Description |
v, 36 p. : digital, PDF file |
Series |
NREL/TP ; 540-26934 |
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NREL/TP ; 540-26934.
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System Details |
Mode of access via the NREL web site. |
Note |
Title from title screen (viewed Feb. 1, 2008). |
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"August 1999." |
Summary |
In this paper, we demonstrate the application of an artificial neural network (ANN) to modeling the ESS. The model maps the system's state-of-charge (SOC) and the vehicle's power requirement to the bus voltage and current. We show that neural network models can accurately capture the complex, non-linear correlations accurately. Further, we propose and deploy our new technique, Smart Select, for designing neural network training data. |
Form |
Full text available via Internet in .pdf format. Adobe Acrobat Reader required. |
Subject |
Hybrid electric vehicles -- Research.
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Energy storage -- Mathematical models.
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Added Author |
Bhatikar, Sanjay R.
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University of Colorado, Boulder.
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National Renewable Energy Laboratory (U.S.)
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Gpo Item No. |
0430-P-03 (online) |
Sudoc No. |
E 9.16:NREL/TP-540-26934 |
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