International Journal of Vehicle Structures and Systems

Open Access Open Access  Restricted Access Subscription Access

Modeling of Deceleration Fuel Cut-Off for LPG Fuelled Engine Using Fuzzy Logic Controller


Affiliations
1 Dept of Automotive Engg., Universitas Muhammadiyah Magelang, Indonesia
2 Dept of Electrical. Engg., Universitas Diponegoro, Semarang, Indonesia
3 Dept. of Mech. Engg., Universitas Diponegoro, Semarang, Indonesia
 

   Subscribe/Renew Journal


At the time of deceleration, continuous LPG flow in LPG fuelled engine causing over fuel consumption and increasing exhaust emissions, while the engine does not need fuel. Therefore, this paper presents a simulation of deceleration fuel cut-off (DFCO) system. Given that the fuel system control is complex and non-linear, modeling with fuzzy logic controller (FLC) has been selected because of simple, easy to understand and tolerant to improper data. The engine modeling is divided into several sections, including intake manifold dynamics and engine dynamics. The input values were processed by the membership function. A series of simulation results indicate that DFCO can be applied. The combination of throttle valve position, engine speed and manifold pressure is able to cut LPG flow at deceleration. As a conclusion, DFCO system is promising to be applied on LPG-fuelled vehicles for saving fuel and reducing emissions.

Keywords

LPG Fuelled Engine, Deceleration, Deceleration Fuel Cut-Off, Air to Fuel Ratio.
User
Subscription Login to verify subscription
Notifications
Font Size

  • R. Colvile, E. Hutchinson, J. Mindell and R. Warren. 2001. The transport sector as a source of air pollution, Atmospheric Environment, 35(9), 1537-1565. http://doi.org/10.1016/S1352-2310(00)00551-3.

  • GFEI. 2010. Improving vehicle fuel economy in the ASEAN region, Clean Air Initiative for Asian Cities. London.

  • S. Karagiorgis, K. Glover and N. Collings. 2007. Control challenges in automotive engine management, European J. Control, 13(2-3), 92-104. http://doi.org/10.3166/ejc.13.92-104.

  • J.J. Michalek, P.Y. Papalambros and S.J. Skerlos. 2004. A study of fuel efficiency and emission policy impact on optimal vehicle design decisions, J. Mech. Design, 126(6), 1062-1070. http://doi.org/10.1115/1.1804195.

  • S. Anderson, I. Parry, J.M. Sallee and C. Fischer. 2010. Automobile Fuel Economy Standards: Impacts, Efficiency and Alternatives, RRF, Washington DC.

  • M.R. Werpy, A. Burnham and K. Bertram. 2010. Propane Vehicles : Status, Challenges & Opportunities, Argonne's Transportation Technology R&D Center.

  • M. Masi and P. Gobbato. 2012. Measure of the volumetric efficiency and evaporator device performance for a liquefied petroleum gas spark ignition engine, Energy Conversion and Mgmt., 60, 18-27. http://doi.org/10.1016/j.enconman.2011.11.030.

  • M.A. Ceviz and F. Yüksel. 2006. Cyclic variations on LPG and gasoline-fuelled lean burn SI engine. Renewable Energy, 31, 1950-1960. http://doi.org/10.1016/j.renene.2005.09.016.

  • M. Setiyo, B. Waluyo, W. Anggono and M. Husni. 2016. Performance of gasoline/LPG bi-fuel engine of manifold absolute pressure sensor variations feedback, ARPN J. Engg. and Applied Sci., 11(7), 4707-4712.

  • S. Mockus, J. Sapragonas, A. Stonys and S. Pukalskas. 2006. Analysis of exhaust gas composition of internal combustion engines using liquefied petroleum gas, J. Environ. Engg. and Landscape Mgmt., 14(1), 16-22. http://dx.doi.org/10.1080/16486897.2006.9636874.

  • K.S. Shankar and P. Monahan. 2011. MPFI gasoline engine combustion, performance and emission characteristics with LPG injection, Int. J. Energy and Environment, 2(4), 761-770.

  • R.R. Saraf, S.S. Thipse and P.K. Saxena. 2009. Comparative emission analysis of gasoline/LPG automotive bi-fuel engine, Int. J. Civil and Environmental Engg., 1(4), 199-202.

  • M. Setiyo, S. Soeparman, N. Hamidi and S. Wahyudi. 2016. Techno-economic analysis of liquid petroleum gas fuelled vehicles as public transportation in Indonesia, Int. J. Energy Economics and Policy, 6(3), 495-500.

  • World LPG association. 2015. Autogas Incentive Policies, 2015 Update. Neuilly-sur-Seine.

  • M. Setiyo, B. Waluyo, M. Husni and D.W. Karmiadji. 2016. Characteristics of 1500 cc LPG fuelled engine at various of mixer venturi area applied on tesla A-100 LPG vaporizer, J. Tech., 78(10), 43-49. http://doi.org/10.11113/jt.v78.7661.

