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UC Riverside Engineers Unveil Revolutionary Battery Diagnostic Tool

SOM combines battery data with environmental factors for real-world predictions. It could revolutionize battery management in electric vehicles and other industries.

In the picture we can see a car engine with pipes, battery in it.
In the picture we can see a car engine with pipes, battery in it.

UC Riverside Engineers Unveil Revolutionary Battery Diagnostic Tool

Engineers at the University of California, Riverside have developed a revolutionary diagnostic tool called State of Mission (SOM). This system significantly reduces prediction errors compared to traditional methods, offering real-time, task-specific insights for batteries.

SOM combines battery data with environmental factors to generate smart, forward-looking predictions. Unlike current management systems, it predicts whether a battery can safely and successfully power a specific task under real-world conditions. This breakthrough addresses a long-standing gap in battery management.

The team plans to test SOM in field environments and expand its capabilities to work with other battery chemistries. With further optimization, they expect SOM to be used in various applications, including electric vehicles, unmanned aerial systems, and grid storage. However, the model is still under development due to its computational complexity.

SOM offers a smarter, forward-looking output, transforming abstract battery data into actionable decisions. It combines data and physics to make reliable predictions even under stress. With successful field tests and further optimization, this innovative system could revolutionize battery management in electric vehicles and other industries.

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