353. DOI. © 2022 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.