DocumentCode
2095118
Title
Notice of Retraction
Optimal Power Split in a Hybrid Electric Vehicle Using Improved Dynamic Programming
Author
Caiying Shen ; Xia Chaoying
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Hybrid Electric Vehicles(HEV) are usually powered by two different energy sources, typically, they are equipped with an internal combustion engine and a bank of batteries. It is important to split the required power between the two energy sources in order to minimize fuel consumption. In this paper, this problem is posed as an optimal control problem and solved using improved dynamic programming (DP), improved DP is applied to reduce the computing time, Finally, it is simulated based on PSATv6.1, compared with other algorithm, the results of simulation indicate that the fuel economy of series HEV is improved greatly.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Hybrid Electric Vehicles(HEV) are usually powered by two different energy sources, typically, they are equipped with an internal combustion engine and a bank of batteries. It is important to split the required power between the two energy sources in order to minimize fuel consumption. In this paper, this problem is posed as an optimal control problem and solved using improved dynamic programming (DP), improved DP is applied to reduce the computing time, Finally, it is simulated based on PSATv6.1, compared with other algorithm, the results of simulation indicate that the fuel economy of series HEV is improved greatly.
Keywords
dynamic programming; hybrid electric vehicles; internal combustion engines; secondary cells; battery banks; dynamic programming; energy sources; fuel consumption minimisation; hybrid electric vehicle; internal combustion engine; optimal power split; Batteries; Computational modeling; Dynamic programming; Energy storage; Fuels; Hybrid electric vehicles; Internal combustion engines; Load flow; Optimal control; Optimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Type
conf
DOI
10.1109/APPEEC.2010.5448492
Filename
5448492
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