Failure mechanism of Li-ion battery at overcharge conditions

Belov, D. G.; Mo-hua, Yang

doi:10.1007/s10008-007-0449-3

Cited by 209 publications

(125 citation statements)

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“…The assessment and characterization of RESS is a hard task. It can be performed at different ways as proposed by the references [21,25,[34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. As mentioned before, these methodologies aim to analyze limited specific parameters.…”

Section: Figurementioning

confidence: 99%

“…According to the references [36][37][38][39], the potential lithium-ion chemistries candidates in PHEVs are: In portable applications, lithium cobalt oxide (LiCoO 2 ) based batteries have a superior position. However, the applicability of this battery chemistry is not appropriate in the PHEVs due to their less beneficial thermal stability, high cost and limited availability of cobalt [39][40][41][42][43][44][45].…”

Section: Figurementioning

confidence: 99%

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Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics

et al. 2012

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Abstract:In this paper, the performances of various lithium-ion chemistries for use in plug-in hybrid electric vehicles have been investigated and compared to several other rechargeable energy storage systems technologies such as lead-acid, nickel-metal hydride and electrical-double layer capacitors. The analysis has shown the beneficial properties of lithium-ion in the terms of energy density, power density and rate capabilities. Particularly, the nickel manganese cobalt oxide cathode stands out with the high energy density up to 160 Wh/kg, compared to 70-110, 90 and 71 Wh/kg for lithium iron phosphate cathode, lithium nickel cobalt aluminum cathode and, lithium titanate oxide anode battery cells, respectively. These values are considerably higher than the lead-acid (23-28 Wh/kg) and nickel-metal hydride (44-53 Wh/kg) battery technologies. The dynamic discharge performance test shows that the energy efficiency of the lithium-ion batteries is significantly higher than the lead-acid and nickel-metal hydride technologies. The efficiency varies between 86% and 98%, with the best values obtained by pouch battery cells, ahead of cylindrical and prismatic battery design concepts. Also the power capacity of lithium-ion technology is superior compared to other technologies. The power density is in the range of 300-2400 W/kg against 200-400 and 90-120 W/kg for lead-acid and nickel-metal hydride, respectively. However, considering the influence of energy efficiency, the power density is in the range of 100-1150 W/kg. Lithium-ion batteries optimized for high energy are at the OPEN ACCESSEnergies 2012, 5 2953 lower end of this range and are challenged to meet the United States Advanced Battery Consortium, SuperLIB and Massachusetts Institute of Technology goals. Their association with electric-double layer capacitors, which have low energy density (4-6 Wh/kg) but outstanding power capabilities, could be very interesting. The study of the rate capability of the lithium-ion batteries has allowed for a new state of charge estimation, encompassing all essential performance parameters. The rate capabilities tests are reflected by Peukert constants, which are significantly lower for lithium-ion batteries than for nickel-metal hydride and lead-acid. Furthermore, rate capabilities during charging have been investigated. Lithium-ion batteries are able to store about 80% of the capacity at current rate 2I t , with high power cells accepting over 90%. At higher charging rates of 5I t or more, the internal resistance impedes charge acceptance by high energy cells. The lithium titanate anode, due to its high surface area (100 m 2 /g compared to 3 m 2 /g for the graphite based anode) performs much better in this respect. The behavior of lithium-ion batteries has been investigated at different conditions. The analysis has leaded us to a new lithium ion battery model. This model will be compared to existing battery models in future research contributions.

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Section: Figurementioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics

et al. 2012

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“…However, in most cases, the capacity decays rapidly as cycled due to high electrical resistivity and mechanism failure. [16] Molybdenum oxide (MoO 2 ) is different from other metal oxides. It possesses metallic conductivity (its electrical resistivity is 8.8 × 10 −5 Ω cm at 300 K in bulk sample), with a theoretical capacity as high as 836 mAh g −1 .…”

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confidence: 99%

Constructing MoO₂ Porous Architectures Using Graphene Oxide Flexible Supports for Lithium Ion Battery Anodes

