Hybrid neural networks architectures for SOC and voltage prediction of new generation batteries storage
- 1 June 2011
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2011 International Conference on Clean Electrical Power (ICCEP)
Abstract
This paper presents some experiences and results obtained about the problem of the SOC and voltage prediction and simulation of new generation batteries. A complex pipelined recurrent neural network (PRNN) was designed for modeling of new generation batteries storage in order to predict the SOC and the terminal voltage. The simulation results are compared with experimental data obtained on commercial batteries.Keywords
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