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Predictive Energy Management on Multi-core Systems

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Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAUTOENG))

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Abstract

To meet climate agreements, electric vehicles will become very important in the next few years. One class of electric vehicles are Fully Electric Vehicles (FEVs) which are purely powered by electric energy. At the moment the driving range of FEVs is very limited compared to vehicles driven by internal combustion engines. To contribute to increasing the driving range, a comprehensive energy management and enhanced control algorithms like the Model Predictive Controller (MPC) are introduced. The MPC presented in this book chapter is a first approach of solving a reference speed tracking problem on a multi-core platform in real-time. First a high performance off-board system generates an energy and time optimal reference speed profile. This optimization problem is solved by a dynamic programming approach with respect to speed limits, track profile and cloud-sourced data. Afterwards, the reference speed profile is provided to a MPC that is implemented on the vehicle’s on-board system. When utilizing a multi-core computing platform, the on-board system provides information about current speed, position and the driver’s torque demand, which is made available by the MPC. To enable the concept of a comprehensive energy management, a revised information and communications technology reference architecture is presented, as well as an overview about the available hardware and toolchain is given.

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Notes

  1. 1.

    http://www.superlib.eu/.

  2. 2.

    http://www.estrelia.eu/.

  3. 3.

    https://sites.google.com/site/smartliceu/.

  4. 4.

    http://cordis.europa.eu/result/rcn/164347_en.html.

  5. 5.

    http://www.i-compose.eu.

  6. 6.

    https://www.infineon.com/.

  7. 7.

    http://www.skoda-auto.com/.

  8. 8.

    http://www.jaguarlandrover.com.

  9. 9.

    http://www.lotuscars.com/.

  10. 10.

    http://www.e-vectoorc.eu/.

  11. 11.

    https://www.fordlpg.com/en/index.htm.

  12. 12.

    http://www.incobat-project.eu/.

  13. 13.

    http://edas-ev.eu/.

  14. 14.

    http://www.v2c2.at/icos/.

References

  1. Mock P (2015) European vehicle market statistics. The International Council on Clean transportation: Pocketbook 2015/16

    Google Scholar 

  2. Technology Roadmaps: Electric and plug-in hybrid electric vehicles (EV/PHEV): available at https://www.iea.org/publications/freepublications/publication/EV_PHEV_Roadmap.pdf, 2011. Accessed 11 Aug 2016

  3. Global EV Outlook 2016: Beyond one million electric cars: available at https://www.iea.org/publications/freepublications/publication/Global_EV_Outlook_2016.pdf. Accessed 20 Sept 2016

  4. Pearre NS, Kempton W, Guensler RL, Elango VV (2011) Electric vehicles: how much range is required for a day’s driving? Trans Res Part C Emerg Technol 19(6):1171–1184

    Article  Google Scholar 

  5. Briec E, Mazal C, Meyer G, Müller B (2012) European roadmap electrification of road transport. 2nd edn, June 2012: available at http://www.ertrac.org/uploads/documentsearch/id31/electrification_roadmap_june2012_62.pdf. Accessed 23 Apr 2017

  6. Omar N et al (2012) Electrical double-layer capacitors in hybrid topologies—assessment and evaluation of their performance. Energies 5:4533–4568

    Article  Google Scholar 

  7. Chen Y, Wang J (2012) A branch-and-bound algorithm for energy-efficient control allocation with applications to planar motion control of electric ground vehicles. The 2012 American control conference, Montréal, Canada, 27–28 June 2012

    Google Scholar 

  8. Mutoh N et al (2006) Driving characteristics of an electric vehicle system with independently driven front and rear wheels. IEEE Trans Ind Electron 53(3):803–813

    Article  Google Scholar 

  9. De Novellis L et al (2014) Wheel torque distribution criteria for electric vehicles with torque-vectoring differentials. IEEE Trans Veh Technol 63(4):1593–1602

    Google Scholar 

  10. Steinmann J et al (2012) Deliverable 2.3: report documenting vehicle specification, topology and simulation results. Also running vehicle delivery, Deliverable 2.3, OpEneR consortium

