Customer-correlated drive cycle generation for realistic fuel consumption and driving emissions testing

Abstract

Fuel consumption and driving emissions are critical performance targets for the automotive industry. Extensive tests are therefore performed on engine test benches or full vehicle chassis dynamometers. In order to make these laboratory tests an accurate representation of the real-world fuel consumption and driving emissions, it is crucial to apply realistic drive cycles. This work first presents a procedure to characterize the real-world fuel consumption and driving emissions based on a customer fleet measurement database. Second, it will be demonstrated how a customer-correlated drive cycle can be generated which matches this real-world customer usage.status: publishe

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