Yao

et al. 2017

Global Challenges

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the theoretical capacity of graphite electrodes is 372 mAh g −1 , resulted in an obstacle for their potential applications. The strategies to develop alternative anode materials with improved capacity have been achieved for several decades. [1][2][3][4][5][6][7][8] Among them, nanoscale metal oxides, including MnO, [9] SnO 2 , [10,11] Co 3 O 4 , [12] NiO, [13] and Fe 3 O 4 , [14,15] used as anode active materials for LIBs have been paid much attention attributed to their promising theoretical capacity. However, in most cases, the capacity decays rapidly as cycled due to high electrical resistivity and mechanism failure. [16] Molybdenum oxide (MoO 2 ) is different from other metal oxides. It possesses metallic conductivity (its electrical resistivity is 8.8 × 10 −5 Ω cm at 300 K in bulk sample), with a theoretical capacity as high as 836 mAh g −1 . [17] However, the capacity of bulk MoO 2 is low due to sluggish lithiation/delithiation kinetics. [17][18][19][20] On the other hand, the nanoporous structure constructed with lots of interconnect nanounits to form numbers of nanoscale pore provides adequate spaces for electrochemical reaction and connected pathways for ion diffusion. [21,22] The nano-MoO 2 porous structures have been synthesized by using mesoporous silica as hard templates, followed removing this hard templates by hydrofluoric acid, [23] or by a sulfur-assisted decomposition process. [24] The prepared MoO 2 porous materials have displayed improved capacity for LIBs. However, the capacity fade after charge/discharge process is attributed to the pure MoO 2 skeleton that will be possibly collapsed. The cycle stability needs to be improved further. It should be desired for the MoO 2 porous structure with flexible supports via retarding the pulverization from pure MoO 2 skeleton.Carbon nanomaterials, especially, graphene with large specific surface area and high toughness, are suitable for both substrates and supports for MoO 2 electrode active materials. However, owing to graphene being liable to stack together, it is difficult to prepare well distributed graphene templated metal oxide architectures. The strategies, including solid-state graphenothermal reduction method, [25] microwave-assisted hydrothermal process, [26] and soft-templated hydrothermal method, [27] have been used to synthesize MoO 2 /C nanocomposites, exhibiting promising performance for LIBs. In our present

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“…Jellyroll consists of separator, cathode, anode, active particles, and adhesives to bond active particles on the electrodes [18]. Ruling out the structural effects makes obtaining the material parameters of cathode and anode by tension and compression tests through staking up layers of the material rather straightforward [16,17].…”

Section: Introductionmentioning

confidence: 99%

Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies

et al. 2016

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h i g h l i g h t sAn anisotropic model to describe mechanical behaviors of LIB is established. SOC dependency is included in the mechanical model of the jellyroll. Dynamic effect is considered in the model for LIB. g r a p h i c a l a b s t r a c t a r t i c l e i n f o b s t r a c tHighly nonlinear structures and constituent materials and hazardous experiment situations have resulted in a pressing need for a numerical mechanical model for lithium-ion battery (LIB). However, such a model is still not well established. In this paper, an anisotropic homogeneous model describing the jellyroll and the battery shell is established and validated through compression, indentation, and bending tests at quasi-static loadings. In this model, state-of-charge (SOC) dependency of the LIB is further included through an analogy with the strain-rate effect. Moreover, with consideration of the inertia and strainrate effects, the anisotropic homogeneous model is extended into the dynamic regime and proven capable of predicting the dynamic response of the LIB using the drop-weight test. The established model may help to predict extreme cases with high SOCs and crashing speeds with an over 135% improved accuracy compared to traditional models. The established coupled strain rate and SOC dependencies of the numerical mechanical model for the LIB aims to provide a solid step toward unraveling and quantifying the complicated problems for research on LIB mechanical integrity.

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Failure mechanism of Li-ion battery at overcharge conditions

Cited by 209 publications

References 18 publications

Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics

Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics

Constructing MoO₂ Porous Architectures Using Graphene Oxide Flexible Supports for Lithium Ion Battery Anodes

Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies

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Failure mechanism of Li-ion battery at overcharge conditions

Cited by 209 publications

References 18 publications

Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics

Rechargeable Energy Storage Systems for Plug-in Hybrid Electric Vehicles—Assessment of Electrical Characteristics

Constructing MoO2 Porous Architectures Using Graphene Oxide Flexible Supports for Lithium Ion Battery Anodes

Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies

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Constructing MoO₂ Porous Architectures Using Graphene Oxide Flexible Supports for Lithium Ion Battery Anodes