STRP

University of Oklahoma

Data-Driven Battery Prognostics with Advanced Sensing Towards Second Life Applications

Lead: Dong Zhang

Partner: Posh Robotics, Wesley Zheng, wesley@poshenergy.com

Keywords: Second-life batteries, state of health, learning and control; battery management systems

Amount: $88000

Intellectual Property Status: None

Award Date: 08/14/2024

End Date: 02/15/2026

ABSTRACT

The increasing demand for electric vehicles (EVs) is straining the battery supply chain. Upon retirement, used batteries are often discarded even though they are still suitable for repurposing in various other applications. To precise know the accurate remaining useful life of used batteries, we will develop and demonstrate a two-step screening pipeline to rapidly identify the state of health and accurately predict remaining useful life, which can be easily deployed at used-battery disassembly lines.