Ensemble Gradient Boosted Tree for SoH Estimation Based on Diagnostic Features

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

(2019) Yuanwang Deng et al.   ENERGY

Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation

(2019) Muhammad Umair Ali et al.   Energies

A survey on ensemble learning

(2019) Xibin Dong et al.   Frontiers of Computer Science

Concept of reliability and safety assessment of lithium-ion batteries in electric vehicles: Basics, progress, and challenges

(2019) Foad H. Gandoman et al.   APPLIED ENERGY

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

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

Developing a real-time data-driven battery health diagnosis method, using time and frequency domain condition indicators

(2019) S. Khaleghi et al.   APPLIED ENERGY

A review on prognostics and health management (PHM) methods of lithium-ion batteries

(2019) Huixing Meng et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Novel battery state-of-health online estimation method using multiple health indicators and an extreme learning machine

(2018) Haihong Pan et al.   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

Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics

(2018) P. Baraldi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Ensemble learning: A survey

(2018) Omer Sagi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

An On-line State of Health Estimation of Lithiumion Battery using Unscented Particle Filter

(2018) Datong Liu et al.   IEEE Access

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

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

A novel soft computing method for engine RUL prediction

(2017) Sandip Kumar Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Ensemble Learning for Short-Term Traffic Prediction Based on Gradient Boosting Machine

(2017) Senyan Yang et al.   Journal of Sensors

Critical review of state of health estimation methods of Li-ion batteries for real applications

(2016) M. Berecibar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Cycle aging of commercial NMC/graphite pouch cells at different temperatures

(2015) K. Jalkanen et al.   APPLIED ENERGY

Impulse feature extraction method for machinery fault detection using fusion sparse coding and online dictionary learning

(2015) Sen Deng et al.   Chinese Journal of Aeronautics

State-of-Charge Estimation for Lithium-Ion Batteries Using a Kalman Filter Based on Local Linearization

(2015) Zhihao Yu et al.   Energies

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