IPNEX

Licensable university IP

Data-driven model for lithium-ion battery capacity fade and lifetime prediction

Data-driven model for lithium-ion battery capacity fade and lifetime prediction is marketed for licensing by Stanford University (OTL). It is documented in US patent US 11,226,374. The current assignee of record is Massachusetts Institute of Technology. Google Patents reports its legal status as “Active” (an automated indicator, not a legal determination). Its expected expiration is 2040-03-30. Note: the patent's assignee of record is Massachusetts Institute of Technology, not Stanford University (OTL); confirm that Stanford University (OTL) can license it before relying on this listing.

The patent's current assignee of record is Massachusetts Institute of Technology, which differs from the marketing institution (Stanford University (OTL)). Confirm licensing rights with the assignee of record before relying on this listing.

Patent picture

FieldValueReliabilitySource
US patentUS 11,226,37495%HighGoogle Patents
Patent titleData-driven model for lithium-ion battery capacity fade and lifetime prediction90%HighGoogle Patents
Current assigneeMassachusetts Institute of Technology80%GoodGoogle Patents
Original assigneeMassachusetts Institute of Technology85%GoodGoogle Patents
Legal statusActive70%ModerateGoogle Patents
Filing date2018-10-1690%HighGoogle Patents
Priority date2017-10-1790%HighGoogle Patents
Publication date2022-01-1890%HighGoogle Patents
Expected expiration2040-03-3075%ModerateGoogle Patents
Reliability of each field, at a glance:
  • High 90% and up
  • Good 80 to 89%
  • Moderate 70 to 79%
Hover a bar for the exact figure; the Source column links the citation.

Legal status is Google Patents' automated indicator, not a legal determination.

Joined to US 11,226,374 by its printed patent number (a deterministic match), then enriched from public Google Patents data. Fields are shown only where resolved against a public source; unresolved fields are omitted, never guessed.

Original listing

This technology is marketed for licensing by Stanford University (OTL). View the original listing.