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Estimation of Failure Probability of Smartphone's Battery Using Monte Carlo Simulation

机译：蒙特卡罗模拟估算智能手机电池的失效概率

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Battery is major component of smartphone, but only selected samples are periodically examined due to numerous numbers of batteries. The Consumers are generally required the use of high energy density batteries. However, most consumers are often dissatisfied with the battery life from even the most advanced lithium-ion rechargeable batteries in mobile phone. If cracks are not detected, such a cracking mechanism could lead to unstable rupture of the battery. Up to this time, integrity evaluations are performed using conventional deterministic approaches. So it is expected that the results obtained are too conservative to perform a rational evaluation of lifetime. In this respect, a probabilistic safety assessment method is more appropriate for the assessment of overall battery safety. This paper describes failure probability estimation of the battery using fuzzy knowledge processing. Failure assessment diagram (FAD) of battery material is proposed and applied in the probabilistic analysis.
机译：电池是智能手机的主要组成部分，但由于许多电池，仅定期检查所选样品。消费者通常需要使用高能密度电池。然而，大多数消费者通常对手机中最先进的锂离子可充电电池的电池寿命不满意。如果未检测到裂缝，则这种裂缝机构可能导致电池的不稳定破裂。到目前为止，使用传统的确定方法进行完整性评估。因此，预计获得的结果过于保守，无法对寿命进行合理的评估。在这方面，概率安全评估方法更适合对整体电池安全的评估。本文描述了使用模糊知识处理的电池的失效概率估计。提出了电池材料的故障评估图（FAD）并应用了概率分析。

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