A kinetic descriptor to optimize Co-precipitation of Nickel-rich cathode precursors for Lithium-ion batteries

Lee, Seon Hwa; Kwon, Ki Young; Choi, Byeong Kil; Yoo, Hyun Deog

doi:10.1016/j.jelechem.2022.116828

Cited by 6 publications

(6 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LiNi 0.8 Co 0.1 Mn 0.1 O 2 (NCM) was synthesized by coprecipitation and subsequent calcination following the method described in detail elsewhere . In brief, the precursor of NCM was coprecipitated in a continuous stirred-tank reactor (CSTR) at 50 °C using 1 M ammonia solution as the base solution.…”

Section: Methodsmentioning

confidence: 99%

“…Li-Ni 0.8 Co 0.1 Mn 0.1 O 2 (NCM) was synthesized by coprecipitation and subsequent calcination following the method described in detail elsewhere. 25 In brief, the precursor of NCM was coprecipitated in a continuous stirred-tank reactor (CSTR) at 50 °C using 1 M ammonia solution as the base solution. The stoichiometric metal solution was fed into the reactor at a flow rate of 4 mL/min, and 1 M ammonia solution was fed as a complexing agent at a flow rate of 2 mL/min; pH was controlled to 11 using sodium hydroxide solution.…”

Section: ■ Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Entropymetry of Active Materials for Li-Ion Batteries

Kang,

Jeong,

Choi

et al. 2024

J. Phys. Chem. C

View full text Add to dashboard Cite

Batteries' performance and safety depend on the thermodynamic properties of active materials. Electrochemical measurements provide an effective way to determine the thermodynamic properties of batteries. For example, the open-circuit voltage (OCV) of an electrochemical cell is a direct measure of the Gibbs free energy (ΔG) as a function of the state of charge (SoC). Moreover, electrochemical entropymetry determines the reaction entropy (ΔS) of an electrochemical cell from the temperature dependency of the OCV. Considering that the reaction enthalpy (ΔH) is derived from those ΔG and ΔS values, entropymetry is a nondestructive tool to study the complete thermodynamic properties of lithium-ion batteries (LIBs) in depth. Herein, we conduct the entropymetry analysis of the following representative active materials for LIBs: LiCoO 2 , LiNi 0.8 Co 0.1 Mn 0.1 O 2 , LiMn 2 O 4 , and graphite. Among various methods of measuring the reaction entropy, temperature scanning at 1 °C min −1 enables reliable measurements on an efficient time scale. Also, we discuss the method to accurately determine the reaction entropy of active materials using the coin-type half-cell by compensating the reaction entropy of the lithium metal deposition reaction. The reaction entropy is directly related to the reversible heat, which must be considered for the heat management of LIBs.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Entropymetry of Active Materials for Li-Ion Batteries

Kang,

Jeong,

Choi

et al. 2024

J. Phys. Chem. C

View full text Add to dashboard Cite

show abstract

“…The development of new cathode materials and the enhancement of the morphological properties of cathode material particles can both improve battery performance due to the cathode material typically determines the energy density of lithium-ion batteries [ 49 ]. Nickel-rich cathode materials have received much academic attention due to their high energy density but low-cost advantages [ 50 ]. Improving the preparation of its precursors over the process has a significant impact on optimizing the performance of nickel-rich cathode materials [ 42 , 50 ].…”

Section: Donations Of Descriptors In Li-cells’ Performance Improvemen...mentioning

confidence: 99%

“…Nickel-rich cathode materials have received much academic attention due to their high energy density but low-cost advantages [ 50 ]. Improving the preparation of its precursors over the process has a significant impact on optimizing the performance of nickel-rich cathode materials [ 42 , 50 ]. Co-precipitation is currently used as the dominant process to produce nickel-rich cathode material precursors due to its ability to provide secondary particles with a homogeneous composition consisting of highly crystalline primary particles.…”

