摘要
以冷却系统流动与传热基础理论、智能冷却系统协同控制方法以及冷却系统性能评价方法为切入点,叙述了车用柴油机冷却系统研究现状,并探讨了进一步的发展方向。经分析发现:针对冷却系统流动与传热的数学模型、数值模拟以及冷却介质参数对其性能影响等基础理论研究成果较为丰富,并且纳米流体技术、智能冷却系统技术可有效缩短发动机预热时间、提高热效率、降低热负荷、减少污染物排放和冷却系统寄生损失;纳米流体中最佳纳米粒子的含量研究、针对特殊环境工况(如高原)下的柴油机冷却系统控制参数匹配标定、多参数多目标协同优化及控制策略开发是未来车用柴油机冷却系统研究的重点。
The research status and the further development of cooling system for automotive diesel engine was summarized based on the basic theory of flow and heat transfer, the cooperative control method and the performance evaluation method of cooling system. Analysis found that there are abundant achievements in basic theory research on mathematical model and numerical simulation of flow and heat transfer and the influence of cooling medium parameters on the performance of cooling system. Nanofluid and intelligent cooling system technology can effectively shorten the engine warm-up time, improve thermal efficiency, decrease heat load, reduce pollutant emissions and parasitic loss of cooling system. The future research of engine cooling system will focus on optimum nanoparticle content, matching and calibration for cooling system on plateau, multi-parameter and multi-objective optimization and control strategy.
作者
杨春浩
刘瑞林
张众杰
焦宇飞
陆辰起
YANG Chunhao;LIU Ruilin;ZHANG Zhongjie;JIAO Yufei;LU Chenqi(College of Power Engineering, Naval University of Engineering, Wuhan 430033, China;Department of Military Vehicle, Army Military Transportation University, Tianjin 300161, China)
出处
《兵器装备工程学报》
CAS
北大核心
2019年第10期97-103,124,共8页
Journal of Ordnance Equipment Engineering
基金
国防预研项目(30105030201)
关键词
车用柴油机
冷却系统
流动与传热
协同控制
性能评价
vehicle diesel engine
cooling system
flow and heat transfer
cooperative control
performance evaluation
