The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
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Due to the Difference in Uniformity of Electrical Characteristics between Cells in a Battery Pack SOC Estimation Performance Comparative Analysis

배터리팩 내 셀 간 전기적 특성 균일도 차이에 의한 SOC 추정성능 비교분석

  • Received : 2018.01.31
  • Accepted : 2018.06.07
  • Published : 2019.02.20
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Abstract

The performance of the battery management system (BMS) algorithm is important for ensuring the stability and efficient operation of battery packs. Such a performance is determined by the internal parameters of the electrical equivalent circuit model (EECM). This study proposes a performance improvement and verification of battery parameters for the BMS algorithm using electrical experiments and tools. The parameters were extracted through electrical characteristic experiments, and an EECM based on Ah counting was designed. Simulation results using the EECM were compared with actual experimental data to determine the best parameter extraction method.

Keywords

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Fig. 1. Battery type performance comparing[1].

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Fig. 2. Simplified equivalent circuit model.

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Fig. 3. OCV measurement method.

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Fig. 5. IR drop curve.

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Fig. 9. Capacity test profile

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Fig. 13. Matlab curve fitting at rest period.

TABLE I BATTERY PARAMETER

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Fig. 15. Capacity/votage curve.

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Fig. 16. SOC/OCV curve.

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Fig. 17. Battery pack internal cell OCV unbalance.

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Fig. 19. Single cell parameter simulation.

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Fig. 20. Battery pack parameter simulation.

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Fig. 21. Single cell parameter simulation error.

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Fig. 24. Cycling test according to DOD[5].

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Fig. 4. SOC-OCV relationship.

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Fig. 6. Charge transfer curve.

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Fig. 7. Single cell experiment equipment.

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Fig. 8. Battery pack experiment equipment.

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Fig. 10. Simplified equivalent circuit model.

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Fig. 11. 18650 29E battery equivalent circuit model.

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Fig. 12. Internal parameter estimation method.

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Fig. 14. Battery parameter verification.

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Fig. 18. SOC/DCIR curve.

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Fig. 22. Battery pack parameter simulation error.

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Fig. 23. Single cell and battery pack SOC estimation.

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