Surface cleaning effect of NCM powder and improvement of lithium ion battery on the thermal stability and life cycle employing dielectric barrier discharge technique

Jeong, Hyun Young; Jung, Young‐Dae; Seok, Dong Chan; Yoo, Seungryul; Kwon, Sung Ku; Han, Duksun

doi:10.1016/j.cap.2018.05.015

Cited by 9 publications

(6 citation statements)

References 17 publications

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“…As shown in Table 5, the contents of Ni 2+ occupied in Li + site of NCM811‐PC and NCM811‐SC are 0.01224 and 0.01163 mol, respectively and Li + occupied in Ni 2+ site is 0.00362 and 0 mol, respectively. The cation exchange of Li + and Ni 2+ will lead to the deterioration of crystal structure, even reduce the thermal decomposition temperature of materials 40‐43 …”

Section: Resultsmentioning

confidence: 99%

“…The cation exchange of Li + and Ni 2+ will lead to the deterioration of crystal structure, even reduce the thermal decomposition temperature of materials. [40][41][42][43] In-situ XRD was performed to explore the crystal structure changes of NCM811-SC during heating from 20 C to 400 C, as shown in Figure 6. Compared with the structure changes of NCM811-PC cathode in Figure 3B, the NCM811-SC cathode also exhibited layered structure with R3m space group at 20 C. As the temperature rose to 100 C, the two cathode materials showed similar structural changes, with the disordered spinel (LiM 2 O 4 -type) structure with Fd3m space group 24,25 and the MO-type rock salt structure with the Fm3m space group appeared at 200 C. Quantitatively analysis of structure was further performed on the NCM811-PC and NCM811-SC during heating, as presented in Table 6.…”

Section: Thermal Runaway Behaviors Of Ncm811-pc and Ncm811-sc Batteriesmentioning

confidence: 99%

See 1 more Smart Citation

Correlation between thermal stabilities of nickel‐rich cathode materials and battery thermal runaway

Sun

Ren

Liu³

et al. 2021

Intl J of Energy Research

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Section: Resultsmentioning

confidence: 99%

Section: Thermal Runaway Behaviors Of Ncm811-pc and Ncm811-sc Batteriesmentioning

confidence: 99%

Correlation between thermal stabilities of nickel‐rich cathode materials and battery thermal runaway

Sun

Ren

Liu³

et al. 2021

Intl J of Energy Research

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“…2-4 were predicted. Generally, the failure of a battery is defined when its capacity is deteriorated by 70% [25][26][27]. However, in this paper, the failure of battery is reached when battery capacity is deteriorated by 25%; that is, when SOH = 75%, the failure of battery occurs.…”

Section: Prediction Of the Lithium Battery Cycle Life Based On The Wamentioning

confidence: 92%

Probabilistic Prediction Algorithm for Cycle Life of Energy Storage in Lithium Battery

Wang

Gao

Sun

2019

WEVJ

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Lithium batteries are widely used in energy storage power systems such as hydraulic, thermal, wind and solar power stations, as well as power tools, military equipment, aerospace and other fields. The traditional fusion prediction algorithm for the cycle life of energy storage in lithium batteries combines the correlation vector machine, particle filter and autoregressive model to predict the cycle life of lithium batteries, which are subjected to many uncertainties in the prediction process and to inaccurate prediction results. In this paper, a probabilistic prediction algorithm for the cycle life of energy storage in lithium batteries is proposed. The LS-SVR prediction model was trained by a Bayesian three-layer reasoning. In the iterative prediction phase, the Monte Carlo method was used to express and manage the uncertainty and its transitivity in a multistep prediction and to predict the future trend of a lithium battery's health status. Based on the given failure threshold, the probability distribution of the residual life was obtained by counting the number of particles passing through the threshold. The wavelet neural network was used to study the sample data of lithium batteries, and the mapping relationship between the probability distribution of the residual life of lithium batteries and the unknown values were established. According to this mapping relation and the probability distribution of the residual life of lithium batteries, the health data could be deduced and then iterated into the input of the wavelet neural network. In this way, the predicted degradation curve and the cycle life of lithium batteries could be obtained. The experimental results show that the proposed algorithm has good adaptability and high prediction efficiency and accuracy, with the mean error of 0.17 and only 1.38 seconds by average required for prediction.World Electric Vehicle Journal 2019, 10, 7 2 of 17 directly measured but needs to be estimated in advance to decide whether to replace the battery to avoid some unnecessary events. The performance of batteries can be divided into two categories: electrical performance and reliability. Battery life is one of the important indicators to measure the electrical performance of batteries. Charge-discharge cycles include a charge operation and a discharge operation. The number of charge-discharge cycles that a battery can carry out while maintaining a certain output capacity is called the cycle life (service life) of the battery. For energy storage batteries, it is generally believed that the life of the battery is terminated when the available capacity of the battery decreases to 70% of the initial level [4]. Battery life includes cycle life and calendar life, where the former refers to the number of cycles of the battery from a certain charging and discharging system to the end of life and the latter refers to the time required for the battery to be stored in a certain state until the end of life. There are many complex physical and chemical reactions in the charge and discha...

