State of Charge Estimation in Lithium-Ion Batteries: A Neural Network Optimization Approach

Li-Ion Batteries: A Review of a Key Technology for Transport Decarbonization

(2020) Daniele Stampatori et al.   Energies

Toward Enhanced State of Charge Estimation of Lithium-ion Batteries Using Optimized Machine Learning Techniques

(2020) M. A. Hannan et al.   Scientific Reports

Battery Management Systems—Challenges and Some Solutions

(2020) Balakumar Balasingam et al.   Energies

An Evaluation of Energy Storage Cost and Performance Characteristics

(2020) Kendall Mongird et al.   Energies

Development of Enhancing Battery Management for Reusing Automotive Lithium-Ion Battery

(2020) Wen-Poo Yuan et al.   Energies

An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries

(2020) Arunava Naha et al.   Scientific Reports

Optimization of drop ejection frequency in EHD inkjet printing system using an improved Firefly Algorithm

(2020) Amit Kumar Ball et al.   APPLIED SOFT COMPUTING

Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation

(2019) Muhammad Umair Ali et al.   Energies

Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm

(2019) Molla S. Hossain Lipu et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries

(2019) Chong Bian et al.   ENERGY

State estimation for advanced battery management: Key challenges and future trends

(2019) Xiaosong Hu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Li-ion Battery Modeling and State of Charge Estimation Method Including the Hysteresis Effect

(2019) Antonucci et al.   Electronics

Using a Time Delay Neural Network Approach to Diagnose the Out-of-Control Signals for a Multivariate Normal Process with Variance Shifts

(2019) Yuehjen E. Shao et al.   Mathematics

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Industrial Informatics

A Novel Intelligent Method for the State of Charge Estimation of Lithium-Ion Batteries Using a Discrete Wavelet Transform-Based Wavelet Neural Network

(2018) Deyu Cui et al.   Energies

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

(2018) Ruifeng Zhang et al.   Energies

A Double-Scale, Particle-Filtering, Energy State Prediction Algorithm for Lithium-Ion Batteries

(2018) Rui Xiong et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm

(2018) Xuewen Xia et al.   Journal of Computational Science

Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm

(2018) Mahammad A. Hannan et al.   IEEE Access

State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm

(2018) Molla S. Hossain Lipu et al.   IEEE Access

Recycling of lithium-ion batteries: Recent advances and perspectives

(2018) Bin Huang et al.   JOURNAL OF POWER SOURCES

An All-Region State-of-Charge Estimator Based on Global Particle Swarm Optimization and Improved Extended Kalman Filter for Lithium-Ion Batteries

(2018) Xin Lai et al.   Electronics

State of Charge Estimation for Lithium-Ion Battery Based on Nonlinear Observer: An H∞ Method

(2017) Qiao Zhu et al.   Energies

State-of-Charge Estimation with State-of-Health Calibration for Lithium-Ion Batteries

(2017) et al.   Energies

A New State of Charge Estimation Algorithm for Lithium-Ion Batteries Based on the Fractional Unscented Kalman Filter

(2017) Yixing Chen et al.   Energies

A State of Charge Estimation Method Based on $H_\infty$ Observer for Switched Systems of Lithium-Ion Nickel–Manganese–Cobalt Batteries

(2017) Cong-zhi Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of A Safety Critical Cyber-Physical System

(2017) C. Lv et al.   IEEE Transactions on Industrial Informatics

SoC Estimation for Lithium-ion Batteries: Review and Future Challenges

(2017) Juan Rivera-Barrera et al.   Electronics

A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile

(2016) Fangfang Yang et al.   APPLIED ENERGY

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

An adaptive sliding mode observer for lithium-ion battery state of charge and state of health estimation in electric vehicles

(2016) Jiani Du et al.   CONTROL ENGINEERING PRACTICE

A method for joint estimation of state-of-charge and available energy of LiFePO 4 batteries

(2014) Yujie Wang et al.   APPLIED ENERGY

Hybrid state of charge estimation for lithium-ion batteries: design and implementation

(2014) Alireza Alfi et al.   IET Power Electronics

State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation

(2014) Wei He et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

(2013) Yinjiao Xing et al.   APPLIED ENERGY

A novel model of the initial state of charge estimation for LiFePO4 batteries

(2013) Yanhui Zhang et al.   JOURNAL OF POWER SOURCES

A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles

(2013) Xiaopeng Chen 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