arXiv subjects

Wen-Bin Chen

Publications and source records attributed to Wen-Bin Chen.

2 recordsLinked to original sources

arXiv2026

Reliability Modeling of Single-Sided Aluminized Polyimide Films during Storage Considering Stress-Induced Degradation Mechanism Transition

Single-sided aluminized polyimide films (SAPF) are widely used in thermal management of aerospace systems. Although the reliability of SAPF in space environments has been thoroughly studied, its reliability in ground environments during storage is always ignored, potentially leading to system failure. This paper aims to investigate the reliability of SAPF in storage environments, focusing on the effects of temperature and relative humidity. Firstly, the relationship between the performance degradation of SAPF and aluminum corrosion is identified. Next, considering the presence of two distinct stages in the influence of temperature on aluminum corrosion, a novel degradation model accounting for the degradation mechanism transition is developed. Additionally, a parameter analysis method is proposed for determining SAPF degradation mechanism based on experimental data. Then, a statistical analysis method incorporating an improved rime optimization algorithm is employed for parameter estimation, and the reliability model is established. Experimental results demonstrate that the proposed method effectively identifies two distinct stages in the impact of temperature on SAPF performance degradation. Furthermore, the proposed degradation model outperforms traditional degradation models with unchanged degradation mechanism in terms of degradation prediction accuracy, extrapolation capability and robustness, indicating its suitability for describing the degradation pattern of SAPFs.

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arXiv2025

TERIME: An improved RIME algorithm with enhanced exploration and exploitation for robust parameter extraction of photovoltaic models

Parameter extraction of photovoltaic (PV) models is crucial for the planning, optimization, and control of PV systems. Although some methods using meta-heuristic algorithms have been proposed to determine these parameters, the robustness of solutions obtained by these methods faces great challenges when the complexity of the PV model increases. The unstable results will affect the reliable operation and maintenance strategies of PV systems. In response to this challenge, an improved rime optimization algorithm with enhanced exploration and exploitation, termed TERIME, is proposed for robust and accurate parameter identification for various PV models. Specifically, the differential evolution mutation operator is integrated in the exploration phase to enhance the population diversity. Meanwhile, a new exploitation strategy incorporating randomization and neighborhood strategies simultaneously is developed to maintain the balance of exploitation width and depth. The TERIME algorithm is applied to estimate the optimal parameters of the single diode model, double diode model, and triple diode model combined with the Lambert-W function for three PV cell and module types including RTC France, Photo Watt-PWP 201 and S75. According to the statistical analysis in 100 runs, the proposed algorithm achieves more accurate and robust parameter estimations than other techniques to various PV models in varying environmental conditions. All of our source codes are publicly available at https://github.com/dirge1/TERIME.

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