In recent years, efforts and attention are gradually been shifted to the pollution-free renewable energy (fuel cell and lithium-ion battery), for propelling vehicles and for rural and urban electrification. With the advancement of these renewable energies, it is only necessary to continuously explore their behaviour, reliability, and safety. In this paper, the study will be focused on the reliability and safety of the components of the lithium-ion battery, by proposing a fixable model for the evaluation of their reliability and safety. The model proposed (Triangular Intuitionistic Fuzzy Aggregating and Ranking Function (TIFARF) model), is one that has been coined from the reliability-centered maintenance concept, which is aimed at probing into the reliability and safety of the components of the battery. It is proactive reliability and safety management approach and it is intended to determine what could happen when it is used in electric vehicles or aircraft. The results from the evaluation show that the electrolyte (ES₃), has the least reliability and the highest safety concerns according to the analysis and opinion represented by the invited experts. Hence the electrolyte (ES₃), should be given the most or top reliability and safety priority. The model has the advantage of been able to model imprecise information in the evaluation of the reliability and safety concerns associated with the lithium-ion battery.

近年来，人们的努力和注意力逐渐转移到无污染的可再生能源（燃料电池和锂离子电池），用于推进车辆以及用于农村和城市电气化的领域。随着这些可再生能源的发展，仅需要不断探索其性能，可靠性和安全性。在本文中，该研究将集中于锂离子电池组件的可靠性和安全性，通过提出一种可固定的模型来评估其可靠性和安全性。提出的模型（三角直觉模糊聚合和排序函数（TIFARF）模型）是从以可靠性为中心的维护概念中提出的，该模型旨在探究电池组件的可靠性和安全性。它是一种主动的可靠性和安全性管理方法，旨在确定将其用于电动汽车或飞机时会发生什么情况。评估结果表明，电解液（根据邀请专家代表的分析和意见，ES ₃）具有最低的可靠性和最高的安全隐患。因此，应优先考虑电解质（ES ₃）的可靠性或安全性。该模型的优点是能够在评估与锂离子电池相关的可靠性和安全性问题时对不精确的信息进行建模。