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基于MATLAB的轿车动力性和燃油经济性仿真
引用本文:徐中明,张志飞,庄建兵,文琍.基于MATLAB的轿车动力性和燃油经济性仿真[J].计算机仿真,2005,22(4):247-251.
作者姓名:徐中明  张志飞  庄建兵  文琍
作者单位:1. 重庆大学机械工程学院,重庆,400030
2. 重庆工业职业技术学院,重庆,400050
摘    要:轿车的动力性和燃油经济性是其重要的使用性能之一,直接影响其商品性。计算机仿真方法为汽车动力性和燃油经济性预测提供了快速、准确、有效的工具,消除了实车道路试验中司机、道路环境、气候等因素对汽车使用性能测定的影响,具有可比性好、重复性强的优点。该文利用最小二乘法和线性回归原理建立了发动机外特性和万有特性模型,利用建立的汽车动力性和燃油经济性的数学模型,推导了汽车动力性和燃油经济性的参数灵敏度公式。用MATLAB编程,对某经济型轿车进行了动力性和燃油经济性计算机仿真,并分析了其参数灵敏度,指出了改进的方向。

关 键 词:汽车  动力性  燃油经济性  计算机仿真  灵敏度分析
文章编号:1006-9348(2005)04-0247-04
修稿时间:2004年7月29日

Computer Simulation of Power Performance and Fuel Economy for Automobile Based on MATLAB
XU Zhong-ming,ZHANG Zhi-fei,ZHUANG Jian-bing,WEN Li.Computer Simulation of Power Performance and Fuel Economy for Automobile Based on MATLAB[J].Computer Simulation,2005,22(4):247-251.
Authors:XU Zhong-ming  ZHANG Zhi-fei  ZHUANG Jian-bing  WEN Li
Affiliation:XU Zhong-ming~1,ZHANG Zhi-fei~1,ZHUANG Jian-bing~1,WEN Li ~2
Abstract:To automobiles, the power p erformance and fuel economy are the main ch aracters which directly affect its performance in market. The computer simulatio n of the power performance and fuel economy for a car is not only a fast, exact and effective method, but it eliminates the effect from driver, road and weather in road test, so the computer simulation can be repeated and compared more easi ly than road test. According to the minimum double multiplying principle and lin ear regression model, the engine full-load performance model and the engine fuel -consumption performance model are established in this paper. Based on the power performance and fuel economy mathematics models, the parameter sensitivity form ulae of power performance and fuel economy of automobile are derived. The comput er simulated program is compiled in MATLAB. The computer simulation of the power performance and fuel economy for a car is done. The results of computer simulat ion and road test are given. At last, the parameter sensitivity analysis is done and some ways of improvement are pointed out.
Keywords:Automobile  Power performance  Fu el economy  Computer simulation  Sensitivity analysis
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