Model Based Validation of Intelligent Powertrain Strategies for Connected and Automated Vehicles

Journal Article · Mon Apr 17 00:00:00 EDT 2023 · IEEE Xplore

DOI:https://doi.org/10.1109/SysCon53073.2023.10131092· OSTI ID:2569129

Bhagdikar, Piyush ^[1]; Sarlashkar, Jayant ^[1]; Gankov, Stanislav ^[1]; Rengarajan, Sankar ^[1]; Downing, Walter ^[1]; Hotz, Scott ^[1]

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1. Southwest Research Institute, San Antonio, TX (United States)

Systems incorporating Vehicle to Everything (V2X) and conventional cellular based communication in vehicles can significantly help improve energy consumption via a combination of intelligent powertrain control strategies, smarter routing algorithms and driving in such a way as to minimize fuel economy and the emission of carbon dioxide, known as "eco-driving." In projects led by the Southwest Research Institute (SwRI), large-scale traffic simulations are created to model real-world scenarios with dynamic behavior that is reactive to imposed changes. Coupled with high fidelity powertrain models, the closed loop framework enables research and development of such Connected and Automated Vehicle (CAV) enabled technologies at scale. This paper will discuss a traffic system simulation environment that was built based on the High Street urban corridor in Columbus, Ohio. Eco-driving strategies were tested at scale on a variety of powertrain platforms – internal combustion engines, hybrid electric and fully electric vehicles. Furthermore, the paper will focus on hybrid electric powertrain modeling along with details on how the powertrain model was leveraged to develop a sophisticated clustering scheme to help down-select speed traces from large scale simulation studies for validation on vehicle dynamometer. Nominal energy consumption improvement around 12% was observed with good match between simulation studies and vehicle testing.

• Research Organization: Southwest Research Institute, San Antonio, TX (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO); USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• Grant/Contract Number: EE0008873; EE0008873; AR0000837
• OSTI ID: 2569129
• Journal Information: IEEE Xplore, Journal Name: IEEE Xplore; ISSN 2472-9647
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
connected and automated vehicles
eco driving
vehicle powertrain controls
vehicle powertrain model