Intelligent Injectors -   Digitization in the Injection Technology of Large Engines

Rauer, Emanuel; Rotter, Max; Willmann, Michael; Senghaas, Clemens

doi:10.1007/s38313-019-0038-8

Cited by 4 publications

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“…This not only increases noise, but also reduces life span of the components due to mechanical wear. In addition, wear is also a major source for changing injection amounts during life time (Rauer et al, 2019). Another demand for the injection of smallest amounts of gasoline is the operation in so-called ballistic mode, in which armature and needle do not reach the stop plate (Denk, 2018, pp.…”

Section: Introductionmentioning

confidence: 99%

Proceedings of Asian Modelica Conference 2020, Tokyo, Japan, October 08-09, 2020

2020

Linköping Electronic Conference Proceedings

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The automobile industry is currently undergoing a dramatic transformation. Highperformance networking, deep learning technology, and cloud computing have radically transformed how individuals and businesses manage data, and is poised to disrupt the state-ofthe-art in the development of intelligent machines. This talk explores how automated driving and artificial intelligence based on connected, distributed computing enables future mobility systems that will impact the design and evolution of future cities.

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Section: Introductionmentioning

confidence: 99%

Proceedings of Asian Modelica Conference 2020, Tokyo, Japan, October 08-09, 2020

2020

Linköping Electronic Conference Proceedings

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Section: Introductionmentioning

confidence: 99%

Modelling and Control of Fast-Switching Solenoid Direct Injection Valves Using a New Magnetics Library

Mühlenhoff¹,

Rauer²,

Ströhla³

2020

Linköping Electronic Conference Proceedings

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This paper deals with the special challenges in modelling and controlling fast-switching solenoid valves with Modelica. For this, a solenoid injector for application in direct injection combustion engines with switching times around 100 µs is being used as an example. The occurring eddy current losses as well as the local saturation phenomena based on magnetic field displacement require for detailed network models of the magnetic domain. Therefore, a new Modelica magnetics library based on a consistent systems modelling analogy is being proposed and implemented, which increases solvability of the injector models compared to the Modelica Standard Library. Additionally, different one-dimensional contact mechanic models for representation of the bouncing behaviour of switching-type solenoids are evaluated. The complete electro-magnetomechanical model of the injector is then used for synthesis of novel closed-loop control schemes found by model inversion and parameter optimisation.

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Low-Temperature Combustion Engine Control

Rajasingham

2021

Nonlinear Model Predictive Control of Combustion Engines

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Intelligent Injectors - Digitization in the Injection Technology of Large Engines

Cited by 4 publications

References 0 publications

Proceedings of Asian Modelica Conference 2020, Tokyo, Japan, October 08-09, 2020

Proceedings of Asian Modelica Conference 2020, Tokyo, Japan, October 08-09, 2020

Modelling and Control of Fast-Switching Solenoid Direct Injection Valves Using a New Magnetics Library

Low-Temperature Combustion Engine Control

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