Next Electric Drives for Future Electric Cars

大规模采用电动汽车（EV）的最大障碍是为工业和消费者创造价格合理、有吸引力和功能齐全的电动汽车设计。为了消除这一障碍，需要设计和开发创新的牵引电机（e-machine）和驱动器，这些电机具有成本效益，效率高，并提供改进的扭矩密度和性能。申请人在实现电动汽车应用的增强型电机和驱动器方面取得了重大进展。电子机械领域的创新包括：1)芯材和绕组涂层和绝缘的改进，2)几何设计和优化，3)电子机械控制和性能分析，以及4)热建模。在电机驱动领域，取得的进展包括新的逆变器拓扑结构，减少损耗和减少总谐波失真，以及优化的控制算法。申请人目前正在通过正在进行的研究项目研究基于宽带隙器件的电机驱动器。这些进步带来了卓越的电力驱动性能，并增加了电动汽车的行驶里程。通过开发更快和更准确的新测试方法，以及创建用户友好的高性能数据分析界面，在电机和驱动器的测试方面也取得了重大进展。该提案将支持正在进行和计划未来的几项创新举措，该提案将进一步建立在申请人在电子机械和控制领域已经取得的成功的基础上。这些举措包括：-与合作伙伴合作，申请人将继续研究轻质和新兴材料在磁性和非磁性电子机械部件中的应用，以增强电气和机械性能并改善热性能。-利用多功能、多约束的迭代优化技术和随机进化方法，进行几何优化，从而在降低材料消耗和成本的同时，更容易制造出性能更好的多用途电子机械。-该方案将通过采用新颖的参数独立自适应控制算法，在响应性、转矩脉动减小和容错性方面继续提高机电控制性能。提出的增强型多用途模型参考自适应控制算法将改善充电运行，实现电流平衡，提高充电效率。开发的多用途电子机器将在电磁、热、结构性能以及提出的控制方法方面进行测试和验证。

The largest obstacle to the mass adoption of electric vehicles (EVs) is the creation of affordable, attractive and functional EV designs for industry and consumers. Eliminating this obstacle involves the design and development of innovative traction electric machines (e-machines) and drives that are cost effective, highly efficient, and provide improved torque density and performance. The applicant has made significant progress in achieving enhanced e-machines and drives for EV applications. Innovations made in the e-machine area include: 1) improvement of core materials and winding coating and insulation, 2) geometrical design and optimization, 3) e-machine control and performance analysis, and 4) thermal modeling. In the area of motor drives, progress made includes new inverter topology, reduced losses and reduced total harmonic distortion, and optimized control algorithms. The applicant is currently investigating wide band gap device based motor drives through on-going research projects. These advancements have resulted in superior electric drive performance and increased EV driving range. Significant improvement was also achieved in the testing of e-machines and drives through the development of faster and accurate new testing methods, and the creation of a user friendly data analysis interface with high capability. Several innovative initiatives, both on-going and planned for the future, will be supported by this proposal which will further build upon the success already achieved by the applicant in the field of e-machines and controls. These initiatives include: - In collaboration with his partners the applicant will continue to investigate the utilization of lightweight and emerging materials for magnetic and non-magnetic e-machine parts for enhanced electrical and mechanical properties and improved thermal performance. - Utilizing multi-functional, multi-constraint based iterative optimization techniques and stochastic evolutionary methods, geometrical optimization will be conducted that will result in an easily manufactured multi-purpose e-machine with improved performance while reducing material consumption and cost. - The proposed program will continue to improve the e-machine control performance in terms of responsiveness, torque ripple reduction, and fault tolerance by employing novel parameter independent adaptive control algorithms. The proposed enhanced multi-purpose model reference adaptive control algorithm will result in improved charging operation with balanced currents and increased efficiency. The developed multi-purpose e-machines will be tested and verified in terms of electromagnetic, thermal, and structural performance along with the proposed control methods.