Memory Effects’ Mechanism in the Intercalation Batteries: The Particles’ Bipolarization

机制(生物学) 材料科学 电压 电荷(物理) 电池(电) 粒子(生态学) 化学物理 放松(心理学) 偶极子 荷电状态 机械 电气工程 热力学 物理 工程类 功率(物理) 地质学 海洋学 社会心理学 量子力学 心理学
作者
Amir Haghipour,Massoud Momeni,Hatef Yousefi‐Mashhour,Mohammad Mahdi Kalantarian
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:14 (7): 9249-9263 被引量:14
标识
DOI:10.1021/acsami.2c00472
摘要

To develop energy-storage devices, understanding their charge-discharge behaviors and their underlying mechanisms is mandatory. Memory effect (ME) is among the most important behaviors that should be understood, influencing the batteries' applications. In this paper, the intercalation batteries' ME and their features are justified and explained by employing the particles' bipolarization mechanism. Diffuse regions, located in both sides of the reactant/product phases, turn the particles into dipoles (bipolarized particles) during/after the processes. This bipolarization and subsequent neutralization can explain many charge-discharge behaviors, including the ME. Here, the mechanism explains and justifies all the known features and some aspects of the phenomena which have not been considered so far. According to the proposed mechanism, the aged-neutralized particles react later and in a higher voltage than the fresh-neutralized particles, causing a bump in the curve called the ME. It is the same mechanism that causes the increase in the charge voltage by increasing the open-circuit voltage rest time. Our experiments sufficiently verified the mechanism. In the paper, impacts of the average particle size, relaxation/rest time, discharge cutoff voltage of the memory-writing cycle (MWC), Li-mobility kinetics, current rate, state of charge, depth of discharge of the MWC, boundaries of the charge-discharge curve, and so forth are considered, and their influences on the ME are explained. This mechanism sheds light on the relevant characteristics of the batteries and helps design, tune, control, and engineer the behaviors.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
LP发布了新的文献求助10
刚刚
科研通AI2S应助stars采纳,获得10
1秒前
2秒前
悦耳凌柏发布了新的文献求助10
2秒前
朴实的乌龟完成签到,获得积分10
3秒前
尹妮妮发布了新的文献求助10
4秒前
小亮哈哈发布了新的文献求助10
4秒前
dyli发布了新的文献求助10
4秒前
思源应助十七采纳,获得10
6秒前
以菱完成签到 ,获得积分10
6秒前
6秒前
苔藓完成签到,获得积分10
7秒前
英姑应助uwu采纳,获得50
8秒前
渝州人应助李善聪采纳,获得10
8秒前
深情安青应助figshare采纳,获得10
8秒前
9秒前
10秒前
11秒前
明理友琴完成签到,获得积分10
11秒前
吾皇完成签到 ,获得积分10
13秒前
13秒前
小王发布了新的文献求助10
14秒前
研友_Zlepz8发布了新的文献求助10
14秒前
六斤米完成签到,获得积分10
14秒前
15秒前
16秒前
必毕业完成签到,获得积分20
16秒前
17秒前
爆米花应助潇洒的青易采纳,获得10
17秒前
琛哥物理完成签到,获得积分10
17秒前
17秒前
希望天下0贩的0应助苔藓采纳,获得10
18秒前
美满的小蘑菇完成签到 ,获得积分10
20秒前
十七发布了新的文献求助10
20秒前
Luobing完成签到,获得积分10
21秒前
只谈风月举报ssrrzz2222求助涉嫌违规
21秒前
21秒前
22秒前
dyli完成签到,获得积分10
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3543997
求助须知:如何正确求助?哪些是违规求助? 3121198
关于积分的说明 9346129
捐赠科研通 2819283
什么是DOI,文献DOI怎么找? 1550110
邀请新用户注册赠送积分活动 722375
科研通“疑难数据库(出版商)”最低求助积分说明 713174