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储能系统技术 储能系统 ★ 5.0

通过双阴离子建模探索改进铝离子电池的新策略

Exploring new strategies for improved aluminium-ion batteries through dual-anion modeling

作者 Hao Huang · Ze Yanga · Ziqi Chena · Xuqi Wanga · Zichuan Lva · Xiao Lua · Fangcheng Qiub · Mian Caia · Huiping Dua · Yaqun Wanga
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 401 卷
技术分类 储能系统技术
技术标签 储能系统
相关度评分 ★★★★★ 5.0 / 5.0
关键词 A for AIBs' dual-anion properties was developed to optimize battery performance and enhance energy management.
语言:

中文摘要

摘要 铝离子电池(AIBs)具有高容量、安全性以及环境可持续性等诸多优势,被视为移动电源和储能应用领域中极具前景的技术解决方案。然而,过量电解质的使用会降低能量密度,且大容量电池存在热不稳定性问题,这些因素严重阻碍了其大规模应用。AIBs的能量存储机制涉及在氯铝酸盐离子液体电解质中,金属铝(Al)在负极的可逆沉积/溶解过程,以及AlCl₄⁻在石墨正极的嵌入/脱嵌过程。这些电化学反应导致两种阴离子(AlCl₄⁻ 和 Al₂Cl₇⁻)浓度发生动态变化,进而影响电解质的导电性、扩散系数以及电池的极化行为。这种独特的双阴离子特性为理解电池的工作机理和研究其内部状态带来了挑战,而这些正是开发高性能AIBs的关键因素。基于大量几何、动力学和热力学数据,本文推导并计算了两种阴离子的行为特征。我们首次建立了一种具有双阴离子特性的AIBs电化学模型,能够以低于0.38%的模拟误差精确模拟电池电势等外部与内部状态,如温度,并优化了正极材料与电解质的质量比为1.85:1。此外,该构建的AIBs模型进一步探索了一种新型策略,可用于改善电池管理系统,提升运行效率与热管理性能,并为电池结构的进一步优化提供了理论基础。

English Abstract

Abstract Aluminium-ion batteries (AIBs) offer numerous advantages, including high capacity, safety, and environmental sustainability, positioning them as a promising technological solution for mobile power and energy storage applications. Nevertheless, the effect of excess electrolytes reduces energy density, and the thermal instability of large-capacity batteries represents a major obstacle to large-scale applications. The energy storage mechanism of AIBs involves the reversible deposition/dissolution of metallic aluminium (Al) at the anode within a chloroaluminate ionic liquid electrolyte, coupled with the intercalation/deintercalation of AlCl 4 − at the graphite cathode. These processes lead to dynamic changes in the concentrations of two anions (AlCl 4 − and Al 2 Cl 7 − ), which in turn affect conductivity, diffusion coefficients, and battery polarization. This unique dual-anion property presents challenges for understanding the operating mechanisms and studying the internal states, both of which are critical factors for developing high-performance AIBs. Based on extensive geometric, kinetic and thermodynamic data, derive and calculate the behavior of the two anions. We have pioneered an AIBs electrochemical model with dual-anion characteristics which can accurately simulate the external and internal states such as battery potential with a simulation error of less than 0.38 % , temperature and optimize the mass ratio of the cathode material to electrolyte at 1.85:1. In addition, this constructed AIBs model explores a novel strategy to improve the battery management system, increase the operation efficiency and thermal management, and create a theoretical basis for further optimization of the battery design.
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SunView 深度解读

该铝离子电池双阴离子电化学模型对阳光电源储能系统具有重要借鉴价值。其电池管理策略优化思路可应用于PowerTitan储能系统的BMS算法改进,通过精确模拟电池内部状态(仿真误差<0.38%)提升ST系列PCS的充放电控制精度。正负极材料质量比优化方法(1.85:1)可指导储能电芯设计,提高能量密度。热管理策略研究可增强大容量储能系统的温控能力,配合iSolarCloud平台实现预测性维护,提升储能系统运行效率与安全性。