Method and apparatus for estimating state of health of battery

This invention describes a way to figure out how healthy a battery is using a pre-trained artificial intelligence system. It works by taking specific measurements, like normalized voltage and current values, from the battery and feeding them into the AI. The AI then provides an estimated health value and also indicates how much it "paid attention" to different parts of the input data, using this to decide if its own health estimate is trustworthy.

Why it matters: The short time gap since filing means no major technological shifts have occurred. The primary challenge remains acquiring sufficient, diverse battery degradation data to effectively train the AI model.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedAI model training, software logic, battery interface

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