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Cpu-Fpga Based Real-Time Simulation of Fuel Cell Electric Vehicle

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In Energy Conversion and Management, vol. 174, pp. 983-997, Elsevier, Ranked Q1 (Scimago), 2018.
DOI: 10.1016/j.enconman.2018.08.099.
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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Publication Category:
International journal with reading committee
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