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Demonstration of Energy Consumption Reduction in Class 8 Trucks Using Eco-Driving Algorithm Based on On-Road Testing Southwest Research Institute

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Bhagdikar, Piyush, author.
Contributor:
Brown, Michael
Frazier, Cole
Gankov, Stanislav
Rengarajan, Sankar
Sarlashkar, Jayant
Warden, Rebecca
Conference Name:
WCX SAE World Congress Experience (2022-04-05 : Detroit & Online, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2022
Summary:
Vehicle to Everything (V2X) communication has enabled on-board access to information from other vehicles and infrastructure. This information, traditionally used for safety applications, is increasingly being used for improving vehicle fuel economy [1-5]. This work aims to demonstrate energy consumption reductions in heavy/medium duty vehicles using an eco-driving algorithm. The algorithm is enabled by V2X communication and uses data contained in Basic Safety Messages (BSMs) and Signal Phase and Timing (SPaT) to generate an energy-efficient velocity trajectory for the vehicle to follow. An urban corridor was modeled in a microscopic traffic simulation package and was calibrated to match real-world traffic conditions. A nominal reduction of 7% in energy consumption and 6% in trip time was observed in simulations of eco-driving trucks. Next, track testing of representative velocity profiles was executed based on SAE J1321 recommended practices [6], which showed good agreement with simulation results. The team also went through an exercise to understand the achievable upper bounds on energy consumption benefits based on a drive cycle synthesized by National Renewable Energy Laboratory (NREL) for Port Drayage application [7]. The velocity trajectory generation using a calibrated traffic simulation, use of offline smoothing routines to understand upper bounds, and track testing based on J1321 procedures contribute towards the novelty of this work
Notes:
Vendor supplied data
Publisher Number:
2022-01-0139
Access Restriction:
Restricted for use by site license

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