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http://dx.doi.org/10.7471/ikeee.2020.24.1.333

Battery Cell SOC Estimation Using Neural Network  

Ryu, Kyung-Sang (Electric Power System Research Team, Korea Institute of Energy Research (KIER))
Kim, Ho-Chan (Dept. of Electrical Engineering, Jeju National University)
Publication Information
Journal of IKEEE / v.24, no.1, 2020 , pp. 333-338 More about this Journal
Abstract
This paper proposes a method of estimating the SOC(State of Charge) of a battery cell using a neural network algorithm. To this, we implement a battery SOC estimation simulator and derive input and output data for neural network learning through charge and discharge experiments at various temperatures. Finally, the performance of the battery SOC estimation is analyzed by comparing with the experimental value by Ah-counting using Matlab/Simulink program and confirmed that the error rate can be reduced to less than 3%.
Keywords
Lithium-ion battery; SOC estimation; Ah-counting; Neural network; Test station;
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