인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Purpose: This study proposes an optimal accelerated degradation test (ADT) plan based on a nonlinear Wiener process. The optimal ADT plan is devised using a simulation-based method that permits the effective determination of optimal ADT conditions and applied to nonlinear degradation data of lithium-ion battery pack.
Methods: An optimal ADT design approach based on simulated ADT data is reported herein. First, maximum likelihood estimates (MLEs) of the nonlinear Wiener process degradation model with random effects were derived, then a Monte Carlo simulation was performed to generate lifetime data based on the MLEs. Using the general optimization procedure for accelerated life test (ALT), the optimal stress levels and sample allocation ratios were determined to minimize the asymptotic variance of the lifetime distribution.
Results: The proposed approach was applied to real battery pack data for electric vehicles (EVs). Subsequently, the optimal sample allocation ratios at both maximum and minimum stresses were determined.
Conclusion: The proposed simulation-based ADT plan is particularly effective when deriving the Fisher information matrix for the parameters, which is a challenging task given the complexity of the degradation model or when lifetime distributions are difficult to derive.
Methods: An optimal ADT design approach based on simulated ADT data is reported herein. First, maximum likelihood estimates (MLEs) of the nonlinear Wiener process degradation model with random effects were derived, then a Monte Carlo simulation was performed to generate lifetime data based on the MLEs. Using the general optimization procedure for accelerated life test (ALT), the optimal stress levels and sample allocation ratios were determined to minimize the asymptotic variance of the lifetime distribution.
Results: The proposed approach was applied to real battery pack data for electric vehicles (EVs). Subsequently, the optimal sample allocation ratios at both maximum and minimum stresses were determined.
Conclusion: The proposed simulation-based ADT plan is particularly effective when deriving the Fisher information matrix for the parameters, which is a challenging task given the complexity of the degradation model or when lifetime distributions are difficult to derive.
본문·목차
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