Test Scenario Generation for Vehicle Emission Compliance
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Solution Overview
Problem
The existing standardized test cycles on test benches do not accurately reflect real-world driving conditions, making it difficult for vehicle manufacturers to ensure compliance with pollutant emissions and other development target variables, especially under the Real Driving Emissions (RDE) test procedure, which introduces random influences and unpredictability.
Innovation Solution
A method is developed to create targeted test scenarios on a test bench by performing a sequence of driving maneuvers, dividing the results into test segments, and selecting only critical maneuvers based on relevance criteria to ensure that the test specimen is triggered in a target-variable-critical manner, allowing for a compact and informative test that exposes weaknesses and optimizes development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standardized test cycles are used on test benches, then test procedures are simple and reproducible, but the test results do not reflect real-world driving conditions and may not guarantee compliance with pollutant emissions threshold values
Solution Approach 1:
The test procedure is divided into multiple driving maneuvers (acceleration, deceleration, constant speed, idling) that can be selectively combined to create test scenarios reflecting real-world conditions. Each maneuver can be independently configured and combined to achieve the desired test objectives while maintaining reproducibility on the test bench.
Solution Approach 2:
The test system dynamically adjusts the sequence, duration, and parameters of driving maneuvers based on the specific test objectives and vehicle characteristics. This allows the test procedure to adapt to different real-world driving conditions while remaining controllable and reproducible on the test bench through automated control.
2Reliability
If Real Driving Emissions (RDE) test procedure is used on actual roads, then pollutant emissions threshold values can be verified under normal operating conditions, but the test is subject to random influences and is not reproducible
Solution Approach 1:
The invention creates virtual copies of real-world driving conditions through simulated driving maneuvers on the test bench. By replicating characteristic maneuvers (acceleration, deceleration, constant speed, idling) with controlled parameters, the system reproduces the essential features of real driving conditions without the random influences present in actual road testing, thereby achieving both verification and reproducibility.
3Reliability
If all possible operating states are combined in one test scenario, then comprehensive coverage of development target variables is achieved, but the test becomes extremely long and complex, slowing down development
Solution Approach 1:
The comprehensive test scenario is segmented into discrete driving maneuvers (acceleration, deceleration, constant speed, idling) that can be selectively combined. This allows the test to cover all necessary operating states while maintaining flexibility in selecting only the relevant maneuvers for each specific development target, thereby reducing unnecessary test time and complexity.
Solution Approach 2:
Instead of always executing all possible operating states, the system applies partial action by selecting only the necessary maneuvers based on the specific development targets being tested. This optimized approach ensures comprehensive coverage when needed while reducing test duration for less critical targets, balancing thoroughness with development efficiency.
Data Source
AI summary
In order to be able to construct test scenarios for vehicle development, with which tests can be carried out on a test bench during development, according to the present teaching, an output test in the form of a sequence of driving manoeuvres is carried out on the test bench with the test specimen and a value of the target variable is determined in this way. The result of the acquisition of the target variable resulting from the output test is divided into test segments and each test segment is checked for target-variable-critical relevance by means of a predetermined target variable relevance criterion. A driving maneuver assigned to the test segment or an assigned driving maneuver segment is recorded in the test if the target-variable-critical relevance of the test segment is given.


