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Title: Deeply Integrated Vehicle Dynamic and Powertrain Operation for Efficient Plug-in Hybrid Electric Bus

Abstract

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,more » Eco-Stop and Launch and Eco-Cruise scenarios, and shows significant performance (above 20%) in energy-saving.« less

Authors:
 [1];  [1];  [1]; ORCiD logo [2]; ORCiD logo [2];  [1]
  1. University of California Riverside
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1560399
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: TRB Annual Meeting - Washington, District of Columbia, United States of America - 1/13/2019 10:00:00 AM-1/17/2019 10:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Hao, Peng, Boriboonsomsin, Kanok, Wu, Guoyuan, Gao, Zhiming, Laclair, Tim, and Barth, Matthew. Deeply Integrated Vehicle Dynamic and Powertrain Operation for Efficient Plug-in Hybrid Electric Bus. United States: N. p., 2019. Web.
Hao, Peng, Boriboonsomsin, Kanok, Wu, Guoyuan, Gao, Zhiming, Laclair, Tim, & Barth, Matthew. Deeply Integrated Vehicle Dynamic and Powertrain Operation for Efficient Plug-in Hybrid Electric Bus. United States.
Hao, Peng, Boriboonsomsin, Kanok, Wu, Guoyuan, Gao, Zhiming, Laclair, Tim, and Barth, Matthew. 2019. "Deeply Integrated Vehicle Dynamic and Powertrain Operation for Efficient Plug-in Hybrid Electric Bus". United States. https://www.osti.gov/servlets/purl/1560399.
@article{osti_1560399,
title = {Deeply Integrated Vehicle Dynamic and Powertrain Operation for Efficient Plug-in Hybrid Electric Bus},
author = {Hao, Peng and Boriboonsomsin, Kanok and Wu, Guoyuan and Gao, Zhiming and Laclair, Tim and Barth, Matthew},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/1560399}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

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