Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries

A novel quantitative electrochemical aging model considering side reactions for lithium-ion batteries

(2020) Xi Zhang et al.   ELECTROCHIMICA ACTA

Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

(2020) Yunwei Zhang et al.   Nature Communications

Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition

(2020) Bo Jiang et al.   APPLIED ENERGY

A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization

(2020) Xing Shu et al.   ENERGY

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

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

Battery life estimation based on cloud data for electric vehicles

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

Multi-time-scale framework for prognostic health condition of lithium battery using modified Gaussian process regression and nonlinear regression

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

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

Data-Driven Online Health Estimation of Li-Ion Batteries Using A Novel Energy-Based Health Indicator

(2020) Wei Liu et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

A coulombic efficiency-based model for prognostics and health estimation of lithium-ion batteries

(2019) Fangfang Yang et al.   ENERGY

Data-driven prediction of battery cycle life before capacity degradation

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

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

(2019) Yuanwang Deng et al.   ENERGY

Prognostic health condition for lithium battery using the partial incremental capacity and Gaussian process regression

(2019) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

Critical review of non-invasive diagnosis techniques for quantification of degradation modes in lithium-ion batteries

(2019) Carlos Pastor-Fernández et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Fault diagnosis of voltage sensor and current sensor for lithium-ion battery pack using hybrid system modeling and unscented particle filter

(2019) Changwen Zheng et al.   ENERGY

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

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

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

(2019) Xiaoyu Li et al.   ENERGY

Battery prognostics at different operating conditions

(2019) Dong Wang et al.   MEASUREMENT

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Transportation Electrification

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 study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

(2018) Fangfang Yang et al.   ENERGY

Differential voltage analysis based state of charge estimation methods for lithium-ion batteries using extended Kalman filter and particle filter

(2018) Linfeng Zheng et al.   ENERGY

Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries

(2018) Robert R. Richardson et al.   IEEE Transactions on Industrial Informatics

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

(2018) Eric Schulz et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

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

A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve

(2018) Duo Yang et al.   JOURNAL OF POWER SOURCES

A critical review on self-adaptive Li-ion battery ageing models

(2018) M. Lucu et al.   JOURNAL OF POWER SOURCES

State of health estimation of lithium-ion batteries based on the constant voltage charging curve

(2018) Zengkai Wang et al.   ENERGY

A robust correlation analysis framework for imbalanced and dichotomous data with uncertainty

(2018) Chun Sing Lai et al.   INFORMATION SCIENCES

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

State of charge estimation of lithium-ion batteries using a grey extended Kalman filter and a novel open-circuit voltage model

(2017) Haihong Pan et al.   ENERGY

Gaussian process regression for forecasting battery state of health

(2017) Robert R. Richardson et al.   JOURNAL OF POWER SOURCES

A state-space-based prognostics model for lithium-ion battery degradation

(2017) Xin Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter

(2016) Dong Wang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries

(2016) Ali Jokar et al.   JOURNAL OF POWER SOURCES

Simplification of physics-based electrochemical model for lithium ion battery on electric vehicle. Part II: Pseudo-two-dimensional model simplification and state of charge estimation

(2015) Xuebing Han et al.   JOURNAL OF POWER SOURCES

Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles

(2015) Alexander Farmann et al.   JOURNAL OF POWER SOURCES