01698116

Component

The emerging connected and automated vehicle (CAV) technology has opened the door for developing innovative applications and systems to improve vehicle energy efficiency. While most of the recent research has been focused on optimizing vehicle dynamic (VD) and powertrain (PT) operation in isolation, there exists untapped potential to further improve vehicle fuel efficiency through a co-optimization of VD&PT control. In this paper, the authors develop an eco-operation solution for a plug-in hybrid electric bus (PHEB) which seamlessly integrates state-of-the-art CAV applications with advanced powertrain optimization strategies, aiming at improving vehicle energy efficiency and reducing tailpipe emissions. The proposed eco-operation system have 6 components, including traffic/signal timing information acquirement, information integration, scenario identification, powertrain, trajectory planning and a MATLAB/Simulink model for validation and fine-tuning. A deeply integrated vehicle dynamic and powertrain control algorithm is proposed in the paper to optimize the energy-efficiency. Based on the key logic of powertrain control strategy of PHEB, the authors develop a simplified PHEB powertrain model, and put it into their graph based optimization model as the edge cost to derive the optimal speed profile, which is further fine-tuned in the Simulink model. The proposed mode is validated in multiple numerical tests under Eco-Approach and Departure, Eco-Stop and Launch and Eco-Cruise scenarios, and shows significant performance (above 20%) in energy-saving.

This paper was sponsored by TRB committee ADC80 Standing Committee on Alternative Transportation Fuels and Technologies.

19-03195

English

6p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References; Tables

Algorithms; Autonomous vehicles; Connected vehicles; Ecodriving; Electric buses; Energy consumption; Plug-in hybrid vehicles; Power trains; Vehicle dynamics; Vehicle performance

Energy; Highways; Operations and Traffic Management; Public Transportation; Vehicles and Equipment

Transportation Research Board Annual Meeting 2019 Paper #19-03195

TRIS, TRB, ATRI

Dec 7 2018 9:46AM