Modeling the Gas Exchange Processes of a Modern Diesel Engine With an Integrated Physics-Based and Data-Driven Approach

2019 ◽  
Author(s):  
Jorge Pulpeiro Gonzalez ◽  
King Ankobea-Ansah ◽  
Elena Escuder Milian ◽  
Carrie M. Hall
Keyword(s):  
Diesel Engine ◽  
Gas Exchange ◽  
High Efficiency ◽  
Direct Injection ◽  
Data Driven ◽  
Model Framework ◽  
Variable Valve Actuation ◽  
Exchange Processes ◽  
Data Driven Approach ◽  
Using Data

Abstract The gas exchange processes of engines are becoming increasingly complex since modern engines leverage technologies including variable valve actuation, turbochargers, and exhaust gas recirculation. Control of these many devices and the underlying gas flows is essential for high efficiency engine concepts. If these processes are to be controlled and estimated using model-based techniques, accurate models are required. This work explores a model framework that leverages a data-driven model of the turbocharger along with submodels of the intercooler, intake and exhaust manifolds and engine processes to provide cylinder-specific predictions of the pressure and temperatures of the gases across the system. This model is developed and validated using data from a 2.0 liter VW turbocharged, direct-injection diesel engine and shown to provide accurate prediction of critical gas properties.

On the integration of physics-based and data-driven models for the prediction of gas exchange processes on a modern diesel engine

2021 ◽  
pp. 095440702110314
Author(s):  
Jorge Pulpeiro González ◽  
King Ankobea-Ansah ◽  
Qian Peng ◽  
Carrie M. Hall
Keyword(s):  
Neural Network ◽  
Diesel Engine ◽  
Gas Exchange ◽  
Path Model ◽  
Data Driven ◽  
Intake Manifold ◽  
Engine Operation ◽  
Engine Model ◽  
Model Based ◽  
Exchange Processes

The need for precise control of complex air handling systems on modern engines has driven research into model-based methods. While model-based control can provide improved performance over prior map-based methods, they require the creation of an accurate model. Physics-based models can be precise, but can also be computationally expensive and require extensive calibration. To address this limitation, this work explores the integration of data-driven models into an overall physics-based framework and applies this approach to the gas exchange processes of a diesel engine with a variable geometry turbocharger and exhaust gas recirculation. One of the most complex parts of this gas exchange loop is the turbocharger. Data-driven methods are used to capture the turbocharger performance and are also applied to the intake manifold, while the simpler features are captured with more traditional physics-based models. This combined modeling approach is able to capture the temperature and pressure dynamics with varying error levels depending on measurement availability and the inter-dependency of the submodels, with the turbocharger neural network model achieving a Normalized Mean Square Error (NMSE) of 5e-5 and the overall engine model achieving a NMSE of 4.5e-3. The work illustrates that the integration of data-driven models can improve overall model accuracy and may be able to reduce the number of sensors needed on the system. The contributions of this work are the development and demonstration of a neural network based turbocharger model and intake air path model, the development of empirical equation-based models for the rest of the engine components along the air path and the demonstration of the integration and interaction of these two types of model to adequately characterize engine operation for control applications.

Using data-driven approach for wind power prediction: A comparative study

2016 ◽  
Vol 118 ◽  
pp. 193-203 ◽  
Author(s):  
Ehsan Taslimi Renani ◽  
Mohamad Fathi Mohamad Elias ◽  
Nasrudin Abd. Rahim
Keyword(s):  
Comparative Study ◽  
Wind Power ◽  
Data Driven ◽  
Power Prediction ◽  
Wind Power Prediction ◽  
Data Driven Approach ◽  
Using Data

A Data Driven Approach to Study the Social and Political Statuses of Urban Communities in Kunming

2020 ◽  
Vol 4 (2) ◽  
pp. 461-481
Author(s):  
Charles Chang
Keyword(s):  
Urban Communities ◽  
Computational Analysis ◽  
Critical Evaluation ◽  
Data Driven ◽  
Accurate Information ◽  
Sufficient Detail ◽  
The Social ◽  
Data Driven Approach ◽  
Using Data ◽  
Political Economic

AbstractThis article presents a data-driven approach to the study of the social and political statuses of urban communities in modern Kunming. Such information is lacking in government maps and documents. Using data from a wide variety of sources, many unconventional, I subject them to critical evaluation and computational analysis to extract information that can be used to produce a land use map of sufficient detail and accuracy to allow scholars to address and even answer questions of a socio-political, economic and, indeed, humanistic nature. My method can also be applied to other Chinese cities and to cities elsewhere that lack accurate information.

Forecast of chemostat dynamics using data-driven approach

2021 ◽  
Author(s):  
Benaissa Dekhici ◽  
Boumediene Benyahiya ◽  
Brahim Cherki
Keyword(s):  
Data Driven ◽  
Data Driven Approach ◽  
Using Data

Dynamics and path tracking of continuum robotic arms using data-driven identification tools

Robotica ◽  
2021 ◽  
pp. 1-27
Author(s):  
Aida Parvaresh ◽  
S. Ali A. Moosavian
Keyword(s):  
Inverse Dynamics ◽  
Computational Cost ◽  
Experimental Tests ◽  
Path Tracking ◽  
Data Driven ◽  
Robotic Arms ◽  
Rod Theory ◽  
Data Driven Approach ◽  
Using Data ◽  
Continuum Robotic

Abstract In this paper, forward/inverse dynamics of a continuum robotic arm is developed using a data-driven approach, which could tackle uncertainties and extreme nonlinearities to obtain reliable solutions. By establishing a direct mapping between the actuator and task spaces, the unnecessary mappings of actuator-to-configuration then configuration-to-task are eliminated, to reduce extra computational cost. The proposed approach is validated through simulation (based on Cosserat rod theory) and experimental tests on RoboArm. Next, path tracking in the presence/absence of obstacles as well as load carrying maneuver are investigated. Finally, the obtained results concerning repeatability, scalability, and disturbance rejection performance of the approach are discussed.

Sign in / Sign up

Export Citation Format

Share Document