首页> 外文期刊>Fortschritt-Berichte VDI, Reihe 12. Verkehrstechnik-Fahrzeugtechnik >A set of virtual tools and techniques for the development of future low emissions vehicles with internal combustion engines - strategy, overview and example application to the modelling of fouling in EGR systems
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A set of virtual tools and techniques for the development of future low emissions vehicles with internal combustion engines - strategy, overview and example application to the modelling of fouling in EGR systems

机译:一套用于开发未来带有内燃机的低排放车辆的虚拟工具和技术-EGR系统结垢建模的策略,概述和示例应用

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摘要

Within the context of the development of future low emissions vehicles and their control and diagnosis systems under ever-tightening time and cost restrictions, there is a requirement for an integrated set of tools and techniques for the representation of a virtual vehicle that includes control and calibration considerations. This enables the vehicle configuration and details of components to be investigated at an early stage of the development process, with a focus on emissions, fuel consumption and driveability performance against targets over legislated and customer-relevant drive cycles. This process is described using a current example of the development of a phenomenological approach to the prediction of fouling in EGR coolers on the basis of experimental data. In this example, the planning and interpretation of the tests and the generation of the phenomenological model were all carried out using a method-based procedure. The presented set of tools and techniques is used to support projects with a high level of innovation through the early verification of design concepts, and thus avoids cost-intensive changes and complex calibration iterations in the run-up to start of production.
机译:在日益严格的时间和成本限制下,在未来的低排放车辆及其控制和诊断系统的开发背景下,需要一套完整的工具和技术来代表虚拟车辆,包括控制和校准注意事项。这样可以在开发过程的早期阶段对车辆配置和零部件的细节进行研究,重点关注排放,燃油消耗和驾驶性能,以达到立法和客户相关驾驶周期内的目标。使用基于现象学方法的最新示例来描述此过程,该方法是根据实验数据预测EGR冷却器中的结垢。在此示例中,测试的计划和解释以及现象学模型的生成均使用基于方法的过程进行。提出的工具和技术集可用于通过对设计概念的早期验证来支持具有高水平创新的项目,从而避免在生产开始前的启动过程中进行成本高昂的更改和复杂的校准迭代。

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