Iranian Journal of Mechanical Engineering Transactions of ISME

Iranian Journal of Mechanical Engineering Transactions of ISME

Optimal Energy Management Design for Hybrid Electric Vehicles

Authors
Masood Roohi
Arshia Bahrami
Mechanical Engineering Dept. K. N. Toosi University of Technology
10.30506/ijmep.2021.135101.1725
Abstract
Fuel consumption in the transportation has been rising in recent decades and consequently,, it has increased pollution and environmental footprint. To address this worldwide problem, the aim of this study is to design a high-level controller with the capability to be implemented to a hybrid electric car in real time, while optimizing fuel consumption and drivability. To achieve this goal, nonlinear model predictive control is utilized based on the longitudinal dynamics of the powertrain. First, the controller is designed for a specific reference. In the next step, the controller is set for a wide range of reference inputs, through tuning the weighting parameters of the optimal control problem. It ultimately shows that all control targets are satisfied. Also applying the proposed energy management system to the powertrain model leads to considerable fuel consumption reduction. Meanwhile, the controller has the capability of being implemented in real time while considering the complex dynamics of the system.
Keywords
Hybrid electric vehicles"
Predictive control"
Real-time energy management"
"
Fuel consumption"

Subjects

[1] Birol, F., "Medium-term Energy Efficiency Market Report", IEA Publications, (2015).
[2] International Energy Agency, "Energy and Air Pollution: World Energy Outlook Special Report", IEA Publications, (2016).
[3] Sciarretta, A., and Guzzella, L., "Control of Hybrid Electric Vehicles," IEEE Control systems, Vol. 27, pp. 60-70, (2007).
[4] Schouten, N.J., Salman, M.A., and Kheir, N.A., "Energy Management Strategies for Parallel Hybrid Vehicles using Fuzzy Logic", Control Engineering Practice, Vol. 11, pp. 171-177, (2003).
[5] Won, J.S., and Langari, R., "Intelligent Energy Management Agent for a Parallel Hybrid Vehicle-Part II: Torque Distribution, Charge Sustenance Strategies, and Performance Results," IEEE Transactions on Vehicular Technology, Vol. 54, pp. 935-953, (2005).
[6] Lin, C.C, Kang, J.M., Grizzle, J. and Peng, H., "Energy Management Strategy for a Parallel Hybrid Electric Truck", Proceedings of American Control Conference, June 25-27, Arlington, VA, pp. 2878-2883, (2001).
[7] Bertsekas, D.P., “Dynamic Programming and Optimal Control”, 1st Edition: Athena Scientific Belmont, MA, (1995).
[8] Piccolo, A., Ippolito, L., Galdi, V., and Vaccaro, A., "Optimization of Energy Flow Management in Hybrid Electric Vehicles via Genetic Algorithms", Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, July 8-12, Como, Italy, pp. 434 439, (2001).
[9] Kolmanovsky, I., Siverguina, I., and Lygoe, B., "Optimization of Powertrain Operating Policy for Feasibility Assessment and Calibration: Stochastic Dynamic Programming Approach", Proceedings of the American Control Conference, May 8-10, Anchorage, AK, pp. 1425-1430, (2002).
[10] Moura, S.J., Fathy, H.K., Callaway, D.S. and Stein, J.L., "A Stochastic Optimal Control Approach for Power Management in Plug-in Hybrid Electric Vehicles", IEEE Transactions on Control Systems Technology, Vol. 19, pp. 545-555, (2011).
[11] Onori, S., Serrao, L., and Rizzoni, G., “Hybrid Electric Vehicles: Energy Management Strategies”, Springer, London, (2015).
[12] Paganelli, G., Guerra, T., Delprat, S., Santin, J., Delhom, M., and Combes, E., "Simulation and Assessment of Power Control Strategies for a Parallel Hybrid Car", Proceedings of the Institution of Mechanical Engineers (IMechE), Part D: Journal of Automobile Engineering,
Vol. 214, pp. 705-717, (2000).
[13] Brahma, A., Guezennec, Y., and Rizzoni, G., "Optimal Energy Management in Series Hybrid Electric Vehicles", Proceedings of American Control Conference, June 28-30, Chicago, IL, pp. 60-64, (2000).
[14] Sciarretta, A., Back, M., and Guzzella, L., "Optimal Control of Parallel Hybrid Electric Vehicles", IEEE Transactions on Control Systems Technology, Vol. 12, pp. 352-363, (2004).
[15] Musardo, C., Rizzoni, G., Guezennec, Y., and Staccia, B., "A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management", European Journal of Control, Vol. 11, pp. 509-524, (2005).
[16] Fekri, F. and Assadian, F., “Fast Model Predictive Control and its Application to Energy Management of Hybrid Electric Vehicles”, INTECH Open Access Publisher, (2011).
[17] Sampathnarayanan, B., Serrao, L., Onori, S., Rizzoni, G., and Yurkovich, S., "Model Predictive Control as an Energy Management Strategy for Hybrid Electric Vehicles", ASME Dynamic Systems and Control Conference, October 12-14, Hollywood, CA, pp. 249-256, (2009).
[18] Borhan, H.A., Vahidi, A., Phillips, A.M., Kuang, M.L., and Kolmanovsky, I.V., "Predictive Energy Management of a Power-split Hybrid Electric Vehicle", Proceedings of American Control Conference, June 10-12, St. Louis, MO, pp. 3970-3976, (2009).
[19] Haber, R., Bars, R., and Schmitz, U., "Predictive Control in Process Engineering: From the Basics to the Applications", John Wiley & Sons, New York, (2012).

  • Receive Date 23 August 2020
  • Revise Date 22 December 2020
  • Accept Date 14 August 2021