.png){kind=icon}
Return
Battery performance models in ADVISOR
.png){kind=icon}
PRE
AI
DOI：10.1016/S0378-7753(02)00194-5.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper summarizes battery modeling capabilities in ADVISOR-the National Renewable Energy Laboratory's advanced vehicle simulator written in the Matlab/Simulink environment. ADVISOR's Matlab-oriented battery models consist of the following: (1) an internal resistance model, (2) a resistance-capacitance (RC) model, (3) a PNGV capacitance model, (4) a neural network (nnet) lead acid model, and (5) a fundamental lead acid battery model. For the models, the electric schematics (where applicable), thermal models, accuracy, existing datasets, and sample validation plots are presented. A brief summary of ADVISOR's capabilities for co-simulation with Saber is presented, which links ADVISOR with Saber's lead acid battery model. The models outlined in this paper were presented at the workshop on 'Development of Advanced Battery Engineering Models' in August 2001. (C) 2002 Elsevier Science B.V. All rights reserved.
Keywords:
battery model
lithium ion
nickel-metal hydride
lead acid
vehicle simulations
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.9
Papers:
3.7W
Citations:
15.0W
Organization
No organization information available
.png){kind=icon}
