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Virtual Exhaust-Gas Aftertreatment Test Bench - A Contribution to Model-Based Development and Calibration of Engine Control Algorithmsa

机译:虚拟排气后处理测试台 - 对模型的开发和发动机控制算法校准的贡献

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Introducing new exhaust-gas aftertreatment concepts at mass production level places exacting demands on the overall development process - from defining process engineering to developing and calibrating appropriate control-unit algorithms. Strategies for operating and controlling exhaust-gas aftertreatment components, such as oxidation and selective catalytic reduction catalysts (DOC and SCR), diesel particulate filters (DPF) and SCR on DPF systems (SCR/DPF), have a major influence on meeting statutory exhaust-emission standards. Therefore it is not only necessary to consider the physical behavior of individual components in the powertrain but also the way in which they interact as the basis for ensuring efficient operation of the overall system. The following considerations aim to develop and calibrate simulation methods for exhaust-gas aftertreatment systems using IAV ANBsim with a focus on analyzing strategies for operating and controlling exhaust-gas aftertreatment systems on the basis of production control-unit algorithms implemented in a Rapid Prototyping environment. This approach enables the evaluation of operating and control strategies early on in the development process, supporting algorithm development. For this purpose, real-time numerical models are generated for simulating the physical and chemical processes taking place in exhaust-gas catalytic converters or diesel particulate filters and integrated as system models in a HiL simulator ("hardware in the loop") with control unit and production algorithm. This virtual test bench provides the capability of automatically simulating driving cycles, such as FTP75 and NEDC, while taking into account different calibrations. It also permits the analysis of the operating and control strategy impact on the tailpipe emissions. The effects of new algorithms can be studied directly. By way of example, capabilities of the virtual test bench are discussed on the basis of an ammonia-metering strategy used by SCR catalyst and SCR/DPF systems. Analysis covers differently calibrated control parameters, providing a route to necessary extensions of the control-unit algorithms.
机译:在批量生产水平下引入新的排气后处理概念,对整体开发过程的要求进行了规定的要求 - 从定义工艺工程到开发和校准适当的控制单元算法。操作和控制废气后处理组分的策略,例如氧化和选择性催化还原催化剂(DOC和SCR),DPF系统(SCR / DPF)上的柴油颗粒过滤器(DPF)和SCR,对满足法定排气有重大影响-emission标准。因此,不仅需要考虑动力总成中的各个组件的物理行为,而且还不必考虑它们作为确保整体系统有效运行的基础的方式。以下考虑因素旨在使用IAV ANBSIM开发和校准用于废气后处理系统的仿真方法,其专注于分析在快速原型环境中实施的生产控制单元算法的操作和控制排气后处理系统的策略。这种方法可以在开发过程中提早评估操作和控制策略,支持算法开发。为此目的,产生实时数值模型,用于模拟在排气催化转换器或柴油机颗粒过滤器中进行的物理和化学过程,并在HIL模拟器中作为系统模型(环路中的“硬件”)与控制单元一起集成和生产算法。该虚拟测试台提供了自动模拟驱动周期的能力,例如FTP75和NEDC,同时考虑到不同的校准。它还允许分析操作和控制策略对尾管排放的影响。可以直接研究新算法的影响。举例来说,基于SCR催化剂和SCR / DPF系统使用的氨计量策略来讨论虚拟测试台的能力。分析涵盖不同校准的控制参数,提供了控制单元算法的必要扩展路线。

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