A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

Han, Xiao; Ouyang, Minggao; Lu, Languang; Li, Jianqiu; Zheng, Yuejiu; Li, Zhe

doi:10.1016/j.jpowsour.2013.11.029

Cited by 635 publications

(341 citation statements)

References 39 publications

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“…67 Some researchers also apply a current rate of C/3 to reduce the test time. 68,69 In a lithium-ion cell, the anode and the cathode can be considered as serial connected voltage sources, therefore the battery OCV is the difference of both electrode potentials. This is the theoretical basis of the DVA superposition principle, as shown in Eqs.…”

Section: Resultsmentioning

confidence: 99%

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Keil

Schuster

et al. 2017

J. Electrochem. Soc.

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This paper presents a lithium-ion battery aging study in which pouch cells comprising a LiCoO 2 /LiNi 0.8 Co 0.15 Al 0.05 O 2 blended cathode and a graphite anode are examined. The study focuses on the impact of temperature and discharge rate on the cycle life of the tested cells. Compared to the aging behavior of other lithium-ion cells in the literature, the cells tested here are less sensitive to the discharge rate but more vulnerable to low temperature cycling. The vulnerability to low temperature mainly comes from cathode degradation, especially of the LiCoO 2 component. This is identified by electrochemical impedance spectroscopy, differential voltage analysis and incremental capacity analysis. The cells are able to achieve 3000-5000 cycles before reaching a capacity fade of 20%, also at higher discharge rates up to 5C. All in all, the high discharge rate capability could be a general advantage of pouch cells due to less mechanical and thermal stress in their geometry. Furthermore, more attention should be paid to the cathode health in low temperature applications of lithium-ion cells containing layered oxides. This paper focuses mainly on non-invasive aging detection methods for lithium-ion cells. Post-mortem results will be published in a following paper.

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Section: Resultsmentioning

confidence: 99%

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Keil

Schuster

et al. 2017

J. Electrochem. Soc.

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show abstract

“…This work has been supported by other authors in the past few years [5], [8], [13] because it relates the IC/DV curves with the most pertinent degradation modes in a simple way. IC/DV curves are derived from halfcell measurements in [6].…”

Section: Identification Of Degradation Modesmentioning

confidence: 87%

“…Figure 1A) and B) illustrate that the constant gradient regions in the pseudo-Open Circuit Voltage (OCV) curve are related to EEP changes, which manifests themselves as peaks in the IC curves or valleys in the DV curves. The magnitude of the peaks/valleys changes with respect to voltage or capacity (IC and DV, respectively), depending on the cell chemistry [5] and ageing conditions, e.g. average temperature, C-rate, average state of charge (SoC) and depth of discharge difference (∆DoD) [7].…”

Section: Incremental Capacity and Differential Voltage Techniquementioning

confidence: 99%

“…These metrics do not however provide any insights into the root causes of battery degradation [5]. This knowledge will ultimately support lifetime control strategies that aim to maintain the vehicle performance and to maximise battery lifespan.…”

Section: Introductionmentioning

confidence: 97%

“…After analysing each of these methods it was concluded that the most promising diagnosis tools are IC and DV [1], [5]-[10] because they can encompass the identification and quantification of degradation modes as well as SoH diagnosis and prognosis. IC and DV techniques were applied in this study to identify and quantify degradation modes and to diagnose and prognose SoH of four parallelised Lithium-ion Batteries (LIBs) cycled with a constant driving profile for 500 charge-discharge cycles.…”

Section: Introductionmentioning

confidence: 99%

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A SoH Diagnosis and Prognosis Method to Identify and Quantify Degradation Modes in Li-ion Batteries using the IC/DV technique

Pastor-Fernández¹,

Widanage²,

Chouchelamane³

et al. 2016

6th Hybrid and Electric Vehicles Conference (HEVC 2016)

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Accurate State of Health (SoH) diagnosis and prognosis of Lithium-ion batteries (LIBs) may become an important estimate for the Battery Management System (BMS) if it can be acted upon to de-rate the demands placed on the battery in order to reduce the rate of ageing and to extend battery life. The BMS often quantifies SoH based on capacity (SoHE) and power fade (SoHP) without diagnosing the root causes. In line with this, Incremental Capacity (IC) and Differential Voltage (DV) techniques are used to identify and quantify degradation modes as well as to estimate and to predict the SoHE. These techniques were applied to four parallelised LIBs loaded with a constant current profile for 500 cycles. Loss of active material and loss of lithium ions were identified to be the most relevant degradation modes for this experiment. Moreover, a linear relationship between the intensity of the peaks of the IC and DV curves were identified with respect to the SoHE. This result may enable the future estimation and prediction of SoHE in a simple way. Overall, the outcomes of this work may support novel strategies to control SoHE within the BMS, so that the rate of battery degradation can be reduced.

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An Investigation on the Cycle Performance of LiFePO ₄ Pouch Cells by a Combination of Synchrotron Based X‐Ray Diffraction and Absorption Spectroscopy

Fey

Lin

Huang

et al. 2016

Ceramic Transactions Series

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A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

Cited by 635 publications

References 39 publications

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

A SoH Diagnosis and Prognosis Method to Identify and Quantify Degradation Modes in Li-ion Batteries using the IC/DV technique

An Investigation on the Cycle Performance of LiFePO ₄ Pouch Cells by a Combination of Synchrotron Based X‐Ray Diffraction and Absorption Spectroscopy

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A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

Cited by 635 publications

References 39 publications

Impact of Temperature and Discharge Rate on the Aging of a LiCoO2/LiNi0.8Co0.15Al0.05O2Lithium-Ion Pouch Cell

Impact of Temperature and Discharge Rate on the Aging of a LiCoO2/LiNi0.8Co0.15Al0.05O2Lithium-Ion Pouch Cell

A SoH Diagnosis and Prognosis Method to Identify and Quantify Degradation Modes in Li-ion Batteries using the IC/DV technique

An Investigation on the Cycle Performance of LiFePO 4 Pouch Cells by a Combination of Synchrotron Based X‐Ray Diffraction and Absorption Spectroscopy

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Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

Impact of Temperature and Discharge Rate on the Aging of a LiCoO₂/LiNi_0.8Co_0.15Al_0.05O₂Lithium-Ion Pouch Cell

An Investigation on the Cycle Performance of LiFePO ₄ Pouch Cells by a Combination of Synchrotron Based X‐Ray Diffraction and Absorption Spectroscopy