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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.
For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.
<div class="section abstract"><div class="htmlview paragraph">Increasingly stringent emission regulations continue to be legislated around the world to significantly minimize pollutants released to the air by internal combustion engines. After Treatment Systems (ATS) meant for reducing oxides of nitrogen (NOx) in the exhaust into non-harmful species have evolved at a rapid pace over the past two decades. Stringent emissions requirements have driven complex ATS architecture through sensors to measure delta-pressure, NOx, and temperatures. Accurate and precise performance of individual components as well as the integrated ATS is required to ensure regulatory compliance and efficient performance. Both of which require substantial amounts of performance and validation testing. Manufacturers have been developing the ability to accurately and efficiently test the ATS components. To meet the norms for tail pipe or stack emissions of NOx in ‘as new’ condition and during the entire ‘emissions useful life (EUL)’ of the ATS, all components of an ATS must perform with high accuracy, every single time. A well designed ‘automated testbench’ ensures better accuracy in testing the functionality of many parts of the ATS, as rapidly as possible.</div><div class="htmlview paragraph">Dosing Unit (DU), also known as the Urea Dosing Unit, in the ATS is responsible for delivering urea as needed into the exhaust airstream thereby helping in the reduction of NOx from the tail pipe or exhaust stack in the SCR (Selective Catalytic Reduction). This paper describes the development of an automated testbench to validate the performance of the dosing unit. The test bench is designed such that both new and used (returned from field) ATS can be tested or evaluated for performance. The automated testbench for urea dosing has been developed at the Cummins Technical Center in India (CTCI) keeping in mind the needs for similar testbenches for Cummins use in other parts of the world. The test bench design, build, and test process and protocol have been formulated such that the same test bench can be used to test urea dosing units to meet emission standards defined by EPA, CARB, EURO, NS, and other international standards.</div></div>
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