A physics-based, control-oriented turbocharger compressor model for the prediction of pressure ratio in stable and unstable conditions 2019-01-0320
Engine downsizing and boosting is currently the principal solution to reduce emissions and fuel consumption in automotive applications. A key challenge for controlling the boost pressure during highly transient operations lies in avoiding to operate the turbocharger compressor in its instability region, also known as surge. While this phenomenon is well known by control engineers, it is still difficult to accurately predict during transient operations. For this reason, the scientific community has directed considerable efforts to understand the phenomena leading to the onset of unstable behavior, principally through experimental investigations or high-fidelity CFD simulations. On the other hand, less emphasis has been placed on creating control-oriented models that adopt a physics-based (rather than data-driven) approach to predict the onset of instability phenomena. The ability to predict the onset of surge from simplified models and limited measurements can be very useful for the development of control algorithms to optimize the boost pressure in a wide set of operating conditions.
This work describes a modeling approach to capture some of the key thermodynamic effects associated to the transition from stable to unstable operations in turbocharger centrifugal compressors. Starting from the well-known Moore-Greitzer surge model, a physics-based 1D compressor model is integrated to calculate the steady state characteristic curves from conservation of mass, energy and angular momentum. The sudden drop of pressure ratio that occurs during transition into the unstable region is predicted by coupling a mean-line analysis with correlations that consider the losses generated by the jet and wake phenomena, as well as its effects on the pressure and velocity distribution at the exit of the impeller.
The model is calibrated and verified against experimental data acquired during tests performed on a turbocharger test bench at the University of Genoa, which include an analysis of the effects of shaft speed and circuit geometry on the onset of instabilities.
Anna Misley, Alexandra Taylor, Marcello Canova, Silvia Marelli, Massimo Capobianco
Universita Degli Studi Di Genova, Ohio State University, Universita Degli Studi di Genova