Application of bivariate degradation analysis for prediction of remaining capacity of Lithium ion secondary battery

2016 Fiscal Year Final Research Report

• Project/Area Number: 26350472
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: The University of Electro-Communications (2016); 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校(能力開発院、基盤整備センター) (2014-2015)
• Principal Investigator: Yokogawa Shinji 電気通信大学, i－パワードエネルギー・システム研究センター, 准教授 (40718532)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: リチウムイオン二次電池 / 劣化予測 / 故障解析 / 充放電劣化 / 待機劣化 / 線形混合効果モデル

Outline of Final Research Achievements

A prediction model for capacity degradation of Lithium-ion secondary battery (LiB) under practical use conditions was developed based on two degradation mechanisms, which are cycle stress and calendar stress, and their interaction.
Multiple physical and chemical reactions in the LiBs that contribute to the capacity degradation were observed with the experiment. By modeling the capacity degradation with the power law as the fixed effects and modeling the individual variations as the random effects, the linear mixed effect model can be applied to the prediction obtaining a highly accurate prediction.
Proposed model can give the highly accurate predictions corresponding to changes in use conditions under long-term usages.

Free Research Field

エネルギー貯蔵・制御、機器の寿命予測、故障物理、品質管理、信頼性工学