Precision Manufacturing of NaNi1/3Mn1/3Co1/3O2 Cathodes: Study of Structure Evolution and Performance at Varied Calcination Temperatures

Goyal, Ankit; Niu, Xiaodong; Le, Nam Phuong Pham; Huynh, Nguyen Thanh Le; Tran, Van Man; Le, My Loan Phung; Gao, Liang; Garg, Akhil

doi:10.1007/s11664-019-07340-1

Cited by 10 publications

(2 citation statements)

References 25 publications

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“…e open-circuit voltage (OCV) of NaCMO, NaNMO, and NaFMO were 2.50, 2.44, and 2.38 V, respectively. is agrees with the previous study [30], which reports the OCV of about 2.5 V vs. Na + /Na for P2-type layered structures. In the first charge, there were 0.24, 0.27, and 0.33 Na + ion extracted from NaCMO, NaNMO, and NaFMO electrodes, respectively.…”

Section: Electrochemical Behaviors Cyclic Voltammetry (Cv)supporting

confidence: 94%

Effect of 3D Metal on Electrochemical Properties of Sodium Intercalation Cathode P2-NaxMe1/3Mn2/3O2 (M = Co, Ni, or Fe)

Huynh

Phan

et al. 2021

Journal of Chemistry

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This research aims to evaluate the influence of different 3D metals (Fe, Co, and Ni) substituted to Mn on the electrochemical performance of P2-NaxMe1/3Mn2/3O2 material, which was synthesized by the coprecipitation process followed by calcination at high temperature. X-ray diffraction (XRD) results revealed that the synthesized Mn-rich materials possessed a P2-type structure with a negligible amount of oxide impurities. The materials possessed their typical cyclic voltammogram and charge-discharge profiles; indeed, a high reversible redox reaction was obtained by NaxCo1/3Mn2/3O2 sample. Both NaxCo1/3Mn2/3O2 and NaxFe1/3Mn2/3O2 provided a high specific capacity of above 140 mAh·g−1; however, the former showed better cycling performance with 83% capacity retention after 50 cycles at C/10 and high rate capability. Meanwhile, the Ni-sub NaxNi1/3Mn2/3O2 exhibited excellent cycling stability but a low specific capacity of 110 mAh·g−1 and inferior rate capability. The diffusion coefficient of Na+ ions into the structure tended to decrease with a depth of discharge; those values were in the range of 10−10–10−9 cm2·s−1 and 10−11–10−10 cm2·s−1 in the solid solution region and biphasic region, respectively.

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Section: Electrochemical Behaviors Cyclic Voltammetry (Cv)supporting

confidence: 94%

Effect of 3D Metal on Electrochemical Properties of Sodium Intercalation Cathode P2-NaxMe1/3Mn2/3O2 (M = Co, Ni, or Fe)

Huynh

Phan

et al. 2021

Journal of Chemistry

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“…The support vector regression (SVR) algorithm was used to predict and model the preparation process of SIB cathode material. Figure 2 shows the methodology used to optimize the capacity of Na‐ion batteries 110,111 . The preparation of cathode materials of SIBs was divided into three stages: gel formation stage, decomposition stage, and calcination stage.…”

Section: Research Methodology and Resultsmentioning

confidence: 99%

Intelligent optimization methodology of battery pack for electric vehicles: A multidisciplinary perspective

Garg

Xiao

et al. 2020

Int J Energy Res

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Past studies focused on proposing new materials for batteries components, state of health (SOH) prediction, thermal design, equivalent circuit modeling, and so on. Those studies have been implemented on individual basis on a single battery or battery pack. However, there is hardly any research found that encompasses all the multidisciplinary aspects (such as materials, SOH, intelligent configuration [assembly], thermal design, mechanical safety, and recycling of materials and pack) simultaneously for the battery pack design of electric vehicles. This research article proposes a synthetic methodology for an advanced design of battery pack and its components by incorporating optimal scenario of materials selection for battery electrodes, SOH estimation, configurations (assembly) of cells, thermal (air and liquid cooling) design, battery pack casing mechanical safety, and recycling aspects of battery and battery pack. The problem is divided into the several parts and methodology for each is proposed. Cumulative advantages of the methodology with six future critical directions are discussed in the end.

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Optimization of process conditions for maximum metal recovery from spent zinc‐manganese batteries: Illustration of statistical based automated neural network approach

Ruhatiya

Wang

et al. 2020

Energy Storage

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Recovery of the vital metals from spent batteries using bioleaching is one of the commonly used method for recycling of spent batteries. In this study, a statistical based automated neural network approach is proposed for determination of optimum input parameters values in bioleaching of zinc‐manganese batteries. Experiments are performed to measure the recovery of zinc and manganese based on the input parameters such as energy substrates concentration, pH control of bioleaching media, incubating temperature, and pulp density. It was found that the proposed model based metal extraction models precisely estimated the yields of zinc and manganese with higher values of coefficient of determination of 0.94. Based on global sensitivity analysis, it was found that for the extraction of zinc, the most contributing parameters are pulp density and pH while for extraction of Mn the most contributing parameters are pulp density and incubating temperature. The optimum parameter values for maximum recovery of zinc and maximum recovery of manganese are determined using optimization method of simulated annealing. The optimum parameter values obtained for maximum recovery of Zn metal are as substrates concentration 32 g/L, pH 1.9 to 2.0, incubating temperature 30°C, pulp density 10%, and substrates concentration 32 g/L, pH 2.0, incubating temperature 35°C, pulp density 8% for maximum recovery of Mn.

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Precision Manufacturing of NaNi1/3Mn1/3Co1/3O2 Cathodes: Study of Structure Evolution and Performance at Varied Calcination Temperatures

Cited by 10 publications

References 25 publications

Effect of 3D Metal on Electrochemical Properties of Sodium Intercalation Cathode P2-NaxMe1/3Mn2/3O2 (M = Co, Ni, or Fe)

Effect of 3D Metal on Electrochemical Properties of Sodium Intercalation Cathode P2-NaxMe1/3Mn2/3O2 (M = Co, Ni, or Fe)

Intelligent optimization methodology of battery pack for electric vehicles: A multidisciplinary perspective

Optimization of process conditions for maximum metal recovery from spent zinc‐manganese batteries: Illustration of statistical based automated neural network approach

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