SandboxAQ, an enterprise SaaS company leveraging AI and quantum technology, has reached a significant milestone in advancing battery shelf-life testing and predictive maintenance for the US Army.
In collaboration with the Army's Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance (C5ISR) Center, SandboxAQ has compiled a comprehensive dataset of over 2 million hours of lab and simulated testing of lithium-ion batteries. This data will train Large Quantitative Models to predict battery performance and maintenance requirements, reducing the time required for shelf-life testing while enabling precise predictions.
The traditional method of estimating battery shelf-life involves proxy tests, which may not accurately predict real-world performance. SandboxAQ's approach, led by Technical Lead Ang Xiao, aims to significantly reduce the time required for shelf-life testing while providing critical insights into battery performance and maintenance needs. This technology has far-reaching implications, with potential applications in electric vehicles, robotic platforms, communications, and other portable devices.
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