Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

D Liu, J Pang, J Zhou, Y Peng, M Pecht - Microelectronics Reliability, 2013 - Elsevier
State of health (SOH) estimation plays a significant role in battery prognostics. It is used as a
qualitative measure of the capability of a lithium-ion battery to store and deliver energy in a …

A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter

F Li, J Xu - Microelectronics Reliability, 2015 - Elsevier
State of health (SOH) estimation for batteries is a key component in the prognostics and
health management (PHM) of battery driven systems. Due to the complicated operating …

A generic model-free approach for lithium-ion battery health management

G Bai, P Wang, C Hu, M Pecht - Applied Energy, 2014 - Elsevier
Accurate estimation of the state-of-charge (SoC) and state-of-health (SoH) for an operating
battery system, as a critical task for battery health management, greatly depends on the …

Regression models using fully discharged voltage and internal resistance for state of health estimation of lithium-ion batteries

KH Tseng, JW Liang, W Chang, SC Huang - Energies, 2015 - mdpi.com
Accurate estimation of lithium-ion battery life is essential to assure the reliable operation of
the energy supply system. This study develops regression models for battery prognostics …

A self-cognizant dynamic system approach for prognostics and health management

G Bai, P Wang, C Hu - Journal of Power Sources, 2015 - Elsevier
Prognostics and health management (PHM) is an emerging engineering discipline that
diagnoses and predicts how and when a system will degrade its performance and lose its …

Online Real-Time SOH Prediction and Anomaly Detection Under Dynamic Load Conditions and Nonstandard Practice

S Lee, A Kim - IEEE Access, 2023 - ieeexplore.ieee.org
For effective battery management, accurate prediction of battery state-of-health (SOH) and
timely detection of anomalies is required. Despite recent advances, real-world battery …

A self-cognizant dynamic system approach for battery state of health estimation

G Bai, P Wang - 2014 International Conference on Prognostics …, 2014 - ieeexplore.ieee.org
Accurate estimation of the state-of-charge (SoC) and state-of-health (SoH) for an operating
battery, as a critical task for battery health management, greatly depends on the validity and …

A Self-Cognizant Dynamic System Approach for Health Management: Lithium-Ion Battery Case Study

G Bai, P Wang - International Design Engineering …, 2014 - asmedigitalcollection.asme.org
Safe and reliable operation of lithium-ion batteries as major energy storage devices is of
vital importance, as unexpected battery failures could result in enormous economic and …

Prognostics for State of Health Estimation of Battery System Under Uncertainty Based on Adaptive Learning Technique

F Li, Y Wang, D Wu - Proceedings of the Ninth International Conference on …, 2015 - Springer
This paper addresses the State of health (SOH) estimation for system in the prognostics and
health management (PHM) of the electronics systems. Due to complicated operation …

Is There Room for Theory in Data Science? Encoding Physics into Machine Learning Algorithms

N Dawson-Elli, VR Subramanian - … Society Meeting Abstracts …, 2018 - iopscience.iop.org
Batteries are complex electrochemical devices whose short-term and long-term operational
lives are highly dependent on their construction, materials, and use cases. Models have …