Title :
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
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;
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
DOI :
10.1109/ICICISYS.2009.5357896
