压电式喷油器多参数优化匹配研究

刘楠; 刘振明; 龚鑫瑞; 黄新源; 周磊

doi:10.3969/j.issn.1001-2222.2019.02.005

车用发动机 ›› 2019, Vol. 0 ›› Issue (2) : 28-33. DOI: 10.3969/j.issn.1001-2222.2019.02.005

栏目

压电式喷油器多参数优化匹配研究

刘楠，刘振明，龚鑫瑞，黄新源，周磊

作者信息 +

Multi-Parameter Optimization and Matching of Piezoelectric Injector

LIU Nan，LIU Zhenming，GONG Xinrui，HUANG Xinyuan，ZHOU Lei

Author information +

文章历史 +

摘要

作为新兴的驱动控制技术，压电式喷射技术由于快速的动态响应特性，为柴油机精确的小油量、多次喷射提供了可靠保证。针对自行研制的压电式喷油器，基于AMESim软件建立了压电喷油器一维电机液耦合数学模型，以喷油器针阀响应特性指标为优化对象，获得对喷油器响应特性影响权重较大的结构参数，分别采用正交试验优化（DOE）和遗传算法优化方法对关键结构参数进行多目标优化。结果表明：优化后针阀开启延迟缩短了16%，开启时间减少了23.6%，关闭延迟缩短了13.6%，关闭时间减少了13.3%，针阀响应特性获得了很大提高，有利于实现小油量喷射和多次喷射。

Abstract

Taking as a newly-proposed drive control technology, the piezoelectric injection technology provides a reliable approach for the precise injection of tiny fuel and multi-injection due to its rapid and dynamic response. A onedimensional electricalmechanicalhydraulic coupling mathematical model of selfdeveloped piezoelectric injector was established based on AMESim software. Taking the response characteristic index of injector needle valve as the optimized object, the structural parameters that had a great influence on the response characteristic of injector were determined. The orthogonal experimental optimization (DOE) and genetic algorithm were used respectively so that multiobjective optimization of key structural parameters was carried out. The results show that the opening delay and duration of needle valve shorten by 16% and 23.6% respectively and the closing delay and duration shorten by 13.6% and 13.3% respectively after optimization. The response characteristics of needle valve greatly improve, which is conducive to realize tiny fuel injection and multi-injection.

导出引用

刘楠，刘振明，龚鑫瑞，黄新源，周磊. 压电式喷油器多参数优化匹配研究[J]. 车用发动机. 2019, 0(2): 28-33 https://doi.org/10.3969/j.issn.1001-2222.2019.02.005

LIU Nan，LIU Zhenming，GONG Xinrui，HUANG Xinyuan，ZHOU Lei. Multi-Parameter Optimization and Matching of Piezoelectric Injector[J]. Vehicle Engine. 2019, 0(2): 28-33 https://doi.org/10.3969/j.issn.1001-2222.2019.02.005