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

Control Strategy for Hybrid Electric Vehicle Based on Online Driving Pattern Classification

Journal Article
ISSN: 2167-4191, e-ISSN: 2167-4205
Published December 04, 2019 by SAE International in United States
Control Strategy for Hybrid Electric Vehicle Based on Online Driving Pattern Classification
Citation: Yao, Z. and Yoon, H., "Control Strategy for Hybrid Electric Vehicle Based on Online Driving Pattern Classification," SAE Int. J. Alt. Power. 8(2):91-102, 2019,
Language: English


  1. Wei, Z., Xu, J., and Halim, D. , “HEV Power Management Control Strategy for Urban Driving,” Applied Energy 194:705-714, 2017.
  2. Enang, W. and Bannister, C. , “Modelling and Control of Hybrid Electric Vehicles (A Comprehensive Review),” Renewable and Sustainable Energy Reviews 74:1210-1239, 2017.
  3. Ehsani, M., Gao, Y., and Miller, J.M. , “Hybrid Electric Vehicles: Architecture and Motor Drives,” Proceedings of the IEEE 95(4):719-728, 2007.
  4. Becerra, G., Alvarez-Icaza, L., and Pantoja-Vázquez, A. , “Power Flow Control Strategies in Parallel Hybrid Electric Vehicles,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 230(14):1925-1941, 2016.
  5. Tate, E.D. and Boyd, S.P. , “Finding Ultimate Limits of Performance for Hybrid Electric Vehicles,” SAE Technical Paper 2000-01-3099 , 2000,
  6. Chen, H., Kessels, J., and Weiland, S. , “Adaptive ECMS: A Causal Set-Theoretic Method for Equivalence Factor Estimation,” IFAC-PapersOnLine 48(15):78-85, 2015.
  7. Pisu, P. and Rizzoni, G. , “A Comparative Study of Supervisory Control Strategies for Hybrid Electric Vehicles,” IEEE Transactions on Control Systems Technology 15(3):506-518, 2007.
  8. Wirasingha, S.G. and Emadi, A. , “Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles,” IEEE Transactions on Vehicular Technology 60(1):111-122, 2010.
  9. Jalil, N., Kheir, N.A., and Salman, M. , “A Rule-Based Energy Management Strategy for a Series Hybrid Vehicle,” in Proceedings of the 1997 American Control Conference, Albuquerque, NM, Cat. No. 97CH36041, 1997, IEEE.
  10. Lin, C.-C. et al. , “Power Management Strategy for a Parallel Hybrid Electric Truck,” IEEE Transactions on Control Systems Technology 11(6):839-849, 2003.
  11. Wang, R. and Lukic, S.M. , “Review of Driving Conditions Prediction and Driving Style Recognition Based Control Algorithms for Hybrid Electric Vehicles,” in 2011 IEEE Vehicle Power and Propulsion Conference, Chicago, IL, 2011, IEEE.
  12. Feng, L., Liu, W., and Chen, B. , “Driving Pattern Recognition for Adaptive Hybrid Vehicle Control,” SAE International Journal of Alternative Powertrains 1(1):169-179, 2012,
  13. Lei, Z. et al. , “Dynamic Energy Management for a Novel Hybrid Electric System Based on Driving Pattern Recognition,” Applied Mathematical Modelling 45:940-954, 2017.
  14. Gu, B. and Rizzoni, G. , “An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management Based on Driving Pattern Recognition,” in ASME 2006 International Mechanical Engineering Congress and Exposition, Chicago, IL, 2006, American Society of Mechanical Engineers.
  15. Lin, C.-C. et al. , “Control of a Hybrid Electric Truck Based on Driving Pattern Recognition, in Proceedings of the 2002 Advanced Vehicle Control Conference, 2002, Hiroshima, Japan.
  16. Zhang, S. and Xiong, R. , “Adaptive Energy Management of a Plug-In Hybrid Electric Vehicle Based on Driving Pattern Recognition and Dynamic Programming,” Applied Energy 155:68-78, 2015.
  17. Higuchi, N., Sunaga, Y., Tanaka, M., and Shimada, H., “Development of a New Two-Motor Plug-In Hybrid System,” SAE Int. J. Alt. Power. 2(1):135-145, 2013,
  18. Mathworks , “Powertrain Blockset Reference,”, accessed Sep. 2019.
  19. Wang, H., Zhang, X., and Ouyang, M. , “Energy Consumption of Electric Vehicles Based on Real-World Driving Patterns: A Case Study of Beijing,” Applied Energy 157:710-719, 2015.
  20. US Environmental Protection Agency , “New Fuel Economy and Environment Labels for a New Generation of Vehicles,” Regulatory Announcement EPA-420-F-11-017, 2011.
  21. United States Census Bureau , “Commuting Times, Median Rents and Language other than English Use in the Home on the Rise,” 2017, Washington, DC.
  22. Alpaydin, E. , Introduction to Machine Learning (Cambridge, MA: MIT Press, 2014).

Cited By