Enabling a high-performance saltwater Al-air battery via ultrasonically driven electrolyte flow

电解质 电池(电) 功率密度 材料科学 体积流量 超声波传感器 比能量 体积热力学 毛细管作用 工作(物理) 流量(数学) 化学 功率(物理) 机械 复合材料 机械工程 热力学 电极 声学 物理 工程类 物理化学
作者
Huiyu Huang,Pengzhan Liu,Qiuxia Ma,Zihao Tang,Mu Wang,Junhui Hu
出处
期刊:Ultrasonics Sonochemistry [Elsevier BV]
卷期号:88: 106104-106104 被引量:8
标识
DOI:10.1016/j.ultsonch.2022.106104
摘要

As an emerging battery technology, the Al-air flow battery (AAFB) exhibits high energy density due to the recycling of electrolytes, thus showing great potential as a type of clean and sustainable energy storage system. Conventionally, it employs an external mechanical pump to recycle the electrolyte. In this work, the saltwater AAFB in which the electrolyte is recycled by the ultrasonic capillary effect (rather than a mechanical pump) and the reaction chamber is agitated by ultrasonic vibration, is proposed and investigated. Our numerical simulations show that a travelling ultrasonic wave in the electrolyte flow system causes the capillary flow and agitation. The experimental results show that the percentage increase of the peak power density (relative to that with static electrolyte) can be up to about 7.5 times of that with the electrolyte flow driven by a mechanical pump, under the same electrolyte flow rate and concentration (3.3 ml min−1 and 3 M NaCl). The optimal peak power density, which can be achieved by optimizing the reaction chamber thickness, electrolyte concentration and ultrasonic vibration velocity, is 43.88 mW cm−2. This work illustrates that the acoustofluidic method can not only improve the discharge performance of the saltwater AAFB effectively, but also greatly decrease the energy consumption, weight and volume of the electrolyte driving unit of the AAFB. In addition, analyses based on experimental results show that the energy gain of a series/parallel battery system formed by multiple identical cells can be larger than one, if the number of cells in the system is large enough.

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
DOGDAD完成签到,获得积分10
刚刚
牛小浓发布了新的文献求助10
刚刚
友好的储发布了新的文献求助10
刚刚
烟花应助木木夕云采纳,获得10
刚刚
1秒前
1秒前
suer完成签到 ,获得积分10
1秒前
lyy完成签到,获得积分10
2秒前
墨1234lr完成签到,获得积分10
2秒前
actor2006发布了新的文献求助10
3秒前
3秒前
3秒前
ljh发布了新的文献求助10
3秒前
freedommm完成签到,获得积分10
4秒前
4秒前
4秒前
4秒前
Lumina发布了新的文献求助10
4秒前
科研通AI6.3应助Jeremy采纳,获得10
5秒前
睡个大觉完成签到,获得积分10
5秒前
汉堡包应助饼饼采纳,获得10
5秒前
6秒前
尹尹尹发布了新的文献求助10
6秒前
FashionBoy应助受伤雅琴采纳,获得10
6秒前
freedommm发布了新的文献求助30
7秒前
7秒前
YMing发布了新的文献求助10
7秒前
7秒前
8秒前
9秒前
Inga发布了新的文献求助10
9秒前
10秒前
简单平蓝发布了新的文献求助10
10秒前
10秒前
Keory努力要自律完成签到,获得积分10
11秒前
天真的鼠标完成签到,获得积分20
12秒前
WD发布了新的文献求助10
12秒前
Arthur完成签到,获得积分10
13秒前
13秒前
风趣的白翠完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Instituting Science: The Cultural Production of Scientific Disciplines 666
Signals, Systems, and Signal Processing 610
The Organization of knowledge in modern America, 1860-1920 / 600
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6360362
求助须知:如何正确求助?哪些是违规求助? 8174581
关于积分的说明 17218249
捐赠科研通 5415454
什么是DOI,文献DOI怎么找? 2865934
邀请新用户注册赠送积分活动 1843138
关于科研通互助平台的介绍 1691313