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

Design and Validation of a High-Level Controller for Automotive Active Systems

Journal Article
10-07-01-0006
ISSN: 2380-2162, e-ISSN: 2380-2170
Published November 07, 2022 by SAE International in United States
Design and Validation of a High-Level Controller for Automotive
                    Active Systems
Sector:
Citation: de Carvalho Pinheiro, H. and Carello, M., "Design and Validation of a High-Level Controller for Automotive Active Systems," SAE Int. J. Veh. Dyn., Stab., and NVH 7(1):83-98, 2023, https://doi.org/10.4271/10-07-01-0006.
Language: English

References

  1. Schmitt , M.C. and Pischinger , S. Trends and Challenges in Mobility and Transportation Grote , K.-H. and Hefazi , H. Springer Handbook of Mechanical Engineering Cham Springer International Publishing 2021 995 1014 10.1007/978-3-030-47035-7_21
  2. Armstrong , K. , Das , S. , and Cresko , J. The Energy Footprint of Automotive Electronic Sensors Sustain. Mater. Technol. 25 2020 e00195 10.1016/j.susmat.2020.e00195
  3. Wang , S. , Al Atat , H. , Ghaffari , M. , Lee , J. et al. Failure Prevention for System Availability - Proceedings of the 62nd Meeting of the Society for Machinery Failure Prevention Technology 2008 https://www.researchgate.net/publication/271270955_Prognostics_of_Automotive_Sensors_Tools_and_Case_Study
  4. Bielaczyc , P. and Woodburn , J. Trends in Automotive Emission Legislation: Impact on LD Engine Development, Fuels, Lubricants and Test Methods: A Global View, with a Focus on WLTP and RDE Regulations Emiss. Control Sci. Technol. 5 1 2019 86 98 10.1007/s40825-019-0112-3
  5. de Carvalho Pinheiro , H. , Cruz Stanke , D. , Ferraris , A. , Carello , M. et al. Autonomous Driving Scenario Generation in Overtake Manoeuvres through Data Fusion Niola , V. and Gasparetto , A. Advances in Italian Mechanism Science Cham Springer 2021 786 794 10.1007/978-3-030-55807-9_87
  6. Carello , M. , Ferraris , A. , Carvalho Pinheiro , H. , Cruz Stanke , D. et al. Human-Driving Highway Overtake and Its Perceived Comfort: Correlational Study Using Data Fusion SAE Technical Paper 2020-01-1036 2020 https://doi.org/10.4271/2020-01-1036
  7. Plöger , M. , Sauer , J. , Büdenbender , M. , Held , J. et al. Testing Networked ECUs in a Virtual Car Environment SAE Technical Paper 2004-01-1724 2004 https://doi.org/10.4271/2004-01-1724
  8. Carvalho Pinheiro , H. , Ferraris , A. , Galanzino , E. , Sisca , L. et al. All-Wheel Drive Electric Vehicle Modeling and Performance Optimization SAE Technical Paper 2019-36-0197 2019 https://doi.org/10.4271/2019-36-0197
  9. Ferraris , A. , de Carvalho Pinheiro , H. , Galanzino , E. , Airale , A.G. et al. All-Wheel Drive Electric Vehicle Performance Optimization: From Modelling to Subjective Evaluation on a Static Simulator 2019 Electric Vehicles International Conference (EV 2019) Bucharest, Romania 2019 10.1109/EV.2019.8893027
  10. de Carvalho Pinheiro , H. , Russo , F. , Sisca , L. , Messana , A. et al. 2020 10.1115/DETC2020-22290
  11. de Carvalho Pinheiro , H. , Russo , F. , Sisca , L. , Messana , A. et al. 2020 10.1115/DETC2020-22298
  12. Ferraris , A. , De Cupis , D. , De Carvalho Pinheiro , H. , Messana , A. et al. Integrated Design and Control of Active Aerodynamic Features for High Performance Electric Vehicles SAE Technical Paper 2020-36-0079 2021 https://doi.org/10.4271/2020-36-0079
  13. VI-grade GmbH 2020
  14. de Carvalho Pinheiro , H. , Castro dos Santos , P.G. , Sisca , L. , Scavuzzo , S. et al. 2020 10.1115/DETC2020-22306
  15. de Carvalho Pinheiro , H. , Messana , A. , and Carello , M. In-Wheel and On-Board Motors in BEV: Lateral and Vertical Performance Comparison 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) Prague, CZ 1 6 2022 10.1109/EEEIC/ICPSEurope54979.2022.9854774
  16. Ullah , I. , Liu , K. , Yamamoto , T. , Al Mamlook , R.E. et al. A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability Energy & Environment 33 8 2022 1583 1612 https://doi.or10.1177/0958305X211044998
