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柴油功率分流混动系统发动机工作点优化OA

Engine Operating Point Optimization for a Diesel Power-Split Hybrid System

中文摘要英文摘要

针对当前发动机全工况范围内高效区总面积相对较小、发动机动态响应相对较差的问题,提出了一种发动机窄域高效的等效燃油消耗最小(equivalent consumption minimization strategy,ECMS)控制策略,并以功率分流混动商用车为研究对象,自主开发了整车系统被控对象模型,分析了柴油机窄域高效控制策略、发动机性能、整车主减速器速比等的优化对混动商用车燃油经济性及排放性能的影响.仿真结果表明,在中国重型商用车辆行驶工况-轻型货车(China heavy-duty commercial vehicle test cycle for light truck,CHTC_LT)标准循环工况下,采用优化的控制策略及参数,与优化前相比,整车系统循环油耗降低约 10.27%,HC+CO 排放量降低约 19.30%,NOx 排放量升高约4.50%,颗粒物排放量降低约 23.25%,提升整车燃油经济性的同时,排放性能也得到显著改善.

To Addresse the issues of relatively small total area of high-efficiency zone in full operating range of the engine and poor dynamic responsiveness,a narrow-domain high-efficiency equivalent consumption minimization strategy(ECMS)control strategy for power-split hybrid commercial vehicles was proposed.A vehicle system model of the power-split hybrid commercial vehicle was independently developed,and the influences of the narrow-domain high-efficiency control strategies for diesel engines,performance optimization of the diesel engine,and main reducer ratio optimization on fuel consumption and emission performance were analyzed.The results show that under the China heavy-duty commercial vehicle test cycle for light truck(CHTC_LT)standard cycle conditions,with the optimized control strategies and parameters,the fuel consumption of the vehicle system decreased by about 10.27%,HC+CO emissions reduced by about 19.30%,NOx emissions increased by about 4.50%,and particulate matter(PM)emissions decreased by about 23.25%,compared with that before optimization.The optimization scheme not only can improve the vehicle's fuel economy but also achieve a significant improvement in emission performance.

祖炳锋;刘景阳;王昊鹏;林志强;徐玉梁

天津大学,天津 300072||天津内燃机研究所(天津摩托车技术中心),天津 300072天津内燃机研究所(天津摩托车技术中心),天津 300072天津大学,天津 300072||天津内燃机研究所(天津摩托车技术中心),天津 300072天津大学,天津 300072天津大学,天津 300072||天津内燃机研究所(天津摩托车技术中心),天津 300072

交通工程

功率分流混动商用车柴油机窄域高效参数优化发动机万有特性混沌正弦粒子群算法

power splithybrid commercial vehiclediesel enginenarrow-domain high-efficiencyparameter optimizationengine universal characteristicschaotic sinusoidal particle swarm optimization

《内燃机工程》 2026 (4)

30-41,12

天津市科技计划项目(24ZXZSSS00090) Tianjin Science and Technology Plan Project(24ZXZSSS00090)

10.13949/j.cnki.nrjgc.2026.04.004

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