重型柴油机ECU控制策略颗粒排放双模协同监控研究  

Research on Dual-Model Cooperative Monitoring of Particulate Emissions in Heavy-Duty Diesel Engine ECU Control Strategies

作　　者：黄令宇 高庆文[1] 徐文凯 Huang Lingyu;Gao Qingwen;Xu Wenkai(Jiangling Motors Co.Ltd.,Nancahng 330200,China)

机构地区：[1]江铃汽车股份有限公司,江西南昌330200

出　　处：《专用汽车》2025年第4期52-55,共4页Special Purpose Vehicle

摘　　要：针对重型柴油机颗粒物(PM)排放后处理系统对物理传感器的依赖问题,提出一种基于压差模型与原排模型的双模型协同控制策略。通过构建排气背压差与原始排放的数学模型,结合ECU实时数据融合算法,实现颗粒物浓度的动态预测与监控。实验表明,该策略在稳态和瞬态工况下可替代PM传感器的功能,满足国六排放法规要求,同时降低后处理系统成本与维护复杂度。To address the dependency of heavy-duty diesel engine particulate matter(PM)emission after-treatment systems on physical sensors,this paper proposes a dual-model collaborative control strategy based on a pressure differential model and an original emission model.By establishing mathematical models for exhaust backpressure differential and raw emissions,combined with an ECU real-time data fusion algorithm,dynamic prediction and monitoring of particulate matter concentration are achieved.Experimental results demonstrate that this strategy can replace the functionality of PM sensors under both steady-state and transient operating conditions,meeting China VI emission regulations while reducing the cost and maintenance complexity of after-treatment systems.

关 键 词：柴油机 颗粒物浓度预测 双模型监控 

分 类 号：U461[机械工程—车辆工程]