Research Papers

Evolutionary Optimization of Model Parameters for Electro-Injectors in Common Rail Diesel Engines

[+] Author and Article Information
Paolo Lino

Department of Electrical
and Information Engineering,
Politecnico di Bari,
Bari I-70125, Italy
e-mail: paolo.lino@poliba.it

Guido Maione

Department of Electrical
and Information Engineering,
Politecnico di Bari,
Bari I-70125, Italy
e-mail: guido.maione@poliba.it

Fabrizio Saponaro

Department of Electrical
and Information Engineering,
Politecnico di Bari,
Bari I-70125, Italy
e-mail: saponaro.fab@gmail.com

Kang Li

School of Electronics,
Electrical Engineering and Computer Science,
Queen's University Belfast,
Belfast BT9 5AH, UK
e-mail: k.li@qub.ac.uk

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received May 28, 2015; final manuscript received December 22, 2015; published online February 3, 2016. Assoc. Editor: Ardalan Vahidi.

J. Dyn. Sys., Meas., Control 138(4), 041001 (Feb 03, 2016) (8 pages) Paper No: DS-15-1250; doi: 10.1115/1.4032481 History: Received May 28, 2015; Revised December 22, 2015

One of the main issues in the design, modeling, and control of innovative automotive engines is to reduce energy consumption and emission of pollutants and, at the same time, to guarantee a high level of performance indices. In particular, enhanced model-based control of the injection process has been a hot research topic in recent years to increase the combustion efficiency in common rail (CR) diesel engines and to meet strict legislations. This paper focuses on the development of a more accurate model for the electro-injector in CR diesel engines. The model takes into account the mechanical deformation of relevant parts of the electro-injector and the nonlinear fuel flow. Model parameters are then optimized by an evolutionary strategy. Simulation results confirm that the optimized model can be helpful for predicting the real trend of the injected fuel flow rate, evidenced by experimental data, thus can be helpful for injection control of CR diesel engines.

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Grahic Jump Location
Fig. 1

Schematic representation of the CR electro-injector (left) and complete mechanical plunger–needle model (right)

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Fig. 2

Representation of adjacent masses

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Fig. 3

Schematic diagram of the parameter optimization procedure

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Fig. 6

Prediction of injection flow rate by different models and experimental trend (left) and prediction error (right): (dotted line) experimental data, (dashed/dotted line) rigid body model, (dashed line) theoretical model, and (solid line) optimized model

Grahic Jump Location
Fig. 5

Boxplots of the parameters for the DE-optimization with (Gmax, Npop) = (70, 50) in the 160 MPa condition

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Fig. 4

Evolution of the objective function over generations for (Gmax, Npop) = (70, 50) in the 160 MPa condition



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