  17. Carello , M. , de Carvalho Pinheiro , H. , Longega , L. , and Di Napoli , L. Design and Modelling of the Powertrain of a Hybrid Fuel Cell Electric Vehicle SAE Int. J. Adv. Curr. Pract. Mobil. 3 6 2021 2878 2892 https://doi.org/10.4271/2021-01-0734
  18. Carello , M. , Bonansea , P. , and D’Auria , M. Driveline Optimization for a Hybrid Electric City Vehicle to Minimize Fuel Consumption SAE Technical Paper 2014-01-1090 2014 https://doi.org/10.4271/2014-01-1090
  19. Ferraris , A. , Messana , A. , Airale , A.G. , Sisca , L. et al. Nafion® Tubing Humidification System for Polymer Electrolyte Membrane Fuel Cells Energies 12 9 2019 1773 10.3390/en12091773
  20. Davoudi , M. , Menhaj , M.B. , and Davoudi , M. A Fuzzy Based Vehicle Dynamic Stability Control (FDSC) SAE Technical Paper 2006-01-3483 2006 https://doi.org/10.4271/2006-01-3483
  21. Sidhu , A. , Guenther , D.A. , and Heydinger , G.J. Development of a Method to Assess Vehicle Stability and Controllability in Open and Closed-Loop Maneuvers SAE Technical Paper 2010-01-0111 2010 https://doi.org/10.4271/2010-01-0111
  22. Nitta , C. , Koto , H. , and Takahashi , K. Online Estimation of Vehicle Stability Factor for Electronic Stability Control SAE Technical Paper 2013-01-0690 2013 https://doi.org/10.4271/2013-01-0690
  23. Ahmed , A.A. and Saleh Alshandoli , A.F. Using of Neural Network Controller and Fuzzy PID Control to Improve Electric Vehicle Stability Based on A14-DOF Model 2020 International Conference on Electrical Engineering (ICEE) Istanbul, Turkey 1 6 2020 10.1109/ICEE49691.2020.9249784
  24. Peng , H. and Chen , X. Active Safety Control of X-by-Wire Electric Vehicles: A Survey SAE Int. J. Veh. Dyn. Stab. NVH 6 2 2022 115 133 https://doi.org/10.4271/10-06-02-0008
  25. Tianjun , Z. , Wan , H. , Wang , Z. , Wei , M. et al. Model Reference Adaptive Control of Semi-active Suspension Model Based on AdaBoost Algorithm for Rollover Prediction SAE Int. J. Veh. Dyn. Stab. NVH 6 1 2021 71 86 https://doi.org/10.4271/10-06-01-0005
  26. Masding , P.W. and Bumby , J.R. Identification and Performance Simulation of a Hybrid I.C.-Engine/Battery Electric Automotive Power Train. Part 1: The I.C. Engine Trans. Inst. Meas. Control 12 1 1990 27 39 10.1177/014233129001200104
  27. Masding , P.W. and Bumby , J.R. Identification and Performance Simulation of a Hybrid I.C.-Engine/Battery Electric Automotive Power Train. Part 2: The Electric Traction System Trans. Inst. Meas. Control 12 2 1990 97 112 10.1177/014233129001200205
  28. Wong , A. , Kasinathan , D. , Khajepour , A. , Chen , S.-K. et al. Integrated Torque Vectoring and Power Management Framework for Electric Vehicles Control Eng. Pract. 48 2016 22 36 10.1016/j.conengprac.2015.12.012
  29. De Novellis , L. , Sorniotti , A. , Gruber , P. , Shead , L. et al. Torque Vectoring for Electric Vehicles with Individually Controlled Motors: State-of-the-Art and Future Developments World Electr. Veh. J. 5 2 2012 617 628 10.3390/wevj5020617
  30. de Carvalho Pinheiro , H. , Messana , A. , Sisca , L. , Ferraris , A. et al. Torque Vectoring in Electric Vehicles with In-Wheel Motors Uhl , T. Advances in Mechanism and Machine Science Cham Springer International Publishing 2019 3127 3136 10.1007/978-3-030-20131-9_308
  31. de Carvalho Pinheiro , H. , Punta , E. , Carello , M. , Ferraris , A. et al. Torque Vectoring in Hybrid Vehicles with In-Wheel Electric Motors: Comparing SMC and PID Control 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC/ICPS Europe) Bari, Italy 1 6 2021 10.1109/EEEIC/ICPSEurope51590.2021.9584732
  32. Cooper , N. , Crolla , D. , Levesley , M. , and Manning , W. Integration of Active Suspension and Active Driveline to Ensure Stability While Improving Vehicle Dynamics SAE Technical Paper 2005-01-0414 2005 https://doi.org/10.4271/2005-01-0414
  33. Bonfitto , A. , Feraco , S. , Amati , N. , and Tonoli , A. 2019 10.1115/DETC2019-97906
