An Approach to State of Charge Estimation of Lithium-Ion Batteries Based on Recurrent Neural Networks with Gated Recurrent Unit

Accurate and Efficient Estimation of Lithium-Ion Battery State of Charge with Alternate Adaptive Extended Kalman Filter and Ampere-Hour Counting Methods

(2019) Zhongxiao Liu et al.   Energies

A Data-Driven Predictive Prognostic Model for Lithium-Ion Batteries based on a Deep Learning Algorithm

(2019) Phattara Khumprom et al.   Energies

A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries

(2018) Xin Lai et al.   ELECTROCHIMICA ACTA

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow

(2018) Shaowei Jiang et al.   Biomedical Optics Express

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

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

(2018) Ephrem Chemali et al.   JOURNAL OF POWER SOURCES

Vector-based navigation using grid-like representations in artificial agents

(2018) Andrea Banino et al.   NATURE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

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

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries

(2016) Fangdan Zheng et al.   APPLIED ENERGY

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Energy-Aware Broadcast Multiuser-MIMO Precoder Design with Imperfect Channel and Battery Knowledge

(2014) Javier Rubio et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

State-of-charge estimation for battery management system using optimized support vector machine for regression

(2014) J.N. Hu et al.   JOURNAL OF POWER SOURCES

Adaptive State of Charge Estimation for Li-Ion Batteries Based on an Unscented Kalman Filter with an Enhanced Battery Model

(2013) Zhiwei He et al.   Energies

Support Vector Machines Used to Estimate the Battery State of Charge

(2013) Juan Carlos Alvarez Anton et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Comparison study on the battery models used for the energy management of batteries in electric vehicles

(2012) Hongwen He et al.   ENERGY CONVERSION AND MANAGEMENT

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 comparative study of state of charge estimation algorithms for LiFePO4 batteries used in electric vehicles

(2012) Jiahao Li et al.   JOURNAL OF POWER SOURCES

Recurrent Neural Network-Based Modeling and Simulation of Lead-Acid Batteries Charge–Discharge

(2011) Giacomo Capizzi et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic

(2011) S. G. Li et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Electrical Energy Storage for the Grid: A Battery of Choices

(2011) B. Dunn et al.   SCIENCE

Evaluating the benefits of an electrical energy storage system in a future smart grid

(2010) N.S. Wade et al.   ENERGY POLICY