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A Review on Electrochemical Model for Predicting the Performance of Lithium Secondary Battery

리튬이차전지 성능 모사를 위한 전기화학적 모델링

  • Yang, Seungwon (College of Transdisciplinary Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Kim, Nayeon (College of Transdisciplinary Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Kim, Eunsae (College of Transdisciplinary Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Lim, Minhong (College of Transdisciplinary Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Park, Joonam (Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Song, Jihun (Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Park, Sunho (Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Appiah, Williams Agyei (Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST)) ;
  • Ryou, Myung-Hyun (Department of Chemical and Biological Engineering, Hanbat National University) ;
  • Lee, Yong Min (Department of Energy Science and Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST))
  • 양승원 (대구경북과학기술원기초학부) ;
  • 김나연 (대구경북과학기술원기초학부) ;
  • 김은새 (대구경북과학기술원기초학부) ;
  • 임민홍 (대구경북과학기술원기초학부) ;
  • 박주남 (대구경북과학기술원에너지공학전공) ;
  • 송지훈 (대구경북과학기술원에너지공학전공) ;
  • 박선호 (대구경북과학기술원에너지공학전공) ;
  • ;
  • 유명현 (한밭대학교화학생명공학과) ;
  • 이용민 (대구경북과학기술원에너지공학전공)
  • Received : 2019.02.08
  • Accepted : 2019.02.16
  • Published : 2019.02.28

Abstract

As the application area of lithium secondary batteries becomes wider, performance characterization becomes difficult as well as diverse. To address this issue, battery manufacturers have to evaluate many batteries for a longer period, recruit many researchers and continuously introduce expensive equipment. Simulation techniques based on battery modeling are being introduced to solve such difficulties. Various lithium secondary battery modeling techniques have been reported so far and optimal techniques have been selected and utilized according to their purpose. In this review, the electrochemical modeling based on the Newman model is described in detail. Particularly, we will explain the physical meaning of each equation included in the model; the Butler-Volmer equation, which represents the rate of electrode reaction, the material and charge balance equations for each phase (solid and liquid), and the energy balance. Moreover, simple modeling processes and results based on COMSOL Multiphysics 5.3a will be provided and discussed.

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Fig. 1. Scale-specific modeling approach in lithium secondary battery system

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Fig. 3. The molar flux at the solid surface due to migration.

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Fig. 4. Change of Li-ion concentration in electrolyte over time.

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Fig. 5. Change of Li-ion concentration in electrode active material over time.

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Fig. 6. Overpotential change in the electrolyte with time and distance.

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Fig. 7. Potential change in the electrode with time and distance between anode and cathode.

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Fig. 8. Flow chart of electrochemical modeling.

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Fig. 2. (a) Overpotential – Current density graph with symmetry factor change, (b) Overpotential – Current density graph with change of equilibrium exchange current density.

Acknowledgement

Supported by : Daegu Gyeongbuk Institute of Science & Technology (DGIST)

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