Authors

G. P. Padilla, J. C. Flores Paredes, M. C. F. Donkers

Abstract

In this paper, we present a modelling approach to vehicle energy management based on Port-Hamiltonian systems representations. We consider a network of interconnected port-Hamiltonian systems that describes the powertrain components and auxiliaries in the vehicle. This description is suitable to obtain a systematic approach to formulate a decomposable optimal control problem for Complete Vehicle Energy Management. A physically insightful cost function that describes the total energy consumption of the vehicle is proposed in terms of internal energy and losses of each system connected to the network. Taking advantage of the modularity of the proposed formulation, we present a distributed optimization algorithm to find solutions to the energy management problem. To illustrate this modelling methodology, we consider a case study in which the energy consumption of a battery electric vehicle is optimized.

Citation

BibTeX

@inproceedings{Padilla_2020,
  title={{A Port-Hamiltonian Approach to Complete Vehicle Energy Management: A Battery Electric Vehicle Case Study}},
  DOI={10.23919/acc45564.2020.9147748},
  booktitle={{2020 American Control Conference (ACC)}},
  publisher={IEEE},
  author={Padilla, G. P. and Flores Paredes, J. C. and Donkers, M. C. F.},
  year={2020},
  pages={288--294}
}

Download the bib file

References

  • romijn, A Distributed Optimization Approach for Complete Vehicle Energy Management. IEEE Transactions on Control Systems Technology (2018)
  • Murgovski, N., Johannesson, L. & Sjöberg, J. Convex modeling of energy buffers in power control applications. IFAC Proceedings Volumes vol. 45 92–99 (2012) – 10.3182/20121023-3-fr-4025.00009
  • Padilla, G. P., Belgioioso, G. & Donkers, M. C. F. Global Solutions to the Complete Vehicle Energy Management Problem via Forward-Backward Operator Splitting. 2019 IEEE 58th Conference on Decision and Control (CDC) (2019) doi:10.1109/cdc40024.2019.9028963 – 10.1109/cdc40024.2019.9028963
  • Khalik, Z., Padilla, G. P., Romijn, T. C. J. & Donkers, M. C. F. Vehicle Energy Management with Ecodriving: A Sequential Quadratic Programming Approach with Dual Decomposition. 2018 Annual American Control Conference (ACC) 4002–4007 (2018) doi:10.23919/acc.2018.8431544 – 10.23919/acc.2018.8431544
  • Murgovski, N., Johannesson, L., Hu, X., Egardt, B. & Sjoberg, J. Convex relaxations in the optimal control of electrified vehicles. 2015 American Control Conference (ACC) 2292–2298 (2015) doi:10.1109/acc.2015.7171074 – 10.1109/acc.2015.7171074
  • van der Schaft, A. & Jeltsema, D. Port-Hamiltonian Systems Theory: An Introductory Overview. (2014) doi:10.1561/9781601987877 – 10.1561/9781601987877
  • van der Schaft, A. Interconnections of input-output Hamiltonian systems with dissipation. 2016 IEEE 55th Conference on Decision and Control (CDC) 4686–4691 (2016) doi:10.1109/cdc.2016.7798983 – 10.1109/cdc.2016.7798983
  • Duindam, V., Macchelli, A., Stramigioli, S. & Bruyninckx, H. Modeling and Control of Complex Physical Systems. (Springer Berlin Heidelberg, 2009). doi:10.1007/978-3-642-03196-0 – 10.1007/978-3-642-03196-0
  • van der Schaft, A. Interconnections of input-output Hamiltonian systems with dissipation. 2016 IEEE 55th Conference on Decision and Control (CDC) 4686–4691 (2016) doi:10.1109/cdc.2016.7798983 – 10.1109/cdc.2016.7798983
  • giraldo, Passivity-based control for battery charging/discharging applications by using a buck-boost DC-DC converter. 2018 IEEE Green Technologies Conference (GreenTech) (0)
  • Global EV Outlook 2017. (2017)
  • nilsson, Electric vehicles: the phenomenon of range anxiety. Tech Rep (2011)
  • Egardt, B., Murgovski, N., Pourabdollah, M. & Johannesson Mardh, L. Electromobility Studies Based on Convex Optimization: Design and Control Issues Regarding Vehicle Electrification. IEEE Control Systems vol. 34 32–49 (2014) – 10.1109/mcs.2013.2295709
  • Electric vehicles in Europe. (2016)
  • Kessels, J. T. B. A., Martens, J. H. M., van den Bosch, P. P. J. & Hendrix, W. H. A. Smart vehicle powernet enabling complete vehicle energy management. 2012 IEEE Vehicle Power and Propulsion Conference (2012) doi:10.1109/vppc.2012.6422771 – 10.1109/vppc.2012.6422771
  • de Jager, B., van Keulen, T. & Kessels, J. Optimal Control of Hybrid Vehicles. Advances in Industrial Control (Springer London, 2013). doi:10.1007/978-1-4471-5076-3 – 10.1007/978-1-4471-5076-3
  • Global Greenhouse Gas Emissions Data. (2016)
  • team, Climate Change 2014 Synthesis Report Contribution of Working Groups I II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (2014)
  • Onori, S., Serrao, L. & Rizzoni, G. Hybrid Electric Vehicles. SpringerBriefs in Electrical and Computer Engineering (Springer London, 2016). doi:10.1007/978-1-4471-6781-5 – 10.1007/978-1-4471-6781-5
  • celledoni, Energy-Preserving and Passivity-Consistent Numerical Discretization of Port-Hamiltonian Systems. IEEE Transactions on Automatic Control (2017)
  • yalcin, Discrete-time modeling of Hamiltonian systems. Turkish Journal of Electrical Engineering & Computer Sciences (2013)