REAL LIFE TESTING New and increasingly stringent engine emission regulations now include requirements for in-use (=”in-field”) vehicle testing: In fact, the new rules require assessing gaseous emissions (hydrocarbons, carbon monoxide, and nitrogen oxides) and particulate matter during real-world driving operation. These new rules change the game. Without much doubt they will have a major impact on emission control as well as on the calibration and testing process of engines, powertrains and vehicles. FUNCTION SUMMARY The approach covers the early stages of development process (office / 22 simulation) thru indoor dyno testing up to outdoor field-testing with portable emission measurement. A key element of this approach is to assure that the test-driving, data acquisition, post-processing and analysis of emission test data is done in the virtual world “exactly” like in the real world. Comprehensive reports which are, for example, in the EPA compliant format are automatically generated at the end of each virtual or real test drive. The key idea behind the AVL approach is that the adjustment with real measurement data delivers a high level of validity of the simulation results. Hence the simulation models can be used already in early development process stages and deliver high quality results without vehicle tests. The flexibility and the high measurement accuracy of AVL M.O.V.E system support this approach in an optimum way (Fig.1) REAL LIFE DRIVING EMISSIONS Real Life Driving Emissions is an element of AVL’s Real Life Testing platform, which bridges the gap between simulation and reality. It provides a consistent framework for the entire development process for transforming simulation knowledge into practical knowhow on a methodic basis. This technology enables customers to improve quality and process efficiency and to shorten the development cycles significantly. QUICK FACTS • The right tool chain to tackle the upcoming RDE (real driving emission) legislation • Combines already available AVL-products in a new and unique way. • Reproducible results on the testbed • Taking “RLM” (Road-To-Lab-To-Math) to a new level • Use of consistent development tools and methods • Improvement of simulation models • Avoiding of iterations due to an early recognition of causes and effects • Investment safety due to further enhancement possibilities Applications
Solutionskatalog2014_E
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