A normal‐gamma‐based adaptive dual unscented Kalman filter for battery parameters and state‐of‐charge estimation with heavy‐tailed measurement noise

Power battery state of charge estimation based on extended Kalman filter

(2019) Qi Wang et al.   Journal of Renewable and Sustainable Energy

A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation

(2019) Jing Hou et al.   Energies

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

(2019) Fangfang Yang et al.   ENERGY

SOC estimation for batteries using MS-AUKF and neural network

(2019) Zhongqiang Wu et al.   Journal of Renewable and Sustainable Energy

Adaptive Dual Extended Kalman Filter Based on Variational Bayesian Approximation for Joint Estimation of Lithium-Ion Battery State of Charge and Model Parameters

(2019) Jing Hou et al.   Applied Sciences-Basel

State of Charge Estimation for Power Lithium-Ion Battery Using a Fuzzy Logic Sliding Mode Observer

(2019) Wenhui Zheng et al.   Energies

State estimation of lithium-ion cells using a physicochemical model based extended Kalman filter

(2018) J. Sturm et al.   APPLIED ENERGY

Differential voltage analysis based state of charge estimation methods for lithium-ion batteries using extended Kalman filter and particle filter

(2018) Linfeng Zheng et al.   ENERGY

A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation

(2018) Cheng Chen et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

State-of-charge estimation for lithium-ion battery using the Gauss-Hermite particle filter technique

(2018) Bin Li et al.   Journal of Renewable and Sustainable Energy

Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation

(2018) Chao Huang et al.   IEEE Access

Lithium-ion battery state of charge estimation with model parameters adaptation using H∞ extended Kalman filter

(2018) Linhui Zhao et al.   CONTROL ENGINEERING PRACTICE

An online method to simultaneously identify the parameters and estimate states for lithium ion batteries

(2018) Qianqian Wang et al.   ELECTROCHIMICA ACTA

Adaptive Unscented Kalman Filter with Correntropy Loss for Robust State of Charge Estimation of Lithium-Ion Battery

(2018) Quan Sun et al.   Energies

A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique

(2017) Yanwen Li et al.   ENERGY

Revisiting the State-of-Charge Estimation for Lithium-Ion Batteries: A Methodical Investigation of the Extended Kalman Filter Approach

(2017)   IEEE CONTROL SYSTEMS MAGAZINE

Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters

(2017) Quanqing Yu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Model-based unscented Kalman filter observer design for lithium-ion battery state of charge estimation

(2017) Taipeng Wang et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

State of Charge Estimation of Battery Energy Storage Systems Based on Adaptive Unscented Kalman Filter With a Noise Statistics Estimator

(2017) Simin Peng et al.   IEEE Access

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

Design of adaptive H ∞ filter for implementing on state-of-charge estimation based on battery state-of-charge-varying modelling

(2015) Mohammad Charkhgard et al.   IET Power Electronics

Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine

(2015) Hanmin Sheng et al.   JOURNAL OF POWER SOURCES

Approximate Inference in State-Space Models With Heavy-Tailed Noise

(2012) Gabriel Agamennoni et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF

(2010) Mohammad Charkhgard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS