Validation and Calibration Process of Powertrain Model for Engine Torque Control Development
ABSTRACT
The growing complexity of engine control systems and
its integration with vehicle dynamics controls systems
has lead to the use of torque-based engine control.
Torque-based control enables flexibility and
expandability of the powertrain control system structure.
It allows new engine technologies (displacement on
demand, cam phasing, supercharger, etc.) to be easily
incorporated, to coordinate better engine and
transmission controls, and to enable a simpler control
structure than current production controls. This paper
describes the role of Engine Torque Control in a torquebased
control system and it formulates main
requirements to a model-based control strategy.
Development of this strategy is impossible without an
accurate model of powertrain system. There are many
publications describing models of powertrain system
elements for research purpose, however only few
provided us with information about model validation,
calibration process and accuracy for production. This
paper considers a mean-value powertrain model for
Engine Torque Control and it describes model validation
and calibration process. This model may be used in
different Engine Torque Control design phases such as
control structure design, robustness and stability
analysis, and DFMEA. It incorporates engine,
transmission, and vehicle models with mean-value type
of fidelity that is good for Engine Torque Control design.
The influence of different powertrain parameters on
Engine Torque Control will be discussed. This paper
provides substantial experimental results that confirm
the model's validity under various operational conditions.
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附件(1MB) 2004-01-0902v001.pdf