The online monitoring system software design and the SOC estimation algorithm research for power battery

Author

Zhiping Wang ; Jinchao Xu ; Tun Wang

Author_Institution

Guangdong Inst. of Autom., Guangzhou, China

fYear

2013

fDate

28-30 July 2013

Firstpage

89

Lastpage

92

Abstract

Due to the less awareness of the real-time operation condition and the low utilization rate of the power battery in the electric car, this paper proposes a novel design scheme of online monitoring system software for power battery. The system realizes the real-time remote monitoring battery status, fault diagnosis, data storage and estimates the state of charge (SOC) of the battery. The system using the back propagation neural network algorithm for estimating SOC, improving the accuracy of SOC estimate.

Keywords

backpropagation; condition monitoring; fault diagnosis; neural nets; power engineering computing; secondary cells; software engineering; SOC estimation algorithm; back propagation neural network algorithm; data storage; electric car; fault diagnosis; online monitoring system software design; power battery; real-time remote monitoring battery status; state of charge estimation; Batteries; Discharges (electric); Estimation; Monitoring; Neural networks; Real-time systems; System-on-chip; Neural network; On-line monitoring; SOC; power battery;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on

Conference_Location

Dongguan

Type

conf

DOI

10.1109/ICVES.2013.6619609

Filename

6619609