  • J. Kim, K. Kim and S. Oh. 2016. An assessment of the ultra-lean combustion direct-injection LPG engine for passenger-car applications under the FTP-75 mode, Fuel Processing Tech., 154, 219-226. http://doi.org/10.1016/j.fuproc.2016.08.036.

  • M.A. Ceviz, A. Kaleli and E. Güner. 2015. Controlling LPG temperature for SI engine applications, Applied Thermal Engg., 82, 298-305. http://doi.org/10.1016/j.applthermaleng.2015.02.059.

  • C.L. Myung, J. Kim, K. Choi, I.G. Hwang and S. Park. 2012. Comparative study of engine control strategies for particulate emissions from direct injection light-duty vehicle fuelled with gasoline and liquid phase liquefied petroleum gas, Fuel, 94, 348-355. http://doi.org/10.1016/j.fuel.2011.10.041.

  • A. Jankowski and A. Sandel. 2002. Some problems of improvement of fuel efficiency and emissions in internal combustion engines, J. KONES Internal Combustion Engines, 1(2), 333-356.

  • R.K. Kunjam, P.K. Sen and G. Sahu. 2015. A Study on advance electronic fuel injection system, Int. J. Sci. Research and Mgmt., 3(10), 1-6. http://doi.org/10.18535/ijsrm/v3i10.5.

  • Y. Shi, D.L. Yu, Y. Tian and Y. Shi. 2015. Air-fuel ratio prediction and NMPC for SI engines with modified Volterra model and RBF network, Engg. Applications of Artificial Intelligence, 45, 313-324. http://doi.org/10.1016/j.engappai. 2015.07.008.

  • Y.J. Zhai and D.L. Yu. 2009. Neural network modelbased automotive engine air/fuel ratio control and robustness evaluation, Engg. Applications of Artificial Intelligence, 22(2), 171-180. http://doi.org/10.1016/j.engappai.2008.08.001.

  • S.W. Wang, D.L. Yu, J.B. Gomm, G.F. Page and S.S. Douglas. 2006. Adaptive neural network model based predictive control for air-fuel ratio of SI engines, Engg. Applications of Artificial Intelligence, 19(2), 189-200. http://doi.org/10.1016/j.engappai.2005.08.005.

  • I. Arsie, S.D. Iorio and S. Vaccaro. 2013. Experimental investigation of the effects of AFR, spark advance and EGR on nanoparticle emissions in a PFI SI engine, J. Aerosol Sci., 64, 1-10. http://doi.org/10.1016/j.jaerosci.2013.05.005.

  • I. Arsie, C. Pianese and M. Sorrentino. 2006. A procedure to enhance identification of recurrent neural networks for simulating air-fuel ratio dynamics in SI engines, Engg. Applications of Artificial Int., 19(1), 65-77. http://doi.org/10.1016/j.engappai.2005.06.003.

  • T.M. Guerra, A. Kruszewski, L. Vermeiren and H. Tirmant. 2006. Conditions of output stabilization for nonlinear models in the Takagi-Sugeno's form, Fuzzy Sets and Systems, 157(9), 1248-1259. http://doi.org/10.1016/j.fss.2005.12.006.

  • P.R. Crossley and J.A. Cook. 1991. A nonlinear engine model for drivetrain system development, Int. Conf. on Control, 921-925. Edinburgh.

  • MathWorks. 2016. Modeling Engine Timing using Triggered Subsystems.


Abstract Views: 421

PDF Views: 168




  • Modeling of Deceleration Fuel Cut-Off for LPG Fuelled Engine Using Fuzzy Logic Controller

Abstract Views: 421  |  PDF Views: 168

Authors

M. Setiyo
Dept of Automotive Engg., Universitas Muhammadiyah Magelang, Indonesia
S. Munahar
Dept of Automotive Engg., Universitas Muhammadiyah Magelang, Indonesia
A. Triwiyatno
Dept of Electrical. Engg., Universitas Diponegoro, Semarang, Indonesia
J. D. Setiawan
Dept. of Mech. Engg., Universitas Diponegoro, Semarang, Indonesia

Abstract


At the time of deceleration, continuous LPG flow in LPG fuelled engine causing over fuel consumption and increasing exhaust emissions, while the engine does not need fuel. Therefore, this paper presents a simulation of deceleration fuel cut-off (DFCO) system. Given that the fuel system control is complex and non-linear, modeling with fuzzy logic controller (FLC) has been selected because of simple, easy to understand and tolerant to improper data. The engine modeling is divided into several sections, including intake manifold dynamics and engine dynamics. The input values were processed by the membership function. A series of simulation results indicate that DFCO can be applied. The combination of throttle valve position, engine speed and manifold pressure is able to cut LPG flow at deceleration. As a conclusion, DFCO system is promising to be applied on LPG-fuelled vehicles for saving fuel and reducing emissions.

Keywords


LPG Fuelled Engine, Deceleration, Deceleration Fuel Cut-Off, Air to Fuel Ratio.

References





DOI: https://doi.org/10.4273/ijvss.9.4.12