Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV

Journal Article
2016-01-1243
ISSN: 2167-4191, e-ISSN: 2167-4205
DOI: https://doi.org/10.4271/2016-01-1243
Published April 05, 2016 by SAE International in United States
An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV
Sector:
Citation: Finesso, R., Spessa, E., and Venditti, M., "An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV," SAE Int. J. Alt. Power. 5(2):308-327, 2016, https://doi.org/10.4271/2016-01-1243.
Language: English

References

  1. Damiani , L. , Repetto , M. and Prato , A. P. Improvement of powertrain efficiency through energy breakdown analysis Applied Energy 121 252 263 2014 10.1016/j.apenergy.2013.12.067
  2. Saxena , S. , Phadke , A. , Gopal , A. Understanding the fuel savings potential from deploying hybrid cars in china Applied Energy 113 1127 1133 2014 10.1016/j.apenergy.2013.08.057
  3. Zhang , S. , Wu , Y. , Liu , H. , Huang , R. et al Realworld fuel consumption and CO 2 emissions of urban public buses in Beijing Applied Energy 113 1645 1655 2014 10.1016/j.apenergy.2013.09.017
  4. Hutchinson , T. , Burgess , S. and Herrmann , G. Current hybrid-electric powertrain architectures: Applying empirical design data to life cycle assessment and whole-life cost analysis Applied Energy 119 314 329 2014 10.1016/j.apenergy.2014.01.009
  5. Hellgren , J. A methodology for the design of cost effective hybrid vehicles Doctoral Thesis Chalmers University of Technology 2004
  6. Ehsani , M. , Gao , Y. and Emadi , A. Modern electric, hybrid electric, and fuel cell vehicles: fundamentals, theory, and design CRC press September 2009
  7. Lin , C.C. , Peng , H. , Grizzle , J.W. , Kang , J.M. Power management strategy for a parallel hybrid electric truck, Control Systems Technology IEEE Transactions on 11 6 839 849 2003 10.1109/TCST.2003.815606
  8. Baumann , B.M. , Washington , G. , Glenn , B.C. , Rizzoni , G. Mechatronic design and control of hybrid electric vehicles Mechatronics, IEEE/ASME Transactions 5 1 58 72 2000 10.1109/3516.828590
  9. Lee , H.D. , Sul , S.K. , Kamiya , M. , Ikeda , H. et al. Torque control strategy for a parallel-hybrid vehicle using fuzzy logic Industry Applications Magazine IEEE 6 6 33 38 2000 10.1109/2943.877838
  10. Kheir , N.A. , Salman , M.A. and Schouten , N. J. Emissions and fuel economy trade-off for hybrid vehicles using fuzzy logic Mathematics and computers in simulation 66 2 155 172 2004 10.1016/j.matcom.2003.11.007
  11. Hajizadeh , A. , Golkar , M.A. Intelligent power management strategy of hybrid distributed generation system International Journal of Electrical Power & Energy Systems 29 10 783 795 2007 10.1016/j.ijepes.2007.06.025
  12. Chen , B.C. , Wu , Y.Y. , Tsai , H.C. Design and analysis of power management strategy for range extended electric vehicle using dynamic programming Applied Energy 113 1764 1774 2014 10.1016/j.apenergy.2013.08.018
  13. Bellman , R. , Kalaba , R. E. Dynamic programming and modern control theory Academic Press New York January 1966
  14. Bellman , R.E. , Lee , E. History and development of dynamic programming Control Systems Magazine, IEEE 4 4 24 28 1984
  15. Bertsekas , D.P. Dynamic programming and optimal control 1 Athena Scientific Belmont, MA 1995
  16. Luus , R. Iterative dynamic programming CRC Press 2000
  17. Sundström , O. , Guzzella , L. A generic dynamic programming Matlab function Control Applications,(CCA) & Intelligent Control (ISIC) IEEE 1625 1630 2009 10.1109/CCA.2009.5281131
  18. Shapiro , J. F. Shortest route methods for finite state space deterministic dynamic programming problems SIAM Journal on Applied Mathematics 16 6 1232 1250 1968
  19. Winston , W.L. , Goldberg , J.B. Operations research: applications and algorithms 3 Duxbury press Boston 2004
