The interest of this work is to develop a control strategy to most effectively manage the power split between the energy storage system (ESS) and the diesel generator of a hybrid locomotive. The overall goal is to minimize fuel consumption of the diesel engine, while maximizing battery life of the onboard ESS. This problem proves to be complex due to the conflicting cost functions of fuel economy and battery state-of-health (SOH)[1]. In other words, during a typical drive cycle, fuel consumption is minimized by placing high loads upon the battery while minimizing negative effects on SOH requires more specific loading characteristics of the ESS for the same drive cycle. This work highlights the development of several power split control strategies for effective power management of a hybrid locomotive. The progression from a strict rule-based (RB) control strategy to an equivalent consumption minimization strategy (ECMS) is realized through simulation. Likewise, the advantage of Model Predictive Control (FLC) is also shown in simulation.
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2016 Joint Rail Conference
April 12–15, 2016
Columbia, South Carolina, USA
Conference Sponsors:
- Rail Transportation Division
ISBN:
978-0-7918-4967-5
PROCEEDINGS PAPER
Power Management Control Optimization of a Hybrid Electric-Diesel Locomotive
Andrew Wilson
,
Andrew Wilson
Pennsylvania State University, University Park, PA
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Timothy Cleary
,
Timothy Cleary
Pennsylvania State University, University Park, PA
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Brent Ballew
Brent Ballew
Norfolk Southern Corporation, Norfolk, VA
Search for other works by this author on:
Andrew Wilson
Pennsylvania State University, University Park, PA
Timothy Cleary
Pennsylvania State University, University Park, PA
Brent Ballew
Norfolk Southern Corporation, Norfolk, VA
Paper No:
JRC2016-5777, V001T07A002; 7 pages
Published Online:
June 10, 2016
Citation
Wilson, A, Cleary, T, & Ballew, B. "Power Management Control Optimization of a Hybrid Electric-Diesel Locomotive." Proceedings of the 2016 Joint Rail Conference. 2016 Joint Rail Conference. Columbia, South Carolina, USA. April 12–15, 2016. V001T07A002. ASME. https://doi.org/10.1115/JRC2016-5777
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