A comparative investigation of aging effects on thermal runaway behavior of lithium-ion batteries

Ren, Dongsheng; Hsu, Hungjen; Li, Ruihe; Feng, Xuning; Guo, Dongxu; Han, Xiao; Lu, Languang; He, Xiangming; Gao, Shang; Hou, Junxian; Li, Yan; Wang, Yongling; Ouyang, Minggao

doi:10.1016/j.etran.2019.100034

Cited by 305 publications

(115 citation statements)

References 55 publications

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“…It is observed that all the batteries were brought to the point of thermal runaway although the thermal stability of the concentrated electrolyte was obviously higher. The three characteristic temperatures of {T 1 , T 2 , T 3 } were defined to describe the thermal behavior of the batteries with different electrolytes 7,11,13 . In this study, in case of the concentrated and conventional electrolytes, T 1 was located at~130°C, and T 3 was between 650°C and 730°C, whereas T 2 exhibited a totally different value (Fig.…”

Section: Safety Characterization Of Lifsi/dmc In Gr|nmc Batteriesmentioning

confidence: 99%

“…he application of large-format lithium-ion batteries (LIBs) with high energy density in electric vehicles requires a high level of battery safety [1][2][3][4][5][6][7][8][9] , as the fires and explosions of batteries that take place during thermal runaway pose serious threats to the lives of passengers and property 1,[10][11][12] . Thermal runaway is driven by a chain of exothermic reactions that spontaneously increase the temperature of lithium-ion batteries.…”

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confidence: 99%

“…Moreover, avoiding the initial triggers or shutting down the reaction chain is very meaningful for safety control. For most of the battery chemistries with layered oxide cathodes and graphite anodes, such as graphite|LiNi 0.3 Co 0.3 Mn 0.3 O 2 (Gr| NMC333) batteries, it was confirmed that the heat generated before 250°C is dominated by the reactions between the anode and the electrolyte, which is believed to extremely increase the battery's temperature to a level that initiates the final thermal runaway reactions 7,33,34 . Besides, the chemical crosstalk in gra-phite|LiNi 0.5 Mn 0.3 Co 0.2 O 2 (Gr|NMC532) batteries was proven to trigger thermal runaway without internal short circuits (ISC) 12 .…”

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confidence: 99%

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Thermal runaway of Lithium-ion batteries employing LiN(SO2F)2-based concentrated electrolytes

et al. 2020

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Concentrated electrolytes usually demonstrate good electrochemical performance and thermal stability, and are also supposed to be promising when it comes to improving the safety of lithium-ion batteries due to their low flammability. Here, we show that LiN(SO2F)2-based concentrated electrolytes are incapable of solving the safety issues of lithium-ion batteries. To illustrate, a mechanism based on battery material and characterizations reveals that the tremendous heat in lithium-ion batteries is released due to the reaction between the lithiated graphite and LiN(SO2F)2 triggered thermal runaway of batteries, even if the concentrated electrolyte is non-flammable or low-flammable. Generally, the flammability of an electrolyte represents its behaviors when oxidized by oxygen, while it is the electrolyte reduction that triggers the chain of exothermic reactions in a battery. Thus, this study lights the way to a deeper understanding of the thermal runaway mechanism in batteries as well as the design philosophy of electrolytes for safer lithium-ion batteries.

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Section: Safety Characterization Of Lifsi/dmc In Gr|nmc Batteriesmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Thermal runaway of Lithium-ion batteries employing LiN(SO2F)2-based concentrated electrolytes

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“…Considering the correlation between aging speed and internal chemistry, it is reasonable that cells with similar chemical/physical states at certain time point will experience different aging speeds under the same environmental stress (such as electric stress, temperature stress, mechanical stress) and present varied chemical/physical states in the following time points 18,42,43 . In this study, cell degradation under room temperature storage was mainly caused by the SEI film formation side reaction, which is influenced by the surface area of the anode active material, the thickness of the anode and the original SEI film formed during the preparation process 44,45 .…”

Section: Comparison Of Cis and State-of-art Test For This Test 80 Cmentioning

confidence: 99%

A Facile Approach to High Precision Detection of Cell-to-Cell Variation for Li-ion Batteries