  20. Katrašnik , T. Impact of vehicle propulsion electrification on well-to-wheel CO 2 emissions of a medium duty truck Applied Energy 108 236 247 2013 10.1016/j.apenergy.2013.03.029
  21. Al-Alawi , B.M. , Bradley , T.H. Analysis of corporate average fuel economy regulation compliance scenarios inclusive of plug in hybrid vehicles Applied Energy 113 1323 1337 2014 10.1016/j.apenergy.2013.08.081
  22. Doucette , R.T. , McCulloch , M.D. Modeling the prospects of plug-in hybrid electric vehicles to reduce CO 2 emissions Applied Energy 88 7 2315 2323 2011 10.1016/j.apenergy.2011.01.045
  23. Wu , X. , Dong , J. , Lin , Z. Cost analysis of plug-in hybrid electric vehicles using GPS-based longitudinal travel data Energy Policy 68 206 217 2014 10.1016/j.enpol.2013.12.054
  24. MathWorks, MatLab The Language Of Technical Computing http://www.mathworks.com/products/matlab/ 14 May 2015 2015
  25. d’Ambrosio , S. , Finesso , R. and Spessa , E. Calculation of mass emissions, oxygen mass fraction and thermal capacity of the inducted charge in SI and diesel engines from exhaust and intake gas analysis Fuel 90 1 152 166 2011 10.1016/j.fuel.2010.08.025
  26. Heywood , J.B. Internal combustion engine fundamentals 930 Mcgrawhill New York 1988
  27. U. Technologies http://www.uqm.com 14 May 2015 2015
  28. Finesso , R. , Spessa , E. , Venditti , M. Layout design and energetic analysis of a complex diesel parallel hybrid electric vehicle Applied Energy 134 573 588 2014 10.1016/j.apenergy.2014.08.007
  29. Man , K.F. , Tang , K.S. , Kwong , S. Genetic algorithms: concepts and applications IEEE Transactions on Industrial Electronics 43 5 519 534 1996 10.1109/41.538609
  30. Michalewicz , Z. Genetic algorithms+ data structures= evolution programs Springer Science & Business Media 2013
  31. Joines , J. , Houck , C.R. et al. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA’s Evolutionary Computation IEEE World Congress on Computational Intelligence 579 584 1994 10.1109/ICEC.1994.349995
  32. Catania , A.E. , Finesso , R. , Spessa , E. Predictive Zero-Dimensional Combustion Model for DI Diesel Engine Feed-Forward Control Energy Conversion and Management 52 10 3159 3175 2011 10.1016/j.enconman.2011.05.003
  33. Ferrari , A. , Morra , E. , Spessa , E. , Ciaravino , C. et al. Analysis of Energy-Efficient Management of a Light-Duty Parallel-Hybrid Diesel Powertrain with a Belt Alternator Starter SAE Technical Paper 2011-24-0080 2011 10.4271/2011-24-0080
  34. Morra , E.P. , Spessa , E. and Venditti , M. Optimization of the operating strategy of a bas hybrid diesel powertrain on type-approval and real-world representative driving cycles ASME 2012 internal combustion engine division spring technical conference 557 568 2012 10.1115/ICES2012-81093
  35. Morra , E. , Spessa , E. , Ciaravino , C. , and Vassallo , A. Analysis of Various Operating Strategies for a Parallel-Hybrid Diesel Powertrain with a Belt Alternator Starter SAE Int. J. Alt. Power. 1 1 231 239 2012 10.4271/2012-01-1008
  36. Catania , A. , Finesso , R. , Spessa , E. , Catanese , A. et al. Combustion Prediction by a Low-Throughput Model in Modern Diesel Engines SAE Int. J. Engines 4 1 2106 2123 2011 10.4271/2011-01-1410
  37. Catania , A. , Finesso , R. , and Spessa , E. Real-Time Calculation of EGR Rate and Intake Charge Oxygen Concentration for Misfire Detection in Diesel Engines SAE Technical Paper 2011-24-0149 2011 10.4271/2011-24-0149
  38. Finesso , R. and Spessa , E. Real-Time Predictive Modeling of Combustion and NO x Formation in Diesel Engines Under Transient Conditions SAE Technical Paper 2012-01-0899 2012 10.4271/2012-01-0899
  39. Finesso , R. , Spessa , E. , Venditti , M. , and Yang , Y. Offline and Real-Time Optimization of EGR Rate and Injection Timing in Diesel Engines SAE Int. J. Engines 8 5 2099 2119 2015 10.4271/2015-24-2426

Cited By