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
• 金额: $ 31.53万
• 依托单位: ALP TECHNOLOGIES LTD
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=105761
• 关键词: advanced; battery; energy; storage; control

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.

据估计，到 2020 年，即将到来的电力革命仅在英国就会产生 4,000 吨电池废物（DfT 2014）。到 2030 年，在大多数工业化国家，储能与可再生能源相结合预计将取代化石燃料发电，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。在废弃时，大多数电池的剩余寿命至少为 70%。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。为此，Alp 使用非传统架构和创新电子技术设计并测试了一种低成本且易于维护的锂离子电池系统，传感器，使这些电池能够重复用于分布式发电。该项目将重点关注提高锂离子电池的利用率，增加电池价值并扩大回收前的使用范围，这要归功于开发了先进的系统来收集和分析锂离子电池预测性维护数据（软件）。这项创新与我们现有的由废旧电池制成的电池系统相结合，有可能将能源存储成本降低 80%，同时回收原本丢弃的废物。负担能力的提高可以极大地促进非洲和东南亚发展中国家可再生能源的采用，这些国家可再生资源丰富，但成本是系统部署的重大障碍。