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

In-Vehicle Validation of Heavy-Duty Vehicle Fuel Savings via a Hierarchical Predictive Online Controller

Journal Article
2021-01-0432
ISSN: 2641-9645, e-ISSN: 2641-9645
Published April 06, 2021 by SAE International in United States
In-Vehicle Validation of Heavy-Duty Vehicle Fuel Savings via a Hierarchical Predictive Online Controller
Citation: Pelletier, E., Bai, W., Alvarez Tiburcio, M., Borek, J. et al., "In-Vehicle Validation of Heavy-Duty Vehicle Fuel Savings via a Hierarchical Predictive Online Controller," SAE Int. J. Adv. & Curr. Prac. in Mobility 3(4):2159-2169, 2021, https://doi.org/10.4271/2021-01-0432.
Language: English

References

  1. Mandava , S. , Boriboonsomsin , K. , and Barth , M. Arterial Velocity Planning Based on Traffic Signal Information under Light Traffic Conditions 2009 12th International IEEE Conference on Intelligent Transportation Systems 1 6 IEEE 2009
  2. Asadi , B. and Vahidi , A. Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time IEEE Transactions on Control Systems Technology 19 3 707 714 2010
  3. Rodriguez , M. and Fathy , H. Speed Trajectory Optimization for a Heavy-Duty Truck Traversing Multiple Signalized Intersections: A Dynamic Programming Study 2018 IEEE Conference on Control Technology and Applications (CCTA) 1454 1459 IEEE 2018
  4. Rodriguez , M. and Fathy , H. Self-Synchronization of Connected Vehicles in Traffic Networks: What Happens When we Think of Vehicles as Waves? 2019 American Control Conference (ACC) 2651 2657 IEEE 2019
  5. Hellström , E. , Fröberg , A. , and Nielsen , L. A Real-Time Fuel-Optimal Cruise Controller for Heavy Trucks Using Road Topography Information Tech. Rep., SAE Technical Paper 2006 https://doi.org/10.4271/2006-01-0008
  6. Hellström , E. , Ivarsson , M. , Åslund , J. , and Nielsen , L. Look-Ahead Control for Heavy Trucks to Minimize Trip Time and Fuel Consumption Control Engineering Practice 17 2 245 254 2009
  7. Huang , W. , Bevly , D.M. , Schnick , S. , and Li , X. Using 3D Road Geometry to Optimize Heavy Truck Fuel Efficiency 2008 11th International IEEE Conference on Intelligent Transportation Systems 334 339 IEEE 2008
  8. Kamal , M.A.S. , Mukai , M. , Murata , J. , and Kawabe , T. Model Predictive Control of Vehicles on Urban Roads for Improved Fuel Economy IEEE Transactions on Control Systems Technology 21 3 831 841 2012
  9. Borek , J. , Groelke , B. , Earnhardt , C. , and Vermillion , C. Economic Optimal Control for Minimizing Fuel Consumption of Heavy-Duty Trucks in a Highway Environment IEEE Transactions on Control Systems Technology 2019
  10. Earnhardt , C. , Groelke , B. , Borek , J. , and Vermillion , C. Fused Model Predictive Control Techniques for Strategic Platooning amongst Heterogeneous Pairs of Heavy-Duty Trucks Dynamic Systems and Control Conference 59155 V002T22A003 American Society of Mechanical Engineers 2019
  11. Weißmann , A. , Görges , D. , and Lin , X. Energy-Optimal Adaptive Cruise Control Combining Model Predictive Control and Dynamic Programming Control Engineering Practice 72 125 137 2018
  12. Kim , D. , Peng , H. , Bai , S. , and Maguire , J.M. Control of Integrated Powertrain with Electronic Throttle and Automatic Transmission IEEE Transactions on Control Systems Technology 15 3 474 482 2007
  13. Xu , C. , Geyer , S. , and Fathy , H.K. Formulation and Comparison of Two Real-Time Predictive Gear Shift Algorithms for Connected/Automated Heavy-Duty Vehicles IEEE Transactions on Vehicular Technology 68 8 7498 7510 2019
  14. Choi , J.-K. , Kwon , Y.-J. , Jeon , J. , Kim , K. , Choi , H. , and Jang , B. Conceptual Design of Driver-Adaptive Human-Machine Interface for Digital Cockpit 2018 International Conference on Information and Communication Technology Convergence (ICTC) 1005 1007 IEEE 2018
  15. Naujoks , F. , Forster , Y. , Wiedemann , K. , and Neukum , A. A Human-Machine Interface for Cooperative Highly Automated Driving Advances in Human Aspects of Transportation Springer 2017 585 595
  16. Vaezipour , A. , Rakotonirainy , A. , Haworth , N. , and Delhomme , P. Enhancing Eco-Safe Driving Behaviour through the Use of In-Vehicle Human-Machine Interface: A Qualitative Study Transportation Research Part A: Policy and Practice 100 247 263 2017
  17. Paszkowicz , S. , Smith , D. , and Talbot , K. Vehicle Speedometer and Related Method Mar. 26, 2015
  18. Xu , C. , Groelke , B. , Tiburcio , M.A. , Earnhardt , C. et al. Engine-in-the-Loop Study of a Hierarchical Predictive Online Controller for Connected and Automated Heavy-Duty Vehicles Tech. Rep., SAE Technical Paper 2020 https://doi.org/10.4271/2020-01-0592
  19. Borek , J. , Groelke , B. , Earnhardt , C. , and Vermillion , C. Optimal Control of Heavy-Duty Trucks in Urban Environments through Fused Model Predictive Control and Adaptive Cruise Control 2019 American Control Conference (ACC) 4602 4607 IEEE 2019
  20. Groelke , B. , Earnhardt , C. , Borek , J. , and Vermillion , C. A Cascaded Multi-Rate Model Predictive Control and Reference Governor Approach for Real-Time Velocity Optimization in the Presence of Traffic 2018
  21. Bai , W. , Borek , J. , Gao , L. , Vermillion , C. , and Brennan , S. Determining the Region of Influence of a Signalized Traffic Intersection by Analysis of Heavy-Duty Diesel Vehicle Fuel Consumption 2021 American Control Conference (ACC), in Review IEEE 2021

Cited By