Traceless Kalman Filtering Combined with Parameter Identification for Lithium Battery Charge State Estimation
Authors:
- 9 January 2026
- book chapter
- Published by Springer Nature
- p. 644-651
Abstract
No abstract availableKeywords
This publication has 4 references indexed in Scilit:
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- Online parameters identification and state of charge estimation for lithium-ion batteries based on improved central difference particle filterJournal of Energy Storage, 2023
- State-of-charge estimation of lithium-ion battery pack by using an adaptive extended Kalman filter for electric vehiclesJournal of Energy Storage, 2021
- State-of-charge estimation of lithium-ion batteries using LSTM and UKFEnergy, 2020