A Cascaded Multi-Rate Model Predictive Control and Reference Governor Approach for Real-Time Velocity Optimization in the Presence of Traffic

Conference · Wed Jun 20 00:00:00 EDT 2018

OSTI ID:1557258

Groelke, Ben ^[1]; Earnhardt, Christian ^[1]; Borek, John ^[1]; Vermillion, Christopher ^[2]

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1. Univ. of North Carolina, Charlotte, NC (United States)
2. Univ. of North Carolina, Charlotte, NC (United States). Dept. of Mechanical Engineering

This paper presents a novel approach for ecological driving with distance keeping, where a long-horizon model predictive control (MPC) strategy for fuel consumption minimization is cascaded with a short-horizon reference governor for maintaining safe following distance. The control strategy developed in this work has been validated using a medium-fidelity proprietary Volvo model of a heavy-duty truck for three representative trucking routes. Results indicate the control strategy developed in this paper produces fuel savings of 5.11% - 6.17% when compared to the baseline.

• Research Organization: North Carolina State Univ., Raleigh, NC (United States)
• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• DOE Contract Number: AR0000801
• OSTI ID: 1557258
• Resource Relation: Conference: 14. International Symposium On Advanced Vehicle Control, Beijing (China), 16-20 Jul 2018
• Country of Publication: United States
• Language: English

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