Detection of Degraded/Aged Cell in a Li-ion Battery Pack using Spread Spectrum Time Domain Reflectometry (SSTDR)

被引:0
|
作者
Roy, Sourov [1 ]
Khan, Faisal [1 ]
机构
[1] Univ Missouri, Sch Comp & Engn, Kansas City, MO 64110 USA
来源
2020 THIRTY-FIFTH ANNUAL IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION (APEC 2020) | 2020年
关键词
Lithium-ion (Li-ion) battery; cell level degradation; state of health (SOH); series-parallel battery string; BMS; reflectometry; spread spectrum time domain reflectometry (SSTDR); HEALTH; STATE; CHARGE;
D O I
10.1109/apec39645.2020.9124341
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a cell-level state of health (SOH) measurement technique based on spread spectrum time domain reflectometry (SSTDR). This arrangement can identify the location and amount of aging associated to the degraded cell in a large battery pack. Variations in SOH of the lithium-ion (Li-ion) cells in a series-parallel connected battery pack is unavoidable because of the manufacturing tolerances and non-uniform operating conditions. As a result, uneven SOH in series-parallel connected cells can lead to affect the performance of the entire battery pack. Therefore, cell level SOH along with the respective cell location is a crucial metric for the battery management system (BMS) to predict the remaining useful life of the entire battery pack. Today's BMS considers the SOH of the entire battery pack/cell string as a single SOH and therefore, cannot monitor the SOH at the cell level. A healthy battery string has a specific impedance between the two terminals, and any aged cell in that string will change the impedance value. Since SSTDR can characterize the impedance change in its propagation path along with its location, it can successfully locate the degraded cell in a large battery pack.
引用
收藏
页码:1483 / 1488
页数:6
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