This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Method for the Estimation of Cooling System and Driving Performance for Fuel Cell Vehicles Based on Customer Fleet Data

Journal Article
14-11-02-0016
ISSN: 2691-3747, e-ISSN: 2691-3755
Published October 28, 2021 by SAE International in United States
A Method for the Estimation of Cooling System and Driving Performance
                    for Fuel Cell Vehicles Based on Customer Fleet Data
Sector:
Citation: Gilles, T. and Peissner, S., "A Method for the Estimation of Cooling System and Driving Performance for Fuel Cell Vehicles Based on Customer Fleet Data," SAE Int. J. Elec. Veh. 11(2):203-212, 2022, https://doi.org/10.4271/14-11-02-0016.
Language: English

References

  1. Reif , K. Konventioneller Antriebsstrang und Hybridantriebe mit Brennstoffzellen und alternativen Kraftstoffen 1st Wiesbaden Springer Fachmedien 2010 978-3-8348-1303-9
  2. Li , J. , Huber , T. , and Beidl , C. Predictive Multi-objective Operation Strategy Considering Battery Ageing for Hybrid Electric Vehicles SAE Technical Paper 2018-01-1011 2018 https://doi.org/10.4271/2018-01-1011
  3. Balau , A. , Kooijman , D. , Vazquez Rodarte , I. , and Ligterink , N. Stochastic Real-World Drive Cycle Generation Based on a Two Stage Markov Chain Approach SAE Int. J. Mater. Manf. 8 2 2015 390 397 https://doi.org/10.4271/2015-01-0488
  4. Gong , Q. , Midlam-Mohler , S. , Marano , V. , and Rizzoni , G. An Iterative Markov Chain Approach for Generating Vehicle Driving Cycles SAE Int. J. Engines 4 1 2011 1035 1045 https://doi.org/10.4271/2011-01-0880
  5. Reiser , C. , Zellbeck , H. , Härtle , C. , and Klaiß , T. Kundenfahrverhalten im Fokus der Fahrzeugentwicklung ATZ 110 78 2008 684 692
  6. Lee , T.-K. and Filipi , Z. Synthesis and Validation of Representative Real-World Driving Cycles for Plug-In Hybrid Vehicles 2010 IEEE Vehicle Power and Propulsion Conference Lille, France 2010 https://doi.org/10.1109/VPPC.2010.5729040
  7. Silvas , E. , Hereijgers , K. , Peng , H. , Hofman , T. et al. Synthesis of Realistic Driving Cycles With High Accuracy and Computational Speed, Including Slope Information IEEE Transactions on Vehicular Technology 65 6 2016 4118 4128 https://doi.org/10.1109/TVT.2016.2546338
  8. Souffran , G. , Miègeville , L. , and Guérin , P. Simulation of Real-World Vehicle Missions Using a Stochastic Markov Model for Optimal Design Purposes 2011 IEEE Vehicle Power and Propulsion Conference Chicago, IL 2011 https://doi.org/10.1109/VPPC.2011.6043130
  9. Tazelaar , E. , Veenhuizen , B. , Jagerman , J. , and Faassen , T. Energy Management Strategies for Fuel Cell Hybrid Vehicles; an Overview 2013 World Electric Vehicle Symposium and Exhibition (EVS27) Barcelona, Spain 2013 https://doi.org/10.1109/EVS.2013.6915039
  10. Kim , M.-J. and Peng , H. Power Management and Design Optimization of Fuel Cell/Battery Hybrid Vehicles Journal of Power Sources 165 2007 819 832 https://doi.org/10.1016/j.jpowsour.2006.12.038
  11. Hu , X. , Johannesson , L. , Murgovski , N. , and Egardt , B. Longevity-Conscious Dimensioning and Power Management of the Hybrid Energy Storage System in a Fuel Cell Hybrid Electric Bus Applied Energy 137 2015 913 924 https://doi.org/10.1016/j.apenergy.2014.05.013
  12. Wai , R.-J. , Jhung , S.-J. , Liaw , J.-J. , and Chang , Y.-R. Intelligent Optimal Energy Management System for Hybrid Power Sources Including Fuel Cell and Battery IEEE Transactions on Power Electronics 28 7 2013 3231 3244 https://doi.org/10.1109/TPEL.2012.2219323
  13. Tang , X. , Jia , T. , Hu , X. , Huang , Y. et al. Naturalistic Data-Driven Predictive Energy Management for Plug-In Hybrid Electric Vehicles IEEE Transactions on Transportation Electrification 7 2 2021 497 508 https://doi.org/10.1109/TTE.2020.3025352
  14. Liu , T. , Tang , X. , Wang , H. , Yu , H. et al. Adaptive Hierarchical Energy Management Design for a Plug-In Hybrid Electric Vehicle IEEE Transactions on Vehicular Technology 68 12 2019 11513 11522 https://doi.org/10.1109/TVT.2019.2926733
  15. Traussnig , A. , Jansen , W. , Petutschnig , H. , Steiner , S. et al. A Simulation Approach for Vehicle Life-Time Thermal Analysis Applied to a HEV Battery System SAE Technical Paper 2016-01-0201 2016 https://doi.org/10.4271/2016-01-0201
  16. Ahmed , N.K. and Kapadia , J. Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles SAE Technical Paper 2018-01-1202 2018 https://doi.org/10.4271/2018-01-1202
  17. Asher , Z.D. , Tunnell , J.A. , Baker , D.A. , Fitzgerald , R.J. et al. Enabling Prediction for Optimal Fuel Economy Vehicle Control SAE Technical Paper 2018-01-1015 2018 https://doi.org/10.4271/2018-01-1015
  18. Kondaru , M.K. , Telikepalli , K.P. , Thimmalapura , S.V. , and Pandey , N.K. Generating a Real World Drive Cycle-A Statistical Approach SAE Technical Paper 2018-01-0325 2018 https://doi.org/10.4271/2018-01-0325
  19. Haller , J. 2018
  20. Pauli , F. 2016
  21. Feldman , R. and Valdez-Flores , C. Applied Probability and Stochastic Processes 2nd Berlin/Heidelberg Springer-Verlag 2010 https://doi.org/10.1007/978-3-642-05158-6
  22. Schütz , T. Hucho—Aerodynamik des Automobils 6th Wiesbaden Springer Fachmedien 2013 https://doi.org/10.1007/978-3-8348-2316-8

Cited By