AFR and fuel cut-off modeling of LPG-fueled engine based on engine, transmission, and brake system using fuzzy logic controller (FLC)

Muji Setiyo, Suroto Munahar

Abstract

During deceleration, continuous fuel flows into the engine not only causing over fuel consumption but also increasing exhausts emissions. Therefore, this paper presents a simulation of AFR and fuel cut-off modeling in the LPG-fueled vehicle using Fuzzy Logic Controller (FLC). The third generation of LPG kits (Liquid Phase Injection, LPI) was chosen due to its technological equivalency to EFI gasoline engine and promising to be developed. Given that the fuel system control is complex and non-linear, FLC has been selected because of simple, easy to understand, and tolerant to improper data. Simulation results show that the AFR and fuel cut-off controller able to maintenance AFR at the stoichiometric range during normal operation and able to cut the fuel flow at deceleration time for saving fuel and reducing emissions.




Keywords


LPG-fueled engine; deceleration; FLC; AFR; fuel cut-off

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References


GFEI, “Improving Vehicle Fuel Economy in the ASEAN Region,” London, 2010.

S. Karagiorgis et al., “Control Challenges in Automotive Engine Management,” European Journal of Control, vol. 13, no. 2–3, pp. 92–104, Jan. 2007. crossref

S. T. Anderson et al., “Automobile fuel economy standards: Impacts, efficiency, and alternatives,” Review of Environmental Economics and Policy, vol. 5, no. 1, pp. 89–108, 2011. crossref

K. Ravi and E. Porpatham, “Effect of piston geometry on performance and emission characteristics of an LPG fuelled lean burn SI engine at full throttle condition,” Applied Thermal Engineering, vol. 110, pp. 1051–1060, 2017. crossref

M. El-Faroug et al., “Spark Ignition Engine Combustion, Performance and Emission Products from Hydrous Ethanol and Its Blends with Gasoline,” Energies, vol. 9, no. 12, p. 984, 2016. crossref

World LPG Association, “Autogas Incentive Policies, 2015 Update,” Neuilly-sur-Seine, 2015.

M. Messagie et al., “Environmental and financial evaluation of passenger vehicle technologies in Belgium,” Sustainability (Switzerland), vol. 5, no. 12, pp. 5020–5033, 2013. crossref

M. Setiyo et al., “Techno-economic analysis of liquid petroleum gas fueled vehicles as public transportation in Indonesia,” International Journal of Energy Economics and Policy, vol. 6, no. 3, pp. 495–500, 2016.

IEA, “Biofuels for transport in 2050,” Paris, 2011. crossref

F. An et al., “Global overview on fuel efficiency and motor vehicle emission standards: policy options and perspectives for international cooperation,” New York, 2011.

World LPG Association, “Autogas Incentive Policies,” Neuilly-sur-Seine, 2016.

Gaikindo, “Indonesia Automotive Industry Report on 2013 Auto Market,” in The 20th APEC Automotive Dialogue, 2014, no. April.

M. Setiyo et al., “Characteristics of 1500 cc LPG fueled engine at various of mixer venturi area applied on tesla A-100 LPG vaporizer,” Jurnal Teknologi, vol. 78, no. 10, pp. 43–49, 2016. crossref

F. Hofmann, Converting Vehicles to Propane Autogas Part 4: Troubleshooting Four Current Autogas Fuel Systems. Washington, D.C, USA: Propane Education & Research Council, 2012.

A. Kaleli et al., “Controlling spark timing for consecutive cycles to reduce the cyclic variations of SI engines,” Applied Thermal Engineering, vol. 87, pp. 624–632, 2015. crossref

C. Park et al., “Combustion and Emission Characteristics According to the Fuel Injection Ratio of an Ultra-Lean LPG Direct Injection Engine,” Energies, vol. 9, no. 11, p. 920, 2016. crossref

C. Manzie et al., “Air Fuel Ratio Control In Liquefied Petroleum Gas Injected SI Engines,” in Triennial World Congress, 2002.

M. Masi and P. Gobbato, “Measure of the volumetric efficiency and evaporator device performance for a liquefied petroleum gas spark ignition engine,” Energy Conversion and Management, vol. 60, pp. 18–27, 2012. crossref

J. Gallus et al., “Impact of driving style and road grade on gaseous exhaust emissions of passenger vehicles measured by a Portable Emission Measurement System (PEMS),” Transportation Research Part D: Transport and Environment, vol. 52, no. 2, pp. 215–226, 2017. crossref

Y. Zhang et al., “Evaluation of vehicle acceleration models for emission estimation at an intersection,” Transportation Research Part D: Transport and Environment, vol. 18, no. 1, pp. 46–50, 2013. crossref

Gazeo, “Autogas system generations,” Global LPG & CNG Portal, 2012. [Online]. Available: http://gazeo.com/automotive/technology/Autogas-system-generations,article,6486.html. [Accessed: 23-May-2017].

