Contribution to the Study of Electric Arcs in Lithium-Ion Batteries

Augeard, Amaury; Singo, Tchapo; Desprez, Philippe; Abbaoui, M'Hammed

doi:10.1109/tcpmt.2016.2549502

Cited by 18 publications

(5 citation statements)

References 36 publications

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“…Nowadays, most of LIB available on the market is integrated with internal protection circuit such as current interrupt device (CID) and positive temperature coefficient (PTC). CID is a method to manage cell overcharge by disconnecting the circuit if overpressure event is occurred [1]. Inside the CID, there is a fusible link that connecting the cell's terminal and the electrode [27].…”

Section: Lithium-ion Cell Faultmentioning

confidence: 99%

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System protection for lithium-ion batteries management system: a review

Rimon¹,

Muhammad²,

Sulaiman³

et al. 2019

IJEECS

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<span>Robustness of a battery management system (BMS) is a crucial issue especially in critical application such as medical or military. Failure of BMS will lead to more serious safety issues such as overheating, overcharging, over discharging, cell unbalance or even fire and explosion. BMS consists of plenty sensitive electronic components and connected directly to battery cell terminal. Consequently, BMS exposed to high voltage potential across the BMS terminal if a faulty cell occurs in a pack of Li-ion battery. Thus, many protection techniques have been proposed since last three decades to protect the BMS from fault such as open cell voltage fault, faulty cell, internal short circuit etc. This paper presents a review of a BMS focuses on the protection technique proposed by previous researcher. The comparison has been carried out based on circuit topology and fault detection technique</span>

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Section: Lithium-ion Cell Faultmentioning

confidence: 99%

“…Lithium-ion battery (LIB) has been launched into the market place by SONY in June 1991 [1]. Today, Li-ion battery can be found in many applications such as electric vehicle (EV), smart gadgets, solar photovoltaic industries etc.…”

Section: Introductionmentioning

confidence: 99%

System protection for lithium-ion batteries management system: a review

Rimon¹,

Muhammad²,

Sulaiman³

et al. 2019

IJEECS

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“…This method of arc fault detection, which relies on historical arc data, exhibits a detection delay that trails the occurrence of the arc. Within this detection interval, the arc may have already compromised the routine operation of the battery system [14,15]. Therefore, early-stage research on battery system arcs has only focused on the mechanism detection of arcs, neglecting the impact of arcs on the safety performance of the battery system.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Model Analysis of the Thermal and Electrical Phenomenon of Arc Faults on the Electrode Pole of Lithium-Ion Batteries

Dong,

Gao,

et al. 2024

Batteries

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Aiming at the electrical safety problem of a high-voltage lithium-ion battery system caused by an arc, and based on the establishment of a battery arc fault experimental platform, the evolution law of safety caused by an arc in the negative terminal of a battery system under different working conditions is discussed. On this basis, a battery arc evolution model based on magnetohydrodynamics is established to analyze the arc’s electro-thermal coupling characteristics to further obtain the distribution of the arc’s multi-physical field. The results show that the arc generated by the high-voltage grade battery pack will break down the cell’s shell and form a hole, resulting in electrolyte leakage. When the loop current is 10 A, the evolution law of arc voltage and current is basically the same under different supply voltages, charges, and discharges. The accuracy of the battery arc simulation model is verified by comparing the simulation with the experimental results. The research in this paper provides a theoretical basis for the electrical safety design of lithium-ion batteries caused by the arc, fills the gaps in the field of battery system arc simulation, and is of great significance for improving the safety performance of arc protection.

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“…The whole structure is more complicated. The DC arc faults of electric vehicle (EV) battery systems have been discussed in [18][19][20][21][22]. The characteristics and detected methods of DC arc in battery are analysed.…”

Section: Introductionmentioning

confidence: 99%

Binary classification model based on machine learning algorithm for the DC serial arc detection in electric vehicle battery system

Xia

Guo

et al. 2019

IET Power Electronics

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Direct current (DC) serial arc faults usually occur in the damaged insulation lines or line connections, which will cause serious accidents such as fires and explosions. With the rapid increase of electric vehicles, DC serial arc faults are more and more dangerous to battery system. Therefore, a binary classification model based on machine learning algorithm was proposed to detect DC serial arc faults effectively in this study. It was optimised according to the characteristic signals of the arc to be satisfied with different loads for higher detection accuracy and robustness. In the simulative experiments for the power system electric vehicle, while the loads changing to the motor, the resistor or the inverter, it will all reach a highly successful detection rate, respectively.

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Contribution to the Study of Electric Arcs in Lithium-Ion Batteries

Cited by 18 publications

References 36 publications

System protection for lithium-ion batteries management system: a review

System protection for lithium-ion batteries management system: a review

Experimental and Model Analysis of the Thermal and Electrical Phenomenon of Arc Faults on the Electrode Pole of Lithium-Ion Batteries

Binary classification model based on machine learning algorithm for the DC serial arc detection in electric vehicle battery system

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