  34. Gehring , J. and Schütte , H. A Hardware-in-the-Loop Test Bench for the Validation of Complex ECU Networks SAE Technical Paper 2002-01-0801 2002 https://doi.org/10.4271/2002-01-0801
  35. Esfandyari , M.J. , Yazdi , M.R.H. , Esfahanian , V. , and Nehzati , H. A Low-Cost Single PC Based HiL Simulation Platform for Verification of the Hybrid Electric Vehicle Control Unit Iranian Conference on Electrical Engineering (ICEE) Mashhad, Iran 760 765 2018 10.1109/ICEE.2018.8472636
  36. Borman , S. , Kennedy , G. , Cains , T. , Hall , J. et al. The Development of a Flexible Hybrid Vehicle Control Unit SAE Technical Paper 2014-01-1907 2014 https://doi.org/10.4271/2014-01-1907
  37. Yunzheng , Z. , Shaofei , Q. , Huang , A.C. , and Jianhong , X. Smart Vehicle Control Unit—An Integrated BMS and VCU System IFAC-Pap. 51 31 2018 676 679 10.1016/j.ifacol.2018.10.156
  38. Sültrop , C. Vehicle Control Unit for Drivetrains Exclusively from Power Electronics Technology Demonstrators 2015 IEEE Transportation Electrification Conference and Expo (ITEC) Dearborn, MI 1 6 2015 10.1109/ITEC.2015.7165825
  39. Slivka , D. , Palacky , P. , Vaculik , P. , and Havel , A. Electric Vehicle Control Units Communication Adv. Electr. Electron. Eng. 10 1 2012 17 21 10.15598/aeee.v10i1.557
  40. Liu , Y. and Cheng , Y. Vehicle Control Unit Integrated with GPRS/GPS Development for Electric Vehicle Adv. Mater. Res. 694-697 2013 2680 2684 10.4028/www.scientific.net/AMR.694-697.2680
  41. Liu , B. and Li , Y. Research on Vehicle Control Unit Based on Functional Safety 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) Wuhan, China 160 164 2017 10.1109/ACIRS.2017.7986085
  42. Li , J. , Li , D. , and Xu , Y. Design of Dual MCU Vehicle Control Unit Based on Electric Vehicles to Respond to Control Failure IOP Conf. Ser. Earth Environ. Sci. 512 1 2020 012132 10.1088/1755-1315/512/1/012132
  43. Jeutter , R. and Heppner , B. Model-Based System Development - Is it the Solution to Control the Expanding System Complexity in the Vehicle? SAE Technical Paper 2004-01-0300 2004 https://doi.org/10.4271/2004-01-0300
  44. Aouadj , N. , Hartani , K. , and Fatiha , M. New Integrated Vehicle Dynamics Control System Based on the Coordination of Active Front Steering, Direct Yaw Control, and Electric Differential for Improvements in Vehicle Handling and Stability SAE Int. J. Veh. Dyn. Stab. NVH 4 2 2020 119 133 https://doi.org/10.4271/10-04-02-0009
  45. Puellen , L. , Kaul , D. , and Doerr , M. 2009
  46. De Martino , M. , Farroni , F. , Pasquino , N. , Sakhnevych , A. , and Timpone , F. Real-Time Estimation of the Vehicle Sideslip Angle through Regression Based on Principal Component Analysis and Neural Networks 2017 IEEE International Systems Engineering Symposium (ISSE) Vienna, Austria 1 6 2017 10.1109/SysEng.2017.8088274
  47. Nishio , A. , Tozu , K. , Yamaguchi , H. , Asano , K. et al. Development of Vehicle Stability Control System Based on Vehicle Sideslip Angle Estimation SAE Technical Paper 2001-01-0137 2001 https://doi.org/10.4271/2001-01-0137
  48. Chindamo , D. , Gadola , M. , Bonera , E. , and Magri , P. Experimental Comparison of The Two Most Used Vehicle Sideslip Angle Estimation Methods for Model-Based Design Approach J. Phys. Conf. Ser. 1888 1 2021 012006 10.1088/1742-6596/1888/1/012006
  49. Moon , K.S. , Osborne , M.D. , Kuykendall , D.J. , and Poirier , W.H. Modeling of Human Response From Vehicle Performance Characteristics Using Artificial Neural Networks SAE Technical Paper 2002-01-1570 2002 https://doi.org/10.4271/2002-01-1570
  50. Genta , G. and Morello , L. The Automotive Chassis 1-2 Springer Dordrecht: Netherlands 2008 978-1-4020-8676-2
  51. Setiawan , J.D. , Safarudin , M. , and Singh , A. Modeling, Simulation and Validation of 14 DOF Full Vehicle Model International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009 Bandung 1 6 2009 10.1109/ICICI-BME.2009.5417285
  52. EMRAX https://emrax.com/products/emrax-208/ 2016

Cited By