Related references
Note: Only part of the references are listed.Variational Bayesian Based Adaptive Shifted Rayleigh Filter for Bearings-Only Tracking in Clutters
Jing Hou et al.
SENSORS (2019)
Adaptive Dual Extended Kalman Filter Based on Variational Bayesian Approximation for Joint Estimation of Lithium-Ion Battery State of Charge and Model Parameters
Jing Hou et al.
APPLIED SCIENCES-BASEL (2019)
State of Charge Estimation for Lithium-Bismuth Liquid Metal Batteries
Xian Wang et al.
ENERGIES (2019)
Combined estimation of the state of charge of a lithium battery based on a back-propagation- adaptive Kalman filter algorithm
Wanzhong Zhao et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2018)
An Online State of Charge Estimation Algorithm for Lithium-Ion Batteries Using an Improved Adaptive Cubature Kalman Filter
Zhibing Zeng et al.
ENERGIES (2018)
A Novel Battery State of Charge Estimation Method Based on a Super-Twisting Sliding Mode Observer
Yigeng Huangfu et al.
ENERGIES (2018)
Online State of Charge and State of Health Estimation for a Lithium-Ion Battery Based on a Data-Model Fusion Method
Zhongbao Wei et al.
ENERGIES (2018)
A New Method for State of Charge Estimation of Lithium-Ion Batteries Using Square Root Cubature Kalman Filter
Xiangyu Cui et al.
ENERGIES (2018)
A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries
Fangfang Yang et al.
ENERGY (2018)
Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation
Chao Huang et al.
IEEE ACCESS (2018)
Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles
Rui Xiong et al.
IEEE ACCESS (2018)
Lithium-ion battery state of charge estimation with model parameters adaptation using H-infinity, extended Kalman filter
Linhui Zhao et al.
CONTROL ENGINEERING PRACTICE (2018)
An online method to simultaneously identify the parameters and estimate states for lithium ion batteries
Qianqian Wang et al.
ELECTROCHIMICA ACTA (2018)
A Physics-Based Electrochemical Model for Lithium-Ion Battery State-of-Charge Estimation Solved by an Optimised Projection-Based Method and Moving-Window Filtering
Wei He et al.
ENERGIES (2018)
An Adaptive Square Root Unscented Kalman Filter Approach for State of Charge Estimation of Lithium-Ion Batteries
Shulin Liu et al.
ENERGIES (2017)
A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique
Yanwen Li et al.
ENERGY (2017)
Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters
Quanqing Yu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)
State of Charge Estimation for Lithium-Ion Battery by Using Dual Square Root Cubature Kalman Filter
Luping Chen et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2017)
State of Charge Estimation of Battery Energy Storage Systems Based on Adaptive Unscented Kalman Filter With a Noise Statistics Estimator
Simin Peng et al.
IEEE ACCESS (2017)
A Variational Bayesian-Based Unscented Kalman Filter With Both Adaptivity and Robustness
Kailong Li et al.
IEEE SENSORS JOURNAL (2016)
Enhancement in Li-Ion Battery Cell State-of-Charge Estimation Under Uncertain Model Statistics
Menatalla Shehab El Din et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2016)
Accuracy improvement of SOC estimation in lithium-ion batteries
Mohamed A. Awadallah et al.
JOURNAL OF ENERGY STORAGE (2016)
State of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter
Bizhong Xia et al.
ENERGIES (2015)
Design of adaptive H∞ filter for implementing on state-of-charge estimation based on battery state-of-charge-varying modelling
Mohammad Charkhgard et al.
IET POWER ELECTRONICS (2015)
Study on the correlation between state of charge and coulombic efficiency for commercial lithium ion batteries
Yuejiu Zheng et al.
JOURNAL OF POWER SOURCES (2015)
Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine
Hanmin Sheng et al.
JOURNAL OF POWER SOURCES (2015)
The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
Jun Xu et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2014)
State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation
Wei He et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2014)
State-of-charge estimation for battery management system using optimized support vector machine for regression
J. N. Hu et al.
JOURNAL OF POWER SOURCES (2014)
State of charge estimation for electric vehicle batteries using unscented kalman filtering
Wei He et al.
MICROELECTRONICS RELIABILITY (2013)
Huber-based novel robust unscented Kalman filter
L. Chang et al.
IET SCIENCE MEASUREMENT & TECHNOLOGY (2012)
A High Precision Study of the Coulombic Efficiency of Li-Ion Batteries
A. J. Smith et al.
ELECTROCHEMICAL AND SOLID STATE LETTERS (2010)
State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF
Mohammad Charkhgard et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2010)
Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
Simo Sarkka et al.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2009)
Combined state of charge estimator for electric vehicle battery pack
Junping Wang et al.
CONTROL ENGINEERING PRACTICE (2007)
Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators
Pritpal Singh et al.
JOURNAL OF POWER SOURCES (2006)
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs - Part 3. State and parameter estimation
GL Plett
JOURNAL OF POWER SOURCES (2004)
Share Paper