Xie

Ren

Wang

et al. 2020

Sci Rep

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over the past decade, it has been repeatedly demonstrated that homogeneity in electrochemical performance of lithium-ion cells plays a major role in determining the life and safety of lithium-ion battery modules or packs. Generally, the homogeneity of a battery pack is evaluated by characterizing the cells individually in terms of capacity, mass, impedance. particularly, high quality electrochemical data heavily relies on the availability of high precision current source to minimize the discrepancy induced by the channel-to-channel variation. Here, a facile and precise measurement method is reported for screening cell-to-cell variations, in which voltage is the only indicator parameter independent of high precision current source. in detail, by connecting the cells in series (ciS), the measurement error of electrochemical data caused by stability and discrepancy of current sources among different charge/discharge equipment can be effectively avoided. The findings of this work showed that the cell-to-cell variations can be simply and sensitively detected with CiS configuration. for example, the relative standard deviation, which is the evaluation criterion of battery homogeneity, was 2.14% based on CiS while it was 0.43% based on individual measurements. The simple and precise ciS measurement is promising for evaluation of cell quality or module integration quality. in addition, this work can also provide a solid foundation for the development of detection algorithms for battery management systems to rapidly monitor battery homogeneity.Lithium ion batteries (LIBs) have to be integrated into modules and packs for large-scale applications such as electric vehicles (EVs) and stationary energy storage systems 1-7 . However, a reliable and long-lasting power system is determined mostly by the cell homogeneity rather than the performance of individual cells 8,9 . The cell-to-cell variations in terms of capacity and impedance will subject individual cells to different levels of state of charge (SOC), current, temperature and aging, which in turn would accelerate the degradation of electrochemical performance or even lead to safety performance of the power system 2,10-13 . For instance, a weak cell with a smaller capacity than the average in a series-connected module will be repeatedly overcharged (over-discharged) during charging (discharging) process if the charge/discharge cutoff condition is determined according to the total voltage 14 . The weaker cell will then have faster decay than others and will be susceptible to failure under harsh conditions. The available energy of the module will also be limited by the weakest cell 15 . Therefore, there is an urgent need to understand and minimize the cell-to-cell variations in a battery module.There are different factors leading to variations among cells 11 , including manufacturing factors (manufacturing tolerances, quality control and process design), and environmental factors such as temperature gradient within the battery pack 16 . Rumpf et al. 12 has evaluated the cel...

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“…Several D-type cells (denoted as D1-D7) were subject to cycling at 45 • C with a charge/discharge rate of 1 • C. D1 was a fresh cell, while D2 to D7 have been exposed to varying cycling, and hence, possessed varying SOH. In this paper, SOH is defined by assessing the actual capacity divided by the nominal capacity as follows [47][48][49][50][51]:…”

Section: Aging Characterization Of the Cellsmentioning

confidence: 99%

Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra

Guo

Yang

Guo³

et al. 2020

Energies

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Electrochemical impedance spectroscopy (EIS) is a powerful tool for investigating electrochemical systems, such as lithium-ion batteries or fuel cells, given its high frequency resolution. The distribution of relaxation times (DRT) method offers a model-free approach for a deeper understanding of EIS data. However, in lithium-ion batteries, the differential capacity caused by diffusion processes is non-negligible and cannot be decomposed by the DRT method, which limits the applicability of the DRT method to lithium-ion batteries. In this study, a joint estimation method with Tikhonov regularization is proposed to estimate the differential capacity and the DRT simultaneously. Moreover, the equivalence of the differential capacity and the incremental capacity is proven. Different types of commercial lithium-ion batteries are tested to validate the joint estimation method and to verify the equivalence. The differential capacity is shown to be a promising approach to the evaluation of the state-of-health (SOH) of lithium-ion batteries based on its equivalence with the incremental capacity.

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A comparative investigation of aging effects on thermal runaway behavior of lithium-ion batteries

Cited by 305 publications

References 55 publications

Thermal runaway of Lithium-ion batteries employing LiN(SO2F)2-based concentrated electrolytes

Thermal runaway of Lithium-ion batteries employing LiN(SO2F)2-based concentrated electrolytes

A Facile Approach to High Precision Detection of Cell-to-Cell Variation for Li-ion Batteries

Determination of the Differential Capacity of Lithium-Ion Batteries by the Deconvolution of Electrochemical Impedance Spectra

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