摘要
针对影响电池老化的五种主要应力提出了二次多项式老化模型,采用二次回归正交实验法设计了28组老化实验拟合模型中的参数,并进行了四组验证实验证实了模型的适用性。采用最佳子集回归法进一步筛选影响电池老化速率的主要应力,提出了Arrhenius形式的老化经验模型,利用二次回归实验设计中的数据拟合出模型的参数,并验证了模型的适用性。
A second order polynomial aging model was proposed to describe the relation between cell aging rate and five main factors. Quadratic regression orthogonal design of experiments with 28 groups of tests was applied to fit the parameters in the model. The applicability of the model was validated using four additional experiments. An empirical model in the form of Arrhenius was put forward after further screening of the factors. The parameters were fitted and the applicability of the model was validated by the data from the quadratic regression experiments.
出处
《电源技术》
CAS
CSCD
北大核心
2018年第1期32-36,共5页
Chinese Journal of Power Sources
基金
国家自然科学基金(NSFC51577104)
国家质检总局科技计划项目(2014IK202)
清华大学汽车安全与节能国家重点实验室开放基金(KF14041)
博士后面上基金(2014M560079)
关键词
多应力
锂离子电池
老化模型
二次回归正交实验法
multiple factors
Li-ion battery
aging model
quadratic regression orthogonal design