Skip to content
naulon
Not checkedNot checked for notices yet.

一种新型大规模梯次利用电池组建模仿真方法

董喜乐, 张彩萍, 姜久春

全球能源互联网 · 2018

doi:10.19705/j.cnki.issn2096-5125.2018.03.009 (opens in a new tab)

We email you when a new notice or a question about this paper appears.

Abstract

针对大规模梯次利用电池组建模过程中电池参数获取难的问题,在锂离子电池Thevenin模型的基础上,利用递推最小二乘法在线对电池参数进行辨识。搭建串联锂离子电池组组合模型和整体模型,验证了在动态应力测试工况下在线参数辨识的准确性,组合模型端电压仿真精度在0.5%以内,整体模型的端电压仿真精度在0.2%以内。结合储能电池典型工况,利用整体模型,在恒流下添加白噪声作为激励,验证了在线辨识参数的可行性,其相对误差在0.8%以内。为大规模梯次利用电池组的建模仿真提供了研究基础。

Abstract licence: CC BY-NC-ND

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.