Portable solar powered electricity supplies using recovered batteries

使用回收电池的便携式太阳能供电

• 批准号: EP/P510737/1
• 负责人: David Howey
• 金额: $ 9.73万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FP510737%2F1
• 关键词: Portable; solar; powered; electricity; supplies

Millions of functional rechargeable lithium ion batteries are disposed of each year. Some of these are recycled to recoverthe materials they are made of, but this is expensive and the recovered value is low. A better, and more sustainableapproach, is to identify those batteries that have remaining functional lifetimes and to use them in new applications. Thisproject is developing a process whereby these end of life batteries can be recovered, rapidly tested, and integrated intoportable, low cost, lightweight, solar cell (or grid) rechargeable power supply units that can be used to charge mobilephones and to power low energy lighting. There are around 600 million people globally with mobile phones that have noaccess to electricity at home. To charge them, they often have to walk for many hours to charging stations to connect theirphones to car battery-based chargers; a privilege for which there are high charges. The power supply units developed inthis project will provide low cost energy for phone charging and low energy lighting applications, using a circular economicapproach to the reuse of lithium ion batteries.

每年，数以百万计的功能性可充电锂离子电池被丢弃。其中一些会被回收，以回收制造它们的材料，但这很昂贵，回收的价值很低。一种更好、更可持续的方法是识别那些剩余功能寿命的电池，并在新的应用中使用它们。该项目正在开发一种工艺，通过该工艺，这些寿命结束的电池可以被回收、快速测试，并集成到可移植、低成本、重量轻的太阳能电池(或电网)可充电电源单元中，这些可充电电源可用于为手机充电和为低能耗照明供电。全球约有6亿人的手机在家中无法通电。为了给它们充电，他们经常不得不步行数小时到充电站将他们的手机连接到汽车电池充电器上；这是一种充电很高的特权。该项目开发的电源单元将采用循环经济的方式重复使用锂离子电池，为手机充电和低能耗照明应用提供低成本能源。

项目成果

Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries

• DOI: 10.1109/tii.2018.2794997
• 发表时间: 2019-01-01
• 期刊: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
• 影响因子: 12.3
• 作者: Richardson, Robert R.;Birkl, Christoph R.;Howey, David A.
• 通讯作者: Howey, David A.

Gaussian process regression for forecasting battery state of health

• DOI: 10.1016/j.jpowsour.2017.05.004
• 发表时间: 2017-07-31
• 期刊: JOURNAL OF POWER SOURCES
• 影响因子: 9.2
• 作者: Richardson, Robert R.;Osborne, Michael A.;Howey, David A.
• 通讯作者: Howey, David A.

Battery Capacity Estimation From Partial-Charging Data Using Gaussian Process Regression

使用高斯过程回归根据部分充电数据估算电池容量

• DOI: 10.1115/dscc2017-5365
• 发表时间: 2017
• 作者: Richardson R