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RDE cycle generation – a statistical approach to cut down testing effort and provide a secure base to approve RDE legislation compliance

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Internationaler Motorenkongress 2019

Zusammenfassung

The progression of emission legislations in Europe and China has increased the engagement of the automotive industry in the development of improved exhaust gas aftertreatment systems. The fulfillment of PN, NOx and expected CO limits in real world driving scenarios has led to the introduction of gasoline particulate filters, and moreover has significantly increased the work load for calibration engineers and on calibration testing resources. Many OEMs are in extreme task force modes to hold planned SOPs, and some were even forced to reduce their product portfolio. This is due to the large testing matrix, required to cover all possible Real Driving Emissions (RDE)-driving scenarios. This paper presents an RDE-cycle-generator to tackle the huge RDE work load. This RDE-cycle-generator is based on FEV’s large real driving emission measurement data base. It enables reproducibility and significantly cuts down testing effort, while representing a secure base to approve RDE legislation compliance.

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Correspondence to Johannes Claßen .

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Claßen, J. et al. (2019). RDE cycle generation – a statistical approach to cut down testing effort and provide a secure base to approve RDE legislation compliance. In: Liebl, J., Beidl, C., Maus, W. (eds) Internationaler Motorenkongress 2019. Proceedings. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-26528-1_3

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