This paper considers the problem of engine-to-slip dynamics modeling in a sport motorbike. Instead of using the classical approach of multibody modeling, this work takes the challenge of directly estimating the input/output slip dynamics by black-box identification, using data collected with experiments specifically designed for this purpose. The proposed identification protocol allows to deriv...

Alternative fueled engines offer greater challenges for engine control courtesy of uncertain fuel composition. This makes optimal tuning of input parameters like spark advance extremely difficult in most existing ECU architectures. This paper proposes the use of grey-box extremum seeking techniques to provide real-time optimization of the spark advance in alternative fueled engines. Since pract...

In order to reduce the atmospheric pollution emitted by automobiles, control devices are being incorporated in the vehicles in many countries. This has resulted in a reduced vehicle mileage to the extent of about fifteen percent. Without the introduction of new technology, any further reduction in emission levels would be expected to extract payment in the form of further fuel economy losses. I...

design. The program is very handy to make preliminary parametric studies which may later be validated experimentally. Another unique feature of the program is that it is able to simulate the onset of knock with increase in the compression ratio for specified value of the fuel's RON. A fully computerized, variable compression ratio, variable spark advance SI engine test rig has been used for thi...

In order to directly control the premixed combustion phasing, a Jet Controlled Compression Ignition (JCCI) for diesel premixed compression ignition systems is investigated. Experiments were conducted on a single cylinder natural aspirated diesel engine without EGR at 3000 rpm. Numerical models were validated by load sweep experiments at fixed spark timing. Detailed combustion characteristics we...

Neural network architectures are proposed to model and control the Spark-Ignition (SI) engine idle speed. Static and dynamic multi-layer neural networks are used to develop plant models and plant inverse function models. A neural network is trained to learn the system’s input-output relationship. Another is trained to model the inverse relationship of the plant and is included in the controller...

This paper presents a feedback deign approach to the cold-start speed control for spark ignition engines. First, in order to ensure successful combustion in the transient mode, a fuel injection controller is given based on the air charge estimation with inverse dynamics of fuel path, which is a dual sampling rate system, i.e. the estimation for the air charge is performed TDC-based, and the fue...

This study presents a semi-empirical modeling approach based on an extensive parametric using spark-ignition port-injection engine. The experimental results are used to derive engine-out emission models for each regulated pollutant (CO, HC, NOx) as function of engine operating parameters. Such parameters include speed, intake manifold pressure, equivalence ratio, and spark advance. proposed pro...