DocumentCode :
3660033
Title :
Intelligent power monitoring systems for battery-powered electric vehicles
Author :
Yu-Heng Lin;Dian-Rong Li;Jhih-Kai Chuang;Yih-Guang Leu
Author_Institution :
Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan, ROC
fYear :
2015
Firstpage :
133
Lastpage :
137
Abstract :
An intelligent power monitoring system is studied and implemented in a two-wheeled battery-powered electric vehicle. The power monitoring system utilizes a neural network to estimate the state of charge for the battery-powered electric vehicle. The neural network is trained by the internal loss data of the battery of the vehicle in order to approximate its energy characteristic. The trained neural network is implemented on a tablet computer and provides the real time estimate of remainder energy which denotes the remainder distance. Some experiments are performed to verify the accuracy of the energy estimate for the two-wheeled battery-powered electric vehicle.
Keywords :
"Batteries","Vehicles","Current measurement","Estimation","Temperature measurement","Voltage measurement","Lead"
Publisher :
ieee
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICInfA.2015.7279272
Filename :
7279272
Link To Document :
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