State of charge influence on thermal reactions and abuse tests in commercial lithium-ion cells

Péréa, Alexis; Paolella, Andrea; Dubé, Joël; Champagne, Dominique; Mauger, A.; Zaghib, Karim

doi:10.1016/j.jpowsour.2018.07.112

Cited by 97 publications

(41 citation statements)

References 22 publications

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“…Further, Kvasha et al (2018) show that for LFP 18650 cells at 0%, 50% and 100% SOC, there is a reduced temperature rate with lower SOC, from 4.4°C min −1 to 1.8°C min −1 . Additionally, with lower SOC there is an increased time to occurrence of exothermic reactions (Perea et al, 2018). However, Kvasha et al (2018) also shows, from separate differential scanning calorimetry (DSC) results, that the peak heat release for the electrolyte, anode and cathode decomposition reactions occurs between 280°C and 300°C at all SOC.…”

Section: Introductionmentioning

confidence: 97%

“…The study of Li-ion cells of other chemistries at various SOC have shown that cells at a lower SOC are more stable and safer than their fully charged counterparts, and studies of this type also allows a safe operating window for a cell in terms of SOC and temperature to be determined (Jhu et al, 2011;Ishikawa et al, 2012;Mendoza-Hernandez et al, 2015;Liu et al, 2016). Some studies have investigated TR at various SOC in LFP cells (Lu et al, 2013;Kvasha et al, 2018;Perea et al, 2018), and show similar characteristic behaviour to other chemistries. However, they do not discuss the nature of the reactions taking place at each SOC or define a safe operational widow of the cells.…”

Section: Introductionmentioning

confidence: 99%

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Pursuing safer batteries: Thermal abuse of LiFePO4 cells

Bugryniec

Davidson

Cumming

et al. 2019

Journal of Power Sources

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Pursuing safer batteries: Thermal abuse of LiFePO4 cells

Bugryniec

Davidson

Cumming

et al. 2019

Journal of Power Sources

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“…When LIBs are in an overheated or overcharged condition, cathodes may undergo a phase transition to release active oxygen species and generate massive heat. Generally, in the fully charged state, the highly delithiated cathode and highly lithiated anode are in highly oxidized and reduced states, respectively, and the LIBs are in the most dangerous state in this condition …”

Section: Conventional Solutions For Lib Safety Concernsmentioning

confidence: 99%

“…Generally, in the fully charged state, the highly delithiated cathode and highly lithiated anode are in highly oxidized and reduced states, respectively, and the LIBs are in the most dangerous state in this condition. [18][19][20] To make things worse, the "range anxiety" issue for EVs has been continuously pushing the total stored energy in LIBs even higher. This trend has driven LIB technology from LiFePO 4 and LiMn 2 O 4 to the "high-capacity" Ni-rich cathode systems, such as LiNi 0.8 Mn 0.1 Co 0.1 O 2 , LiNi 0.85 Co 0.15 Al 0.05 O 2 , etc., [21,22] while the anode material has been switched from graphite to high-capacity Si/C materials or lithium metal, to achieve the required high gravimetric/volumetric energy densities in the LIBs.…”

Section: Cathodementioning

confidence: 99%

Smart Materials and Design toward Safe and Durable Lithium Ion Batteries

et al. 2019

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Smart electrochemical energy storage devices are devices that can operate autonomously to some extent. Although the conventional electrochemical energy storage devices, e.g., the commonly used lithium‐ion batteries (LIBs), may be externally monitored in terms of their voltage and current output to reflect the state of health for the devices, it is extremely important to exploit materials and devices that are intrinsically smart enough to be capable of rapidly self‐detecting and responding to faults, such as interior short circuits, overheating, abnormal capacity drop, and other types of mechanical/chemical damage. These “smart” features could significantly enhance the safety characteristics and durability of LIBs, which is essential for future usage. Therefore, recent achievements toward smart materials and design strategies for safer and more durable LIBs are summarized. The main categories are as follows: 1) New materials: This category mainly includes smart electrode materials with thermal/electrical/mechanical self‐response functions, and self‐response separators to suppress thermal runaway/lithium dendrite growth; 2) New chemistries: This category mainly includes electrolytes with reversible self‐protecting functions; and 3) New architectures with novel functions, such as shape‐recovery, self‐heating, and self‐monitoring. Besides the working mechanisms, the challenges that must be overcome for smart LIBs to be adopted in practical applications are also discussed.

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“…The results show that the aging of the battery will lead to the mechanical deformation of the jelly roll and lithium plating on the anode, which has a great impact on battery safety. The cyclic stability and thermal runaway characteristics of four commercially available cylindrical batteries under three different states-of-charge (0, 50%, and 100%) were investigated in [5]. Abuse testing (crush and nail penetration tests) was also performed at 100% SOC.…”

Section: Introductionmentioning

confidence: 99%

State of Charge Estimation of a Lithium Ion Battery Based on Adaptive Kalman Filter Method for an Equivalent Circuit Model

Qiu

Tao

et al. 2019

Applied Sciences

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Due to its accuracy, simplicity, and other advantages, the Kalman filter method is one of the common algorithms to estimate the state-of-charge (SOC) of batteries. However, this method still has its shortcomings. The Kalman filter method is an algorithm designed for linear systems and requires precise mathematical models. Lithium-ion batteries are not linear systems, so the establishment of the battery equivalent circuit model (ECM) is necessary for SOC estimation. In this paper, an adaptive Kalman filter method and the battery Thevenin equivalent circuit are combined to estimate the SOC of an electric vehicle power battery dynamically. Firstly, the equivalent circuit model is studied, and the battery model suitable for SOC estimation is established. Then, the parameters of the corresponding battery charge and the discharge experimental detection model are designed. Finally, the adaptive Kalman filter method is applied to the model in the unknown interference noise environment and is also adopted to estimate the SOC of the battery online. The simulation results show that the proposed method can correct the SOC estimation error caused by the model error in real time. The estimation accuracy of the proposed method is higher than that of the Kalman filter method. The adaptive Kalman filter method also has a correction effect on the initial value error, which is suitable for online SOC estimation of power batteries. The experiment under the BBDST (Beijing Bus Dynamic Stress Test) working condition fully proves that the proposed SOC estimation algorithm can hold the satisfactory accuracy even in complex situations.

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State of charge influence on thermal reactions and abuse tests in commercial lithium-ion cells

Cited by 97 publications

References 22 publications

Pursuing safer batteries: Thermal abuse of LiFePO4 cells

Pursuing safer batteries: Thermal abuse of LiFePO4 cells

Smart Materials and Design toward Safe and Durable Lithium Ion Batteries

State of Charge Estimation of a Lithium Ion Battery Based on Adaptive Kalman Filter Method for an Equivalent Circuit Model

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