2022
DOI: 10.1109/tte.2021.3105516
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A Multilayer Framework for Reliability Assessment of Shore-to-Ship Fast Charging System Design

Abstract: In this paper, a multi-layer framework is proposed to assess the reliability of Shore-to-Ship Charging (S2SC) systems, considering the potential for failures of the main elements, such as power converters and batteries. The proposed reliability model enables evaluating a S2SC system with redundancy, multi-state system availability, and multi-variable design scenarios, based on a recursive algorithm. Instead of conventional Markov-chain multi-state models, a reduced order state-space model is established from a… Show more

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Cited by 9 publications
(12 citation statements)
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“…Note that the dormant phases are also considered in this method. In order to obtain the temperature profile required to calculate these acceleration factors, the electrothermal models of the parts, as described in [13], are used. The detailed failure rate models can be found in [19].…”
Section: B Partmentioning
confidence: 99%
See 3 more Smart Citations
“…Note that the dormant phases are also considered in this method. In order to obtain the temperature profile required to calculate these acceleration factors, the electrothermal models of the parts, as described in [13], are used. The detailed failure rate models can be found in [19].…”
Section: B Partmentioning
confidence: 99%
“…As discussed in [7], such reliability indices can be redefined To better capture the specific behaviors of an S2SC system. Suitable indicators can, for instance, be associated with the probability of accomplishing the charging missions such that the vessel can operate with its OBB recharged according to the schedule [13].…”
Section: Introductionmentioning
confidence: 99%
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“…To quantify the dependency of the results to the applied parameters, a sensitivity analysis of the calculated energy efficiency in terms of selected parameters is carried out. The proposed framework is also applicable as part of a comprehensive objective function for optimization of S2SC systems by integrating other influencing factors in the design phase, for example, reliability [27], cost, and quay space.…”
Section: Introductionmentioning
confidence: 99%