Thermal runaway features of large format prismatic lithium ion battery using extended volume accelerating rate calorimetry

Feng, Xuning; Fang, Mou; He, Xiangming; Ouyang, Minggao; Lu, Languang; Wang, Hao; Zhang, Mingxuan

doi:10.1016/j.jpowsour.2014.01.005

Cited by 699 publications

(292 citation statements)

References 54 publications

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“…[12,20,24] Released oxygen reacts with the electrolyte in LIBs with stronge xothermicity. [11,12,24,25] Hence, these results indicate that the fluorinated sample exhibits better thermals tabilityb ecause of the lower amount of oxygen releaseda te levated temperatures. It was believed that the lower amount of spinel-like phase creationi nf luorinated LLO was closely relatedt ot he smaller unstables urfacep hase (layered 1) after the first charging process.…”

Section: Resultsmentioning

confidence: 76%

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Improved Thermal Stability of Lithium‐Rich Layered Oxide by Fluorine Doping

et al. 2017

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The thermal stability of lithium‐rich layered oxide with the composition Li(Li1/6Ni1/6Co1/6Mn1/2)O2−xFx (x=0.00 and 0.05) is evaluated for use as a cathode material in lithium‐ion batteries. Thermogravimetric analysis, evolved gas analysis, and differential scanning calorimetry show that, upon fluorine doping, degradation of the lithium‐rich layered oxides commences at higher temperatures and the exothermic reaction is suppressed. Hot box tests also reveal that the prismatic cell with the fluorine‐doped powder does not explode, whereas that with the undoped one explodes at about 135 °C with a sudden temperature increase. XRD analysis indicates that fluorine doping imparts the lithium‐rich layered oxide with better thermal stability by mitigating oxygen release at elevated temperatures that cause an exothermic reaction with the electrolyte. The origin of the reduced oxygen release from the fluorinated lithium‐rich layered oxide is also discussed.

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Section: Resultsmentioning

confidence: 76%

“…[11,20,21] At the initial stage of temperature increase, the solid-electrolyte interface (SEI) layer formed on the anode decomposesa nd heat generation commencesa ta bout 69 8C. The exothermic reaction between the lithiated anode and electrolyte also generates heat between 110a nd 150 8C.…”

Section: Resultsmentioning

confidence: 99%

Improved Thermal Stability of Lithium‐Rich Layered Oxide by Fluorine Doping

et al. 2017

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“…Thermal degradation of battery components and single cells is performed using adiabatic calorimetry. The complex nature and high reactivity of lithium ion cells, especially during the fast gas release by rapid degradation reactions, raises the need for specialised equipment and specific operating procedures [33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Influence of aging on the heat and gas emissions from commercial lithium ion cells in case of thermal failure

Lammer

Königseder

Gluschitz

et al. 2018

J. Electrochem. Sci. Eng.

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“…The ISCr may cause thermal runaway when the temperature rise by the ISCr in the battery exceeds a certain point [5] or the ISCr resistance R ISC f is lower than a certain value [9]. Then a fire and an explosion can occur by the thermal runaway [10][11][12]. The ISCr is the main cause of battery fire accidents in Boeing 787-8 aircraft [13].…”

Section: Introductionmentioning

confidence: 99%

Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method

et al. 2017

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Abstract:Early detection of an internal short circuit (ISCr) in a Li-ion battery can prevent it from undergoing thermal runaway, and thereby ensure battery safety. In this paper, a model-based switching model method (SMM) is proposed to detect the ISCr in the Li-ion battery. The SMM updates the model of the Li-ion battery with ISCr to improve the accuracy of ISCr resistance R ISC f estimates. The open circuit voltage (OCV) and the state of charge (SOC) are estimated by applying the equivalent circuit model, and by using the recursive least squares algorithm and the relation between OCV and SOC. As a fault index, the R ISC f is estimated from the estimated OCVs and SOCs to detect the ISCr, and used to update the model; this process yields accurate estimates of OCV and R ISC f . Then the next R ISC f is estimated and used to update the model iteratively. Simulation data from a MATLAB/Simulink model and experimental data verify that this algorithm shows high accuracy of R ISC f estimates to detect the ISCr, thereby helping the battery management system to fulfill early detection of the ISCr.

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Thermal runaway features of large format prismatic lithium ion battery using extended volume accelerating rate calorimetry

Cited by 699 publications

References 54 publications

Improved Thermal Stability of Lithium‐Rich Layered Oxide by Fluorine Doping

Improved Thermal Stability of Lithium‐Rich Layered Oxide by Fluorine Doping

Influence of aging on the heat and gas emissions from commercial lithium ion cells in case of thermal failure

Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method

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