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Computational Fluid Mechanics And Heat Transfer

Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy. Due to their great potential in solving difficult optimization problems, meta-heuristic algorithms have found their way into automobile engine design. There are different optimization problems arising in different areas of car engine management including calibration, control system, fault diagnosis, and modeling. In this paper we review the state-of-the-art applications of different meta-heuristic algorithms in engine management systems. The review covers a wide range of research, including the application of meta-heuristic algorithms in engine calibration, optimizing engine control systems, engine fault diagnosis, and optimizing different parts of engines and modeling. The meta-heuristic algorithms reviewed in this paper include evolutionary algorithms, evolution strategy, evolutionary programming, genetic programming, differential evolution, estimation of distribution algorithm, ant colony optimization, particle swarm optimization, memetic algorithms, and artificial immune system.

/pdf/meta-heuristic-algorithms-in-car-engine-design-a-literature-lvr49n8w5a.pdf

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Nonlinear Model Predictive Control of a Diesel Engine Air Path: A Comparison of Constraint Handling and Computational Strategies

Computational investigation of a large containership propulsion engine operation at slow steaming conditions

Artificial neural network applications in the calibration of spark-ignition engines: An overview

Implementing Turbomachinery Physics into Data Map-Based Turbocharger Models

Data maps are easy to put in place and require very low calculation time As a consequence they are often valued over fully physic-based models This is particularly true when it is question of turbochargers However, even if these maps are directly provided by the manufacturer, they usually do not cover the entire engine operating range and are poorly discretized That's why before implementing them into any model they need to be interpolated and extrapolated

Physical-Based Algorithms for Interpolation and Extrapolation of Turbocharger Data Maps

https://hal.archives-ouvertes.fr/hal-00752315/document

Simultaneous Air Fraction and Low-Pressure EGR Mass Flow Rate Estimation for Diesel Engines

In this paper, we consider the boundary control of the fresh air mass fraction in a Diesel engine operated with low-pressure exhaust gas recirculation. The air mass fraction transport phenomenon is modeled using a cascade of first-order linear parameter-varying hyperbolic systems with dynamics associated with their boundary conditions. By means of Lyapunov-based techniques, sufficient conditions are derived to guarantee the exponential stability of this class of infinite dimensional systems. We develop a polytopic approach to synthesize a robust boundary control that guarantees the exponential stability for a given convex parameter set. Simulation results illustrate the effectiveness of the proposed boundary control to regulate the mass fraction of fresh air in a Diesel engine.

/pdf/fresh-air-fraction-control-in-engines-using-dynamic-boundary-t9cr15epbo.pdf

Fresh Air Fraction Control in Engines Using Dynamic Boundary Stabilization of LPV Hyperbolic Systems

Pollutant emissions and fuel economy objectives have led car manufacturers to develop innovative and more sophisticated engine layouts. In order to reduce time-to-market and development costs, recent research has investigated the idea of a quasi-systematic engine control development approach. Model based approaches might not be the only possibility but they are clearly predetermined to considerably reduce test bench tuning work requirements. In this paper, we present the synthesis of a physics-based nonlinear model predictive control law especially designed for powertrain control. A binary search tree is used to ensure real-time implementation of the explicit form of the control law, computed by solving the associated multi-parametric nonlinear problem.

https://hal.archives-ouvertes.fr/hal-00920493/document

Vincent Talon

Papers

Implementing Turbomachinery Physics into Data Map-Based Turbocharger Models

Physical-Based Algorithms for Interpolation and Extrapolation of Turbocharger Data Maps

Simultaneous Air Fraction and Low-Pressure EGR Mass Flow Rate Estimation for Diesel Engines

Fresh Air Fraction Control in Engines Using Dynamic Boundary Stabilization of LPV Hyperbolic Systems

Explicit nonlinear model predictive control of the air path of a turbocharged spark-ignited engine