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

为了提高汽车的燃油经济性和减少温室气体排放，汽车公司正在增加其车辆的电气化，包括乘用车，公共交通车辆，卡车和火车。动力源、牵引电机及其传动装置等电力传动系统部件是为电动汽车提供牵引动力的重要子系统。在过去的十年中，这些牵引电力传动系统部件取得了重大进展，例如低成本和轻质电池，更高效的电动机和紧凑的电力驱动装置。然而，汽车行业和政府仍然呼吁进行创新研究和开发，以提高电动动力系统的效率、性能、可靠性和耐用性。本研究计划的重点是开发下一代智能电动机驱动器，以提高牵引电力传动系统在系统层面的整体性能和可靠性。这种智能将使拟议的电机驱动成为“大脑”，而不是电力动力系统中的一个组件。更具体地说，通过对动力系统输入的分析和输出的观察，所提出的智能电动机驱动在运行过程中具有自学习和决策能力，从而提高了性能和可靠性。在各种牵引电机中，永磁同步电机（PMSM）在电动汽车应用中占主导地位，因此本文的研究将主要集中在永磁同步电机驱动上。所提出的具体研究课题包括全面建模，准确的机器和驱动器参数识别，故障检测和容错控制，PMSM驱动器的最大效率/转矩控制策略以及可能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和应用于所提出的电机驱动，以超越目前的技术标准。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。

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.