Elman neural network using ant colony optimization algorithm for estimating of state of charge of lithium-ion battery

Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm

(2018) He Jiang   APPLIED SOFT COMPUTING

Fast Model Predictive Control for Redistributive Lithium-Ion Battery Balancing

(2017) Lucas McCurlie et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

(2017) Hicham Chaoui et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

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

Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles

(2016) KaiChin Lim et al.   APPLIED ENERGY

Multi-time-scale observer design for state-of-charge and state-of-health of a lithium-ion battery

(2016) Changfu Zou et al.   JOURNAL OF POWER SOURCES

Electrochemical and Electrostatic Energy Storage and Management Systems for Electric Drive Vehicles: State-of-the-Art Review and Future Trends

(2016) Ephrem Chemali et al.   IEEE Journal of Emerging and Selected Topics in 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 new neural network model for the state-of-charge estimation in the battery degradation process

(2014) LiuWang Kang et al.   APPLIED ENERGY

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

Open circuit voltage characterization of lithium-ion batteries

(2014) B. Pattipati et al.   JOURNAL OF POWER SOURCES

Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries Part I: Parameterization Model Development for Healthy Batteries

(2014) Ryan Ahmed et al.   IEEE Journal of Emerging and Selected Topics in Power Electronics

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

Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

(2012) Hongwen He et al.   ENERGY

Robustness analysis of State-of-Charge estimation methods for two types of Li-ion batteries

(2012) Xiaosong Hu et al.   JOURNAL OF POWER SOURCES

A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

(2011) Chao Hu et al.   APPLIED ENERGY

Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles

(2011) Fengchun Sun et al.   ENERGY

Adaptive online state-of-charge determination based on neuro-controller and neural network

(2010) Yanqing Shen   ENERGY CONVERSION AND MANAGEMENT

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

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

A New Elman Neural Network-Based Control Algorithm for Adjustable-Pitch Variable-Speed Wind-Energy Conversion Systems

(2010) Whei-Min Lin et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries

(2010) Michael A. Roscher et al.   JOURNAL OF POWER SOURCES

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

(2009) Kong Soon Ng et al.   APPLIED ENERGY

State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge

(2008) Seongjun Lee et al.   JOURNAL OF POWER SOURCES