储能科学与技术 ›› 2017, Vol. 6 ›› Issue (3): 584-589.doi: 10.12028/j.issn.2095-4239.2016.0108

• 研究 • 上一篇    下一篇

商用Li4Ti5O12电池倍率循环容量衰减模型

王 昊1，俞海龙1，金 翼2，王绥军2，郭晓君3，肖修昆4，黄学杰1   

  1. 1中国科学院物理研究所，北京 100190；2中国电力科学研究院，北京 100085；3国家电网福建省电力有限公司电力科学研究院，福建 福州 350003；4欣旺达电子股份有限公司，广东 深圳 518108
  • 收稿日期:2016-12-20 修回日期:2017-02-27 出版日期:2017-05-01 发布日期:2017-05-01
  • 通讯作者: 金翼 E-mail:wanghaoe_mail@163.com
  • 作者简介:王昊（1990—），男，博士研究生，研究方向为锂离子电池正极材料及电池老化衰减分析，E-mail：wanghaoe_mail@163.com
  • 基金资助:
    锂离子储能电池快速评价实验技术研究 （DG71-14-033），广东省科技项目（2014B0101250032015B010118001）

A capacity fading model for a commercial Li4Ti5O12 battery

WANG Hao1, YU Hailong1, JIN Yi2, WANG Suijun2, GUO Xiaojun3, XIAO Xiukun4, HUANG Xuejie1   

  1. 1Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China; 2China Electric Power Research Institute, Beijing 100085, China; 3Electric Power Research Institute of State Grid Fujian Electric Power Company, Fuzhou 350003, Fujian, China; 4Sunwoda Electronic Co., Ltd., Shenzhen 518108, Guangdong, China
  • Received:2016-12-20 Revised:2017-02-27 Online:2017-05-01 Published:2017-05-01

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摘要： Li4Ti5O12（LTO）负极材料由于其优异的循环稳定性和安全性近年来得到广泛关注，并在电网储能领域具有巨大的应用前景，被视为下一代电网储能用负极材料。研究LTO电池的寿命模型有助于更好的设计能量存储单元，并推动LTO在储能领域中的应用。本文通过测试商用软包LTO基锂离子电池（标称容量10 A·h，额定电压2.2～3.5 V）在不同倍率下循环4800次的容量衰减，建立充放电倍率与容量衰减的对应关系。实验将每600次循环设为一个节点，通过在节点进行多电流密度标定从而实现分离电池的不可逆容量以及极化造成的容量损失。并利用试验数据, 采用拟合、回归的分析方法，分别建立极化容量损失和不可逆容量损失两个电池衰减模型，该模型可用于预测LTO基电池剩余循环容量。

关键词: 储能电池, 钛酸锂, 寿命模型, 倍率循环, 波伊克特公式

Abstract: Li4Ti5O12 (LTO)-based battery has been considered as next generate energy storage battery for grid applications due to its excellent rate cyclic properties and cycle life. But up to now there is no capacity fading model which is suitable for LTO-based battery has been reported. We tested commercial LTO battery (nominal capacity of 10 A·h, 2.2～3.2 V rating). The cells were tested at different rate for more than 4800 cycles, the irreversible capacity loss of battery was measured at 0.1 C to eliminate the polarization effect after each 600 cycles. The test data was then used to develop an empirical model by curve-fitting and regression techniques. It can be used to predict the rated capacity loss due to polarization and irrevisible capacity loss caused by loss of active lithium.

Key words: grid energy storage battery, Li4Ti5O12, capacity fading model, charge/discharge rate, Peukert equation.

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