Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
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Open Access
- 30 July 2022
- journal article
- research article
- Published by Royal Society of Chemistry (RSC) in Energy & Environmental Science
- Vol. 15 (10) , 4083-4094
Abstract
We have developed a high-performance deep transfer learning framework to predict the health status of lithium-ion batteries for each end-user at any charge–discharge cycle.Keywords
Funding Information
- National Key R&D Program of China (2018YFB1701202)
- National Natural Science Foundation of China (92167201)
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