Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

State of charge estimation of an electric vehicle's battery using tiny neural network embedded on small microcontroller units

(2022) Yahia Mazzi et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Early Prognostics of Lithium-Ion Battery Pack Health

(2022) Jiwei Wang et al.   Sustainability

A deep learning approach to state of charge estimation of lithium-ion batteries based on dual-stage attention mechanism

(2022) Kuo Yang et al.   ENERGY

Lithium-Ion Battery Estimation in Online Framework Using Extreme Gradient Boosting Machine Learning Approach

(2022) Sadiqa Jafari et al.   Mathematics

Battery lifetime prediction and performance assessment of different modeling approaches

(2021) Md Sazzad Hosen et al.   iScience

Adaptive Online State of Charge Estimation of EVs Lithium-Ion Batteries with Deep Recurrent Neural Networks

(2021) Gelareh Javid et al.   Energies

Electrode ageing estimation and open circuit voltage reconstruction for lithium ion batteries

(2021) Jinpeng Tian et al.   Energy Storage Materials

Lithium Battery SOH Monitoring and an SOC Estimation Algorithm Based on the SOH Result

(2021) Jong-Hyun Lee et al.   Energies

Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter

(2021) Zheng Chen et al.   ENERGY

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

(2021) Junxiong Chen et al.   ENERGY

SOH estimation of lithium-ion batteries based on least squares support vector machine error compensation model

(2021) Ji’ang Zhang et al.   Journal of Power Electronics

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

(2021) Mattia Stighezza et al.   Energies

Prognostics of the state of health for lithium-ion battery packs in energy storage applications

(2021) Chun Chang et al.   ENERGY

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

(2021) Xiong Feng et al.   ENERGY

State‐of‐health estimation for the lithium‐ion battery based on gradient boosting decision tree with autonomous selection of excellent features

(2021) Zhiqi Zhang et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Real Driving Cycle-Based State of Charge Prediction for EV Batteries Using Deep Learning Methods

(2021) Seokjoon Hong et al.   Applied Sciences-Basel

Hardware-in-the-Loop Assessment of a Data-Driven State of Charge Estimation Method for Lithium-Ion Batteries in Hybrid Vehicles

(2021) Sara Luciani et al.   Electronics

A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning

(2021) Xing Shu et al.   IEEE Transactions on Transportation Electrification

Co-estimation of state of charge and capacity for lithium-ion battery based on recurrent neural network and support vector machine

(2021) Qiao Wang et al.   Energy Reports

A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

(2021) Zuolu Wang et al.   Energy Reports

Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features

(2020) Sahar Khaleghi et al.   Energies

Online state of health prediction method for lithium-ion batteries, based on gated recurrent unit neural networks

(2020) Lucian Ungurean et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

The Influence of the Activation Function in a Convolution Neural Network Model of Facial Expression Recognition

(2020) Yingying Wang et al.   Applied Sciences-Basel

A review of the state of health for lithium-ion batteries: Research status and suggestions

(2020) Huixin Tian et al.   JOURNAL OF CLEANER PRODUCTION

State of health prediction for lithium‐ion batteries with a novel online sequential extreme learning machine method

(2020) Huixin Tian et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

SOH Estimation of Lithium-Ion Battery Pack Based on Integrated State Information from Cells

(2020) Xiaohong Wang et al.   Applied Sciences-Basel

Online health diagnosis of lithium-ion batteries based on nonlinear autoregressive neural network

(2020) Sahar Khaleghi et al.   APPLIED ENERGY

An Improved Gated Recurrent Unit Network Model for State-of-Charge Estimation of Lithium-Ion Battery

(2020) Wenxian Duan et al.   Energies

A Hierarchical and Flexible Data-Driven Method for Online State-of-Health Estimation of Li-Ion Battery

(2020) Wei Liu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Rapid measurement method for lithium‐ion battery state of health estimation based on least squares support vector regression

(2020) Bin Xiao et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

(2020) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

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

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

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

(2020) Xiaobo Zhao et al.   Journal of Energy Storage

Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model

(2020) Da Li et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

A Neural Network Based Method for Thermal Fault Detection in Lithium-Ion Batteries

(2020) Olaoluwa Ojo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Extreme Learning Machine-Based Thermal Model for Lithium-Ion Batteries of Electric Vehicles under External Short Circuit

