DOI QR코드

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배터리 모델 파라미터의 온라인 업데이트 기술 복잡도와 추정 정확도 비교 및 분석

A Comparative Analysis of Online Update Techniques for Battery Model Parameters Considering Complexity and Estimation Accuracy

  • Han, Hae-Chan (Dept. of Electrical and Computer Eng., Sungkyunkwan Univ.) ;
  • Noh, Tae-Won (Dept. of Electrical and Computer Eng., Sungkyunkwan Univ.) ;
  • Lee, Byoung-Kuk (Dept. of Electrical and Computer Eng., Sungkyunkwan Univ.)
  • 투고 : 2018.09.30
  • 심사 : 2018.12.10
  • 발행 : 2019.08.20

초록

This study compares and analyzes online update techniques, which estimate the parameters of battery equivalent circuit models in real time. Online update techniques, which are based on extended Kalman filter and recursive least square methods, are constructed by considering the dynamic characteristics of batteries. The performance of the online update techniques is verified by simulation and experiments. Each online update technique is compared and analyzed in terms of complexity and accuracy to propose a suitable guide for selecting algorithms on various types of battery applications.

키워드

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Fig. 1. Inaccuracy of terminal voltage according to temperature variation.

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Fig. 2. First-order RC-ladder model of battery equivalent circuit.

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Fig. 4. Lookup table of parameters according to the room(25℃) and low(-20℃) temperatures.

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Fig. 5. Comparison of online update algorithms.

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Fig. 6. Experimental set up for verification.

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Fig. 7. Battery equivalent circuit model parameters estimated by EKF and RLS on simulation.

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Fig. 8. Results of terminal voltage by NEDC profile at room temperature(25℃).

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Fig. 9. Results of terminal voltage by NEDC profile at low temperature(-20℃).

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Fig. 10. Complexity comparison by MATLAB static code analysis.

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Fig. 3. Current profile for parameters identification.

TABLE I SPECIFICATIONS OF BATTERY CELLS

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TABLE II ESTIMATION ERROR AND COMPLEXITY OF ONLINE UPDATE TECHNIQUES

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참고문헌

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