[Summary]

1. params 중에는 fixed params, dynamic params가 있음
   1. 15개의 dynamic params는 aging에 따라 변함
2. 15개의 params에 대해 GA 알고리즘으로 파라미터 최적화
3. 15개의 params 중에 battery degradation diagnosis하는 파라미터 선택
   1. 3가지 수렴 조건 , CI (Confidence Interval) 사용
4. 결과 : degradation diagnosis 파라미터
   1. cathode particle surface area
   2. porosity
   3. stoichiometry limits

+) 일반화를 위해 3개의 profile에서 실행

Effective and practical parameters of electrochemical Li-ion battery models for degradation diagnosis 🔗

• Journal : Energy Storage’ 21 (IF 8.9)
• 32 citations

1. Problem Statement

• SOH(State of Health) is not enough for diagnosis of the battery’s internal state
  • SOH is defined using capacity, internal resistance (the ratio of the present capacity to initial one / the present equivalent series resistance)
  • Capacity, internal resistance are insufficient to describe the current state of battery
• This paper proposes a practical method for identifying and selecting effective P2D model parameters that change significantly as a battery ages

⇒ Main theme : Identify more effective indicator(params) for accurate degradation diagnosis