Battery Cell SOC Estimation Using Neural Network

뉴럴 네트워크를 이용한 배터리 셀 SOC 추정

  • Ryu, Kyung-Sang (Electric Power System Research Team, Korea Institute of Energy Research (KIER)) ;
  • Kim, Ho-Chan (Dept. of Electrical Engineering, Jeju National University)
  • Received : 2020.03.12
  • Accepted : 2020.03.20
  • Published : 2020.03.31


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%.


Supported by : Korea Institute of Energy Technology Evaluation and Planning (KETEP)


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