PFI-TT: Development of a Battery Health and Safety Monitoring Technology with High Accuracy and Speed

PFI-TT：开发高精度、高速度的电池健康与安全监测技术

• 批准号: 2213918
• 负责人: Jaber Abu Qahouq
• 金额: $ 25万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213918&HistoricalAwards=false
• 关键词: PFI; TT; Development; Battery; Health

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to develop a battery health monitoring technology and a prototype system that can detect performance deterioration and possible battery failures more quickly and accurately than current technologies. Fast and accurate health monitoring of batteries impacts a wide range of applications and products and may have significant impact on the safety of materials and personnel. Applications and products such as electric and hybrid-electric vehicles, electric aircrafts, electric boats, green homes and buildings, off-power-grid homes and buildings, backup battery systems for data centers and computing infrastructure, communication systems, hospitals and grid or micro-grid scale energy storage are potential direct beneficiaries of this technology. The resiliency of power availability increasingly impacts daily lives and security. Fast and accurate state-of-health degradation evaluation technology is also important for repurposing batteries for second-life use.The proposed project seeks to develop a battery health monitoring technology. The technology employs new battery health indicators, advanced algorithms such as Artificial Neural Networks, and measurement methods that are suitable for online applications and simultaneous multi-battery component monitoring with reduced cost and size. A proof-of-concept prototype will be developed during this project to demonstrate the competitive advantages of the technology such as accuracy, speed, cost, and size. The project seeks to evaluate and demonstrate the commercial potential and viability of the technology using many parameters. The proof-of-concept prototype will also be used to demonstrate the technology to potential industry collaborators and partners.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这种伙伴关系对创新 - 技术翻译（PFI -TT）项目的更广泛的影响/商业潜力是开发电池健康监测技术和一种原型系统，该系统可以比当前技术更快，更准确地检测性能恶化，并且可能的电池可能更快。对电池的快速健康监控会影响广泛的应用和产品，并可能对材料和人员的安全产生重大影响。 Applications and products such as electric and hybrid-electric vehicles, electric aircrafts, electric boats, green homes and buildings, off-power-grid homes and buildings, backup battery systems for data centers and computing infrastructure, communication systems, hospitals and grid or micro-grid scale energy storage are potential direct beneficiaries of this technology.电力可用性的弹性越来越多地影响日常生活和安全。快速，准确的健康退化评估技术对于重新利用二人使用的电池也很重要。拟议的项目旨在开发电池健康监测技术。该技术采用了新的电池健康指标，高级算法（例如人工神经网络）以及适合在线应用程序和同时进行的多击组件监视的测量方法，成本和尺寸降低。在该项目期间，将开发概念验证原型，以证明技术的竞争优势，例如准确性，速度，成本和规模。 该项目旨在使用许多参数评估和证明技术的商业潜力和生存能力。 概念验证原型还将用于向潜在的行业合作者和合作伙伴展示该技术。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。