Estimation of the state of health (SOH) of batteries using discrete curvature feature extraction

A state-of-health estimation method of lithium-ion batteries based on multi-feature extracted from constant current charging curve

(2021) YongFang Guo et al.   Journal of Energy Storage

Development of a battery real-time state of health diagnosis based on fast impedance measurements

(2021) Edoardo Locorotondo et al.   Journal of Energy Storage

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

Hierarchical Estimation Model of State-of-Charge and State-of-Health for Power Batteries Considering Current Rate

(2021) Peihang Xu et al.   IEEE Transactions on Industrial Informatics

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

(2020) Yong Tian et al.   APPLIED ENERGY

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 diagnosis of state of health for lithium-ion batteries based on short-term charging profiles

(2020) Xing Shu et al.   JOURNAL OF POWER SOURCES

State-of-health estimation for satellite batteries based on the actual operating parameters – Health indicator extraction from the discharge curves and state estimation

(2020) Jie Yang et al.   Journal of Energy Storage

State-of-Charge Balancing of Lithium-Ion Batteries With State-of-Health Awareness Capability

(2020) Zhiyong Xia et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Intelligent state of health estimation for lithium-ion battery pack based on big data analysis

(2020) Lingjun Song et al.   Journal of Energy Storage

Lithium Battery State-of-Health Estimation via Differential Thermal Voltammetry With Gaussian Process Regression

(2020) Zhenpo Wang et al.   IEEE Transactions on Transportation Electrification

Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning

(2020) Xiaosong Hu et al.   IEEE Transactions on Transportation Electrification

An Ensemble Learning-Based Data-Driven Method for Online State-of-Health Estimation of Lithium-Ion Batteries

(2020) Bin Gou et al.   IEEE Transactions on Transportation Electrification

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

(2019) Fangfang Yang et al.   ENERGY

Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles

(2019) Xiaoyu Li 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

Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks

(2019) Jichao Hong et al.   APPLIED ENERGY

State estimation for advanced battery management: Key challenges and future trends

(2019) Xiaosong Hu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2019) Yujie Wang et al.   APPLIED ENERGY

Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter

(2019) Bin Duan et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Robust Estimation for State-of-Charge and State-of-Health of Lithium-Ion Batteries Using Integral-Type Terminal Sliding-Mode Observers

(2019) Yong Feng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Health-Aware Multiobjective Optimal Charging Strategy With Coupled Electrochemical-Thermal-Aging Model for Lithium-Ion Battery

(2019) Yizhao Gao et al.   IEEE Transactions on Industrial Informatics

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Industrial Informatics

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

(2018) Jingwen Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

State of health prediction of lithium-ion batteries: Multiscale logic regression and Gaussian process regression ensemble

(2018) Jianbo Yu   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Exponential Model and Particle Filter

(2018) Lijun Zhang et al.   IEEE Access

State-of-life prognosis and diagnosis of lithium-ion batteries by data-driven particle filters

(2018) F. Cadini et al.   APPLIED ENERGY