Analysis of Cell-to-Cell Variation in a Battery Pack after Long Service Life Using Parameter Identification

被引：2

作者：

Scholz, Tobias ^{[1
]}

Kremzow-Tennie, Simeon ^{[1
]}

Pautzke, Friedbert ^{[1
]}

Fechtner, Heiko ^{[2
]}

Popp, Alexander ^{[2
]}

Schmuelling, Benedikt ^{[2
]}

机构：

[1] Bochum Univ Appl Sci, Elect Vehicle Inst, Bochum, Germany

[2] Univ Wuppertal, Chair Elect Mobil & Energy Storage Syst, Wuppertal, Germany

来源：

2021 IEEE THE 4TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY APPLICATIONS (ICPEA 2021) | 2021年

关键词：

estimation and identification methods; energy storage systems; cell-to-cell variation; real world drive cycle; battery aging; parameter identification; LITHIUM-ION BATTERIES; CAPACITY; VOLTAGE; STATE; POWER; FADE;

D O I：

10.1109/ICPEA52760.2021.9639370

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The characterization and monitoring of lithium-ion battery systems during their service life in electric or hybrid-electric powered vehicles is relevant from a safety perspective, but also for the purpose of further use or repatriation to the value chain. The condition estimation based on parameter identification of battery systems during usage offers insights to make decisions regarding to further use, recycling, but also maintenance. Due to variable environmental influences and load profiles, the cell behaviour can change over the service life. Accordingly, this paper presents a method which approximates the open-circuit voltage (OCV) based on rest phases recorded in real world drive cycles. By analysing identified cell voltage differences and therefore capacity differences, the method functions as an indicator for inhomogeneous aging behaviour in a battery pack. Hence, it is intended to provide information about the condition of the battery before it reaches the end of its service life without additional testing and thus about its potential for further use.

引用

页码：38 / 42

页数：5

共 29 条

[1]

Baronti F, 2015, IEEE IMTC P, P1711, DOI 10.1109/I2MTC.2015.7151538

[2]

Baumann M, 2018, 2018 THIRTEENTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER)

[3] Production caused variation in capacity aging trend and correlation to initial cell performance [J].

Baumhoefer, Thorsten ;

Bruehl, Manuel ;

Rothgang, Susanne ;

Sauer, Dirk Uwe .

JOURNAL OF POWER SOURCES, 2014, 247 :332-338

[4] Differential voltage analyses of high-power, lithium-ion cells 1. Technique and application [J].

Bloom, I ;

Jansen, AN ;

Abraham, DP ;

Knuth, J ;

Jones, SA ;

Battaglia, VS ;

Henriksen, GL .

JOURNAL OF POWER SOURCES, 2005, 139 (1-2) :295-303

[5]

Bruhl M, 2017, THESIS U LUXEMBOURG

[6]

Buss K., 2015, ENTSCHEIDUNG ENBEIM, P317

[7] State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering [J].

Chen, Zheng ;

Fu, Yuhong ;

Mi, Chunting Chris .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2013, 62 (03) :1020-1030

[8] Incremental capacity analysis and close-to-equilibrium OCV measurements to quantify capacity fade in commercial rechargeable lithium batteries [J].

Dubarry, Matthieu ;

Svoboda, Vojtech ;

Hwu, Ruey ;

Liaw, Bor Yann .

ELECTROCHEMICAL AND SOLID STATE LETTERS, 2006, 9 (10) :A454-A457

[9] Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data [J].

Ecker, Madeleine ;

Gerschler, Jochen B. ;

Vogel, Jan ;

Kaebitz, Stefan ;

Hust, Friedrich ;

Dechent, Philipp ;

Sauer, Dirk Uwe .

JOURNAL OF POWER SOURCES, 2012, 215 :248-257

[10] Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles [J].

Farmann, Alexander ;

Waag, Wladislaw ;

Marongiu, Andrea ;

Sauer, Dirk Uwe .

JOURNAL OF POWER SOURCES, 2015, 281 :114-130

← 1 2 3 →