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contributor authorZeng, Tao
contributor authorUpadhyay, Devesh
contributor authorZhu, Guoming
date accessioned2019-02-28T11:13:49Z
date available2019-02-28T11:13:49Z
date copyright3/27/2018 12:00:00 AM
date issued2018
identifier issn0022-0434
identifier otherds_140_06_061018.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254085
description abstractControl-oriented models for automotive turbocharger (TC) compressors typically describe the compressor power assuming an isentropic thermodynamic process with fixed isentropic and mechanical efficiencies for power transmission between the turbine and the compressor. Although these simplifications make the control-oriented model tractable, they also introduce additional errors due to unmodeled dynamics. This is especially true for map-based approaches since the manufacture-provided maps tend to be sparse and often incomplete at the operational boundaries, especially at operational conditions with low mass flow rate and low speed. Extrapolation scheme is often used when the compressor is operated outside the mapped regions, which introduces additional errors. Furthermore, the manufacture-provided compressor maps, based on steady-flow bench tests, could be quite different from those under pulsating engine flow. In this paper, a physics-based model of compressor power is developed using Euler equations for turbomachinery, where the mass flow rate and the compressor rotational speed are used as model inputs. Two new coefficients, speed and power coefficients, are defined. As a result, this makes it possible to directly estimate the compressor power over the entire compressor operational range based on a single analytic relationship. The proposed modeling approach is validated against test data from standard TC flow bench tests, standard supercharger tests, steady-state, and certain transient engine dynamometer tests. Model validation results show that the proposed model has acceptable accuracy for model-based control design and also reduces the dimension of the parameter space typically needed to model compressor dynamics.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Reduced Complexity Model for the Compressor Power of an Automotive Turbocharger
typeJournal Paper
journal volume140
journal issue6
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4039285
journal fristpage61018
journal lastpage061018-10
treeJournal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 006
contenttypeFulltext


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