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CPU-FPGA based real-time simulation of fuel cell electric vehicle

Abstract : Proton exchange membrane fuel cell (PEMFC) has been considered as one of the promising renewable power technologies for the vehicular application. This paper proposes a fuel cell electric vehicle (FCEV) power system model that can be implemented in the hardware-in-the-loop (HIL) emulation for real-time execution on field-programmable gate arrays (FPGAs). The FCEV model comprises three parts: a PEMFC, a Z-source inverter and a squirrel cage motor. To achieve an accurate and efficient FPGA resources’ utilization, the PEMFC model is implemented by CPU whereas the models of the DC-AC inverter and the electrical motor are built in FPGA. For the validation of the proposed power system, the real-time simulation tests are conducted with a high accuracy. The developed hybrid system model can reach a simulation time step of 100 ns for FPGA and 500 μs for CPU under the co-simulation mode. Moreover, the simulation under various system operating conditions indicates that the high performance can be reached by the hybrid system computed in real-time. The proposed real-time model can be used to design the on-line diagnostic and model predictive control method, which can help to test the FCEV before the commercial applications.
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Submitted on : Tuesday, April 21, 2020 - 8:28:06 PM
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Rui Ma, Chen Liu, Zhixue Zheng, Franck Gechter, Pascal Briois, et al.. CPU-FPGA based real-time simulation of fuel cell electric vehicle. Energy Conversion and Management, Elsevier, 2018, 174, pp.983-997. ⟨10.1016/j.enconman.2018.08.099⟩. ⟨hal-02495991⟩

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