Researches on modeling methods of battery capacity decline based on cell voltage inconsistency and probability statistics

Xin Jin; Jun Qiu Li; Puen Wu; Xiaopeng Zhang

doi:10.1016/j.egypro.2016.06.096

Researches on modeling methods of battery capacity decline based on cell voltage inconsistency and probability statistics

Xin Jin, Jun Qiu Li^*, Puen Wu, Xiaopeng Zhang

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Citations (Scopus)

Abstract

CVI inside battery is correlated with CCDI caused by uneven temperature or improper charge/discharge rate, so CVI can be used to reflect CCDI which is important when establishing a model of battery capacity decline. An accelerated-life experiment is conducted on a 12-series LiMn2O4 battery. Factors influencing the capacity decline are acquired, and CVI is analyzed, and a capacity decline model of this 12-series battery is established based on CVI, which is extended to any-series battery by means of probability statistics. From this model, it is clear to see how capacity decline vary with cell number in series-connection in the battery.

Original language	English
Pages (from-to)	668-674
Number of pages	7
Journal	Energy Procedia
Volume	88
DOIs	https://doi.org/10.1016/j.egypro.2016.06.096
Publication status	Published - 1 Jun 2016
Event	Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 - Fuzhou, China Duration: 15 Nov 2015 → 17 Nov 2015

Keywords

CVI
LiMn2O4 battery
Model of capacity decline
Probability statistics

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10.1016/j.egypro.2016.06.096

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title = "Researches on modeling methods of battery capacity decline based on cell voltage inconsistency and probability statistics",

abstract = "CVI inside battery is correlated with CCDI caused by uneven temperature or improper charge/discharge rate, so CVI can be used to reflect CCDI which is important when establishing a model of battery capacity decline. An accelerated-life experiment is conducted on a 12-series LiMn2O4 battery. Factors influencing the capacity decline are acquired, and CVI is analyzed, and a capacity decline model of this 12-series battery is established based on CVI, which is extended to any-series battery by means of probability statistics. From this model, it is clear to see how capacity decline vary with cell number in series-connection in the battery.",

keywords = "CVI, LiMn2O4 battery, Model of capacity decline, Probability statistics",

author = "Xin Jin and Li, {Jun Qiu} and Puen Wu and Xiaopeng Zhang",

note = "Publisher Copyright: {\textcopyright} 2016 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.; Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015 ; Conference date: 15-11-2015 Through 17-11-2015",

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doi = "10.1016/j.egypro.2016.06.096",

language = "English",

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pages = "668--674",

journal = "Energy Procedia",

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TY - JOUR

T1 - Researches on modeling methods of battery capacity decline based on cell voltage inconsistency and probability statistics

AU - Jin, Xin

AU - Li, Jun Qiu

AU - Wu, Puen

AU - Zhang, Xiaopeng

PY - 2016/6/1

Y1 - 2016/6/1

N2 - CVI inside battery is correlated with CCDI caused by uneven temperature or improper charge/discharge rate, so CVI can be used to reflect CCDI which is important when establishing a model of battery capacity decline. An accelerated-life experiment is conducted on a 12-series LiMn2O4 battery. Factors influencing the capacity decline are acquired, and CVI is analyzed, and a capacity decline model of this 12-series battery is established based on CVI, which is extended to any-series battery by means of probability statistics. From this model, it is clear to see how capacity decline vary with cell number in series-connection in the battery.

AB - CVI inside battery is correlated with CCDI caused by uneven temperature or improper charge/discharge rate, so CVI can be used to reflect CCDI which is important when establishing a model of battery capacity decline. An accelerated-life experiment is conducted on a 12-series LiMn2O4 battery. Factors influencing the capacity decline are acquired, and CVI is analyzed, and a capacity decline model of this 12-series battery is established based on CVI, which is extended to any-series battery by means of probability statistics. From this model, it is clear to see how capacity decline vary with cell number in series-connection in the battery.

KW - CVI

KW - LiMn2O4 battery

KW - Model of capacity decline

KW - Probability statistics

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U2 - 10.1016/j.egypro.2016.06.096

DO - 10.1016/j.egypro.2016.06.096

M3 - Conference article

AN - SCOPUS:85007621913

SN - 1876-6102

VL - 88

SP - 668

EP - 674

JO - Energy Procedia

JF - Energy Procedia

T2 - Applied Energy Symposium and Summit on Low-Carbon Cities and Urban Energy Systems, CUE 2015

Y2 - 15 November 2015 through 17 November 2015

ER -

Researches on modeling methods of battery capacity decline based on cell voltage inconsistency and probability statistics

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Keywords

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