This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Nonlinear Model Predictive Control of a Power-Split Hybrid Electric Vehicle with Electrochemical Battery Model
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 28, 2017 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
This paper studies the nonlinear model predictive control for a power-split Hybrid Electric Vehicle (HEV) power management system to improve the fuel economy. In this paper, a physics-based battery model is built and integrated with a base HEV model from Autonomie®, a powertrain and vehicle model architecture and development software from Argonne National Laboratory. The original equivalent circuit battery model from the software has been replaced by a single particle electrochemical lithium ion battery model. A predictive model that predicts the driver’s power request, the battery state of charge (SOC) and the engine fuel consumption is studied and used for the nonlinear model predictive controller (NMPC). A dedicated NMPC algorithm and its solver are developed and validated with the integrated HEV model. The performance of the NMPC algorithm is compared with that of a rule-based controller. This study provides a sound basis for the further study of stochastic MPC and NMPC for the HEV power management with the consideration of battery aging and thermal performance.
CitationCheng, M., Feng, L., and Chen, B., "Nonlinear Model Predictive Control of a Power-Split Hybrid Electric Vehicle with Electrochemical Battery Model," SAE Technical Paper 2017-01-1252, 2017, https://doi.org/10.4271/2017-01-1252.
Data Sets - Support Documents
|[Unnamed Dataset 1]|
|[Unnamed Dataset 2]|
|[Unnamed Dataset 3]|
|[Unnamed Dataset 4]|
|[Unnamed Dataset 5]|
- Musardo, C. Rizzoni, and G. Staccia, B. “A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management,” in Proceedings of the 44th IEEE Conference on Decision and Control, 2005, pp. 1816–1823.
- Borhan, H. Vahidi, A. Phillips, A. M. Kuang, M. L. Kolmanovsky, and I. V. Di Cairano, S. “MPC-based energy management of a power-split hybrid electric vehicle,” IEEE Trans. Control Syst. Technol., vol. 20, no. 3, pp. 593–603, 2012.
- Ripaccioli, G. Bernardini, D. Di Cairano, S. Bemporad a, and Kolmanovsky I. V, “A stochastic model predictive control approach for series hybrid electric vehicle power management,” Proc. 2010 Am. Control Conf., pp. 5844– 5849, 2010.
- Brahma, A. Guezennec, and Y. Rizzoni, G. “Optimal energy management in series hybrid electric vehicles,” Am. Control Conf. 2000. Proc. 2000, vol. 1, no. June, pp. 60–64 vol.1, 2000.
- Lin, C.-C. Peng, and H. Grizzle, J. W. “A stochastic control strategy for hybrid electric vehicles,” Am. Control Conf. 2004. Proc. 2004, vol. 5, pp. 4710–4715 vol. 5, 2004.
- Serrao, L. Onori, S. Sciarretta, A. Guezennec, and Y. Rizzoni, G. “Optimal energy management of hybrid electric vehicles including battery aging,” Am. Control Conf. (ACC), 2011, no. 3, pp. 2125–2130, 2011.
- Ebbesen, S. Elbert, and P. Guzzella, L. “Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles,” IEEE Trans. Veh. Technol., vol. 61, no. 7, pp. 2893–2900, 2012.
- Moura, S. J. Stein, and J. L. Fathy, H. K. “Battery-health conscious power management in plug-in hybrid electric vehicles via electrochemical modeling and stochastic control,” IEEE Trans. Control Syst. Technol., vol. 21, no. 3, pp. 679–694, 2013.
- Prada, E. Di Domenico, D. Creff, Y. Bernard, J. Sauvant-moynot, and V. Huet, F. “A Simplified Electrochemical and Thermal Aging Model of LiFePO 4 -Graphite Li-ion Batteries : Power and Capacity Fade Simulations,” J. Electrochem. Soc., vol. 160, no. 4, pp. A616–A628, 2013.
- A123 Systems, “Lithium Ion Batteries for Transportation.” [Online]. Available: http://www.a123systems.com/solutions-transportation.htm.
- “Autonomie - Powertrain and Vehicle Model Architecture and Development Environment. Version: 1210,” Argonne National Laboratory..
- Prada, E. Di Domenico, D. Creff, Y. Bernard, J. Sauvant-Moynot, and V. Huet, F. “Simplified Electrochemical and Thermal Model of LiFePO4-Graphite Li-Ion Batteries for Fast Charge Applications,” J. Electrochem. Soc., vol. 159, no. 9, pp. A1508–A1519, 2012.
- Di Domenico, D. Stefanopoulou, and A. Fiengo, G. “Lithium-Ion Battery State of Charge and Critical Surface Charge Estimation Using an Electrochemical Model-Based Extended Kalman Filter,” J. Dyn. Syst. Meas. Control, vol. 132, no. 6, p. 61302, 2010.
- Bergveld, H. J. Kruijt, and W. S. Notten, P. H. L. “Battery management systems: design by modelling,” 2002, 2002.
- Eshani, M. Gao, Y. Gay, and S. Emadi, A. Modern electric, hybrid electric and fuel cell vehicles 2nd. Edition. 2010.
- Feng, L. Cheng, and M. Chen, B. “Predictive Control of a Power-Split HEV with Fuel Consumption and SOC Estimation.” SAE International, 2015.
- Borhan, H. A. Vahidi, A. Phillips, A. M. Kuang, and M. L. Kolmanovsky, I. V. “Predictive energy management of a power-split hybrid electric vehicle,” in” Proceedings of the American Control Conference, 2009, pp. 3970–3976.
- Liu, J. “Modeling, configuration and control optimization of power-split hybrid vehicles,”University of Michigan, 2007.