Validation and Control Strategy to Reduce Fuel Consumption for RE-EV

Wonbin Lee, Wonseok Choi, Hyunjong Ha, Jiho Yoo, Junbeom Wi, Jaewon Jung, Hyunsoo Kim

Abstract

In this study, a control strategy of the target RE-EV was analysed using BMW i3 test data from Downloadable Dynamometer Database (D3) at Argonne National Laboratory. In addition, vehicle model was developed based on AVL Cruise and MATLAB/Simulink and validation of the developed model was carried out. Using the simulation and test data, a control strategy which operates the engine on the optimal operation line was proposed to reduce the fuel consumption. The performance of the engine control strategy was evaluated for the city and highway driving cycle.

References

  1. Pavlat, J. and Diller, R. (1993). An Energy Management System to Improve Electric Vehicle Range and Performance. IEEE Aerospace and Electronic Systems Magazine, 8(6), pp. 3-5.
  2. Chih-Ming, C. and Kuang-Shine, Y. (2013). System Integration and Power Flow Management for the Engine-Generator Operation of a Range-extended Electric Vehicle. Electric Vehicle Symposium and Exhibition (EVS27), 2013 World, pp. 1-10.
  3. Wu, G., Zhang, X. and Dong, Z. (2015). Powertrain architectures of electrified vehicles: Review, classification and comparison. Journal of the Franklin Institute, 352(2), pp. 425-448.
  4. Tate, E., Harpster, M. and Savagian, P. (2008). The Electrification of the Automobile: From Conventional Hybrid, to Plug-in Hybrids, to Extended-Range Electric Vehicles. SAE International Journal of Passenger Cars - Electronic and Electrical Systems, 1(1), pp. 156-166.
  5. Pi, J., Bak, Y., You, Y., Park, D. and Kim, H. (2016). Development of Route Information based Driving Control Algorithm for a Range-extended Electric Vehicle. International Journal of Automotive Technology, 17(6), pp. 1101-1111.
  6. Min, H., Ye, D. and Yu, Y. (2013). Optimization of an Extended-Range Electric Vehicle. Proceedings of the FISITA 2012 World Automotive Congress, pp. 275-285.
  7. Anl.gov, (2015). Energy Systems / Argonne National Laboratory. [online] Available at: https://www.anl.gov/energy-systems [Accessed 10 Sep. 2016]
  8. BMW i3 Range Extender to Offer Up to 87 More Miles, Decreases Performance | Inside EVs. (2013). [online] Insideevs.com. Available at: http://insideevs.com/bmw-i3-range-extender-to-offerup-to-87-more-miles-decreases-performance/ [Accessed 10 Sep. 2016].
  9. Ma, C., Kang, J., Choi, W., Song, M., Ji, J. and Kim, H. (2012). A Comparative Study on the Power Characteristics and Control Strategies for Plug-in Hybrid Electric Vehicles. International Journal of Automotive Technology, 13(3), pp. 505-516.
Download


Paper Citation


in Harvard Style

Lee W., Choi W., Ha H., Yoo J., Wi J., Jung J. and Kim H. (2017). Validation and Control Strategy to Reduce Fuel Consumption for RE-EV . In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-242-4, pages 52-57. DOI: 10.5220/0006232900520057


in Bibtex Style

@conference{vehits17,
author={Wonbin Lee and Wonseok Choi and Hyunjong Ha and Jiho Yoo and Junbeom Wi and Jaewon Jung and Hyunsoo Kim},
title={Validation and Control Strategy to Reduce Fuel Consumption for RE-EV},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2017},
pages={52-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006232900520057},
isbn={978-989-758-242-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Validation and Control Strategy to Reduce Fuel Consumption for RE-EV
SN - 978-989-758-242-4
AU - Lee W.
AU - Choi W.
AU - Ha H.
AU - Yoo J.
AU - Wi J.
AU - Jung J.
AU - Kim H.
PY - 2017
SP - 52
EP - 57
DO - 10.5220/0006232900520057