Robust State of Health estimation of lithium-ion batteries using convolutional neural network and random forest

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

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

State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries

(2020) Jinpeng Tian et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

A novel deep learning framework for state of health estimation of lithium-ion battery

(2020) Yaxiang Fan et al.   Journal of Energy Storage

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A deep learning method for online capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   Journal of Energy Storage

A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation

(2018) J. Li et al.   APPLIED ENERGY

A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter

(2018) Yi Li et al.   JOURNAL OF POWER SOURCES

An easy-to-parameterise physics-informed battery model and its application towards lithium-ion battery cell design, diagnosis, and degradation

(2018) Yu Merla et al.   JOURNAL OF POWER SOURCES

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

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

Parameter Identification and Maximum Power Estimation of Battery/Supercapacitor Hybrid Energy Storage System based on Cramer-Rao Bound Analysis

(2018) Ziyou Song et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Random forest regression for online capacity estimation of lithium-ion batteries

(2018) Yi Li et al.   APPLIED ENERGY

State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis

(2018) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

(2018) Rui Xiong et al.   JOURNAL OF POWER SOURCES

Current Profile Optimization for Combined State of Charge and State of Health Estimation of Lithium Ion Battery Based on Cramer–Rao Bound Analysis

(2018) Ziyou Song et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

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

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

(2016) Caihao Weng et al.   APPLIED ENERGY

Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach

(2016) Gae-won You et al.   APPLIED ENERGY

State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter

(2016) Jun Bi et al.   APPLIED ENERGY

On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis

(2016) Limei Wang et al.   APPLIED ENERGY

Novel application of differential thermal voltammetry as an in-depth state-of-health diagnosis method for lithium-ion batteries

(2016) Yu Merla et al.   JOURNAL OF POWER SOURCES

Adaptive estimation of state of charge and capacity with online identified battery model for vanadium redox flow battery

(2016) Zhongbao Wei et al.   JOURNAL OF POWER SOURCES

Toward Vehicle-Assisted Cloud Computing for Smartphones

(2015) Hongli Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies

(2015) Juan Antonio Guerrero-ibanez et al.   IEEE WIRELESS COMMUNICATIONS

Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

(2015) Yuan Zou et al.   JOURNAL OF POWER SOURCES

On-line optimization of battery open circuit voltage for improved state-of-charge and state-of-health estimation

(2015) Shijie Tong et al.   JOURNAL OF POWER SOURCES

Rapidly falling costs of battery packs for electric vehicles

(2015) Björn Nykvist et al.   Nature Climate Change

On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression

(2013) Caihao Weng et al.   JOURNAL OF POWER SOURCES

Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles

(2012) D. Andre et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Hybrid Battery Model Capable of Capturing Dynamic Circuit Characteristics and Nonlinear Capacity Effects

(2011) Taesic Kim et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

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

Identify capacity fading mechanism in a commercial LiFePO4 cell

(2009) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES