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

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.
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
OSTI Identifier:
Grant/Contract Number:
Accepted Manuscript
Journal Name:
IEEE Transactions on Intelligent Transportation Systems
Additional Journal Information:
Journal Volume: 15; Journal Issue: 5; Journal ID: ISSN 1524-9050
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); National Transportation Research Center (NTRC)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
33 ADVANCED PROPULSION SYSTEMS power management control; hybrid electric vehicles; plug-in HEVs; stochastic optimal control; fuel economy; GHG emissions