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<p>High speed solenoid valves (HSSVs) serve as indispensable flow modulation component in digital fluid power systems. Their dynamic behavior and identifiability critically depend on characteristic variables derived from coupled electromagnetic, internal fluidic, and mechanical fields. Existing multi-physics models predominantly prioritize the equivalence and verifiability of characteristic variables, while neglecting that distributed internal variables can directly participate in coupling computations through integration, and lack multi-objective optimization opportunities based on high-fidelity correlations between corresponding physical fields and the performance of HSSVs. To address this limitation, this article established a multi-physics co-simulation model for HSSVs. With this framework, the electromagnetic force calculation incorporated magnetic field non-uniformity through finite element analysis. Fluid-dependent forces are resolved using a 3D CFD model with Arbitrary Lagrangian–Eulerian (ALE) meshing, while cross-domain variable coupling is achieved via kinetic equations implemented in MATLAB/Simulink. Validation results demonstrate that the co-simulation model achieves strong agreement with established theoretical models. Electromagnetic force and excitation current predictions exhibit &lt; 1% deviation from theoretical benchmarks. Pressure oscillation amplitudes maintain &lt; 3.7% divergence from physical tests, with response time discrepancies confined to 2&#xa0;ms. Transient flow rate predictions demonstrate 0.08 L/min maximum variance from experimental data. These findings confirm that the proposed multi-physics co-simulation framework effectively captures essential HSSV operational characteristics while providing enhanced physical fidelity over traditional modeling approaches. The developed methodology offers practically relevant design principles that closely align with real-world operating conditions.</p>

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Characteristics investigation of high speed solenoid valve based on multi-physics co-simulation model

  • 期刊论文

  • 发表日期：

    2025年6月12日

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  • Xiaoming Chen,
  • Yuchuan Zhu,
  • Cheng Qin,
  • Yangmin Li

摘要

High speed solenoid valves (HSSVs) serve as indispensable flow modulation component in digital fluid power systems. Their dynamic behavior and identifiability critically depend on characteristic variables derived from coupled electromagnetic, internal fluidic, and mechanical fields. Existing multi-physics models predominantly prioritize the equivalence and verifiability of characteristic variables, while neglecting that distributed internal variables can directly participate in coupling computations through integration, and lack multi-objective optimization opportunities based on high-fidelity correlations between corresponding physical fields and the performance of HSSVs. To address this limitation, this article established a multi-physics co-simulation model for HSSVs. With this framework, the electromagnetic force calculation incorporated magnetic field non-uniformity through finite element analysis. Fluid-dependent forces are resolved using a 3D CFD model with Arbitrary Lagrangian–Eulerian (ALE) meshing, while cross-domain variable coupling is achieved via kinetic equations implemented in MATLAB/Simulink. Validation results demonstrate that the co-simulation model achieves strong agreement with established theoretical models. Electromagnetic force and excitation current predictions exhibit < 1% deviation from theoretical benchmarks. Pressure oscillation amplitudes maintain < 3.7% divergence from physical tests, with response time discrepancies confined to 2 ms. Transient flow rate predictions demonstrate 0.08 L/min maximum variance from experimental data. These findings confirm that the proposed multi-physics co-simulation framework effectively captures essential HSSV operational characteristics while providing enhanced physical fidelity over traditional modeling approaches. The developed methodology offers practically relevant design principles that closely align with real-world operating conditions.