Electrical and thermal interplay in lithium‐ion battery internal short circuit and safety protection

Chen, Mingbiao; Lin, Shili; Song, Wenjing; Lv, Jie; Zhou, Feng

doi:10.1002/er.5411

Cited by 23 publications

(13 citation statements)

References 38 publications

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“…[1][2][3][4][5][6] Without proper and effective monitoring and control, a battery is prone to cause fire outbreaks, explosions, and other dangerous accidents. [7][8][9][10][11] As a battery is a complex electrochemical-physical system, it is difficult to describe its behavior and estimate its state accurately. To analyze the performance and estimate a battery state (the state of health (SOH), state of power (SOP), and state of charge (SOC)), it is necessary to model a practical battery and estimate the battery model parameters in realtime accurately.…”

Section: Introductionmentioning

confidence: 99%

Real‐time identification of partnership for a new generation of vehicles battery model parameters based on the model reference adaptive system

et al. 2021

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Partnership for a new generation of vehicles (PNGV) model is a conventional battery equivalent circuit model (ECM). However, identifying the best parameters for this model is a challenge. In this study, the PNGV model is transformed into a directly identifiable difference equation to identify its parameters. Subsequently, the model reference adaptive system (MRAS) is used to realize the real-time identification of the model parameters. The identification accuracy of the MRAS is found to be superior to that of the recursive extended least square algorithm. For a single hybrid pulse power characterization (HPPC), the PNGV model identified by the MRAS can achieve a high-precision terminal voltage estimation. For lithium iron phosphate, lithium titanate, and nickel-metal hydride batteries, the root mean square errors are 0.024, 0.048, and 0.020 V, respectively. Besides, the real-time state of charge (SOC) estimation can be realized by the identified open-circuit voltage (OCV). The average errors of the three batteries are only −0.02, −0.01, and −0.01, respectively. Since the PNGV model has a capacity of describing the change of OCV with the current accumulation effect, the model is only suitable for simulating single HPPC or positive-negative pulses with equal amplitude and not for other current pulses. This is a major drawback of the PNGV model. The real-time PNGV model parameters identification method proposed in this study can provide a solid foundation for various state estimation of a battery. Novelty Statement• Transformation of the PNGV model into a difference equation that can be directly identified.• Real-time identification of the PNGV model parameters via the MRAS.• The identified OCV realized the real-time SOC estimation and discussed the deficiencies of the PNGV model.

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Section: Introductionmentioning

confidence: 99%

Real‐time identification of partnership for a new generation of vehicles battery model parameters based on the model reference adaptive system

et al. 2021

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“…11,12 In recent years, EV ignition accidents caused by thermal runaway of LIBs have occurred frequently; hence, LIB safety has attracted considerable attention globally. [13][14][15] An internal shortcircuit (ISC) commonly causes LIB thermal runaway; the process from an ISC to thermal runaway required a specific amount of time. 11,16 Therefore, early detection of an ISC can effectively prevent thermal runaway, ensuring safety of drivers and property, which is critical in improving LIB and EV safety.…”

Section: Introductionmentioning

confidence: 99%

“…To further improve the operational range of EVs, LIBs are being developed to have higher energy densities 9,10 ; however, in case of an accident, the significant energy release can cause severe damage 11,12 . In recent years, EV ignition accidents caused by thermal runaway of LIBs have occurred frequently; hence, LIB safety has attracted considerable attention globally 13‐15 . An internal short‐circuit (ISC) commonly causes LIB thermal runaway; the process from an ISC to thermal runaway required a specific amount of time 11,16 .…”

Section: Introductionmentioning

confidence: 99%

Online internal short circuit detection method considering equalization electric quantity for lithium‐ion battery pack in electric vehicles

