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Published in:
2014 | OriginalPaper | Chapter
Evolutionary Parameter Optimization of Electro-Injector Models for Common Rail Diesel Engines
Authors : Paolo Lino, Guido Maione, Fabrizio Saponaro, Kang Li
Published in: Intelligent Computing in Smart Grid and Electrical Vehicles
Publisher: Springer Berlin Heidelberg
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One of the major issues in innovative automotive engines is to reduce the energy consumption and pollutant emissions, at the same time, to guarantee a high level of performance indices. To this aim, common rail diesel engines can satisfy strict regulations by enhancing the model-based control of the injection process to increase the combustion efficiency. This paper presents a more accurate model for the electro-injector in common rail diesel engines. The model takes into account the mechanical deformation of relevant parts of the electro-injector and the non-linearity of the fuel flow. Model parameters are then optimized by an evolutionary strategy. Simulation shows that the optimized model can be helpful in predicting the real trend of the injected fuel flow rate when assisted with the experimental data, and in controlling the injection.