Computer simulation study on ultracapacitor for electric vehicle

Author

Su, Chu-qi ; Zhang, Du-que

Author_Institution

Automotive Eng. Sch., Wuhan Univ. of Technol., Wuhan, China

Volume

1

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

199

Lastpage

203

Abstract

This paper puts forword a mathematical model of BP neural network of ultracapacitor, based on analysing its energy storage and characteristics of current and voltage variation in charge and discharge process, considering the effect of temperature, current and voltage variations to ultracapacitor, and builds the model of hybrid electric vehicle (HEV) and its drive system respectively. From the analysis of simulation results, it can be concluded that the BP neural network model of ultracapacitor can effectively describe the dynamic variation characteristics of its capacitance value.

Keywords

backpropagation; energy storage; hybrid electric vehicles; neural nets; supercapacitors; BP neural network; computer simulation; discharge process; energy storage; hybrid electric vehicle; mathematical model; ultracapacitor; Computer simulation; Drives; Electric vehicles; Energy storage; Hybrid electric vehicles; Mathematical model; Neural networks; Supercapacitors; Temperature; Voltage; BP neural network; computer simulation; ultracapacitor;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357896

Filename

5357896