2018
DOI: 10.11128/sne.28.tn.10451
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Modeling and Validation of an Open-Source Mean Value Heavy-Duty Diesel Engine Model

Abstract: The pursuit of lower fuel consumption and stricter emission legislation has made a simulation-and optimization-based development methodology important to the automotive industry. The keystone in the methodology, is the system model. But for the results obtained using a model to be credible, the model has to be validated. The paper validates an open-source, meanvalue engine model of a 13 liter CI inline 6 cylinder heavyduty engine, and releases it as open-source.

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Cited by 3 publications
(6 citation statements)
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“…However, model complexity is usually chosen in relation to its usage, for control purposes there is a trade-off between computational time and model fidelity. As an example of tailored models for usage, [29] validates and releases an open-source heavy-truck diesel engine model with the main purposes of being used in a simulation-and optimization-…”
Section: Engine Modelsmentioning
confidence: 99%
“…However, model complexity is usually chosen in relation to its usage, for control purposes there is a trade-off between computational time and model fidelity. As an example of tailored models for usage, [29] validates and releases an open-source heavy-truck diesel engine model with the main purposes of being used in a simulation-and optimization-…”
Section: Engine Modelsmentioning
confidence: 99%
“…A previously developed and validated mean value engine model (MVEM) [18] is used to perform the acceleration. The model is further developed by introducing the electric motors in the system.…”
Section: Engine Modelmentioning
confidence: 99%
“…More information about the full acceleration model will follow in Section 3.2.3. The reader is referred to [18] for more detailed descriptions about the engine states and model equations. The states are summarized as:…”
Section: State Descriptionsmentioning
confidence: 99%
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“…This first part describes the development of the model, which include determining the needed properties and settling on the equations. The second part consists of parametrization and validation and is found in (Ekberg et al, 2018).…”
Section: Introductionmentioning
confidence: 99%