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“…As mentioned before, the coating materials used in Ni‐rich materials include inorganics, organics, and some composite coating materials. For inorganics, the coating materials in recent works mainly include metal oxides (ZnO, [ 33 ] TiO 2 , [ 33‐37 ] Al 2 O 3 , [ 30,33,38‐42 ] ZrO 2 , [ 38,43‐46 ] Nb 2 O 3 , [ 47 ] Co 3 O 4 , [ 33,48 ] Cr 8 O 21 , [ 49 ] MgO, [ 38 ] MnO 2 , [ 50,51 ] V 2 O 3 , [ 33 ] and V 2 O 5 [ 52 ] ), metal fluorides (LiF, [ 53‐55 ] AlF 3 , [ 54,56 ] and FeF 3 [ 57 ] ), metal phosphates (LaPO 4 , [ 58‐60 ] FePO 4 , [ 61‐63 ] CoPO 4 , [ 62,63 ] AlPO 4 , [ 40,62,64‐65 ] and MnPO 4 [ 63,66 ] ), and some kinds of lithium compounds (LiBO 2 , [ 67 ] LiAlO 2 , [ 40,41,68‐71 ] Li 2 MoO 4 , [ 72 ] Li 2 ZrO 3 , [ 43,73‐74 ] Li 3 VO 4 , [ 75‐76 ] Li 3 PO 4 , [ 77‐78 ] Li 2 SiO 3 , [ 79‐81 ] Li 4 SiO 4 , [ 82 ] Li x Ti 2 O 4 , [ 70 ] Li 4 Ti 5 O 12 , [ 83‐84 ] LiZr 2 (PO 4 ) 3 , [ 85 ] and LiAlF 4 [ 54 ] ) and carbon materials (traditional carbon materials, [ 86‐88 ] modified carbon materials, [ 89‐90 ] carbon nanotube materials, […”

Section: Applications Of Coating In Ni‐rich Materialsmentioning

confidence: 99%

“…Besides the dry solid mixing and liquid wet mixing methods, the vapor deposition coating method is another usual coating method applied in Ni‐rich materials. The gas‐phase coating methods include chemical vapor deposition method (CVD), [ 132 ] atomic layer deposition (ALD), [ 133‐134 ] dielectric barrier discharge technique, [ 55 ] pulsed laser deposition, [ 135 ] and so on. The vapor deposition method has unique advantages over liquid coating and solid coating methods.…”

Section: Applications Of Coating In Ni‐rich Materialsmentioning

confidence: 99%

Advances and Prospects of Surface Modification on Nickel‐Rich Materials for Lithium‐Ion Batteries^†

Chen

Lai

et al. 2020

Chin. J. Chem.

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Although layered Ni-rich cathode materials have attracted lots of attention for their high capacity and power density, several significant issues, such as poor thermal stability and moderate cyclability, limit their practical applications. Most of these undesired problems of Ni-rich materials are caused by the unstable surface or the parasitic reactions at cathode-electrolyte interface. Surface coating is the most common method to suppress such interfacial problems for Ni-rich materials. This review focuses on the surface engineering of the Ni-rich materials in recent years, including the species used in coating, synthetic strategies of uniform coating layer, and the positive effects of coating species on the active materials. Detailed discussions are also taken to describe the formation mechanism of the surface coating layer with design philosophy. Finally, the prospects for further developments and challenges in surface coating are also summarized. Yuefeng Su (left) is a professor in the School of Materials Science and Engineering at Beijing Institute of Technology (BIT). In 2013, he was awarded New Century Excellent Talents in University from the Chinese Ministry of Education. His research group mainly engaged in the research of green secondary batteries and advanced energy materials, including lithium-rich cathode materials, nickel-rich cathode materials and other high-power energy storage devices. As the principal investigator, Prof. Su successfully hosted the National Key Research and National Natural Science Foundation of China, etc. Gang Chen (middle) is currently a Ph.D. candidate under the supervision of Prof. Yuefeng Su in the School of Materials Science and Engineering at Beijing Institute of Technology. His major research includes the design and synthesis of Ni-rich cathode materials for high performance lithium ion batteries, especially for the interfacial design and its mechanism research of Ni-rich materials. Lai Chen (right) obtained his Ph.D. majoring in Environmental Engineering from Beijing Institute of Technology (BIT) in 2017, and is currently an associate professor at the school of Materials Science and Engineering at BIT. As the principal investigator, he has successfully hosted the

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Surface cleaning effect of NCM powder and improvement of lithium ion battery on the thermal stability and life cycle employing dielectric barrier discharge technique

Cited by 9 publications

References 17 publications

Correlation between thermal stabilities of nickel‐rich cathode materials and battery thermal runaway

Correlation between thermal stabilities of nickel‐rich cathode materials and battery thermal runaway

Probabilistic Prediction Algorithm for Cycle Life of Energy Storage in Lithium Battery

Advances and Prospects of Surface Modification on Nickel‐Rich Materials for Lithium‐Ion Batteries^†

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Surface cleaning effect of NCM powder and improvement of lithium ion battery on the thermal stability and life cycle employing dielectric barrier discharge technique

Cited by 9 publications

References 17 publications

Correlation between thermal stabilities of nickel‐rich cathode materials and battery thermal runaway

Correlation between thermal stabilities of nickel‐rich cathode materials and battery thermal runaway

Probabilistic Prediction Algorithm for Cycle Life of Energy Storage in Lithium Battery

Advances and Prospects of Surface Modification on Nickel‐Rich Materials for Lithium‐Ion Batteries†

Contact Info

Product

Resources

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Advances and Prospects of Surface Modification on Nickel‐Rich Materials for Lithium‐Ion Batteries^†