Potentials of Electrical Assist and Variable Geometry Turbocharging System for Heavy-Duty Diesel Engine Downsizing

Xue, Xingyu; Rutledge, J. Neal

doi:10.4271/2017-01-1035

Cited by 22 publications

(21 citation statements)

References 11 publications

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“…In periods of low boost, the compressor is driven electrically and therefore the transient response is improved. Caterpillar [5] and Mitsubishi Heavy Industries (MHI) [6] have demonstrated that the ET improves the torque response by 50% or more compared to traditional turbochargers. The ET has also been used in Formula 1 race cars to boost acceleration [7].…”

Section: Introductionmentioning

confidence: 99%

“…The ET enables engine downsizing through improved air delivery, whereby a smaller capacity engine can provide the power previously delivered by a larger engine. In [5], Caterpillar downsized a 9.3 L heavy-duty diesel engine to 7.01 L using the ETA. In downsized engines, the average engine operating point is closer to its high fuel efficiency zone.…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Energy Management of the Electric Turbocharger Based on Explicit Model Predictive Control

Zhao

Stobart

Mason

2020

IEEE Trans. Ind. Electron.

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The electric turbocharger is a promising solution for engine downsizing. It provides great potential for vehicle fuel efficiency improvement. The electric turbocharger makes engines run as hybrid systems so critical challenges are raised in energy management and control. This paper proposes a real-time energy management strategy based on updating and tracking of the optimal exhaust pressure setpoint. Starting from the engine characterisation, the impacts of the electric turbocharger on engine response and exhaust emissions are analysed. A multivariable explicit model predictive controller is designed to regulate the key variables in the engine air system, while the optimal setpoints of those variables are generated by a high level controller. The two-level controller works in a highly efficient way to fulfill the optimal energy management. This strategy has been validated in physical simulations and experimental testing. Excellent tracking performance and sustainable energy management demonstrate the effectiveness of the proposed method. Index Terms-Electric turbocharger, real-time energy management, explicit model predictive controlDezong Zhao (M'12-SM'17) received the B.S. and M.S. degrees in control science and engineering from the School

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Real-Time Energy Management of the Electric Turbocharger Based on Explicit Model Predictive Control

Zhao

Stobart

Mason

2020

IEEE Trans. Ind. Electron.

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“…The need to comply with the more and more stringent regulations in terms of CO 2 and pollutant emissions is pushing the automotive industry to develop innovative technologies. Recent trends which may produce the highest benefits include engine downsizing [1], alternative fuels (such as Compressed Natural Gas (CNG) and biofuels) [2], innovative combustion concepts such as Homogeneous Charge Compression Ignition (HCCI) and Premixed Charge Compression Ignition (PCCI) [3], advanced high-pressure common rail systems [4,5], innovative combustion controls [6][7][8], innovative after-treatment system (ATS) technologies [9], kinetic and thermal energy recovery [10], vehicle road load reduction [11], powertrain electrification [12], and vehicle connectivity (V2X technologies) [13]. In particular, in ref.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, in ref. [1] the authors describe the potential benefits of the electrically-assisted turbocharger with VGT to enable heavy-duty diesel engine downsizing. The study reported in ref.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Simulation of Torque and Nitrogen Oxide Emissions in an 11.0 L Heavy-Duty Diesel Engine for Model-Based Combustion Control

Finesso

Hardy²,

Mancarella

et al. 2019

Energies

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A real-time combustion model was assessed and applied to simulate BMEP (Brake Mean Effective Pressure) and NOx (Nitrogen Oxide) emissions in an 11.0 L FPT Cursor 11 diesel engine for heavy-duty applications. The activity was carried out in the frame of the IMPERIUM H2020 EU Project. The developed model was used as a starting base to derive a model-based combustion controller, which is able to control indicated mean effective pressure and NOx emissions by acting on the injected fuel quantity and main injection timing. The combustion model was tested and assessed at steady-state conditions and in transient operation over several load ramps. The average root mean square error of the model is of the order of 110 ppm for the NOx simulation and of 0.3 bar for the BMEP simulation Moreover, a statistical robustness analysis was performed on the basis of the expected input parameter deviations, and a calibration sensitivity analysis was carried out, which showed that the accuracy is almost unaffected when reducing the calibration dataset by about 80%. The model was also tested on a rapid prototyping device and it was verified that it features real-time capability, since the computational time is of the order of 300–400 µs. Finally, the basic functionality of the model-based combustion controller was tested offline at steady-state conditions.

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“…This layout improves the fuel efficiency by running the EM as a generator, and improves the transient response by running the EM as a motor. The ET is a cost effective approach to improve transient response [3], [4] and downsize engines [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Optimising the Energy Efficiency and Transient Response of Diesel Engines through an Electric Turbocharger

Zhao

Stobart

Mason

2019

2019 American Control Conference (ACC)

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The electric turbocharger provides great potential for vehicle fuel efficiency improvement, exhaust emissions reduction and transient response acceleration. It makes the engine runs as a hybrid system so critical challenges are raised in energy management and control. This paper proposes a realtime energy management strategy for the electric turbocharger. A multi-variable explicit model predictive controller is designed to regulate the key variables in the engine air system, while the optimal setpoints of those variables are generated by a high level controller. The controllers work in a highly efficient way to achieve the optimal energy management. This strategy has been validated in simulations and experiments. Excellent tracking performance and high robustness demonstrate the effectiveness of the proposed method.

show abstract

Potentials of Electrical Assist and Variable Geometry Turbocharging System for Heavy-Duty Diesel Engine Downsizing

Cited by 22 publications

References 11 publications

Real-Time Energy Management of the Electric Turbocharger Based on Explicit Model Predictive Control

Real-Time Energy Management of the Electric Turbocharger Based on Explicit Model Predictive Control

Real-Time Simulation of Torque and Nitrogen Oxide Emissions in an 11.0 L Heavy-Duty Diesel Engine for Model-Based Combustion Control

Optimising the Energy Efficiency and Transient Response of Diesel Engines through an Electric Turbocharger

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