Lai

Wei

Hai-li³

et al. 2020

Int J Energy Res

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The timely and accurate detection of an internal short circuit (ISC) is critical for improving electric vehicle (EV) safety. Typical ISC detection approaches are based on consistency differences between each cell in a module. However, the indispensable equalizer in a battery management system reduces inconsistency, affecting the accuracy and timeliness of ISC detection. Hence, an online ISC detection method considering equalization electric quantity (EEQ) is proposed. First, the remaining charge capacity and state-of-charge difference approaches are investigated. Next, the negative impact of EEQ on ISC detection is analyzed; thereafter, improved approaches based on EEQ compensation are proposed. Moreover, an ISC routing inspection approach for dormant EVs is proposed. Lastly, the proposed approaches are verified. The main results are as follow: (a) The ISC detection method without EEQ compensation has issues, such as significant errors, undetected ISC, and longer detection periods; our approaches help effectively overcome these issues, while the detection error is maintained below 5%; (b) Supplementing the above approaches, the proposed ISC routing inspection approach can help detect a moderate ISC even for a dormant EV, while further improving timeliness in ISC detection.

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“…Lithium‐ion batteries owing to high specific capacity and energy as well as long life are widely used in portable electronics and electric vehicles (EVs) 1‐7 . However, the increasing performance of EVs has promoted the continuous improvement of the electrochemical properties of lithium‐ion batteries.…”

Section: Introductionmentioning

confidence: 99%

“…Lithium-ion batteries owing to high specific capacity and energy as well as long life are widely used in portable electronics and electric vehicles (EVs). [1][2][3][4][5][6][7] However, the increasing performance of EVs has promoted the continuous improvement of the electrochemical properties of lithium-ion batteries. Normally, cathode materials generally determine the capacity and anode material determine the cycle life for lithium-ion batteries.…”

Section: Introductionmentioning

confidence: 99%

Cobalt‐based metal organic framework ( Co‐MOFs )/graphene oxide composites as high‐performance anode active materials for lithium‐ion batteries

et al. 2020

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Summary Conventional graphene oxide cannot be directly used as an anode active material for lithium‐ion batteries owing to its surface state and lithium‐ion steric hindrance effect. To solve these problems, Co‐MOFs/graphene oxide composite active materials are synthesized by a facile solvothermal method. Through X‐ray diffraction and Raman spectrum analysis, Co‐MOFs and graphene oxide can interact with each other in the composite material and the structure, defect concentrations and graphitization degree of graphene oxide have been affected to a certain impact. Scanning electron microscopy observes that when the mass ratio of Co‐MOFs and graphene oxide is 1:1, this composite material shows more ideal and ordinal layered morphology. As anode active materials, they display electrochemical reaction characteristics of typical soft carbon and create abundant active sites with wide energy distribution and ameliorate the steric effect of graphene oxide on lithium ion. It also can be illustrated that the initial discharge specific capacities can achieve to 873.13, 795.41, 694.91 and 569.50 mAh·g−1 at 100, 200, 300 and 500 mA·g−1 current densities. After 500 cycles, capacity retention rates are 79.28%, 76.82%, 87.35% and 96.82% at 100, 200, 500 and 1000 mA·g−1 current densities. Electrochemical mechanism analysis shows that this Co‐MOFs/graphene oxide composite active material shows a similar electrochemical reaction process of graphene oxide and Co‐MOFs mainly play the role of optimizing the surface structure of graphene oxide and also supply a little capacity due to high specific capacity. Highlights Co‐MOFs/graphene oxide composites are synthesized by a facile solvothermal method. Co‐MOFs mainly play the role of optimizing the surface structure of graphene oxide. Anode using this composite material has a very high initial discharge specific capacity. This composite active material can stably charge and discharge for 500 cycles.

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Electrical and thermal interplay in lithium‐ion battery internal short circuit and safety protection

Cited by 23 publications

References 38 publications

Real‐time identification of partnership for a new generation of vehicles battery model parameters based on the model reference adaptive system

Real‐time identification of partnership for a new generation of vehicles battery model parameters based on the model reference adaptive system

Online internal short circuit detection method considering equalization electric quantity for lithium‐ion battery pack in electric vehicles

Cobalt‐based metal organic framework ( Co‐MOFs )/graphene oxide composites as high‐performance anode active materials for lithium‐ion batteries

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