A cubature Kalman filter for online state-of-charge estimation of lithium-ion battery using a gas-liquid dynamic model

Deep learning enabled state-of-charge estimation of LiFePO4 batteries: A systematic validation on state-of-the-art charging protocols

(2022) Chunsheng Hu et al.   ENERGY

Combined State of Charge and State of Energy Estimation of Lithium-Ion Battery Using Dual Forgetting Factor-Based Adaptive Extended Kalman Filter for Electric Vehicle Applications

(2021) Prashant Shrivastava et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Electrochemical-distributed thermal coupled model-based state of charge estimation for cylindrical lithium-ion batteries

(2021) Guangwei Chen et al.   CONTROL ENGINEERING PRACTICE

Lithium-ion battery equivalent model over full-range state of charge based on electrochemical process simplification

(2021) Dafang Wang et al.   ELECTROCHIMICA ACTA

Python‐based scikit‐learn machine learning models for thermal and electrical performance prediction of high‐capacity lithium‐ion battery

(2021) Manh‐Kien Tran et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model

(2021) Zhicheng Xu et al.   ENERGY

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

(2021) Shunli Wang et al.   Energy Reports

A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters

(2021) Manh-Kien Tran et al.   Journal of Energy Storage

A novel safety assurance method based on the compound equivalent modeling and iterate reduce particle‐adaptive Kalman filtering for the unmanned aerial vehicle lithium ion batteries

(2020) Shunli Wang et al.   Energy Science & Engineering

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

(2020) Yong Tian et al.   APPLIED ENERGY

A new gas–liquid dynamics model towards robust state of charge estimation of lithium-ion batteries

(2020) Biao Chen et al.   Journal of Energy Storage

Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles

(2020) Jichao Hong et al.   Journal of Energy Storage

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

(2020) Yujie Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

State of charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator

(2020) Daoming Sun et al.   ENERGY

State of charge estimation by multi-innovation unscented Kalman filter for vehicular applications

(2020) Hicham Ben Sassi et al.   Journal of Energy Storage

Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

(2020) Haifeng Dai et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

A novel adaptive state of charge estimation method of full life cycling lithium‐ion batteries based on the multiple parameter optimization

(2019) Wen Cao et al.   Energy Science & Engineering

An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect

(2019) Shun-Li Wang et al.   JOURNAL OF POWER SOURCES

State of charge estimation for lithium-ion battery using an electrochemical model based on electrical double layer effect

(2019) Huanhuan Li et al.   ELECTROCHIMICA ACTA

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

(2019) Prashant Shrivastava et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An adaptive sigma-point Kalman filter with state equality constraints for online state-of-charge estimation of a Li(NiMnCo)O2/Carbon battery using a reduced-order electrochemical model

(2019) Yalan Bi et al.   APPLIED ENERGY

Improved state of charge estimation for lithium-sulfur batteries

(2019) Karsten Propp et al.   Journal of Energy Storage

Identification of characteristic time constants in the initial dynamic response of electric double layer capacitors from high-frequency electrochemical impedance

(2018) A.A. Moya   JOURNAL OF POWER SOURCES

Hybrid Control of Networked Battery Systems

(2018)   IEEE Transactions on Sustainable Energy

On state-of-charge determination for lithium-ion batteries

(2017) Zhe Li et al.   JOURNAL OF POWER SOURCES

A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

(2017) M.A. Hannan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Gaussian filters for parameter and state estimation: A general review of theory and recent trends

(2017) H.H. Afshari et al.   SIGNAL PROCESSING

Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model

(2016) Linfeng Zheng et al.   APPLIED ENERGY

Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery

(2016) Zhongwei Deng et al.   ENERGY

Synthesis and electrochemical performance of LiFePO4/C cathode materials from Fe2O3 for high-power lithium-ion batteries

(2016) Yaping Wang et al.   IONICS

State of charge estimation for pulse discharge of a LiFePO4 battery by a revised Ah counting

(2015) Naixing Yang et al.   ELECTROCHIMICA ACTA

Li-ion battery materials: present and future

(2015) Naoki Nitta et al.   Materials Today