A review on the key issues of the lithium ion battery degradation among the whole life cycle

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

doi:10.1016/j.etran.2019.100005

Cited by 1,099 publications

(483 citation statements)

References 131 publications

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“…Near the fully charged state of Li‐ion batteries, there is only a ∼0.1 V gap in potential between the graphite anode and Li metal. Such a small gap can be easily surpassed by polarization as the battery is charged at low temperature or high rate . On the other hand, parasitic reactions between the plated Li and electrolyte solvent not only lower the battery's Coulombic efficiency (CE) but also increase the battery's impedance, and it often results in volumetric swelling of the battery .…”

Section: Introductionmentioning

confidence: 99%

“…Such a small gap can be easily surpassed by polarization as the battery is charged at low temperature or high rate . On the other hand, parasitic reactions between the plated Li and electrolyte solvent not only lower the battery's Coulombic efficiency (CE) but also increase the battery's impedance, and it often results in volumetric swelling of the battery . Therefore, Li plating has been regarded to be one of the most severe issues leading to performance decay and safety hazard as the Li‐ion batteries are charged at low temperature or high rate .…”

Section: Introductionmentioning

confidence: 99%

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Unveiling Capacity Degradation Mechanism of Li‐ion Battery in Fast‐charging Process

Zhang

2020

ChemElectroChem

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In this work, capacity degradation in fast-charging process is studied by using a power-optimized graphite-Li-Ni 0.80 Co 0.15 Al 0.05 O 2 (NCA) electrode couple and a three-electrode coin cell as the testing vehicle. It is shown that capacity degradation consists of two distinct stages, (1) rapid degradation in early period and (2) progressive degradation over lifetime, which are associated with the electrochemical reduction of electrolyte solvents on the graphite anode and the structural deterioration of the NCA cathode, and are well correlated to a decrease in Coulomb efficiency. Analyses on the change in differential capacity profile and the recoverability of the lost capacity reveal that capacity degradation mainly originates from structural deterioration of the NCA cathode over lifetime, and it aggravates with the state-of-charge and temperature. Based on this guideline, we show that capacity degradation of the Li-ion batteries in the fast-charging applications can be greatly mitigated by limiting the cell's operation to a relatively low state-of-charge (i. e., a relatively low charging cut-off voltage).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unveiling Capacity Degradation Mechanism of Li‐ion Battery in Fast‐charging Process

Zhang

2020

ChemElectroChem

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“…Power battery is the core component of the power system of new energy vehicles, and lithium‐ion battery is the most widely used power battery for electric vehicles at present. It has the advantages of high energy density, long service life, low self‐discharge rate, green environmental protection etc 1‐4 . The capacity of lithium‐ion pouch cells is 5% to 15% higher than that of steel or aluminum lithium cells with the same size, and the weight is lighter.…”

Section: Introductionmentioning

confidence: 99%

A study of external surface pressure effects on the properties for lithium‐ion pouch cells

et al. 2020

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Summary Lithium‐ion pouch cells are widely used in electric vehicles because of their high energy density than other structures. There is an unavoidable external surface pressure between the cells in the process of packing and driving of electric vehicles. The influence of external surface pressure on the main properties of the lithium‐ion pouch cell has been studied, which is of great significance to packing batteries and reusing retired cells. In this study, a testing device applied for the measurement of constant external surface pressures of lithium‐ion pouch cells was first proposed and the different pressure stress‐strain distribution on the external surface of cells under semirigid material pads were analyzed by simulation. The effects of pressure on the capacity, internal resistance, and open circuit voltage of fresh and aged LiNixCoyMnzO2 (NCM) lithium‐ion pouch cells are analyzed through experiments under 1 Mpa external surface pressure. The results show that the internal resistance of fresh cells tends to decrease. The average percentage of the maximum reduction of internal resistance is 13.28%. The experiments also demonstrate that the capacity of aging cells increased by 2.3%. Irreversibility of capacity improvement indicates applying appropriate external surface pressure can improve the secondary utilization efficiency of aging cells.

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“…Due to the existence of pervasive side-reactions during the operation of batteries, battery state-of-health (SOH) sees a continuous degradation throughout their service life. And different factors can have different effects on battery capacity or internal resistance [5,6]. For example, low temperature affects the de-insertion capability of lithium ions from the negative electrode, which in turn influences battery capacity.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles

et al. 2019

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Accurate state-of-health (SOH) estimation for battery packs in electric vehicles (EVs) plays a pivotal role in preventing battery fault occurrence and extending their service life. In this paper, a novel internal ohmic resistance estimation method is proposed by combining electric circuit models and data-driven algorithms. Firstly, an improved recursive least squares (RLS) is used to estimate the internal ohmic resistance. Then, an automatic outlier identification method is presented to filter out the abnormal ohmic resistance estimated under different temperatures. Finally, the ohmic resistance estimation model is established based on the Extreme Gradient Boosting (XGBoost) regression algorithm and inputs of temperature and driving distance. The proposed model is examined based on test datasets. The root mean square errors (RMSEs) are less than 4 mΩ while the mean absolute percentage errors (MAPEs) are less than 6%. The results show that the proposed method is feasible and accurate, and can be implemented in real-world EVs.

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A review on the key issues of the lithium ion battery degradation among the whole life cycle

Cited by 1,099 publications

References 131 publications

Unveiling Capacity Degradation Mechanism of Li‐ion Battery in Fast‐charging Process

Unveiling Capacity Degradation Mechanism of Li‐ion Battery in Fast‐charging Process

A study of external surface pressure effects on the properties for lithium‐ion pouch cells

Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles

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