A Diesel Engine Management System Strategy for Transient Engine Operation

Grahn, Markus; Johansson, Krister; McKelvey, Tomas

doi:10.3182/20130904-4-jp-2042.00068

Cited by 6 publications

(8 citation statements)

References 12 publications

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“…The fuel consumption decrease potential is dependent on several factors. In this study it is shown that the decrease potential is dependent on the studied driving cycle, and in Grahn et al (2013) it is shown that the decrease potential is dependent on the given emission limits. Furthermore, the potential is most likely dependent on the characteristics of the engine, the properties of the vehicle, etc.…”

Section: Discussionmentioning

confidence: 63%

“…The described transient EMS strategy has been shown to be able to decrease fuel consumption for a given dynamic vehicle driving cycle with given limits on accumulated emissions, compared to a strategy that is based only on steady-state engine operation. The resulting fuel consumption decrease of 0.56% for the NEDC driving cycle, 1.04% (or 1.13%) for the FTP-75 cycle, and 0.84% (or 1.06%) for the JC08 cycle in this study can be compared with the initial evaluation of the proposed EMS strategy described in Grahn et al (2013), where a fuel consumption decrease between 0 and 0.7% was achieved for a simple transient engine simulation scenario, depending on the given limits on accumulated emissions. The results in this study are within a similar range.…”

Section: Discussionmentioning

confidence: 99%

“…A novel strategy to calculate set points in a diesel EMS was introduced in Grahn, Johansson, and McKelvey (2013). The strategy is based on existing methods for steady-state EMS optimization, but extended to handle effects during transient engine operation caused by the dynamics in the engine air system.…”

Section: Introductionmentioning

confidence: 99%

“…The set points are calculated on-line in the EMS by solving a number of optimization problems. The strategy was evaluated in Grahn et al (2013) using a simple engine simulation scenario. In this paper, the strategy is further developed such that set points for the complete working range of the engine can be calculated off-line, and stored in an EMS using a structure similar to the map-based structure in a standard EMS.…”

Section: Introductionmentioning

confidence: 99%

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Model-based diesel Engine Management System optimization for transient engine operation

Grahn

Johansson

McKelvey

2014

Control Engineering Practice

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Citation for the published paper: Grahn, M. ; Johansson, K. ; McKelvey, T. (2014) "Model-based diesel Engine Management System optimization for transient engine operation". Control Engineering Practice, vol. 29 pp. 103-114.http://dx. a b s t r a c tA recently developed strategy to calculate set points for controllable diesel engine systems is described, further developed, and evaluated. The strategy calculates set points with an aim to minimize fuel consumption for a given dynamic vehicle driving cycle, while keeping accumulated emissions below given limits. The strategy is based on existing methodology for steady-state engine operation, but extended to handle transient effects in the engine caused by dynamics in the engine air system. Using the strategy, set points for the complete operating range of the engine can be calculated off-line and stored in an Engine Management System, hence set points can be derived for any (steady-state or transient) driving scenario. The strategy has been evaluated using a simulation model of a complete diesel engine vehicle system. The model estimates fuel consumption, NO X , and soot emissions for a dynamic vehicle driving cycle depending on set points for boost pressure, oxygen fraction in the intake manifold, and injection timing, throughout the simulation. Using this simulation model, the strategy has been shown to decrease fuel consumption for the New European Driving Cycle with 0.56%, the Federal Test Procedure with 1.04%, and the Japanese JC08 cycle with 0.84% compared to a strategy based on steady-state engine operation.

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Section: Discussionmentioning

confidence: 63%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model-based diesel Engine Management System optimization for transient engine operation

Grahn

Johansson

McKelvey

2014

Control Engineering Practice

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“…A novel strategy to calculate set points in a diesel EMS was introduced in Grahn et al (2013a). The strategy is based on existing methods for steady-state EMS optimization, but extended to handle effects during transient engine operation caused by the dynamics in the engine air system.…”

Section: Introductionmentioning

confidence: 99%

A Transient Diesel EMS Strategy for Online Implementation

Grahn

Johansson

McKelvey

2014

IFAC Proceedings Volumes

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A recently developed strategy for diesel engine management systems is modified to reduce the implementation complexity. The strategy calculates set points for engine management system controllable quantities with an aim to minimize fuel consumption for a given engine speed and requested torque profile, while keeping accumulated emissions below given limits. The strategy is based on the methodology for steady-state engine operation, but extended to handle transient effects in the engine caused by dynamics in the air system. The strategy leads to the parametrization of mappings with two, three and four input dimensions respectively. In this paper, a modification of the strategy is proposed such that the memory demanding multidimensional mappings can be approximated in an engine management system using only two-dimensional grid maps. The modified strategy has been evaluated using a complete diesel engine vehicle system model simulating the NEDC driving cycle. The performance of the modified strategy has been compared with the original performance of the strategy. It is demonstrated that the modification of the strategy has very little impact on resulting performance of a vehicle but requires considerably less memory for implementation.

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