Multi-objective Optimization of High-Speed Solenoid Valve for Biodiesel Electronic Unit Pump

Yuanqi Gu, L. Fan, Jianyu Zhang, Y. Bai
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Abstract

A larger response delay of a high-speed solenoid valve will cause inaccurate fuel injection timing and imprecise cycle injection quantity, resulting in diesel engine emission and increased fuel consumption. Biodiesel as an ideal alternative fuel has exceptional advantages in energy conservation, emission reduction, and low-carbon environmental protection; however, matching with Electronic Unit Pump (EUP) and its impacts on solenoid valve operation need to be further studied. Method: In the present work, a numerical model of EUP fueled with biodiesel was established in an AMESim environment, which was validated by the experiment. Then, combined with the Design of Experiments (DOE) method, key parameters influencing the solenoid valve response delay were predicted: armature residual air gap, spring preload, poppet valve half-angle, valve needle diameter, and poppet valve diameter. Finally, taking the response delay time of solenoid valve as targets, multi-objective optimization model for high-speed solenoid valve was established using NSGA-II (non-dominated sorting genetic algorithm-II) genetic algorithm in modeFRONTIER platform. The optimized results showed that the delay time of the solenoid valve closing is reduced by 6%, the opening delay time is reduced by 20.8%, the injection pressure peak is increased by 1.8MPa, which is beneficial to accurate injection quantity and the application of biodiesel in diesel engines.
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生物柴油电子单元泵高速电磁阀的多目标优化
高速电磁阀响应延迟过大,会造成喷油正时不准确,循环喷油量不精确,导致柴油机排放超标,油耗增加。生物柴油作为一种理想的替代燃料,在节能减排、低碳环保等方面具有得天独厚的优势;然而,与电子单元泵(EUP)的匹配及其对电磁阀运行的影响还需要进一步研究。方法:在AMESim环境下建立以生物柴油为燃料的EUP的数值模型,并通过实验进行验证。然后,结合实验设计(DOE)方法,预测了影响电磁阀响应延迟的关键参数:电枢剩余气隙、弹簧预紧力、锥阀半角、阀针直径和锥阀直径。最后,以电磁阀响应延迟时间为目标,利用modfrontier平台上的NSGA-II (non- dominant sorting genetic algorithm- ii)遗传算法,建立高速电磁阀的多目标优化模型。优化结果表明,电磁阀关闭延迟时间减少6%,开启延迟时间减少20.8%,喷射压力峰值提高1.8MPa,有利于精确喷射量和生物柴油在柴油机上的应用。
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