摘要
退役动力电池的梯次利用不仅可降低电池的使用成本,还可缓解回收退役电池的环境污染压力。为了定量确定动力电池退役点,本文提出了一种基于生命周期分析(LCA)定量分析方法。将动力电池梯次利用的生命周期划分为生产、作动力电池、重组、作储能电池和回收利用5个阶段,将电池的容量衰退与生命周期分析模型结合,在不同的二次应用场景下分析了电池的碳排放量随动力电池退役时的健康状态(SOH)变化情况,研究了退役点选择对电池寿命和环境的影响。研究表明,动力电池在SOH为85%~90%时退役可达到较小的碳排放量。在固定二次应用场景下,电池操作的放电深度(DOD)越小,则电池寿命越长,且碳排放量变化很小。研究为动力电池退役点的确定提供了定量分析方法,可为动力电池梯次利用提供指导。
Reusing the retired batteries in stationary applications can not only reduce the cost of batteries for electric vehicles(EV) but also ease the environment pollution pressure. To quantitatively determine the retiring point of batteries for the EV, a quantitative method based on the Life Cycle Assessment(LCA) was proposed in this paper. The life cycle of the reused battery was divided into 5 processes, including manufacturing, using in EV, re-manufacturing, reusing in stationary applications,and recycling phases. The LCA model was combined with the capacity degradation model and the changes in battery’s carbon emission as the state of health(SOH) of retiring point changed under different second-use scenarios. The study showed that when the SOH of 85%-90% was adopted, a lower carbon emission of battery in its whole life could be achieved. In addition, for a given stationary application scenario, the battery’s life was lengthened and the carbon emissions changed slightly as the depth of discharge(DOD) decreases. This paper is expected to provide a quantitative analysis method for determining the retiring point of batteries for EV.
作者
王韬翔
康丽霞
刘永忠
WANG Taoxiang;KANG Lixia;LIU Yongzhong(Department of Chemical Engineering,Xi’an Jiaotong University,Xi’an 710049,Shaanxi,China;Key Laboratory ofThermo-Fluid Science and Engineering,Ministry of Education,Xi’an 710049,Shaanxi,China)
出处
《化工进展》
EI
CAS
CSCD
北大核心
2019年第5期2197-2204,共8页
Chemical Industry and Engineering Progress
基金
国家自然科学基金(21676211
21878240和21808179)
中国博士后基金(2018M633518)
中央高校基本业务费项目(xjj2018031)
关键词
锂离子电池
梯次利用
退役电池
容量衰退
生命周期评价
模型
优化
环境
lithium-ion battery
second-use
retired battery
capacity degradation
life cycle assessment
model
optimization
environment