| Description |
v, 36 p. : digital, PDF file |
| Series |
NREL/TP ; 540-26934 |
|
NREL/TP ; 540-26934.
|
| System Details |
Mode of access via the NREL web site. |
| Note |
Title from title screen (viewed Feb. 1, 2008). |
|
"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.
|
|
Energy storage -- Mathematical models.
|
| Added Author |
Bhatikar, Sanjay R.
|
|
University of Colorado, Boulder.
|
|
National Renewable Energy Laboratory (U.S.)
|
| Gpo Item No. |
0430-P-03 (online) |
| Sudoc No. |
E 9.16:NREL/TP-540-26934 |
|
