Test Run Generation for Real Driving Emissions Compliance
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Solution Overview
Problem
Current methods for testing motor vehicles under Real Driving Emissions (RDE) regulations face challenges in ensuring compliance with emission limit values across various driving situations, as real-world road tests have unpredictable and difficult-to-control conditions, making it hard to compare modifications effectively and guarantee series production conformity.
Innovation Solution
A computer-aided method for generating a test run that simulates real vehicle operation by standardizing and normalizing operating data from usage cycles, identifying emission-relevant events, and assigning driving maneuvers to these events to create a test run that accounts for all driving resistances and vehicle-specific parameters, ensuring the test run reflects real-world conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If real-world road tests are conducted under arbitrary driving conditions, then the test covers a broad range of real driving situations, but the conditions become unpredictable and difficult to control, making it hard to compare modifications effectively
Solution Approach 1:
The patent applies parameter changes by defining specific test parameters (speed profile, load sequence, driving maneuvers) that can be systematically varied while maintaining control. The test run is generated with predefined parameters including speed values, acceleration values, and driving maneuvers that represent real-world conditions but are controlled enough to ensure repeatability and comparability across different tests and modifications.
Solution Approach 2:
The patent implements dynamics by creating a test run that dynamically adapts to represent real-world driving patterns while maintaining structural control. The speed profile and load sequence are designed to dynamically reflect actual driving behavior (including urban, rural, and motorway driving phases) while ensuring that the overall test structure remains controlled and repeatable for valid comparisons.
2Reliability
If test runs are conducted on the road with stochastic influencing factors, then real-world emission compliance is ensured, but the difficulty in controlling factors makes it virtually impossible to conduct two measurements under comparable conditions
Solution Approach 1:
The patent applies preliminary action by pre-defining the test run parameters, speed profile, and driving maneuvers before the actual test execution. The test run is generated in advance with specific speed values, acceleration patterns, and maneuver sequences that capture real-world driving characteristics. This preliminary structuring ensures that when the test is executed, the conditions are controlled and repeatable, enabling precise comparisons while still representing real-world emission scenarios.
3Reliability
If arbitrary driving conditions are used for RDE testing, then the best possible level of emissions robustness is achieved, but it becomes impossible to directly compare effects of modifications to a baseline
Solution Approach 1:
The patent applies segmentation by dividing the test run into distinct, identifiable components including speed profile segments, load sequence segments, and specific driving maneuvers. Each segment can be independently defined, executed, and analyzed. This segmentation allows modification effects to be isolated and compared against baseline conditions in a structured manner, reducing the complexity of comparing arbitrary driving conditions while maintaining emissions robustness.
Data Source
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AI summary
The invention relates to a computer-aided method and a system for generating a test run, in particular a load sequence and/or a speed sequence, wherein the test run is suitable for simulating, in particular, a real operation of at least one test object, in particular a vehicle and/or a powertrain and/or a vehicle component, comprising the following steps: determining a data set which contains operating data of at least one usage cycle of a vehicle or a plurality of usage cycles of vehicles; normalizing the operating data of the usage cycle or usage cycles; checking at which points in the usage cycle or usage cycles emission-relevant events occur; assigning a driving maneuver present at each of these points to the emission-relevant events; generating the test run based on the assigned driving maneuvers; and outputting the test run.