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Development of a Template Model and Simulation Approach for Quantifying the Effect of WLTP Introduction on Light Duty Vehicle CO_2 Emissions and Fuel Consumption

机译:一种模板模型和模拟方法,用于量化WLTP介绍对轻型车辆CO_2排放和燃料消耗的影响

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The paper describes the development of a modelling approach to simulate the effect of the new Worldwide harmonized Light duty Test Procedure (WLTP) on the certified CO_2 emissions of light duty vehicles. The European fleet has been divided into a number of segments based on specific vehicle characteristics and technologies. Representative vehicles for each segment were selected. A test protocol has been developed in order to generate the necessary data for the validation of the vehicle simulation models. In order to minimize the sources of uncertainty and the effects of flexibilities, a reference “template model” was developed to be used in the study. Subsequently, vehicle models were developed using AVL Cruise simulation software based on the above mentioned template model. The various components and sub-modules of the models, as well as their input parameters, have been defined with the support of the respective OEMs. Specific strategies have been defined for the implementation of individual technologies affecting fuel consumption such as Start-stop, Brake Energy Recuperation, and Variable Valve Actuation etc. Each vehicle model was validated comparing simulations with measurements for both WLTP and NEDC, achieving accuracies better than 2.5% on the absolute end values for each cycle, and better than 2 g CO_2/km on the difference between the two cycles with respect to the measurements. Finally, a first quantification of the effect of WLTP introduction on CO_2 emissions and fuel consumption of the specific vehicles is attempted.
机译:本文介绍了建模方法的开发,以模拟全球统一轻型测试程序(WLTP)对轻型车辆认证CO_2排放的效果。欧洲舰队已被分为许多基于特定车辆特征和技术的细分。选择每个段的代表性车辆。已经开发了测试协议,以便为车辆仿真模型验证进行必要的数据。为了最大限度地减少不确定性和灵活性影响的源,开发了参考“模板模型”在研究中使用。随后,使用基于上述模板模型的AVL巡航仿真软件开发了车辆模型。使用各个OEM的支持来定义模型的各种组件和子模块以及它们的输入参数。已经定义了用于实施影响燃料消耗的个体技术的具体策略,例如起动停止,制动能量恢复和可变阀致动等。每辆车模型被验证了对WLTP和NEDC的测量进行比较,从而实现了比2.5更好的准确度对于每个循环的绝对终端值,并且在两个循环相对于测量之间的差异而优于2g co_2 / km。最后,尝试了第一定量WLTP介绍对CO_2排放和燃料消耗的效果。

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