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Title: Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey

Journal Article · · IEEE Transactions on Intelligent Transportation Systems
 [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
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The growing necessity for environmentally benign hybrid propulsion systems has led to the development of advanced power management control algorithms to maximize fuel economy and minimize pollutant emissions. This paper surveys the control algorithms for hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) that have been reported in the literature to date. The exposition ranges from parallel, series, and power split HEVs and PHEVs and includes a classification of the algorithms in terms of their implementation and the chronological order of their appearance. Remaining challenges and potential future research directions are also discussed.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). National Transportation Research Center (NTRC)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1126957
Journal Information:
IEEE Transactions on Intelligent Transportation Systems, Vol. 15, Issue 5; ISSN 1524-9050
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 128 works
Citation information provided by
Web of Science

Cited By (7)

Improved Fuel Economy of Through-the-Road Hybrid Electric Vehicle with Fuzzy Logic-Based Energy Management Strategy journal July 2018
Towards connected autonomous driving: review of use-cases journal July 2018
Driving shaft lifetime enhancement by hybrid electrification journal December 2017
Optimal integrated energy management and shift control in parallel hybrid electric vehicles with dual-clutch transmission journal June 2019
Benchmark fuel economy for a parallel hybrid electric three-wheeler vehicle (rickshaw) journal December 2018
Intelligent Energy Management Algorithms for EV-charging Scheduling with Consideration of Multiple EV Charging Modes journal January 2019
Sensitivity Analysis of the Battery Model for Model Predictive Control: Implementable to a Plug-In Hybrid Electric Vehicle journal November 2018

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Related Subjects

33 ADVANCED PROPULSION SYSTEMS
power management control
hybrid electric vehicles
plug-in HEVs
stochastic optimal control
fuel economy
GHG emissions