1.重庆交通大学 机电与车辆工程学院, 重庆 400074
2.重庆市特种车辆动力传动系统关键零部件设计与测试工程技术研究中心, 重庆 400074
隗寒冰(1979— ),男,湖北安陆人,博士,教授,研究方向为智能电动车辆感知决策与控制技术、车辆动力传动系统及控制技术等。
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隗寒冰,贺少川,陈思意等.发动机冷启动阶段插电式柴电混合动力汽车多目标优化控制策略[J].机械传动,2020,44(02):28-36.
Wei Hanbing,He Shaochuan,Chen Siyi,et al.Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start[J].Journal of Mechanical Transmission,2020,44(02):28-36.
隗寒冰,贺少川,陈思意等.发动机冷启动阶段插电式柴电混合动力汽车多目标优化控制策略[J].机械传动,2020,44(02):28-36. DOI: 10.16578/j.issn.1004.2539.2020.02.005.
Wei Hanbing,He Shaochuan,Chen Siyi,et al.Electric Multi-Objective Optimal Control Strategy for Plug-in Diesel Engine Hybrid Electric Vehicle During Engine Cold Start[J].Journal of Mechanical Transmission,2020,44(02):28-36. DOI: 10.16578/j.issn.1004.2539.2020.02.005.
插电式柴电混合动力汽车在发动机冷启动阶段要求高NO,x,转化效率与低NH,3,泄漏的目标之间存在trade-off关系。依据SCR反应机理建立了NH,3,解吸附速率模型、SCR温度模型以及动态反应模型,将电池SOC和SCR温度作为状态变量,基于庞特里亚金极小值原理提出SCR起燃时间最短策略和油耗与排放多目标综合优化控制策略,并对上述两种策略进行仿真分析。结果表明,SCR起燃时间最短策略在快速升温过程中易造成氨存储量超过催化器储氨能力限值,氨泄漏体积浓度峰值达到4.362×10,-5,,而油耗与排放多目标综合优化策略相比SCR起燃时间最短策略,能实现快速起燃;同时,SCR出口氨泄漏体积浓度峰值降低至2.122 6×10,-5,,燃油经济性提高7.13%。最后,基于dSPACE实时仿真平台进行硬件在环实验,验证了所提出控制策略的实时性和有效性。
The trade-off between the high NO,x, catalytical efficiency and low NH,3, leakage are difficult to tackle, especially during engine cold start of plug-in diesel engine hybrid electric vehicle. The NH,3, desorption rate model, SCR temperature model and dynamic response model are established based on SCR reaction mechanism. According to Pontryagin's minimum principle, the shortest light-off time control strategy of SCR and the multi-objective integrated optimization control strategy of fuel consumption and emissions where SOC and SCR temperature designated as state variables are proposed. The simulation results from shortest light-off time control strategy show that ammonia storage capacity is apt to exceed the limit of ammonia storage capacity during the process of rapid heating. The resultant peak concentration of ammonia leakage is 4.362×10,-5,. By comparison, the multi-objective integrated optimization control strategy for fuel consumption and emissions can not only achieve rapid light-of but also reduce the peak concentration of ammonia leakage to 2.122 6×10,-5,. Meanwhile fuel economy is improved by 7.13%. Finally, the hardware-in-loop experiment based on dSPACE real-time simulation platform is implemented to validate the real-time performance and effectiveness of the proposed control strategy.
极小值原理 控制策略 多目标优化 冷启动 柴油发动机 混合动力汽车
Minimum principleControl strategyMulti-objective optimizationCold startDiesel engineHybrid electric vehicle
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