Wang Qidi, Zhao Chenglong, Wagemaker Marnix
Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Shenzhen Key Lab of Energy Materials for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Acc Chem Res. 2025 Jun 3;58(11):1742-1753. doi: 10.1021/acs.accounts.5c00074. Epub 2025 May 20.
ConspectusLayered transition metal (TM) compounds are pivotal in the development of rechargeable battery technologies for efficient energy storage. The history of these materials dates back to the 1970s, when the concept of intercalation chemistry was introduced into the battery. This process involves the insertion of alkali-metal ions between the layers of a host material (e.g., TiS) without causing significant structural disruption. This breakthrough laid the foundation for Li-ion batteries, with materials like LiCoO becoming key to their commercial success, thanks to their high energy density and good stability. However, despite these advantages, challenges remain in the broader application of these materials in batteries. Issues such as lattice strain, cation migration, and structural collapse result in rapid capacity degradation and a reduction in battery lifespan. Moreover, the performance of batteries is often constrained by the properties of the available materials, particularly in layered oxide materials. This has driven the exploration of materials with diverse compositions. The relationship between composition and structural chemistry is crucial for determining reversible capacity, redox activity, and phase transitions, yet predicting this remains a significant challenge, especially for complex compositions.In this Account, we outline our efforts to explore rational principles for optimal battery materials that offer a higher performance. The core of this is the concept of ionic potential, a parameter that measures the strength of the electrostatic interaction between ions. It is defined as the ratio of an ion's charge to its ionic radius, offering a quantitative way to evaluate interactions between cations and anions in crystal structures. By building on this concept, we introduce the cationic potential, which is emerging as a crystallographic tool that captures critical interactions within layered oxide materials. This approach provides insights into structural organization, enabling the prediction of P2- and O3-type stacking arrangements in layered oxides. A key advantage of using the cationic potential is its ability to guide the rational design of electrode materials with improved performance. For example, introducing P-type structural motifs into the material framework can significantly enhance ion mobility, mitigating detrimental phase transitions that often compromise battery efficiency and longevity. Furthermore, ionic potential serves as a representative parameter to quantitatively describe the properties of various TM compositions, providing a straightforward calculation method for designing multielement systems. We anticipate that this Account will provide fundamental insights and contribute to significant advancements in the design of layered materials, not only for battery applications but also for broader fields that require control of the material properties.
综述
层状过渡金属(TM)化合物在用于高效储能的可充电电池技术发展中起着关键作用。这些材料的历史可以追溯到20世纪70年代,当时插层化学的概念被引入到电池领域。这个过程涉及到碱金属离子插入主体材料(如TiS)的层间,而不会引起显著的结构破坏。这一突破为锂离子电池奠定了基础,像LiCoO这样的材料因其高能量密度和良好的稳定性成为其商业成功的关键。然而,尽管有这些优点,这些材料在电池中的更广泛应用仍存在挑战。诸如晶格应变、阳离子迁移和结构坍塌等问题导致容量迅速下降和电池寿命缩短。此外,电池的性能往往受到可用材料性能的限制,特别是在层状氧化物材料中。这推动了对具有不同组成的材料的探索。组成与结构化学之间的关系对于确定可逆容量、氧化还原活性和相变至关重要,但预测这一点仍然是一个重大挑战,特别是对于复杂的组成。在本综述中,我们概述了我们为探索具有更高性能的最佳电池材料的合理原则所做的努力。其核心是离子势的概念,这是一个衡量离子间静电相互作用强度的参数。它被定义为离子电荷与其离子半径的比值,提供了一种定量评估晶体结构中阳离子和阴离子之间相互作用的方法。基于这个概念,我们引入了阳离子势,它正成为一种晶体学工具,能够捕捉层状氧化物材料中的关键相互作用。这种方法为结构组织提供了见解,能够预测层状氧化物中的P2型和O3型堆叠排列。使用阳离子势的一个关键优势是它能够指导合理设计性能更优的电极材料。例如,将P型结构基序引入材料框架可以显著提高离子迁移率,减轻通常会损害电池效率和寿命的有害相变。此外,离子势作为一个代表性参数,用于定量描述各种TM组成的性质,为设计多元素系统提供了一种直接的计算方法。我们预计本综述将提供基本见解,并为层状材料的设计取得重大进展做出贡献,不仅适用于电池应用,也适用于需要控制材料性能的更广泛领域。