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

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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.