IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Battery State-of-Charge Estimation Algorithm Using Dynamic Terminal Voltage Measurement

  • Lee, Su-Hyeok (Department of Computer Science, Kwangwoon University) ;
  • Lee, Seong-Won (Department of Computer Science, Kwangwoon University)
  • Received : 2014.11.20
  • Accepted : 2015.02.12
  • Published : 2015.04.30
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Abstract

When a battery is discharging, the battery's current and terminal voltage must both be measured to estimate its state of charge (SOC). If the SOC can be estimated by using only the current or voltage, hardware costs will decrease. This paper proposes an SOC estimation algorithm that needs to measure only the terminal voltage while a battery is discharging. The battery's SOC can be deduced from its open circuit voltage (OCV) through the relationship between SOC and OCV. But when the battery is discharging, it is not possible to measure the OCV due to the voltage drop in the battery's internal resistance (IRdrop). The proposed algorithm calculates OCV by estimating IRdrop using a dynamic terminal voltage measurement. This paper confirms the results of applying the algorithm in a hardware environment via algorithm binarization. To evaluate the algorithm, a Simulink battery model based on actual values was used.

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References

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