Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey
Abstract
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.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- 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)
- OSTI Identifier:
- 1126957
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Intelligent Transportation Systems
- Additional Journal Information:
- Journal Volume: 15; Journal Issue: 5; Journal ID: ISSN 1524-9050
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 33 ADVANCED PROPULSION SYSTEMS; power management control; hybrid electric vehicles; plug-in HEVs; stochastic optimal control; fuel economy; GHG emissions
Citation Formats
Malikopoulos, Andreas. Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey. United States: N. p., 2014.
Web. doi:10.1109/TITS.2014.2309674.
Malikopoulos, Andreas. Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey. United States. https://doi.org/10.1109/TITS.2014.2309674
Malikopoulos, Andreas. Mon .
"Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey". United States. https://doi.org/10.1109/TITS.2014.2309674. https://www.osti.gov/servlets/purl/1126957.
@article{osti_1126957,
title = {Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey},
author = {Malikopoulos, Andreas},
abstractNote = {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.},
doi = {10.1109/TITS.2014.2309674},
journal = {IEEE Transactions on Intelligent Transportation Systems},
number = 5,
volume = 15,
place = {United States},
year = {Mon Mar 31 00:00:00 EDT 2014},
month = {Mon Mar 31 00:00:00 EDT 2014}
}
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