Local State-of-Charge Mapping of Lithium-Ion Battery Electrodes

Jagjit Nanda; Jeffrey Remillard; Ann ONeill; Dawn Bernardi; Tina Ro; Kenneth E. Nietering; Joo-Young Go; Ted . Miller

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Local State-of-Charge Mapping of Lithium-Ion Battery Electrodes

机译：锂离子电池电极的局部充电状态映射

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Current lithium-ion battery technology is gearing towards meeting the robust demand of power and energy requirements for all-electric transportation without compromising on the safety, performance, and cycle life. The state-of-charge (SOC) of a Li-ion cell can be a macroscopic indicator of the state-of-health of the battery. The microscopic origin of the SOC relates to the local lithium content in individual electrode particles and the effective ability of Li-ions to transport or shuttle between the redox couples through the cell geometric boundaries. Herein, micrometer-resolved Raman mapping of a transition-metal-based oxide positive electrode, Li_(1_x)(Ni_yCo_zAI_(1_y_z))O_2, maintained at different SOCs, is shown. An attempt has been made to link the underlying changes to the composition and structural integrity at the individual particle level. Furthermore, an SOC distribution at macroscopic length scale of the electrodes is presented.

机译：当前的锂离子电池技术正致力于满足全电动运输对功率和能量需求的强劲需求，同时又不影响安全性，性能和循环寿命。锂离子电池的荷电状态（SOC）可以是电池健康状态的宏观指标。 SOC的微观起源与单个电极颗粒中的局部锂含量以及锂离子在氧化还原对之间通过电池几何边界传输或穿梭的有效能力有关。在此，示出了维持在不同SOC下的基于过渡金属的氧化物正极Li_（1_x）（Ni_yCo_zAl_（1_y_z））O_2的微米分辨拉曼映射。尝试将潜在的变化与单个颗粒级别的组成和结构完整性相关联。此外，呈现了在电极的宏观长度尺度上的SOC分布。

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《Advanced Functional Materials》 |2011年第17期|p.3282-3290|共9页
作者
Jagjit Nanda; Jeffrey Remillard; Ann ONeill; Dawn Bernardi; Tina Ro; Kenneth E. Nietering; Joo-Young Go; Ted . Miller;
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Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge TN USA;

Research and Advanced Engineering Ford Motor Co., Dearborn Ml 48121 USA;

Research and Advanced Engineering Ford Motor Co., Dearborn Ml 48121 USA;

Research and Advanced Engineering Ford Motor Co., Dearborn Ml 48121 USA;

Research and Advanced Engineering Ford Motor Co., Dearborn Ml 48121 USA;

Research and Advanced Engineering Ford Motor Co., Dearborn Ml 48121 USA;

SB LiMotive, R&D team 428-5, Gongse-dong, Giheung-gu, Yongin-si, Cyeonggi-do South Korea 446-577;

Research and Advanced Engineering Ford Motor Co., Dearborn Ml 48121 USA;

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机译：使用无味递归三步滤波器无需电流测量即可估算锂离子电池的充电状态
5. State-of-Charge Estimation of the Lithium-Ion Battery Using Neural Network Based on an Improved Thevenin Circuit Model [D] . Zhang, Haoliang. 2018

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6. Water-Based Electrode Manufacturing and Direct Recycling of Lithium-Ion Battery Electrodes—A Green and Sustainable Manufacturing System [O] . Jianlin Li, Yingqi Lu, Tairan Yang, 2020

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机译：基于局部线性化的卡尔曼滤波器估算锂离子电池的充电状态

Local State-of-Charge Mapping of Lithium-Ion Battery Electrodes

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