Optimal Control ofWastegate Throttle and Fuel Injection for a Heavy-Duty Turbocharged Diesel Engine During Tip-In Throttle and Wastegate Developed for Optimal Control Applications

Ekberg, Kristoffer; Leek, Viktor; Holmer, Olov; Eriksson, Lars

doi:10.3384/ecp17138317

Cited by 4 publications

(3 citation statements)

References 9 publications

(13 reference statements)

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“…However, all these approaches mainly rely on quasi-static system models and ignore the dynamic behavior of the internal combustion engine, e.g., the intake manifold or the turbocharger dynamics. To properly capture the engine dynamics, mean value engine models are usually formulated using nonlinear differential equations [31][32][33][34] and optimized offline [35][36][37][38][39][40] or online in a model predictive control fashion [41][42][43][44]. Recently, the air path of a forced-intake engine was modeled in a quasistatic manner as a basis for minimum fuel control [45,46].…”

Section: Introductionmentioning

confidence: 99%

Time-Optimal Low-Level Control and Gearshift Strategies for the Formula 1 Hybrid Electric Powertrain

et al. 2020

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Today, Formula 1 race cars are equipped with complex hybrid electric powertrains that display significant cross-couplings between the internal combustion engine and the electrical energy recovery system. Given that a large number of these phenomena are strongly engine-speed dependent, not only the energy management but also the gearshift strategy significantly influence the achievable lap time for a given fuel and battery budget. Therefore, in this paper we propose a detailed low-level mathematical model of the Formula 1 powertrain suited for numerical optimization, and solve the time-optimal control problem in a computationally efficient way. First, we describe the powertrain dynamics by means of first principle modeling approaches and neural network techniques, with a strong focus on the low-level actuation of the internal combustion engine and its coupling with the energy recovery system. Next, we relax the integer decision variable related to the gearbox by applying outer convexification and solve the resulting optimization problem. Our results show that the energy consumption budgets not only influence the fuel mass flow and electric boosting operation, but also the gearshift strategy and the low-level engine operation, e.g., the intake manifold pressure evolution, the air-to-fuel ratio or the turbine waste-gate position.

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Section: Introductionmentioning

confidence: 99%

Time-Optimal Low-Level Control and Gearshift Strategies for the Formula 1 Hybrid Electric Powertrain

et al. 2020

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“…The model is a continuation of previous modeling work by the authors, described in [1]. In contrast to the previous work, indicated mean effective pressure (IMEP), pump mean effective pressure (PMEP) and friction mean effective pressure (FMEP), have been remodeled, the compressor model has been changed for a more advanced model presented in [7], the turbine has been remodeled to better describe the efficiency, and the model is validated as a complete system.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Validation of an Open-Source Mean Value Heavy-Duty Diesel Engine Model

Ekberg¹,

Leek²,

Eriksson³

2018

SNE

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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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“…The model is a continuation of previous modeling work by the authors, described in Ekberg et al (2017). In contrast to the previous work, indicated mean effective pressure (IMEP), pump mean effective pressure (PMEP) and friction mean effective pressure (FMEP), have been remodeled, the compressor model has been changed for a more advanced model presented in Llamas and Eriksson (2017), the turbine has been remodeled to better describe the efficiency, and the model is validated as a complete system.…”

Section: Introductionmentioning

confidence: 99%

Validation of an Open-Source Mean-Value Heavy-Duty Diesel Engine Model

Ekberg¹,

Leek²,

Eriksson³

2018

Linköping Electronic Conference Proceedings

Self Cite

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The pursuit for lower fuel consumption and stricter emission legislation has made a simulation-and optimizationbased 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, mean-value engine model of a 12.7 liters CI inline 6 cylinder heavy-duty engine, and releases it as open-source.

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Optimal Control ofWastegate Throttle and Fuel Injection for a Heavy-Duty Turbocharged Diesel Engine During Tip-In Throttle and Wastegate Developed for Optimal Control Applications

Cited by 4 publications

References 9 publications

Time-Optimal Low-Level Control and Gearshift Strategies for the Formula 1 Hybrid Electric Powertrain

Time-Optimal Low-Level Control and Gearshift Strategies for the Formula 1 Hybrid Electric Powertrain

Modeling and Validation of an Open-Source Mean Value Heavy-Duty Diesel Engine Model

Validation of an Open-Source Mean-Value Heavy-Duty Diesel Engine Model

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