Title :
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
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;
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on
Conference_Location :
Dongguan
DOI :
10.1109/ICVES.2013.6619609