Section: Donations Of Descriptors In Li-cells’ Performance Improvemen...mentioning

confidence: 99%

Materials descriptors of machine learning to boost development of lithium-ion batteries

Wang,

Zhang

et al. 2024

Nano Convergence

View full text Add to dashboard Cite

Traditional methods for developing new materials are no longer sufficient to meet the needs of the human energy transition. Machine learning (ML) artificial intelligence (AI) and advancements have caused materials scientists to realize that using AI/ML to accelerate the development of new materials for batteries is a powerful potential tool. Although the use of certain fixed properties of materials as descriptors to act as a bridge between the two separate disciplines of AI and materials chemistry has been widely investigated, many of the descriptors lack universality and accuracy due to a lack of understanding of the mechanisms by which AI/ML operates. Therefore, understanding the underlying operational mechanisms and learning logic of AI/ML has become mandatory for materials scientists to develop more accurate descriptors. To address those challenges, this paper reviews previous work on AI, machine learning and materials descriptors and introduces the basic logic of AI and machine learning to help materials developers understand their operational mechanisms. Meanwhile, the paper also compares the accuracy of different descriptors and their advantages and disadvantages and highlights the great potential value of accurate descriptors in AI/machine learning applications for battery research, as well as the challenges of developing accurate material descriptors. Graphical Abstract

show abstract

“…The primary raw materials for synthesizing high-nickel cathode materials are a precursor and lithium salt, with the former requiring customized synthesis according to the performance requirements of the high-nickel cathodes. Currently, the most common method for synthesizing precursors in research and industrial applications is co-precipitation [85][86][87][88][89][90][91][92][93][94][95][96][97][98][99]. This method controls the parameters of reaction pH, reaction temperature, solid content, salt concentration and flow rate, ammonia concentration and flow rate, alkali concentration and flow rate, impeller structure, stirring speed, reaction atmosphere, and reaction mode and utilizes aggregation, dissolution, and recrystallization to synthesize precursors with a specific morphology, particle size, particle size distribution, tap density, specific surface area, and impurity content, among other indicators.…”

Section: Regulation Of Growth Orientation Of Precursormentioning

confidence: 99%

High-Performance High-Nickel Multi-Element Cathode Materials for Lithium-Ion Batteries

Tian,

Guo,

Bai

et al. 2023

Batteries

View full text Add to dashboard Cite

With the rapid increase in demand for high-energy-density lithium-ion batteries in electric vehicles, smart homes, electric-powered tools, intelligent transportation, and other markets, high-nickel multi-element materials are considered to be one of the most promising cathode candidates for large-scale industrial applications due to their advantages of high capacity, low cost, and good cycle performance. In response to the competitive pressure of the low-cost lithium iron phosphate battery, high-nickel multi-element cathode materials need to continuously increase their nickel content and reduce their cobalt content or even be cobalt-free and also need to solve a series of problems, such as crystal structure stability, particle microcracks and breakage, cycle life, thermal stability, and safety. In this regard, the research progress of high-nickel multi-element cathode materials in recent years is reviewed and analyzed, and the progress of performance optimization is summarized from the aspects of precursor orientational growth, bulk phase doping, surface coating, interface modification, crystal morphology optimization, composite structure design, etc. Finally, according to the industrialization demand of high-energy-density lithium-ion batteries and the challenges faced by high-nickel multi-element cathode materials, the performance optimization direction of high-nickel multi-element cathode materials in the future is proposed.

show abstract

A kinetic descriptor to optimize Co-precipitation of Nickel-rich cathode precursors for Lithium-ion batteries

Cited by 6 publications

References 56 publications

Entropymetry of Active Materials for Li-Ion Batteries

Entropymetry of Active Materials for Li-Ion Batteries

Materials descriptors of machine learning to boost development of lithium-ion batteries

High-Performance High-Nickel Multi-Element Cathode Materials for Lithium-Ion Batteries

Contact Info

Product

Resources

About