Turbine adapted maps for turbocharger engine matching

Tancrez, M; Galindo, José; Guardiola, Carlos; Fajardo, P.; Varnier, Olivier

doi:10.1016/j.expthermflusci.2010.07.018

Cited by 36 publications

(22 citation statements)

References 12 publications

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“…T. Thurnheer et al [8], present an experimental investigation on different injection strategies in a heavy-duty diesel engine and the uncertainty of different measurements is shown but no propagation is done. M. Tancrez et al [9] present a new representation of the turbine performance maps oriented for turbocharger characterisation and it is said when using some representations of turbine maps in numerical simulations the uncertainties of the measurements can propagate very amplified to the final results, so it is very important to quantify them. In the work presented by P. Günther et al [10] the deformation and the movement of a high speed rotor is measured and the uncertainties involved are quantified.…”

Section: Introductionmentioning

confidence: 99%

Uncertainties in power computations in a turbocharger test bench

et al. 2015

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A specific study of the uncertainties of turbine power output measured in turbocharger test benches is presented using the law of uncertainty propagation and the influence of the different terms that contribute to it is shown. Then, non-linear mixed integer mathematical programming algorithms used with the turbine power uncertainty expression become an essential tool to overcome the problem of selection new sensors to improve an existing test rig or to contribute to a new one. A method of optimisation is presented for two different scenarios: first, where the maximum cost is a constraint; second where the maximum uncertainty is a constraint and the total cost is minimised. When using a large transducers database, computational efforts may be reduced by solving the relaxed non-integer problem by means of sequential quadratic programming and then probing the ceilings and floors of the parameters to get an optimum approximation with low costs. A comparison between the linear uncertainty propagation model and Monte Carlo simulations is also presented, only showing benefits of the later method when computing high order statistical moments of the turbine power output probability distribution.

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Section: Introductionmentioning

confidence: 99%

Uncertainties in power computations in a turbocharger test bench

et al. 2015

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“…All the measured points collapse in a single quadratic curve and thus, easy to interpolate. It has been proved that this representation is quite robust [56]. In the figure, the adapted curve obtained from data measured on a gas-stand is compared to points measured on-engine at different speed and load.…”

Section: Wastegated Fixed Geometry Turbinementioning

confidence: 99%

A New Model for Matching Advanced Boosting Systems to Automotive Diesel Engines

Galindo¹,

Luján²,

Climent³

et al. 2014

SAE Int. J. Engines

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Boosting technologies have been key enablers for automotive engines development through downsizing and downspeeding. In this situation, numerous multistage boosting systems have appeared in the last decade. The complexity arising from multistage architectures requires an efficient matching methodology to obtain the best overall powertrain performance. The paper presents a model aimed to choose the best 2-stage boosting system architecture able to meet required criteria on boosting pressure, EGR ratios for both short and long route loops while respecting the engine thermo-mechanical limits such as in-cylinder pressure, compressor outlet temperature and exhaust manifold temperature. The model includes filling-and-emptying 0D elements together with mean value. The engine model is set in a way that, for given requirements and boosting system layout, calculates in seconds if the requirements will be achieved and the position of variable geometry, waste-gate, EGR and bypass valves. The model is thus inversed thanks to a new representation of turbine maps that converts the classical iterative matching procedure in straight forward. The model can be also used in a predictive manner to calculate the engine transient response. The model has been calibrated to 3 different turbocharged diesel engines. The model gives good results provided that wave effects are not important. This is the case of compact exhaust manifolds, typically used in turbocharged diesel engines, below 3500 rpm. Tuned intake air lines can be taken into account through a tuning parameter affecting boosting pressure. An example is given in the paper for the matching procedure in a 2-stage, double route EGR, including steady and transient results.

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“…This value of the ICE -TC parameter, determined at the ship design stage, will ensure minimum total fuel consumption for the entire life. According to this value, the LSE is set at the engine manufacturing stage, i. e. the TC with the appropriate dimensions of its flowpaths is installed, the compression ratio and gas distribution are regulated [1,3]. However, there are no recommendations on this issue with regard to transport vessels with a kite.…”

Section: Introductionmentioning

confidence: 99%

Tools for forecasting and optimizing the tuning parameter of the lowspeed engine for designing a ship with the kite

Shostak

Kisarova

2018

EEJET

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Досліджується вплив параметра узгодження «двигун внутрішнього згоряння-турбокомпресор» на витрату палива за строк служби судна за допомогою імітаційної математичної моделі. Встановлено, що для танкера з двигуном 6S50ME-C7 і кайтом 640 м 2 оптимальний параметр відповідає точці узгодження на гвинтовій характеристиці двигуна з координатою по навантаженню 60,5 % від номінального. Економія палива від оптимізації на стадії проектування судна становитиме за строк експлуатації на рейсовій лінії в Північній Атлантиці близько 3 % Ключові слова: імітаційна модель, малообертовий двигун, турбокомпресор, точка узгодження, кайт, витрата палива Исследуется влияние параметра согласования «двигатель внутреннего сгорания-турбокомпрессор» на расход топлива за срок службы судна с помощью имитационной математической модели. Установлено, что для танкера с двигателем 6S50ME-C7 и кайтом площадью 640 м 2 оптимальный параметр соответствует точке согласования на винтовой характеристике двигателя с координатой по нагрузке 60,5 % от номинальной. Экономия топлива от оптимизации на стадии проектирования судна составит за срок эксплуатации на рейсовой линии в Северной Атлантике около 3 % Ключевые слова: имитационная модель, малооборотный двигатель, турбокомпрессор, точка согласования, кайт, расход топлива

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Turbine adapted maps for turbocharger engine matching

Cited by 36 publications

References 12 publications

Uncertainties in power computations in a turbocharger test bench

Uncertainties in power computations in a turbocharger test bench

A New Model for Matching Advanced Boosting Systems to Automotive Diesel Engines

Tools for forecasting and optimizing the tuning parameter of the lowspeed engine for designing a ship with the kite

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Turbine adapted maps for turbocharger engine matching

Cited by 36 publications

References 12 publications

Uncertainties in power computations in a turbocharger test bench

Uncertainties in power computations in a turbocharger test bench

A New Model for Matching Advanced Boosting Systems to Automotive Diesel Engines

Tools for forecasting and optimizing the tuning parameter of the low­speed engine for designing a ship with the kite

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Product

Resources

About

Tools for forecasting and optimizing the tuning parameter of the lowspeed engine for designing a ship with the kite