A state of charge (SOC) estimation method for lithium-ion batteries based on an adaptive strong-tracking Kalman filter
J
Jinhan Li
(State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry)
S
Shulin Liu
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 1, Issue 1
Published
July 07, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (2)
J
Jinhan Li
State Key Laboratory of Advanced Chemical Power Sources, Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Engineering Research Center of High-efficiency Energy Storage (Ministry of Education), Frontiers Science Center for New Organic Matter (Ministry of Education), College of Chemistry
S
Shulin Liu
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