Ion current sensing technology has the potential to be a low cost and real time combustion phasing solution for HCCI or HCCI-like engine control. Based on a primary reference fuel oxidation mechanism and a C1–C4 hydrocarbon flame ionization mechanism, a skeletal mechanism for gasoline flame ionization process prediction on HCCI engines was developed in this paper. Since the ion concentrations significantly affect the aroused ion current signals, the mechanism is targeted on accurately predicting both the ion production concentrations and other key combustion characteristics. Through the comparison with the results from the detailed gasoline flame ionization mechanism and experimental results, the predicted maximum hydronium (H₃O⁺) ion concentration and the concentration variation tendency are validated. Additionally, the auto-ignition delay time (t_ign) accurately predicted under HCCI engine conditions. Through coupling with a 3D-CFD engine model, the skeletal mechanism was applied to predict the important information of in-cylinder ion species, which are validated by the experimental ion current amplitudes and phases. The results show that the ion current phase (Ion50) matches well with the positions where the predicted ion concentration reaches its maximum, and the ion current amplitudes are well predicted under the conditions of different equivalence ratios (Φ) and fuel injection ratios (Inj_ratio).

离子电流传感技术有可能成为低成本且实时燃烧定相解决方案，用于HCCI或类似HCCI的发动机控制。基于主要的参考燃料氧化机理和C1-C4碳氢化合物火焰电离机理，本文提出了预测HCCI发动机汽油火焰电离过程的骨架机理。由于离子浓度会显着影响所引起的离子电流信号，因此该机制旨在精确预测离子产生浓度和其他关键燃烧特性。通过与详细的汽油火焰电离机理结果和实验结果进行比较，预测最大水合氢（H ₃ O ⁺验证了离子浓度和浓度变化趋势。此外，在HCCI发动机条件下，自动点火延迟时间（t _ign）可以准确预测。通过与3D-CFD发动机模型耦合，将骨骼机制应用于预测缸内离子种类的重要信息，并通过实验离子电流幅度和相位对其进行验证。结果表明，离子流相（Ion50）与预测的离子浓度达到最大值的位置匹配良好，并且在不同当量比（Φ）和燃料喷射比（Inj_比）的条件下，可以很好地预测离子电流幅度）。