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A Proposal for Applying Belief, Desire, and Intent Agents toward Automotive Vehicle Energy Management

Journal Article
14-09-01-0002
ISSN: 2691-3747, e-ISSN: 2691-3755
Published January 27, 2020 by SAE International in United States
A Proposal for Applying Belief, Desire, and Intent Agents toward Automotive Vehicle Energy Management
Sector:
Citation: De Vos, S., Frank, T., Abanteriba, S., Sardina, S. et al., "A Proposal for Applying Belief, Desire, and Intent Agents toward Automotive Vehicle Energy Management," SAE Int. J. Elec. Veh. 9(1):15-25, 2020, https://doi.org/10.4271/14-09-01-0002.
Language: English

References

  1. Engeljehringer , K. 2016
  2. Detlev , M. et al. Aug. 2013
  3. Bellman , R. Dynamic Programming Princeton, NJ Princeton Univ. Press 1957
  4. Enang , W. and Bannister , C. Modelling and Control of Hybrid Electric Vehicles (A Comprehensive Review) Renewable and Sustainable Reviews 74 1210 1239 2017
  5. Ebbesen , S.b. 2012
  6. Zhang , B. et al. Multi-Objective Parameter Optimization of a Series Hybrid Electric Vehicle Using Evolutionary Algorithms Proceedings of the IEEE Vehicle Power and Propulsion Conference Dearborn, MI Sept. 2009
  7. Abido , M.A. Optimal Power Flow Using Particle Swarm Optimization Electrical Power and Energy Systems 24 563 571 2002
  8. Malikopoulos , A. Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles: A Survey IEEE Transactions on Intelligent Transportation Systems 15 1869 1885 Oct. 2014
  9. Sciarretta , A. et al. Rule-Based and Optimal Control Strategies for Energy Management in Parallel Hybrid Vehicles Proceedings: 6th International Conference on Engines for Automobile Capri 2003
  10. Schättler , H. and Ledzewicz , U. Geometric Optimal Control Theory, Methods and Examples Heidelberg Springer Publishing 2012
  11. Serrao , L. and Rizzoni , G. Optimal Control of Power Split for a Hybrid Electric Refuse Vehicle American Control Conference Seattle, WA June 2008
  12. Stockar , S. et al. Energy-Optimal Control of Plug-In Hybrid Electric Vehicles for Real-World Driving Cycles IEEE Transactions on Vehicular Technology 60 2949 2962 Sept. 2011
  13. Johnson , V. , Wipke , K. , and Rausen , D. HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions SAE Technical Paper 2000-01-1543 2000 https://doi.org/10.4271/2000-01-1543
  14. Nüesch , T. et al. Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle Energies Journal (OA) 7 3148 3178 May 2014
  15. Rajagopalan , A. and Washington , G. Intelligent Control of Hybrid Electric Vehicles Using GPS Information SAE Technical Paper 2002-01-1936 2002 https://doi.org/10.4271/2002-01-1936
  16. Sivertsson , M. et al. Adaptive Control of a Hybrid Powertrain with Map-Based ECMS Proceedings of the 18th IFAC World Congress 44 2949 2954 2011
  17. Kaijiang , Y. et al. Model Predictive Control for Hybrid Electric Vehicle Platooning Using Slope Information IEEE Transactions on Intelligent Transportation Systems 17 1909 1894 July 2016
  18. Parkin , R. et al. 2017
  19. Rhines , W. Managing Vehicle Variety and Configuration Complexity SAE Off-Highway Engineering Magazine 2010 https://saemobilus.sae.org/content/10OFHD0803/
  20. Woolridge , M. and Jennings , N.R. Intelligent Agents: Theory and Practice The Knowledge Engineering Review 10 115 152 1995
  21. Monostori , L. et al. Agent-Based Systems for Manufacturing Annals of the CIRP 55 697 Feb. 2006
  22. Chen , Z. et al. Particle Swarm Optimization-Based Optimal Power Management of Plug-In Hybrid Electric Vehicles Considering Uncertain Driving Conditions Energy Journal 96 197 208 2016
  23. Rao , A.S. and Georgeff , M.P. BDI Agents: From Theory to Practice Proceedings of the First International Conference on Multi-Agent Systems ICMAS San Francisco 1995
  24. Pokahr , A. , Braubach , L. et al. Programming BDI Agents with Pure Java Proceedings of Tenth German Conference on Multi-Agent System Technologies Stuttgart, Germany 2014
  25. JadeX BDI User Guide Documentation https://download.actoron.com/docs/releases/latest/jadex-mkdocs/guides/bdiv3/02%20Concepts/ 2019
  26. Sardina , S. and Padgham , L. A BDI Agent Programming Language with Failure Handling, Declarative Goals, and Planning Autonomous Agents and Multi-Agent Systems 23 18 70 2011
  27. Braubach , L. , Pokahr , A. , and Lamersdorf , W. 2012
  28. Yokoo , M. et al. The Distributed Constraint Satisfaction Problem: Formalization and Algorithms IEEE Transactions on Knowledge and Data Engineering 10 673 Oct. 1998

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