Development and experimental research of an integrated dynamic simulation platform for an ionic liquid hydrogen compressor utilized in hydrogen refueling stations

Abstract

The ionic liquid hydrogen compressor is widely regarded as an ideal solution for achieving high-pressure compression of green hydrogen due to its high energy efficiency and the high purity of the hydrogen output. This compressor integrates two key subsystems—hydraulic transmission and hydrogen compression—whose coupled interactions significantly affect the system's dynamic behavior and energy performance. However, existing simulation approaches have not effectively captured the combined influence of both subsystems. To address this challenge, a co-simulation method based on AMESim and Simulink was proposed. Through secondary development of the AMESim platform, two new submodels—“wet compression” and “ionic liquid flow resistance”—were created. These were integrated with a Simulink-based neural network model capable of predicting heat dissipation and flow resistance. A five-stage prototype compressor was built and tested under specific operating conditions, including an inlet pressure of 0.5 MPa, an outlet pressure of 35 MPa, and a motor speed of 45 rpm. The simulation results showed good agreement with experimental measurements in most compression stages, and the average simulated energy consumption of the system was approximately 2.41 kWh/kg. The findings validate the accuracy and applicability of the proposed co-simulation platform for analyzing high-pressure hydrogen compressors.