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This invention describes a computer system designed to collect and analyze data from individual batteries, such as those found in electric vehicles. It uses this historical information to predict when each battery will reach the end of its useful life. This prediction helps users optimize how they use the battery, decide the best time to reuse it for other purposes, or when to recycle it, potentially recording this data on a shared, secure digital ledger.
Why it matters: The significant advancements in machine learning since 2022 offer more precise battery degradation modeling for ABEL. Concurrently, the increasing regulatory focus on battery passports and circular economy principles makes the distributed ledger aspect for verifiable lifecycle data more compelling.
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