Scalable turbocharger performance maps for dynamic state-based engine models

Abstract

Adapting turbocharger performance maps to a form suitable for dynamic simulations is challenging for the following reasons: (1) the amount of available data is typically limited, (2) data are typically not provided for the entire operating range of the compressor and turbine and (3) the performance data are non-linear. To overcome these challenges, curve fits are typically generated using the performance data individually for each device. The process, however, can take uneconomical amounts of effort to implement for a range of compressors and turbines. This article introduces a method to implement non-dimensional performance maps thereby allowing a range of turbochargers to be modeled from the same performance data, reducing the effort required to implement models of different sizes. The non-dimensional maps seek to model the performance of compressor and turbine families in which the geometry of the rotor and housing are similar and allow the turbocharger to be scaled for simulation in much the same way used to design customized sizes of turbochargers. A method to match the non-dimensional compressor map to engine performance targets by selecting the compressor diameter is presented, as well as a method to match the turbine to the selected compressor.

Aproveitamento Energético Eficiente Do Glicerol – Modelamento No Estado Estacionário De Sistema Híbrido De Células a Combustível Do Tipo Óxido Sólido E Turbina a Gás

“…However, finding the most suitable compressor/turbine for a given application is a hard task, and the most efficient selection is not ensured. In this way, the approach developed by Bell and coworkers [13] is adopted in this study. Essentially, a dimensional analysis technique is employed to generate a suitable map once (generic, non-dimensional), and then adapt the map for use in simulation across a range of sizes.…”

An Evaluation of Turbocharging and Supercharging Options for High-Efficiency Fuel Cell Electric Vehicles

“…The compressors that were used in this study were derived from an Aeristech electric supercharger, which is able to reach a pressure ratio of 2.8 [15]. The experimental data that were used were adapted to this configuration by applying a reliable scaling method to adapt the compressor and the turbine to the size of the stack and the requirement of air mass flow [16][17][18].…”

Preliminary Investigation of the Performance of an Engine Equipped with an Advanced Axial Turbocharger Turbine

“…Even with the scaling laws simplified, matching a turbocharger to an engine is a far more difficult task in itself, as the turbomachinery diameter is not chosen but needs to be obtained to provide the desired performance, and this task needs to be accomplished simultaneously for both compressor and turbine. Bell et al [15] showed good results for scaling process by first identifying the compressor diameter and the torque required from the turbine to reach the necessary boost, yielding good turbocharger performance results at various engine sizes. However, the author does not show whether the results were matched to specific engine performances.…”

“…However, most methods investigated have not considered scaling the efficiency, which leads to the questions, should the efficiency be scaled, or is it acceptable to assume the change as negligible to the final results? The efficiency can be established as a function of the corrected shaft speed and the pressure ratio as shown in Equation (3) [15].…”

“…The method suggested by Bell et al [15] was used for scaling the turbocharger maps, as the baseline principles yielded good results for generation of maps with similar performances but at different sizes. However, the suggested method was not followed in full, as while the method provides conclusive results based on the work conducted, it was unable to provide a methodology that would allow effective engine-operating conditions matching.…”