Predictive zero-dimensional combustion model for DI diesel engine feed-forward control

Catania, Andrea; Finesso, Roberto; Spessa, Ezio

doi:10.1016/j.enconman.2011.05.003

Cited by 90 publications

(91 citation statements)

References 42 publications

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“…The most commonly used types are the cycle mean value engine models (MVEM) [28][29][30][31][32] and the zero-dimensional models [33][34][35][36][37]. The former are fast running and need less input, but they require an elaborate setting up phase in order to predict the engine behaviour with sufficient accuracy.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

2015

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Abstract:In this article, the operation of a large two-stroke marine diesel engine including various cases with turbocharger cut-out was thoroughly investigated by using a modular zero-dimensional engine model built in MATLAB/Simulink environment. The model was developed by using as a basis an in-house modular mean value engine model, in which the existing cylinder block was replaced by a more detailed one that is capable of representing the scavenging ports-cylinder-exhaust valve processes. Simulation of the engine operation at steady state conditions was performed and the derived engine performance parameters were compared with the respective values obtained by the engine shop trials. The investigation of engine operation under turbocharger cut-out conditions in the region from 10% to 50% load was carried out and the influence of turbocharger cut-out on engine performance including the in-cylinder parameters was comprehensively studied. The recommended schedule for the combination of the turbocharger cut-out and blower activation was discussed for the engine operation under part load conditions. Finally, the influence of engine operating strategies on the annual fuel savings, CO2 emissions reduction and blower operating hours for a Panamax container ship operating at slow steaming conditions is presented and discussed. OPEN ACCESSEnergies 2015, 8 5739

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Section: Introductionmentioning

confidence: 99%

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

2015

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“…The models of the different components were assessed for on the basis of previous experimental tests [37][38][39]. In particular, the validation of the engine model was carried out over the NEDC considering warm and cold start operations.…”

Section: Validation Of the Vehicle Modelmentioning

confidence: 99%

Optimal Design of Power-Split HEVs Based on Total Cost of Ownership and CO2 Emission Minimization

et al. 2018

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An optimal design toolbox for hybrid electric vehicles has been developed and applied to three different vehicle segments (a compact vehicle, a small SUV and a medium-size SUV) for two separate power-split hybrid layouts, both equipped with a diesel engine. One layout features a (3gTR) whereas the other lacks of the additional 3-gear transmission. The toolbox combines the optimization of the vehicle design to that of the control strategy and is based on the minimization of the total cost of ownership (TCO) over the vehicle lifetime. The tool still retains the capability of complying with different performance and emission constraints. The identified optimal designs have proved to lead to a reduction of the CO 2 emissions by 50 to 55% and to a reduction of the TCO by 9 to 10% if compared to the conventional vehicle. Such results held for all classes of vehicle. A cost-benefit analysis and a break-even analysis have also been carried out. A mileage of 20,000 km/year over an urban driving scenario has turned out to possibly allow the driver to break even in about four years for the SUVs and in about six years for the compact vehicle. Finally, a linear correlation between the TCO and the specifications of the design components has been detected with a mean percentage error of about 0.1%. Such a correlation can be very helpful for vehicle design tasks.

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“…For the automatic calibration system, the AVL uses the software CAMEO as its kernel and the SCHENCK equipment uses the software VEGA as the kernel, both of which are based on the Association for Standardization of Automation and Measuring Systems (ASAM) platform. In recent years, many researchers have used AVL CAMEO to run intelligent engine calibration to minimize the testing effort on the basis of the Design of Experiment approach [11][12][13]. Meanwhile, in this paper the dSPACE system is chosen as the virtual calibration platform.…”

Section: Introductionmentioning

confidence: 99%

Fuel Economy Improvement of a Heavy-Duty Powertrain by Using Hardware-in-Loop Simulation and Calibration

Liu

et al. 2015

Energies

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Abstract:Fuel economy efficiency is one of the most important parameters for vehicle powertrains, which is of particular interest for heavy-duty powertrain calibration. Conventionally, this work relies heavily on road tests, which cost more and may lead to long duration product development cycles. The paper proposes a novel hardware-in-loop modeling and calibration method to work it out. A dSPACE hardware-based test bench was successfully established and validated, which is valuable for a more efficient and easier shift schedule in calibration. Meanwhile, a real-time dynamic powertrain model, including a diesel engine, torque converter, gear box and driver model was built. Typical driving cycles that both velocity and slope information were constructed for different road conditions. A basic economic shift schedule was initially calculated and then optimal calibrated by the test bench. The results show that there is an optimal relationship between an economic shift schedule and speed regulation. By matching the best economic shift schedule regulation to different road conditions; the fuel economy of vehicles can be improved. In a smooth driving cycle; when the powertrain applies a larger speed regulation such as 12% and the corresponding shift schedule; the fuel consumption is smaller and is reduced by 13%. In a complex driving cycle, when the powertrain applies a smaller speed regulation such as 5% along with the corresponding shift schedule; the fuel consumption is smaller and is reduced by 5%. The method thus can provide guidance for economic calibration experiments of off-road heavy-duty vehicles. OPEN ACCESSEnergies 2015, 8 9879

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Predictive zero-dimensional combustion model for DI diesel engine feed-forward control

Cited by 90 publications

References 42 publications

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

Analysis of Two Stroke Marine Diesel Engine Operation Including Turbocharger Cut-Out by Using a Zero-Dimensional Model

Optimal Design of Power-Split HEVs Based on Total Cost of Ownership and CO2 Emission Minimization

Fuel Economy Improvement of a Heavy-Duty Powertrain by Using Hardware-in-Loop Simulation and Calibration

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