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Modeling of Fuel Consumption of Passenger Cars Based on Their Technical Characteristics

机译:基于技术特征的乘用车燃料消耗的建模

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The article presents a mathematical model for determining the fuel consumption of passenger cars, using a minimum number of specifications and operating conditions. Fuel consumption rates declared by vehicle manufacturers differ significantly from experienced operating data, and this leads both to additional financial costs and to incorrect assessment of environmental damage. Existing methods of modeling vehicle fuel consumption in operation that use telematics data require pre-calibration of the equipment. Models based on them are difficult to use because of the large number of parameters. It is proposed to simulate the fuel efficiency of cars only on the basis of its technical characteristics, as well as the average speed of travel. For this purpose, experimental data on the movement of 796 passenger cars were used. The data were obtained during the operation of cars in the European part of Russia during 2017–2019. Based on the data obtained, a mathematical regression model has been built. It is shown that the application of the resulting fuel consumption model only on the basis of changes in average speed allows one to achieve accuracy acceptable for practical use in the case of passenger cars. The modeling error does not exceed 2.97%. The model does not use data on vehicle load, climate and road conditions and still gives reliable values in the case of passenger cars of B and C class.
机译:本文介绍了一种用于确定乘用车的燃料消耗的数学模型,使用最小数量的规格和操作条件。车辆制造商宣布的燃料消耗率显着不同于经验丰富的运营数据,这导致额外的财务成本和对环境损害的评估不正确。在使用远程信息处理数据的操作中建模车辆燃料消耗的现有方法需要预先校准设备。由于参数数量大,基于它们的模型很难使用。建议仅根据其技术特征模拟汽车的燃油效率,以及平均旅行速度。为此目的,使用有关796辆乘用车运动的实验数据。在2017 - 2019年俄罗斯欧洲欧洲部分的汽车运营期间获得了数据。基于所获得的数据,建立了数学回归模型。结果表明,仅基于平均速度的变化的燃料消耗模型的应用允许人们在乘用车的情况下实现对实际使用的准确性。建模错误不超过2.97%。该模型不使用车载,气候和道路状况的数据,并在B和C级乘用车的情况下提供可靠的值。

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