Neural network based energy storage system modeling for hybrid electric vehicles / S.R. Bhatikar [and others].

Format:

Book

Government document

Contributor:

Bhatikar, Sanjay R.

University of Colorado Boulder

National Renewable Energy Laboratory (U.S.)

Series:

NREL/TP ; 540-26934.

NREL/TP ; 540-26934

Language:

English

Subjects (All):

Hybrid electric vehicles--Research.

Hybrid electric vehicles.

Energy storage--Mathematical models.

Energy storage.

Physical Description:

1 online resource (v, 36 pages)

Place of Publication:

Golden, Colo. : National Renewable Energy Laboratory, [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.

Notes:

Title from title screen (viewed February 1, 2008).

"August 1999."

OCLC:

180205866