B. A. Al-himyari et al., “Review of Air-Fuel Ratio Prediction and Control Methods,” Asian Journal of Applied Sciences, vol. 2, no. 4, pp. 471–478, 2014.

Y. Shi et al., “Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network,” Engineering Applications of Artificial Intelligence, vol. 45, pp. 313–324, 2015. crossref

Y.-J. Zhai and D.-L. Yu, “Neural network model-based automotive engine air/fuel ratio control and robustness evaluation,” Engineering Applications of Artificial Intelligence, vol. 22, no. 2, pp. 171–180, 2009. crossref

S. Wang and D. L. Yu, “Adaptive RBF network for parameter estimation and stable air–fuel ratio control,” Neural Networks, vol. 21, no. 1, pp. 102–112, 2008. crossref

I. Arsie et al., “A procedure to enhance identification of recurrent neural networks for simulating air–fuel ratio dynamics in SI engines,” Engineering Applications of Artificial Intelligence, vol. 19, no. 1, pp. 65–77, 2006. crossref

S. W. Wang et al., “Adaptive neural network model based predictive control for air-fuel ratio of SI engines,” Engineering Applications of Artificial Intelligence, vol. 19, no. 2, pp. 189–200, 2006. crossref

T. M. Guerra et al., “Conditions of output stabilization for nonlinear models in the Takagi-Sugeno’s form,” Fuzzy Sets and Systems, vol. 157, no. 9, pp. 1248–1259, 2006. crossref

M. Zhou et al., “A review of vehicle fuel consumption models to evaluate eco-driving and eco-routing,” Transportation Research Part D: Transport and Environment, vol. 49, pp. 203–218, 2016. crossref

C. G. Foster et al., “Automobile,” Encyclopædia Britannica. [Online]. Available: https://www.britannica.com/technology/automobile. [Accessed: 11-Dec-2016].

Mohammad Al Zubi and Ayman M. Mansour, “Detection of Automotive Emissions Status using Fuzzy Inference System n,” IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), vol. 10, no. 4, pp. 17–23, 2013.

A. Triwiyatno et al., “Engine Torque Control of Spark Ignition Engine Using Robust Fuzzy Logic Control,” IACSIT International Journal of Engineering and Technology, vol. 3, no. 4, pp. 352–358, 2011. crossref

M. J. Nekooei and J. Koto, “Hybrid Fuzzy Logic Controller in Matlab / Simulink for Controlling AFR of SI Engine,” International Journal of Environmental Research & Clean Energy, vol. 5, no. 1, pp. 11–20, 2017.

A. Ghaffari et al., “Adaptive Fuzzy Control for Air-Fuel Ratio of Automobile Spark Ignition Engine,” Engineering and Technology, pp. 284–292, 2008.

A. Triwiyatno et al., “Smart controller design of air to fuel ratio (AFR) and brake control system on gasoline engine,” in ICITACEE 2015 - 2nd International Conference on Information Technology, Computer, and Electrical Engineering, 2016, pp. 233–238. crossref

K. Zhang et al., “Vehicle emissions in congestion: Comparison of work zone, rush hour and free-flow conditions,” Atmospheric Environment, vol. 45, no. 11, pp. 1929–1939, 2011. crossref

J. Edquist et al., Road design factors and their interactions with speed and speed limits - Report 298. 2009.

J. D. Clapp et al., “The driving behavior survey: Scale construction and validation,” Journal of Anxiety Disorders, vol. 25, no. 1, pp. 96–105, 2011. crossref

S. Munahar and M. Setiyo, “AFR Modeling of EFI Engine Based on Engine Dynamics, Vehicle Dynamics, and Transmission System,” Jurnal Teknik Mesin, vol. 7, no. 1, pp. 21–29, 2017.

E. Hendricks et al., “A generic mean value engine model for spark ignition engines,” in Proceedings of the 41st Simulation Conference SIMS, 2000.

C. Manzie et al., “Model predictive control of a fuel injection system with a radial basis function network observer,” Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, vol. 124, no. 4, pp. 648–658, 2002. crossref

Mathworks, “Modeling an Automatic Transmission Controller,” Mathworks Documentation. 2016.


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