(2020) Ruixin Yang et al.   Engineering

A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles

(2019) Sudipta Bijoy Sarmah et al.   Journal of Electrochemical Energy Conversion and Storage

Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

(2019) Yuanwang Deng et al.   ENERGY

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

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

(2019) Fangfang Yang et al.   ENERGY

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

Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine

(2019) Xuning Feng et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

(2019) Chong Bian et al.   ENERGY

A Sensor Fault Diagnosis Method for a Lithium-Ion Battery Pack in Electric Vehicles

(2019) Rui Xiong et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

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

Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles

(2019) Kaizhi Liang et al.   Energies

Optimal Charging Control for Lithium-Ion Battery Packs: A Distributed Average Tracking Approach

(2019) Quan Ouyang et al.   IEEE Transactions on Industrial Informatics

Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries

(2019) Yandan Tan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

(2018) Ephrem Chemali et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

SOC Estimation of Lithium-Ion Battery Pack Considering Balancing Current

(2018) Zhiliang Zhang et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

On-line life cycle health assessment for lithium-ion battery in electric vehicles

(2018) Datong Liu et al.   JOURNAL OF CLEANER PRODUCTION

State-of-charge inconsistency estimation of lithium-ion battery pack using mean-difference model and extended Kalman filter

(2018) Yuejiu Zheng et al.   JOURNAL OF POWER SOURCES

A modified Elman neural network with a new learning rate scheme

(2018) Guanghua Ren et al.   NEUROCOMPUTING

Battery Management System Hardware Concepts: An Overview

(2018) Markus Lelie et al.   Applied Sciences-Basel

Online State of Health Estimation for Lithium-Ion Batteries Based on Support Vector Machine

(2018) Zheng Chen et al.   Applied Sciences-Basel

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

Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

(2018) Rui Xiong et al.   IEEE Access

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

(2018) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

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

Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine

(2018) Jinhao Meng et al.   MICROELECTRONICS RELIABILITY

Predicting kinetic triplets using a 1d convolutional neural network

(2018) Dongyang Kuang et al.   THERMOCHIMICA ACTA

A Novel Health Factor to Predict the Battery’s State-of-Health Using a Support Vector Machine Approach

(2018) Kai Huang et al.   Applied Sciences-Basel

Lithium-Ion Battery Packs Formation With Improved Electrochemical Performance for Electric Vehicles: Experimental and Clustering Analysis

(2018) Liu Yun et al.   Journal of Electrochemical Energy Conversion and Storage

State of charge estimation based on a simplified electrochemical model for a single LiCoO 2 battery and battery pack

(2017) Junfu Li et al.   ENERGY

Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks

(2017) Gae-Won You 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

Cycle life estimation of lithium-ion polymer batteries using artificial neural network and support vector machine with time-resolved thermography

(2017) Xunfei Zhou et al.   MICROELECTRONICS RELIABILITY

Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model

(2017) Fangfang Yang et al.   MICROELECTRONICS RELIABILITY

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking

(2016) Caihao Weng et al.   APPLIED ENERGY

A Run-Time Dynamic Reconfigurable Computing System for Lithium-Ion Battery Prognosis

(2016) Shaojun Wang et al.   Energies

Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine

(2016) Jinhao Meng et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Online state of health estimation on NMC cells based on predictive analytics

(2016) Maitane Berecibar et al.   JOURNAL OF POWER SOURCES

Lightning search algorithm

(2015) Hussain Shareef et al.   APPLIED SOFT COMPUTING

A novel dual-scale cell state-of-charge estimation approach for series-connected battery pack used in electric vehicles

(2015) Fengchun Sun et al.   JOURNAL OF POWER SOURCES

Practical state of health estimation of power batteries based on Delphi method and grey relational grade analysis

(2015) Bingxiang Sun et al.   JOURNAL OF POWER SOURCES

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

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

(2013) Yinjiao Xing et al.   APPLIED ENERGY

Adaptive state of charge estimator for lithium-ion cells series battery pack in electric vehicles

(2013) Rui Xiong et al.   JOURNAL OF POWER SOURCES

Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

(2012) Dave Andre et al.   JOURNAL OF POWER SOURCES

Enhanced random search based incremental extreme learning machine

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING