Evidence map›Paper›PMID 38698088›Full record

ArticleScientific reports2024

Addressing practical challenges of LiB cells in their pack applications.

Cher Ming Tan, Yan Yang, K Jithendra Mani Kumar, Debesh Devadutta Mishra, Tsung-Yu Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cher Ming TanCenter for Reliability Sciences and Technologies, Chang Gung University, Taoyuan, 333, Taiwan. cmtan@cgu.edu.tw.
Yan YangGrace Connection Microelectronics Limited, Taoyuan, Taiwan.
K Jithendra Mani KumarCenter for Reliability Sciences and Technologies, Chang Gung University, Taoyuan, 333, Taiwan.
Debesh Devadutta MishraCenter for Reliability Sciences and Technologies, Chang Gung University, Taoyuan, 333, Taiwan.
Tsung-Yu LiuCenter for Reliability Sciences and Technologies, Chang Gung University, Taoyuan, 333, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a battery pack, several lithium-ion batteries (LiBs) are connected in series and parallel so that sufficient voltage, current and power can be provided for applications. To ensure safe operation, when one of the LiB cells in a pack has its SoH below 80%, the entire pack will have to be discarded. Thus, ensuring all the LiB cells degrade similarly in a pack is crucial to maximize the potential of all the cells in a pack. There are several methods to perform screening on the LiB cells for such purpose, but there exist many practical challenges for estimating and predicting the degradation rate of the cells before they are chosen to be put in a pack which will be described in this work. This work provides solutions to some of these challenges and shows through experiments that one can screen the weak cells from production batch with just the first discharge cycle, and one can also predict the statistical distribution of the degradation rates of LiB cells in a production batch. On-line in-situ determination of the SoH of each cell connected in a pack is also made possible with a solution presented in this work, and this method is verified over many different types of LiB from various manufacturers.

Indexed as

DC-IRElectrode coefficient of polarizationMaximum charge storage capacityOn-line SoH determinationSoC (state of charge)SoH (state of health) degradation

Identifiers

PMID38698088
PMCPMC11066021

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.