Next Electric Drives for Future Electric Cars

未来电动汽车的下一代电力驱动

• 批准号: RGPIN-2020-05997
• 负责人: Kar, Narayan
• 金额: $ 4.01万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752142
• 关键词: Next; Electric; Drives; Future; Cars

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.

大规模采用电动汽车（EV）的最大障碍是为行业和消费者创建负担得起，有吸引力和功能性的电动汽车设计。消除这一障碍涉及创新牵引电机（电子机器）的设计和开发以及具有成本效益，高效效率并提供改善的扭矩密度和性能的驱动器。申请人在实现增强的电子机器和电动汽车应用程序方面取得了重大进展。在电子机器区域进行的创新包括：1）改进核心材料和绕组涂料和绝缘材料，2）几何设计和优化，3）3）电子机器控制和性能分析，以及4）热建模。在运动驱动器区域中，取得的进展包括新的逆变器拓扑，减少损失和减少的总谐波失真以及优化的控制算法。当前，适当的是通过正在进行的研究项目调查基于宽带隙设备的电动机驱动器。这些进步导致了出色的电动驱动性能和EV驱动范围的增加。通过更快，准确的新测试方法的开发以及具有高功能的用户友好数据分析接口，通过开发更快，准确的新测试方法来测试电子机器和驱动器，也取得了重大改进。该提案将支持该提案的一些创新计划，包括未来的持续和计划，这将进一步建立在电子机器和控制领域中应用程序已经取得的成功。这些举措包括： - 与他的合作伙伴合作，应用将继续研究轻巧和新兴材料用于磁性和非磁性电子机器零件，以增强电气和机械性能以及改善的热性能。 - 利用基于多功能的，基于多功能的迭代优化技术和随机进化方法，将进行几何优化，这将导致易于制造的多功能电子光明馆，同时降低材料消耗和成本。 - 拟议的程序将继续通过采用新型参数独立自适应控制算法来改善响应性，降低扭矩波纹和容错性方面的电子机控制性能。提出的增强的多功能模型参考自适应控制算法将通过平衡电流和提高效率提高充电操作。开发的多功能电子机器将通过电子，热和结构性能以及所提出的控制方法进行测试和验证。