Two-Stage Turbocharged Gasoline Engines: Experimental Validation of Model-based Control

Albin, Thivaharan; Ritter, Daniel; Liberda, Norman; Pischinger, Stefan; Abel, Dirk

doi:10.1016/j.ifacol.2015.10.018

Cited by 10 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The implementation of a model predictive controller requires a mathematical description of the system dynamics, which is then used for prediction of the future behavior during optimization. Physics-based modeling approaches to determine the air path of SI engines are addressed in, for example, Moulin and Chauvin 17 or Albin et al 4 In Eriksson and Nielsen, 18 a general overview on modeling and control of turbochargers can be found.…”

Section: Data-based Model Of the Air Pathmentioning

confidence: 99%

“…3 The in-vehicle implementation of a physics-based NMPC concept for a two-stage turbocharged engine was successfully implemented and tested with experiments. 4,5 In Xiao et al, 6 a frequency separation controller for charging pressure control of a sequential turbocharging system with conventional wastegate turbocharger and an electric supercharger is investigated. The control concept is also validated in a test vehicle.…”

Section: Motivation and Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model predictive air path control for a two-stage turbocharged spark-ignition engine with low pressure exhaust gas recirculation

Keller

Geiger

Günther

et al. 2020

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

Innovative air path concepts for turbocharged spark-ignition engines with exhaust gas recirculation impose high demands on the control due to nonlinearities and cross-couplings. This contribution investigates the control of the air and exhaust gas recirculation paths of a two-stage turbocharged spark-ignition engine with low pressure exhaust gas recirculation. Using exhaust gas recirculation at high loads, the in-cylinder temperature can be lowered, reducing the knock tendency, while at the same time preventing the need for the enrichment of the air/fuel ratio. Air and exhaust gas recirculation paths are cross-coupled and show different delay times. To tackle these challenges, a data-based two-stage model predictive controller is proposed: The target selector accounts for the overactuated system structure, while the dynamic controller adjusts the charging pressure and exhaust gas recirculation rate. The prediction model setup is based on a small amount of dyno-run measurement data. To ensure real-time capability, the model is kept as simple as possible. This allows for fast turnaround times of the algorithm, while maintaining the necessary accuracy in steady-state and transient operation. This study focuses on a two-stage control concept based on a target selector for optimal stationary control inputs and the dynamic controller considering the dynamic behavior of the air and exhaust gas recirculation paths. Subsequently, the control concept for the two-stage turbocharged spark-ignition engine with low pressure exhaust gas recirculation is validated via experimental tests under real-driving conditions on an automotive test track, using a prototype test vehicle. Results show that boost pressure as well as exhaust gas recirculation rate setpoints are met without overshoot and control deviation with settling times being close to the boundaries set by the hardware.

show abstract

Section: Data-based Model Of the Air Pathmentioning

confidence: 99%

Section: Motivation and Introductionmentioning

confidence: 99%

Model predictive air path control for a two-stage turbocharged spark-ignition engine with low pressure exhaust gas recirculation

Keller

Geiger

Günther

et al. 2020

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…In [16], a high-pressure (HP) and low-pressure (LP) wastegate are considered to control the charging pressure. As a controller-internal model a piecewise-affine model is generated by means of system identification using measurement data.…”

Section: Two Stage Turbochargingmentioning

confidence: 99%

Benefits of model predictive control for gasoline airpath control

Albin¹

2018

Sci. China Inf. Sci.

Self Cite

View full text Add to dashboard Cite

One effective possibility to reduce pollutant emissions and fuel consumption of an internal combustion engine is the use of improved process control. It is made viable by the implementation of additional actuators and sensors which allow to operate the process more flexible. For full exploitation of the setup an appropriate control algorithm is necessary. Classical engine control structures rely on the use of many calibration parameters which result in high demands on the calibration time. Model predictive control (MPC) is an advanced control algorithm which is able to overcome this drawback. It allows to use a mathematical plant model for control synthesis which reduces calibration time and makes reusability possible. The present paper introduces the MPC algorithm and discusses the benefits of MPC for engine control. A special emphasis is put on the application for gasoline airpath control. For clarification, the benefits are demonstrated by numerical simulation studies. For the example of gasoline two stage turbocharging, the advantage concerning control performance are shown as well as the possibility to easily adapt to changed specifications for the closed-loop control dynamics.

show abstract

“…In the medium speed range, one of the two actuated values is used in a feedforward-manner with look-up tables; the other one is used in feedback. A linear time-varying MPC-based concept was presented in [24], and in [25], a nonlinear MPC approach is presented. In both papers, the boost pressure is controlled by a multiple input single output controller.…”

Section: Related Workmentioning

confidence: 99%

Boost Pressure Control Strategy to Account for Transient Behavior and Pumping Losses in a Two-Stage Turbocharged Air Path Concept

et al. 2016

Self Cite

View full text Add to dashboard Cite

Increasingly complex air path concepts are investigated to achieve a substantial reduction in fuel consumption while improving the vehicle dynamics. One promising technology is the two-stage turbocharging for gasoline engines, where a high pressure and a low pressure turbocharger are placed in series. For exploiting the high potential, a control concept has to be developed that allows for coordinated management of the two turbocharger stages. In this paper, the control strategy is investigated. Therefore, the effect of the actuated values on transient response and pumping losses is analyzed. Based on these findings, an optimization-based control algorithm is developed that allows taking both requirements into account. The developed new controller allows achieving a fast transient response, while at the same time reducing pumping losses in stationary operation.

show abstract

Two-Stage Turbocharged Gasoline Engines: Experimental Validation of Model-based Control

Cited by 10 publications

References 7 publications

Model predictive air path control for a two-stage turbocharged spark-ignition engine with low pressure exhaust gas recirculation

Model predictive air path control for a two-stage turbocharged spark-ignition engine with low pressure exhaust gas recirculation

Benefits of model predictive control for gasoline airpath control

Boost Pressure Control Strategy to Account for Transient Behavior and Pumping Losses in a Two-Stage Turbocharged Air Path Concept

Contact Info

Product

Resources

About