Real-time monitoring of battery state of charge using artificial neural networks

Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning

(2021) Yihuan Li et al.   APPLIED ENERGY

Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries

(2021) Weihan Li et al.   JOURNAL OF POWER SOURCES

One-shot battery degradation trajectory prediction with deep learning

(2021) Weihan Li et al.   JOURNAL OF POWER SOURCES

State-of-charge estimation of lithium-ion battery based on clockwork recurrent neural network

(2021) Xiong Feng et al.   ENERGY

Load Current and State-of-Charge Coestimation for Current Sensor-Free Lithium-Ion Battery

(2021) Zhongbao Wei et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

State of Health Estimation of Lithium-Ion Battery Based on Constant-Voltage Charging Reconstruction

(2021) Haokai Ruan et al.   IEEE Journal of Emerging and Selected Topics in Power Electronics

State-of-Health Estimation of Lithium-Ion Batteries Using Incremental Capacity Analysis Based on Voltage–Capacity Model

(2020) Jiangtao He et al.   IEEE Transactions on Transportation Electrification

Online capacity estimation of lithium-ion batteries with deep long short-term memory networks

(2020) Weihan Li et al.   JOURNAL OF POWER SOURCES

A Two-Step Parameter Optimization Method for Low-Order Model-Based State-of-Charge Estimation

(2020) Xiaolei Bian et al.   IEEE Transactions on Transportation Electrification

A Novel Model-Based Voltage Construction Method for Robust State-of-Health Estimation of Lithium-Ion Batteries

(2020) Xiaolei Bian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2019) Chaoran Li et al.   Energies

xEV Li-Ion Battery Low-Temperature Effects—Review

(2019) Carlos Vidal et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter

(2019) Cheng Chen et al.   JOURNAL OF CLEANER PRODUCTION

A framework for state-of-charge and remaining discharge time prediction using unscented particle filter

(2019) Yujie Wang et al.   APPLIED ENERGY

State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture

(2019) Chong Bian et al.   JOURNAL OF POWER SOURCES

Cave Pearl Data Logger: A Flexible Arduino-Based Logging Platform for Long-Term Monitoring in Harsh Environments

(2018) Patricia A. Beddows et al.   SENSORS

Rapid Prediction of the Open-Circuit-Voltage of Lithium Ion Batteries Based on an Effective Voltage Relaxation Model

(2018) Jie Yang et al.   Energies

A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction

(2018) Peiyao Guo et al.   JOURNAL OF POWER SOURCES

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

Model-based Sensor Fault Diagnosis of a Lithium-ion Battery in Electric Vehicles

(2015) Zhentong Liu et al.   Energies

Evaluation of Model Based State of Charge Estimation Methods for Lithium-Ion Batteries

(2014) Zhongyue Zou et al.   Energies

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

State of health detection for Lithium ion batteries in photovoltaic system

(2012) K.M. Tsang et al.   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

State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation

(2010) Jürgen Remmlinger et al.   JOURNAL OF POWER SOURCES