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Xu H, Yang J, Niu Y, Hou X, Sun Z, Jiang C, Xiao Y, He C, Yang S, Li B, Chen W. Deciphering and Integrating Functionalized Side Chains for High Ion-Conductive Elastic Ternary Copolymer Solid-State Electrolytes for Safe Lithium Metal Batteries. Angew Chem Int Ed Engl 2024:e202406637. [PMID: 38880766 DOI: 10.1002/anie.202406637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 06/01/2024] [Accepted: 06/14/2024] [Indexed: 06/18/2024]
Abstract
A critical challenge in solid polymer lithium batteries is developing a polymer matrix that can harmonize ionic transportation, electrochemical stability, and mechanical durability. We introduce a novel polymer matrix design by deciphering the structure-function relationships of polymer side chains. Leveraging the molecular orbital-polarity-spatial freedom design strategy, a high ion-conductive hyperelastic ternary copolymer electrolyte (CPE) is synthesized, incorporating three functionalized side chains of poly-2,2,2-Trifluoroethyl acrylate (PTFEA), poly(vinylene carbonate) (PVC), and polyethylene glycol monomethyl ether acrylate (PEGMEA). It is revealed that fluorine-rich side chain (PTFEA) contributes to improved stability and interfacial compatibility; the highly polar side chain (PVC) facilitates the efficient dissociation and migration of ions; the flexible side chain (PEGMEA) with high spatial freedom promotes segmental motion and interchain ion exchanges. The resulting CPE demonstrates an ionic conductivity of 2.19×10-3 S cm-1 (30 °C), oxidation resistance voltage of 4.97 V, excellent elasticity (2700 %), and non-flammability. The outer elastic CPE and the inner organic-inorganic hybrid SEI buffer intense volume fluctuation and enable uniform Li+ deposition. As a result, symmetric Li cells realize a high CCD of 2.55 mA cm-2 and the CPE-based Li||NCM811 full cell exhibits a high-capacity retention (~90 %, 0.5 C) after 200 cycles.
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Affiliation(s)
- Hongfei Xu
- School of Materials Science & Engineering, Beihang University, Beijing, 100191, China
| | - Jinlin Yang
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore
| | - Yuxiang Niu
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore
| | - Xunan Hou
- Department of Materials Science and Engineering. National University of Singapore, 7 Engineering Drive 1, Singapore, 117574, Singapore
| | - Zejun Sun
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore
| | - Chonglai Jiang
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou, 350207, P. R. China
| | - Yukun Xiao
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou, 350207, P. R. China
| | - Chaobin He
- Department of Materials Science and Engineering. National University of Singapore, 7 Engineering Drive 1, Singapore, 117574, Singapore
| | - Shubin Yang
- School of Materials Science & Engineering, Beihang University, Beijing, 100191, China
| | - Bin Li
- School of Materials Science & Engineering, Beihang University, Beijing, 100191, China
| | - Wei Chen
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore
- Joint School of National University of Singapore and Tianjin University, International Campus of Tianjin University, Binhai New City, Fuzhou, 350207, P. R. China
- Department of Physics, National University of Singapore, 2 Science Drive 3, 117542, Singapore
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Zheng Z, Zhou J, Zhu Y. Computational approach inspired advancements of solid-state electrolytes for lithium secondary batteries: from first-principles to machine learning. Chem Soc Rev 2024; 53:3134-3166. [PMID: 38375570 DOI: 10.1039/d3cs00572k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
The increasing demand for high-security, high-performance, and low-cost energy storage systems (EESs) driven by the adoption of renewable energy is gradually surpassing the capabilities of commercial lithium-ion batteries (LIBs). Solid-state electrolytes (SSEs), including inorganics, polymers, and composites, have emerged as promising candidates for next-generation all-solid-state batteries (ASSBs). ASSBs offer higher theoretical energy densities, improved safety, and extended cyclic stability, making them increasingly popular in academia and industry. However, the commercialization of ASSBs still faces significant challenges, such as unsatisfactory interfacial resistance and rapid dendrite growth. To overcome these problems, a thorough understanding of the complex chemical-electrochemical-mechanical interactions of SSE materials is essential. Recently, computational methods have played a vital role in revealing the fundamental mechanisms associated with SSEs and accelerating their development, ranging from atomistic first-principles calculations, molecular dynamic simulations, multiphysics modeling, to machine learning approaches. These methods enable the prediction of intrinsic properties and interfacial stability, investigation of material degradation, and exploration of topological design, among other factors. In this comprehensive review, we provide an overview of different numerical methods used in SSE research. We discuss the current state of knowledge in numerical auxiliary approaches, with a particular focus on machine learning-enabled methods, for the understanding of multiphysics-couplings of SSEs at various spatial and time scales. Additionally, we highlight insights and prospects for SSE advancements. This review serves as a valuable resource for researchers and industry professionals working with energy storage systems and computational modeling and offers perspectives on the future directions of SSE development.
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Affiliation(s)
- Zhuoyuan Zheng
- School of Energy Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu Province 211816, China.
| | - Jie Zhou
- School of Energy Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu Province 211816, China.
| | - Yusong Zhu
- School of Energy Science and Engineering, Nanjing Tech University, Nanjing, Jiangsu Province 211816, China.
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Ma J, Wang J, Jia K, Liang Z, Ji G, Ji H, Zhu Y, Chen W, Cheng HM, Zhou G. Subtractive transformation of cathode materials in spent Li-ion batteries to a low-cobalt 5 V-class cathode material. Nat Commun 2024; 15:1046. [PMID: 38316784 PMCID: PMC10844610 DOI: 10.1038/s41467-024-45091-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/15/2024] [Indexed: 02/07/2024] Open
Abstract
Adding extra raw materials for direct recycling or upcycling is prospective for battery recycling, but overlooks subtracting specific components beforehand can facilitate the recycling to a self-sufficient mode of sustainable production. Here, a subtractive transformation strategy of degraded LiNi0.5Co0.2Mn0.3O2 and LiMn2O4 to a 5 V-class disordered spinel LiNi0.5Mn1.5O4-like cathode material is proposed. Equal amounts of Co and Ni from degraded materials are selectively extracted, and the remaining transition metals are directly converted into Ni0.4Co0.1Mn1.5(CO3)2 precursor for preparing cathode material with in-situ Co doping. The cathode material with improved conductivity and bond strength delivers high-rate (10 C and 20 C) and high-temperature (60 °C) cycling stability. This strategy with no extra precursor input can be generalized to practical degraded black mass and reduces the dependence of current cathode production on rare elements, showing the potential of upcycling from the spent to a next-generation 5 V-class cathode material for the sustainable Li-ion battery industry.
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Affiliation(s)
- Jun Ma
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Junxiong Wang
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Kai Jia
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zheng Liang
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Guanjun Ji
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
- Frontiers Science Center for Transformative Molecules, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Haocheng Ji
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Yanfei Zhu
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Wen Chen
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China
| | - Hui-Ming Cheng
- Faculty of Materials Science and Energy Engineering/Institute of Technology for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen, 518055, China.
- Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Science, Shenyang, 110016, China.
| | - Guangmin Zhou
- Tsinghua-Berkeley Shenzhen Institute & Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.
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