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

混合动力汽车(HEV)的研究正在积极进行，以提高能源效率、动力性能，并满足减排标准。混合动力汽车的能量管理系统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。实时半实物仿真正在成为混合动力汽车控制系统快速成型和评估的重要工具，从而可以在闭环中对照混合动力汽车子系统的实时仿真对实际控制系统进行测试，从而减少对原型车的依赖并快速跟踪设计过程。混合动力汽车各子系统的精确建模是实现逼真实时半实物仿真的必要条件，然而现有的实时数字仿真器仍然受到建模和计算瓶颈的限制，难以实现详细的仿真。该方案旨在开发基于并行可重构现场可编程门阵列(FPGA)的混合动力汽车用电力电子电机驱动的高保真实时模型。将为推进电机、电力电子转换器和储能设备开发详细的模型。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混合动力汽车的半实物仿真中。为了在现场可编程门阵列上实时仿真这些模型，将开发新的并行数值方法。所开发的模型、方法和半实物仿真结果将使用实验和行业标准的器件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.