期刊
IEEE CONTROL SYSTEMS LETTERS
卷 7, 期 -, 页码 961-966出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCSYS.2022.3229070
关键词
Li-ion battery pack; SOC estimation; reduced sensing; descriptor systems; functional observers
This letter investigates cell-level state of charge (SOC) estimation in a parallel connected lithium-ion (Li-ion) battery pack under a reduced sensing scenario. The dynamics of parallel connected battery packs require solving differential algebraic equations (DAEs). A novel functional observer, designed under milder conditions, is proposed for estimating individual cell SOCs and local currents in a battery pack. The simulation results demonstrate the fast convergence and effectiveness of the proposed approach in estimating the SOC of two cylindrical Li-ion battery cells.
This letter investigates cell-level state of charge (SOC) estimation in a parallel connected lithium-ion (Li-ion) battery pack under a reduced sensing scenario. The internal states of individual cells within a battery pack are likely to differ due to cell inconsistencies caused by manufacturing tolerances and usage conditions. This creates a need for cell-level estimation in a parallel connected battery pack. The dynamics of parallel connected battery packs require solving differential algebraic equations (DAEs). This letter considers the reduced sensing scenario, measuring only the total current and voltage for estimating individual cell SOCs and local currents in a battery pack. A novel functional observer, designed under milder conditions, is proposed and the observer design is formulated in terms of a feasible linear matrix inequality (LMI) problem. In the simulation, the SOC of two cylindrical Li-ion battery cells are estimated, and the results illustrate a fast convergence and hence the effectiveness of our approach.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据