A dynamic nucleate-boiling model for CO2 reduction in internal combustion engines

Bova, Sergio; Castiglione, Teresa; Piccione, Rocco; Pizzonia, Francesco

doi:10.1016/j.apenergy.2015.01.047

Cited by 35 publications

(13 citation statements)

References 17 publications

(22 reference statements)

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“…The model predicts the occurrence of nucleate boiling by defining a metric for nucleate boiling detection. An extensive description of the model and controller is included in [30,34]; however, both the model and the controller are briefly described in the following subsections for the sake of clarity.…”

Section: Methodsmentioning

confidence: 99%

“…A zero-dimensional approach is adopted for modeling the heat transfer between the engine walls and the coolant; the model dynamically predicts the occurrence of nucleate boiling [34]. The spatial-averaged wall and coolant temperatures, T W and T C are obtained from the following energy conservation equations:…”

Section: Engine Thermal Modelmentioning

confidence: 99%

“…Q g is estimated by Equation (3) developed in [34], which includes the fuel flow rate, m f , the coolant flow rate, m c , and the engine speed, N:…”

Section: Engine Thermal Modelmentioning

confidence: 99%

“…The heat-transfer rate to the coolant is determined by the following correlation: . Q g is estimated by Equation (3) developed in [34], which includes the fuel flow rate, . m f , the coolant flow rate, .…”

Section: Engine Thermal Modelmentioning

confidence: 99%

“…where q w is the actual thermal flux through the engine walls and q ONB is the threshold thermal flux, which determines the nucleate boiling onset [34]. The heat transfer rate from the coolant to the atmosphere through the radiator is computed as:…”

Section: Of 22mentioning

confidence: 99%

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Application of a Model-Based Controller for Improving Internal Combustion Engines Fuel Economy

et al. 2020

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Improvements in internal combustion engine efficiency can be achieved with proper thermal management. In this work, a simulation tool for the preliminary analysis of the engine cooling control is developed and a model-based controller, which enforces the coolant flow rate by means of an electrically driven pump is presented. The controller optimizes the coolant flow rate under each engine operating condition to guarantee that the engine temperatures and the coolant boiling levels are kept inside prescribed constraints, which guarantees efficient and safe engine operation. The methodology is validated at the experimental test rig. Several control strategies are analyzed during a standard homologation cycle and a comparison of the proposed methodology and the adoption of the standard belt-driven pump is provided. The results show that, according to the control strategy requirements, a fuel consumption reduction of up to about 8% with respect to the traditional cooling system can be achieved over a whole driving cycle. This proves that the proposed methodology is a useful tool for appropriately cooling the engine under the whole range of possible operating conditions.

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Section: Methodsmentioning

confidence: 99%

Section: Engine Thermal Modelmentioning

confidence: 99%

“…Q g is estimated by Equation (3) developed in [34], which includes the fuel flow rate, m f , the coolant flow rate, m c , and the engine speed, N:…”

Section: Engine Thermal Modelmentioning

confidence: 99%

Section: Engine Thermal Modelmentioning

confidence: 99%

Section: Of 22mentioning

confidence: 99%

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