Intelligent Electric Motor Drives with Improved Performance and Reliability for Electrified Vehicles

提高电动汽车性能和可靠性的智能电机驱动器

• 批准号: RGPIN-2019-05476
• 负责人: Lai, Chunyan
• 金额: $ 2.4万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=738320
• 关键词: Intelligent; Electric; Motor; Drives; Improved

In an effort to improve the fuel economy of vehicles and to reduce greenhouse gas emissions, automotive companies are increasing the electrification of their vehicles including passenger cars, public transit vehicles, trucks and trains. The electric powertrain components, such as the energy source, traction electric machines and their drives are important subsystems providing the traction power for electrified vehicles. In the past decade, significant advances have been made to these traction electric powertrain components, such as low cost and lightweight batteries, more efficient electric motors and compact electric drives. However, the automotive industry and government still call for innovative research and developments to improve the electric powertrain efficiency, performance, reliability and durability. This research proposal focuses on developing the next-generation intelligent electric motor drives to improve the overall performance and reliability of the traction electric powertrain at a system level. The intelligence will make the proposed motor drive to be the "brain" instead of one component in the electric powertrain system. More specifically, through analyzing the inputs and observing the outputs of the powertrain system, the proposed intelligent electric motor drive is capable of self-learning and decision making during operation to achieve an improved performance and reliability. Among various traction electric machines, the permanent magnet synchronous machine (PMSM) is dominantly used in electrified vehicle applications, so the proposed research will be primarily focused on PMSM drives. The specific topics of the proposed research encompass comprehensive modeling, accurate machine and drive parameter identification, fault detection and fault tolerant control, and maximum efficiency/torque control strategies for the PMSM drives as well as a possible extension to other electric machine drives. More importantly, intelligent control theory will be investigated and applied in the proposed electric machine drive to exceed the current standard of technology. Therefore, the proposed research will help advance electrified vehicle technologies and provide the Canadian automotive original equipment manufacturers (OEM) and suppliers with product implementable solutions in the near-term with an ultimate aim of making transportation electrification widely acceptable to the consumers.

为了提高车辆的燃料经济性并减少温室气体排放，汽车公司正在增加其车辆的电气化，包括乘用汽车、公共交通车辆、卡车和火车。电力传动系统的组成部分，如能源，牵引电机及其驱动器是为电气化车辆提供牵引动力的重要子系统。在过去的十年中，这些牵引电动动力系统部件已经取得了重大进展，例如低成本和轻质电池，更高效的电动机和紧凑的电驱动器。然而，汽车行业和政府仍然呼吁创新研究和开发，以提高电动动力总成的效率，性能，可靠性和耐用性。该研究计划的重点是开发下一代智能电动机驱动器，以提高牵引电动动力系统的整体性能和可靠性。智能将使拟议的电机驱动器成为“大脑”，而不是电动动力系统中的一个组件。更具体地说，通过分析动力系统的输入和观察动力系统的输出，所提出的智能电动机驱动器能够在操作期间进行自学习和决策，以实现改进的性能和可靠性。在各种牵引电机中，永磁同步电机（PMSM）主要用于电气化车辆应用，因此建议的研究将主要集中在PMSM驱动器上。拟议的研究的具体议题包括全面的建模，准确的机器和驱动器参数识别，故障检测和容错控制，以及最大效率/转矩控制策略的PMSM驱动器，以及可能的扩展到其他电机驱动器。更重要的是，智能控制理论将被研究并应用于拟议的电机驱动器，以超过当前的技术标准。因此，拟议的研究将有助于推进电动汽车技术，并在短期内为加拿大汽车原始设备制造商（OEM）和供应商提供产品可实施的解决方案，最终目标是使消费者广泛接受交通电气化。