Accelerated Life Testing and Life Assessment Modelling for Cycle Life Prediction of Li-ion Battery Module

• Main Authors: Che-Kai Chen, 陳哲鍇
• Other Authors: Hsien-Sen Hung
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/59145585555700782493

碩士 === 國立臺灣海洋大學 === 電機工程學系 === 101 === The thesis applies the accelerated life test to explore how charging voltage and ambient temperature have impact on the cycle life of Li-ion battery module for being able to conduct reliability analysis in a shortened period of time and a cost-saving way. The proposed accelerated life test is conducted in three steps. In step , failure times of one hundred battery modules are measured under five test conditions of different charging voltages and ambient temperatures. In step , we perform reliability analysis and estimate the characteristic life parameter of the Weibull distribution using the obtained data set of failure times in each test condition. In step , on the basis of the Eyring model, we propose a life assessment model that utilizes the estimated values of characteristic life. The proposed life assessment model can be used to predict the characteristic life (expected cyclic life) of each battery module in various conditions of charging voltage and ambient temperature. Besides, the life assessment model can also be used to find a feasible way to improve the expected cyclic life of battery module.