High-Fidelity Real-Time Digital Hardware Emulation of Power Electronic Motor Drives for Automotive Applications

为了提高能源效率、动力性能和达到减排标准，混合动力汽车（hev）的研究正在积极进行。混合动力汽车能量管理系统的设计和优化非常复杂，因为不同物理领域的多个子系统紧密集成在一起。实时半实物仿真（HIL）正成为HEV控制系统快速原型设计和评估的重要工具，通过对HEV子系统的闭环实时仿真，可以对实际控制系统进行测试，从而减少对原型车辆的依赖，并快速跟踪设计过程。为了实现真实的实时HIL仿真，需要对HEV子系统进行精确建模；然而，现有的实时数字模拟器仍然受到建模和计算瓶颈的限制，无法实现详细的仿真。该方案旨在开发基于并行可重构现场可编程门阵列（fpga）的混合动力汽车中电力电子电机驱动的高保真实时模型。将开发推进电机、电力电子转换器和能量存储设备的详细模型。将开发改进的参数估计和控制方法，以将详细的子系统模型集成到HEV HIL仿真中。将开发新的并行数值方法在fpga上实时模拟这些模型。开发的模型、方法和HIL仿真结果将通过实验和工业标准设备级离线仿真工具进行充分验证。

Research into hybrid electric vehicles (HEVs) is being actively pursued for enhanced energy efficiency, power performance, and to meet emission reduction standards. The energy management system of the HEV is very complex to design and optimize because several subsystems in different physical fields are tightly integrated. Real-time hardware-in-the-loop (HIL) simulation is becoming an essential tool for rapid prototyping and evaluation of HEV control systems, whereby the actual control system can be tested against real-time simulations of the HEV subsystems in closed loop, thus reducing dependence on prototype vehicles and fast tracking the design process. Precise modeling of HEV subsystems is required for a realistic real-time HIL simulation; however, existing real-time digital simulators are still limited by modeling and computational bottlenecks for achieving a detailed simulation. This proposal aims to develop high-fidelity real-time models for power electronic motor drives applied in HEVs on parallel reconfigurable field programmable gate arrays (FPGAs). Detailed models will be developed for the propulsion motor, power electronic converters, and energy storage devices. Improved parameter estimation and control methods will be developed to integrate the detailed subsystem models into the HEV HIL simulation. Novel parallel numerical methods will be developed to emulate these models on FPGAs in real-time. The developed models, methods, and HIL simulation results will be fully validated using experiments and industry standard device-level off-line simulation tools.