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

人们正在积极开展混合动力电动汽车 (HEV) 的研究，以提高能源效率、动力性能并满足减排标准。由于不同物理领域的多个子系统紧密集成，混合动力汽车的能量管理系统设计和优化非常复杂。实时硬件在环（HIL）仿真正在成为混合动力汽车控制系统快速原型设计和评估的重要工具，可以根据闭环混合动力汽车子系统的实时仿真来测试实际控制系统，从而减少对原型车的依赖并快速跟踪设计过程。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，无法实现详细的模拟。该提案旨在为混合动力汽车中应用的电力电子电机驱动器在并行可重构现场可编程门阵列（FPGA）上开发高保真实时模型。将为推进电机、电力电子转换器和储能装置开发详细模型。将开发改进的参数估计和控制方法，将详细的子系统模型集成到 HEV HIL 仿真中。我们将开发新的并行数值方法来在 FPGA 上实时模拟这些模型。所开发的模型、方法和 HIL 仿真结果将使用实验和行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.