s the EU7 legislation comes into force, the automotive
industry is faced with the task of implementing new
OBM systems, which identify emissions in real time
while considering parameters such as damaged components,
fuel quality, or environmental conditions. This requires robust
calibration and validation procedures, as well as seamless
integration witLoYt inƽYence on otLer veLicle JYnctions. 8Le
3&1 system mYst also Fe verified Fy inservice comTliance
tests as per the EU7 regulations. AVL offers evolutionary and
revolutionary solutions to meet these challenges.
The Evolutionary Approach
This approach builds upon the traditional, existing control unit
functionality, sensors, and empirical models. It emphasizes
the optimization of current OBD systems (on-board diagnosis
systems). Additional logical functions are implemented to
extend the usage of the existing control unit channels for
plausibility checks at system level.
% Trimary strategy oJ tLis aTTroacL is tLe refinement oJ e\isting
sensor technologies (e.g., NOx sensors in diesel vehicles) to
improve their accuracy and reliability when detecting emissions.
The approach also focuses on the optimization of software
algorithms for emissions monitoring and diagnostics, to ensure
that the effect of partly damaged components can be evaluated
correctly at system level. The objective of the evolutionary
approach is to simplify the transition to EU7-compliant OBM
systems.
The Revolutionary Approach
This approach pushes the boundaries of traditional OBD systems
Fy incorTorating virtYali^ation and artificial intelligence %- . %
key innovation in this respect are virtual emissions sensors:
these utilize advanced physics-based or data-driven simulation
models to define emission levels Fased on inTYt Tarameters,
such as engine operation conditions or environmental factors.
Complementing the existing sensors, virtual sensors provide a
costeƾcient and scalaFle solYtion Jor 3&1 imTlementation.
Additionally, algorithms of machine learning are being
imTlemented. 8Le analysis oJ significant volYmes oJ sensor
data in real time allows AI-based OBM systems to detect
patterns indicating emission violations or malfunctions. This
enaFles Totential issYes to Fe detected and fi\ed at an early
stage. The result is improved overall reliability and effectiveness
of OBM systems, while maintaining compliance with EU7
legislation. The models also map aging effects and production
scatter bands, allowing the system to react more robustly to
attempted manipulation, and form a sound basis for predictive
maintenance.ɸ
– The Future of On-Board Monitoring
Powerful on-board monitoring systems (OBM systems) are a key
instrument for compliance with the new EU7 legislation. AVL offers
a range of approaches tailored to these specific requirements.
Evolution vs.
Revolution
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