Marco Moser

Marco Moser
IAV · Powertrain Research

Diplom
diesel and gasoline ICE engine out emission machine learning models; NOx sensor OBD; DOC/PNA OBD

About

14
Publications
946
Reads
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4
Citations
Citations since 2017
11 Research Items
4 Citations
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
Introduction
Data Analysis and Machine Learning for automotive combustion engines: OBM, OBD, EU7 Focus on Diagnosis for DOC, LNT, SCR and NOx sensors.

Publications

Publications (14)
Poster
Full-text available
IAV developed an combination of a MAP-based raw emission model, which is input to a Neural Network. Focus is on raw emissions from ICE vehicle (NOx, CO, HC, PM.....) The MAP is calibrated with stationary measurements from a engine test bench with high robustness through DoE methods and a wide range of input variation (tolerances and calibration ran...
Presentation
Full-text available
OBM for Euro 7 needs high class emission models for cold start and a good anomaly pinpointing for OBD
Conference Paper
Full-text available
The upcoming EU7 emission standards will likely impose new regulations on passenger and commercial vehicles that could be very challenging for on-board emission monitoring (OBM). Key point with OBM is emission compliance under all relevant driving conditions. Limited availability of sensor technologies will require to model the emissions from engin...
Poster
Full-text available
Raw-Emission Modelling for EU7. Machine Learning Approach for OBM and OBD to model ICE emissions.
Presentation
Full-text available
DOC Ageing and Diagnosis without DPF Regeneration
Conference Paper
Full-text available
Conventional methods of physicochemical models require various experts and a high measurement demand to achieve the required model accuracy. With an additional request for faster development time for diagnostic algorithms, this method has reached the limits of economic feasibility. Machine learning algorithms are getting more popular in order to ac...
Presentation
Full-text available
On-Board Monitoring for EU7 will need a Holistic Approach to use the sensors and models in Exhaust Gas Treatment for giving the best values for the different gaseous species. Ageing and tolerances of the components have to be addressed for OBM and used for OBD and Controls as well. The approach is the same for diesel and gasoline engines.
Presentation
Full-text available
RF Antenna for SCR, TWC, GPF - Machine Learning for Load Measurement. Developed by University of Bayreuth (Prof. Moos) and Continental/Vitesco. Between 2014 and 2019 investigation of this sensor by IAV on different SCR systems. Very promising results.
Presentation
Full-text available
Machine Learning for Exhaust AfterTreatment
Presentation
Full-text available
Radio Frequency Antenna for Direct SCR Load Measurement High potential of RF antenna for SCR load determination
Presentation
Full-text available
Simulation-based Generation of Specifications for a new Sensor Concept in Diesel Exhaust Treatment Applications
Article
A schematic diagram of a diesel engine with exhaust gas aftertreatment (DOC, DPF and SCR) is shown in ➊. During the test drive, gas composition measurement readings are recorded at sampling points downstream of the DPF. As the relevant sensors are not available in the vehicle, this is only possible with appropriate measuring equipment — for example...

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