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基于工况车辆燃油消耗的直观统计分析
引用本文:曾小华,王庆年,宋大凤.基于工况车辆燃油消耗的直观统计分析[J].湖南大学学报(自然科学版),2010,37(10):35-40.
作者姓名:曾小华  王庆年  宋大凤
作者单位:(吉林大学 汽车动态模拟国家重点实验室,吉林 长春130025)
基金项目:国家自然科学基金资助项目,吉林省科技发展计划项目
摘    要:针对传统汽车油耗高而难以有效分析其燃油消耗的详细特征,采用基于循环工况的发动机工作时间与燃油消耗率统计方法,分析了传统汽车发动机燃油消耗的详细三维分布特征.应用上述方法针对某传统客车在不同城市工况下进行仿真,统计其转速、转矩及其燃油消耗率时间历程,分析结果表明:发动机绝大多数工作点均落入低转速及低负荷区,并在这些工作区域内消耗太多的燃油.进一步指明了发动机节能设计的方向——发动机MAP的高效区域应向与实际工况相匹配的低速低负荷区移动以及通过混合动力技术减小发动机装机容量等措施,可为企业的产品更新和节能化设计提供实际指导.

关 键 词:循环工况  燃油消耗  统计分析  节能设计

Direct Statistical Analyses of Vehicle's Fuel Consumption Based on Driving Cycles
ZENG Xiao-hua,WANG Qing-nian,SONG Da-feng.Direct Statistical Analyses of Vehicle''s Fuel Consumption Based on Driving Cycles[J].Journal of Hunan University(Naturnal Science),2010,37(10):35-40.
Authors:ZENG Xiao-hua  WANG Qing-nian  SONG Da-feng
Institution:(State Key Laboratory of Automobile Dynamic Simulation, Jilin Univ, Changchun, Jilin130025, China)
Abstract:Aiming at solving the difficulty of effectively analyzing the fuel consumption characteristics of conventional vehicles, this paper statistically analyzed the engine operating time and the fuel consumption rate of several typical driving cycles, and used three dimensional distribution visual analysis to identify the detailed engine fuel consumption characteristics. A transit bus was simulated under several city cycles with the statistics of the engine speed, torque and time history of fuel rate. Results have shown that the vast majority of the engine operating points fall into the low speed and low load zone, where the engine consumes a significant amount of fuel. Furthermore, the results have also indicated that the direction of engine energy saving, i.e. high efficiency region of the engine performance MAP should be shifted to the low speed and low load zone where the vehicle operates most of the time. Also, the engine should be downsized with hybrid technology. This work has great practical value in guiding enterprises in product development and energy saving designs.
Keywords:drive cycles  fuel consumption  statistical analysis  energy saving design
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