Model Predictive Platoon Control of Connected Hybrid Electric Vehicles

This paper presents a model predictive platoon control method for connected hybrid electric vehicles (CHEVs) to improve the safety, fuel economy, and riding comfort of CHEVs. First, the model of platooning CHEVs is established to describe the nonlinear and discrete characteristics of CHEVs, which consists of engine model, motor model, battery pack model, vehicle longitudinal dynamic model and so on. Then, a model predictive controller(MPC) for platooning CHEVs is proposed, a robust prediction model is build based on feedback correction to compensate the prediction state error caused by model mismatch and improve the accuracy and robustness, and the control increment in each sampling period is set as the control variable in the cost function to avoid the sudden change of the control variable that will be prone to poor control results and unfeasible solutions. Next, the dynamic coordination control rules between the power sources of CHEVs are presented. Finally, the results show that the proposed MPC platoon controller can improve both fuel economy and riding comfort of CHEVs meanwhile explicitly satisfying the tracking capability.

• Record URL:
  https://doi.org/10.4271/2020-01-5031
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Ban, Wang
  • Jinghua, Guo
  • Wenchang, Li
• Conference:
  • SAE 2019 Intelligent and Connected Vehicles Symposium
  • Location: Kunshan , China
  • Date: 2019-10-15 to 2019-10-16
• Publication Date: 2020-2-24

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Automated vehicle control; Connected vehicles; Electric vehicles; Hybrid vehicles; Traffic platooning; Vehicle dynamics
• Subject Areas: Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01743535
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2020-01-5031
• Files: TRIS, SAE
• Created Date: Jun 22 2020 5:53PM