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An advanced battery energy storage control system for predictive maintenance

An advanced battery energy storage control system for predictive maintenance
用于预测性维护的先进电池储能控制系统
批准号:
105761
负责人:
金额:
$31.53万
依托单位:
依托单位国家:
英国
项目类别:
Study
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
翻译
预计到2020年,即将到来的电力革命仅在英国就将产生4,000吨电池废物(DfT 2014)。到2030年,在大多数工业化国家,能源储存加上可再生能源预计将超过化石燃料发电,所有主要汽车制造商预计将主要生产电动或混合动力乘用车。在处置时,这些电池中的大多数至少有70%的剩余寿命。为了应对气候危机,迫切需要经济实惠的电池系统解决方案和改进的电池废物处理方法。Alp设计并测试了一种低成本且易于维护的锂离子电池系统,该系统采用非传统架构和创新的电子器件和传感器,使这些电池能够重新用于分布式发电。该项目将专注于提高锂离子电池的利用率,通过开发先进的系统来收集和分析预测性维护数据(软件),提高电池价值并延长回收前的使用时间。将这一创新与我们现有的废旧电池系统相结合,有可能将储能成本降低80%,同时回收利用废弃物。可负担性的提高可以极大地促进非洲和东南亚发展中国家采用可再生能源,这些国家可再生能源资源丰富,但成本是系统部署的一个重大障碍。
英文摘要
The upcoming electric revolution is estimated to generate 4,000 tonnes of battery waste in the UK alone by 2020 (DfT 2014). By 2030, energy storage coupled with renewables are expected to overtake fossil fuel based electricity generation in most industrialized countries and all major car manufacturers are expected to make mostly electric or hybrid passenger vehicles. At the point of disposal, most of these batteries have at least 70% remaining life. Solutions for affordable battery system and improved ways to deal with battery wastes are urgently needed to deal with climate crisis.In response, Alp has designed and tested a low-cost and easy to maintain li-ion battery system using unconventional architecture and innovative electronics and sensors, which allow these batteries to be reused for distributed generation.This project will focus on the improved utilization of Li-ion cells, increasing cell-value and extending use prior to recycle thanks to the development of an advanced system to collect and analyse the data for predictive maintenance (software).The combination of this innovation with our existing battery system made of used cells has the potential to reduce energy storage cost by 80% while recycling otherwise discarded waste. The increase affordability could greatly facilitate the adoption of renewable energy in developing countries in Africa and South East Asia where renewable resources are abundant, but cost is a significant barrier to system deployment.
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