    Google Scholar 

  11. List H, Schoeggl P (1988) Objective evaluation of vehicle driveability, SAE 980204

    Google Scholar 

  12. Ringdorfer M et al (2010) Vehicle dynamics controller concept for electric vehicles, AVEC10

    Google Scholar 

  13. Sundstrom O, Guzzella L (2009) A generic dynamic programming Matlab function, Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE, pp 1625,1630, 8–10 July 2009

    Google Scholar 

  14. Guzella L, Amstutz A (2005) The QSS toolbox manual, measurement and control laboratory. Swiss Federal Institute of Technology Zurich, Zurich

    Google Scholar 

  15. Guzzella L, Sciarretta A (2005) Vehicle propulsion systems, introduction to modeling and optimization. Springer, Berlin, Heidelberg, ISBN 3540251952

    Google Scholar 

  16. Verschueren R et al (2014) Towards time-optimal race car driving using nonlinear MPC in real-time, 53rd IEEE conference on decision and control, Los Angeles, CA, pp 2505–2510

    Google Scholar 

  17. Ariens D et al (2011) ACADO for Matlab User’s Manual, available at http://www.acadotoolkit.org, 2011. Accessed 11 Aug 2016

  18. Houska B et al (2011) ACADO Toolkit—an open source framework for automatic control and dynamic optimization. Optimal Control Appl Methods 32(3):298–312

    Google Scholar 

  19. HighTec EDV-Systeme GmbH: TriCore Development Platform. Available at http://www.hightec-rt.com/en/downloads/product-information.html, 2012. Accessed 17 Aug 2016

  20. The FreeRTOS™ project website. http://www.freertos.org. Accessed 17 Aug 2016

  21. Dunkels A (2001) Design and implementation of the lwIP TCP/IP Stack, Swedish Institute of Computer Science, Kista

    Google Scholar 

  22. Vector Informatik GmbH: CANdb++ manual. Available at http://vector.com/vi_downloadcenter_de.html, 2010. Accessed 17 Aug 2016

  23. Sparx Systems: Enterprise Architect. http://www.sparxsystems.com/. Accessed 17 Aug 2016

  24. Ferreau HJ et al (2014) qpOASES: a parametric active-set algorithm for quadratic programming. Math Prog Comput 6:327–363

    Google Scholar 

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Acknowledgements

The research work of the authors has been partially funded by the European Commission within the project Integrated Control of Multiple-Motor and Multiple-Storage Fully Electric Vehicles (iCOMPOSE) under the Seventh Framework Programme grant agreement №. 608897.

The authors acknowledge the financial support of the COMET K2—Competence Centres for Excellent Technologies Programme of the Austrian Federal Ministry for Transport, Innovation and Technology (BMVIT), the Austrian Federal Ministry of Science, Research and Economy (BMWFW), the Austrian Research Promotion Agency (FFG), the Province of Styria and the Styrian Business Promotion Agency (SFG).

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Authors and Affiliations

  1. VIRTUAL VEHICLE Research Center, Inffeldgasse 21a, 8010, Graz, Austria

    Stephanie Grubmüller, Matthias K. Scharrer, Beate Herbst, Allan Tengg & Daniel Watzenig

  2. Infineon Technologies AG, R&D Funding Projects, 81726, Munich, Germany

    Holger Schmidt

Authors
  1. Stephanie Grubmüller
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  2. Matthias K. Scharrer
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  3. Beate Herbst
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  4. Allan Tengg
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  5. Holger Schmidt
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  6. Daniel Watzenig
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Corresponding author

Correspondence to Stephanie Grubmüller .

Editor information

Editors and Affiliations

  1. Forschungsgesellschaft Mbh, Virtual Vehicle Research Center, Graz, Austria

    Daniel Watzenig

  2. Virtual Vehicle Research Center, Graz, Austria

    Bernhard Brandstätter

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Grubmüller, S., Scharrer, M.K., Herbst, B., Tengg, A., Schmidt, H., Watzenig, D. (2018). Predictive Energy Management on Multi-core Systems. In: Watzenig, D., Brandstätter, B. (eds) Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-57445-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-57445-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57444-8

  • Online ISBN: 978-3-319-57445-5

  • eBook Packages: EngineeringEngineering (R0)

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