Simplified Models of Engine Hc Emissions, Exhaust Temperature and Catalyst Temperature for Automotive Coldstart

Zavala, J.Carlos; Sanketi, Pannag R.; Wilcutts, Mark; Kaga, Tomoyuki; Hedrick, J. Karl

doi:10.3182/20070820-3-us-2918.00028

Cited by 23 publications

(12 citation statements)

References 16 publications

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“…In the case of spark ignited (SI) engines, exhaust temperature for higher loads lies in the region of 600 °C, and in some cases, may even reach 900 °C, while at idle, it lies in the region of 300 °C, [22], and according Zavala et al [18], engine speed has a The PI controller uses the set speed N set and the actual speed N to set the value of the control variable volumetric efficiency η vp . The physical limits of the system are defined by a saturation filter.…”

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confidence: 99%

“…In the case of spark ignited (SI) engines, exhaust temperature Energies 2017, 10,1948 4 of 14 for higher loads lies in the region of 600 • C, and in some cases, may even reach 900 • C, while at idle, it lies in the region of 300 • C, [22], and according Zavala et al [18], engine speed has a stronger influence than the air mass inlet rate on exhaust temperature. At the time of this writing, the most relevant study on the behaviour of the exhaust temperature of SI engines has been found to have been conducted by Eriksson [23], who based on results from crank angle based combustion models assumed a linear dependence of the exhaust temperature on the exhaust mass flow rate.…”

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confidence: 99%

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Internal Combustion Engine Model for Combined Heat and Power (CHP) Systems Design

2017

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Abstract:A model based, energy focused, quasi-stationary waste heat driven, internal combustion engine (ICE) centred design methodology for cogeneration (heat and electricity) systems is presented. The developed parametric model could be used for system sizing, performance evaluation, and optimization. This paper presents a systematic approach to model the behaviour of the CHP system using heat recovery prediction methods. The modular, physics based modelling environment shows the power flow between the system components, with a special emphasis on the ICE subsystems, parameter identification, and model validation.

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confidence: 99%

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confidence: 99%

Internal Combustion Engine Model for Combined Heat and Power (CHP) Systems Design

2017

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“…8, the observer needs data for turbine pressure and temperature. These data are either estimated [22,23] The new turbine model is applied to the observer in Fig.8. Performance of the observer is evaluated in terms of stability and accuracy by changing the engine working conditions.…”

Section: Turbocharger Nonlinear Observermentioning

confidence: 99%

Control oriented modeling of a radial turbine for a turbocharged gasoline engine

Salehi

Shahbakhti

Alasty

et al. 2013

2013 American Control Conference

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This paper presents a control oriented model for predicting turbine major variables in a turbocharged spark ignition engine. The turbine is simulated as a two-nozzle chamber where the pressure ratio over the two nozzles is not the same. A convex nonlinear estimation algorithm is formulated to determine the relation between these pressure ratios. The new model is experimentally validated with transient and steady state data collected from a 1.7 liter gasoline engine. The results show the new model can predict the turbine mass flow with an average error of 1.4%. In addition, the application of the turbine model is illustrated for the design of a nonlinear observer to estimate the turbocharger non-measured variables. The designed observer is tested against experimental data and the results confirm the observer capability to estimate the turbine rotor speed, flow over the compressor and temperature downstream the compressor.

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“…Thus, other than the accuracy and complexity of the model, there is another important element, namely flexibility or the capability of being retrained over the working cycle of the ICE system, which should be taken into account. By using an identifier (observer) which can retain its accuracy over the entire working cycle, it is possible to develop efficient closed-loop engine coldstart controllers which, in turn, can gratify the stringent legislative regulations targeting the low level tailpipe emissions of unburned HCs [10].…”

Section: Introductionmentioning

confidence: 99%

A robust time delay auto-regressive exogenous fuzzy inference system for real-time estimation of catalyst temperature over engines coldstart operation: a multiobjective implementation scenario

Mozaffari

Azad

2014

Int. J. Dynam. Control

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In the current investigation, the authors propose an intelligent real-time system to dynamically simulate the catalyst temperature in automotive engines over the coldstart period. In general, the behavior of an engine during the first few minutes of its operation, namely the coldstart period, is highly transient and nonlinear. However, it is important to the engineers of automotive industry to develop advanced simulation techniques capable of capturing the engine system's behavior during coldstart periods. The main motivation behind such a fact emanates in the pursuit of making successful strides towards decreasing the amount of unburned hydrocarbon emissions (HCs) of the engine. Catalytic convertors play a pivotal role in reducing the amount of this emitted pollutant. Therefore, here, the authors develop a knowledge based intelligent identification system, based on the integration of a low-level fuzzy identification machine (FIM) identifier and a hyper-level multiobjective optimizer, to monitor the catalyst temperature over the coldstart period for a given automotive engine system. In the current investigation, the authors propose the use of synchronous self-learning Pareto strategy for the multi-objective optimization of the architecture of FIM. To suit the intelligent scheme for online applications, the authors capture the required database using the concept of nonlinear auto-regressive exogenous systems. The developed intelligent approach can be used as a real-time soft sensor to observe the state of the catalytic convertor and send the required data to the coldstart controller. To ensure the efficacy of the resulting time delay FIM framework, it is used for capturing the catalyst temperature in three different experimental conditions. Through a comparative numerical study, it is demonstrated that the proposed soft sensor can be efficiently used for real-time estimations of the catalyst temperature. Besides, the results let us make sure that intelligent approaches have an aptitude to be effectively used as real-time observers instead of expensive commercial sensors. Generally, the results of the current investigation substantiates the authenticity of advanced computational approaches for coping with the considered identification problem, to help resolving one of the challenging issues in the field of automotive engineering, that is, the coldstart HC emission reduction.

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Simplified Models of Engine Hc Emissions, Exhaust Temperature and Catalyst Temperature for Automotive Coldstart

Cited by 23 publications

References 16 publications

Internal Combustion Engine Model for Combined Heat and Power (CHP) Systems Design

Internal Combustion Engine Model for Combined Heat and Power (CHP) Systems Design

Control oriented modeling of a radial turbine for a turbocharged gasoline engine

A robust time delay auto-regressive exogenous fuzzy inference system for real-time estimation of catalyst temperature over engines coldstart operation: a multiobjective implementation scenario

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