State-of-charge estimation for Li-ion batteries with uncertain parameters and uncorrelated/correlated noises: a recursive approach
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
State-of-charge estimation for Li-ion batteries with uncertain parameters and uncorrelated/correlated noises: a recursive approach
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume -, Issue -, Pages 1-17
Publisher
Informa UK Limited
Online
2021-01-13
DOI
10.1080/00207721.2020.1868614
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Non-fragile distributed state estimation over sensor networks subject to DoS attacks: the almost sure stability
- (2020) Jinhua Song et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Estimation for power quality disturbances with multiplicative noises and correlated noises: a recursive estimation approach
- (2020) Bogang Qu et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Robust recursive filtering for uncertain stochastic systems with amplify-and-forward relays
- (2020) Hailong Tan et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol
- (2020) Xuerong Li et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol
- (2019) Hongxu Zhang et al. NEUROCOMPUTING
- An Optimized Impedance Model for the Estimation of the State-of-Charge of a Li-Ion Cell: The Case of a LiFePO4 (ANR26650)
- (2019) Victor Pizarro-Carmona et al. Energies
- A review of supercapacitor modeling, estimation, and applications: A control/management perspective
- (2018) Lei Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
- (2018) Rui Xiong et al. IEEE Access
- State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach
- (2018) Ephrem Chemali et al. JOURNAL OF POWER SOURCES
- State of charge estimation of power Li-ion batteries using a hybrid estimation algorithm based on UKF
- (2016) He Zhigang et al. ELECTROCHIMICA ACTA
- Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine
- (2016) Jinhao Meng et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- State of charge estimation for pulse discharge of a LiFePO4 battery by a revised Ah counting
- (2015) Naixing Yang et al. ELECTROCHIMICA ACTA
- A Real-Time Joint Estimator for Model Parameters and State of Charge of Lithium-Ion Batteries in Electric Vehicles
- (2015) Jianping Gao et al. Energies
- State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
- (2013) Yinjiao Xing et al. APPLIED ENERGY
- Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
- (2013) Jun Hu et al. AUTOMATICA
- Battery state of the charge estimation using Kalman filtering
- (2013) M. Mastali et al. JOURNAL OF POWER SOURCES
- A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries
- (2012) Yao He et al. APPLIED ENERGY
- State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering
- (2012) Zheng Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Distributed weighted robust Kalman filter fusion for uncertain systems with autocorrelated and cross-correlated noises
- (2011) Jianxin Feng et al. Information Fusion
- Optimal robust non-fragile Kalman-type recursive filtering with finite-step autocorrelated noises and multiple packet dropouts
- (2010) Jianxin Feng et al. AEROSPACE SCIENCE AND TECHNOLOGY
- State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF
- (2010) Mohammad Charkhgard et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art
- (2010) Alireza Khaligh et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling
- (2010) D. Andre et al. JOURNAL OF POWER SOURCES
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More