On Markov stochastic processes with local interaction for solving some applied problems

Knopov, P. S.; Samosonok, A. S.

doi:10.1007/s10559-011-9317-3

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Real-world route retracing with operating point reproduction [27][28][29][30] can transfer realworld driving behaviors or environments to test benches or simulations, with the added ability to test different traffic scenarios [15]. Synthetically generated statistical driving profiles-primarily using Markov chains [31]-are utilized to represent regional driving behavior and are the focus of the research in [32][33][34][35][36][37]. Worst-case cycles generated using Design-of-Experiments (DoE) based on engine test benches or simulations are used for the final testing of the most intensive test cases, suggesting a safety-oriented approach, as described in [38][39][40][41].…”

Section: State-of-the-art-novel Methods For Vehicle Calibrationmentioning

confidence: 99%

Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration

Krysmon,

Pischinger,

Claßen

et al. 2024

Future Transportation

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Further reducing greenhouse gas and pollutant emissions from road vehicles is a major task for the automotive industry. Stricter regulations regarding emissions and fleet fuel consumption require the continuous development of new powertrains and methods. In particular, the combination of hybrid powertrains on the technical side and the focus on real driving emissions (RDE) on the legislative side pose significant challenges to the vehicle calibration process. Against this background, new test methods and environments are being investigated to counteract the high number of interactions between hybrid drive systems and quasi-infinite test conditions due to RDE. Complementary to new test environments, innovative methods for data analysis are needed that allow the exploitation of the complete potential of measurement data. The application of such a method in the field of emission calibration is presented in this paper. For this purpose, a clustering method (HDBSCAN) is applied to critical sequences from emission tests. Within this presentation, the clustering process is based on a single signal only. This paper shows how signals of various characteristics can be processed with dynamic time warping and generically structured with the clustering method used. Here, 959 single events are automatically categorized into 24 clusters. This provides a new basis for system evaluation, enabling the automatic identification, categorization, and prioritization of calibration weaknesses. Using twelve signals of different characteristics, the generic usability of the clustering method is demonstrated.

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Section: State-of-the-art-novel Methods For Vehicle Calibrationmentioning

confidence: 99%

Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration

Krysmon,

Pischinger,

Claßen

et al. 2024

Future Transportation

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show abstract

“…This background information is used to parameterize transition matrices for Markov chains. These Markov chains [97] determine probable implications for characteristic values, such as vehicle speeds and accelerations, and thus enable the creation of a driving profile that is characterized by an average typical European speed and acceleration pattern. However, the emission behavior of a vehicle is not considered in these methods.…”

Section: Synthetically Designed Cycles Based On (Regionally) Relevant...mentioning

confidence: 99%

Real Driving Emission Calibration—Review of Current Validation Methods against the Background of Future Emission Legislation

et al. 2021

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Reducing air pollution caused by emissions from road traffic, especially in urban areas, is an important goal of legislators and the automotive industry. The introduction of so-called “Real Driving Emission” (RDE) tests for the homologation of vehicles with internal combustion engines according to the EU6d legislation was a fundamental milestone for vehicle and powertrain development. Due to the introduction of non-reproducible on-road emission tests with “Portable Emission Measurement Systems” (PEMS) in addition to the standardized emission tests on chassis dynamometers, emission aftertreatment development and validation has become significantly more complex. For explicit proof of compliance with the emission and fuel consumption regulations, the legislators continue to require the “Worldwide Harmonized Light Duty Vehicle Test Cycle” (WLTC) on a chassis dynamometer. For calibration purposes, also various RDE profiles are conducted on the chassis dynamometer. However, the combination of precisely defined driving profiles on the chassis dynamometer and the dynamics-limiting boundary conditions in PEMS tests on the road still lead to discrepancies between the certified test results and the real vehicle behavior. The expected future emissions standards to replace EU6d will therefore force even more realistic RDE tests. This is to be achieved by significantly extending the permissible RDE test boundary conditions, such as giving more weight to the urban section of an RDE test. In addition, the introduction of limit values for previously unregulated pollutants such as nitrogen dioxide (NO2), nitrous oxide (N2O), ammonia (NH3) and formaldehyde (CH2O) is being considered. Furthermore, the particle number (for diameters of solid particles > 10 nm: PN10), the methane (CH4) emissions and emissions of non-methane organic gases (NMOG) shall be limited and must be tested. To simplify the test procedure in the long term, the abandonment of predefined chassis dyno emission tests to determine the pollutant emission behavior is under discussion. Against this background, current testing, validation, and development methods are reviewed in this paper. New challenges and necessary adaptations of current approaches are discussed and presented to illustrate the need to consider future regulatory requirements in today’s approaches. Conclusions are drawn and suggestions for a robust RDE validation procedure are formulated.

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On the Nash Equilibrium in Stochastic Games of Capital Accumulation on a Graph

Чорней

2018

Advances in Intelligent Systems and Computing

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On Markov stochastic processes with local interaction for solving some applied problems

Cited by 6 publications

References 11 publications

Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration

Applying Density-Based Clustering for the Analysis of Emission Events in Real Driving Emissions Calibration

Real Driving Emission Calibration—Review of Current Validation Methods against the Background of Future Emission Legislation

On the Nash Equilibrium in Stochastic Games of Capital Accumulation on a Graph

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