Adaptive Observer for Joint Estimation of Oxygen Fractions and Blend Level in Biodiesel Fueled Engines

Zhao, Junfeng; Wang, Junmin

doi:10.1109/tcst.2014.2313003

Cited by 12 publications

(1 citation statement)

References 26 publications

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“…For this reason, the Eil approach results in an ideal choice for testbenches in that the accuracy, time-to-run and performance are highly improved [60,61]. At the other hand, the request of this technique is the projecting of the entire system and for the highspeed real-time controller to have an adequate manage of the models implemented [62][63][64][65][66].…”

Section: The Engine In the Loopmentioning

confidence: 99%

Advanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption

Fanesi¹,

Scaradozzi²

2020

Adv. sci. technol. eng. syst. j.

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The adoption of Engine-in-the-loop technology shows real behaviour. This study presents a test runs simulation platform with real engine data. In addition, a test bench model is a demand approach that offers a significant potential to provide an excellent reproducibility of test runs. The platform includes the data integration to upgrade tests run and a comparison with previous results using the advancing control techniques designed. The dynamometer system presents significantly non-linearity. The adaptive control approach, integrated into the Model Predictive Control on the vehicle, allows increasing the tests run performance. The results show how the real data can improve performance and the validation of the system integrating the updated driving cycle and maintaining EiL approach. The conclusion showed the significant benefits regarding the control methods used.

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Section: The Engine In the Loopmentioning

confidence: 99%

Advanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption

Fanesi¹,

Scaradozzi²

2020

Adv. sci. technol. eng. syst. j.

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Comparative Study and Accommodation of Biodiesel in Diesel‐Electric Hybrid Vehicles Coupled with Aftertreatment Systems

Zhao

Chen

Ibrahim

et al. 2015

Asian Journal of Control

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Biodiesel is a promising renewable alternative fuel, which can be used in diesel‐electric hybrid vehicles to potentially bring one kind of clean vehicle on the road. However, the fuel property variation can cause impacts to the powertrain and aftertreatment systems. In this paper, biodiesel's influence on post‐injection effects is studied. Experimental results are obtained to demonstrate the differences between diesel and biodiesel, and to build up fuel‐dependent maps of engine torque, temperature, and emissions. Utilizing those maps, an aftertreatment warm‐up approach compatible with both fuels is developed by strategically enabling double post injections. Finally, a supervisory controller based on model predictive control method is designed to optimize and balance the tradeoff between hybrid vehicle fuel economy and tailpipe emissions. Simulations are conducted for both fuels with or without the proposed control strategy. The validation results show that for both fuels, the controller can significantly reduce tailpipe emissions by successfully regulating the catalyst temperature to the desired range sacrificing fuel economy. And for biodiesel, additional fuel cost is required in order to realize the tradeoff.

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In-cylinder pressure based model for exhaust temperature estimation in internal combustion engines

Guardiola

Olmeda

Plá

et al. 2017

Applied Thermal Engineering

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Exhaust temperature is a valuable parameter for engine control. However, measurement conditions at the engine exhaust and the slow dynamic response of temperature sensors difficult the determination of the instantaneous exhaust temperature. The present paper proposes a methodology for estimating the exhaust temperature exclusively relying in-cylinder pressure signal, engine speed and exhaust lambda.The presented methodology can replace or actualize widespread look-up table models for correcting calibration offsets, due to ageing, sensor bias or disturbances associated with the engine operation. The method uses the existence of resonant modes in the in-cylinder pressure for inferring the trapped mass and the in-cylinder temperature. An isentropic expansion of the gasses through the valves is assumed for estimating the cylinder outlet temperature of the gases, and the gas temperature drop along the exhaust runner and manifold is modelled through a nodal thermal model. The method was compared with current models under steady and transient conditions in a four stroke CI engine. Variations of injection, EGR, intake pressure and rail pressure were performed under steady operation and the transient response of the method was validated under specific transient test and at the WLTP cycle. A time invariant first order model was used for comparing the estimated temperature with that provided by the experimental sensors.

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Adaptive Observer for Joint Estimation of Oxygen Fractions and Blend Level in Biodiesel Fueled Engines

Cited by 12 publications

References 26 publications

Advanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption

Advanced Control Strategies on Nonlinear Testbench Dynamometer System for Simulating the Fuel Consumption

Comparative Study and Accommodation of Biodiesel in Diesel‐Electric Hybrid Vehicles Coupled with Aftertreatment Systems

In-cylinder pressure based model for exhaust temperature estimation in internal combustion engines

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