State of health assessment for lithium batteries based on voltage–time relaxation measure

2016 ◽  
Vol 194 ◽  
pp. 461-472 ◽  
Author(s):  
Issam Baghdadi ◽  
Olivier Briat ◽  
Philippe Gyan ◽  
Jean Michel Vinassa
Keyword(s):  
Lithium Batteries ◽  
Health Assessment ◽  
State Of Health ◽  
Time Relaxation

scholarly journals State-of-Health Assessment for Aero-Engine Based on Density-Distance Clustering and Fuzzy Bayesian Risk

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 9996-10011
Author(s):  
Ning Ma ◽  
Fan Yang ◽  
Laifa Tao ◽  
Mingliang Suo
Keyword(s):  
Health Assessment ◽  
State Of Health ◽  
Bayesian Risk ◽  
Aero Engine

scholarly journals Carbon Deposition Diagnostics for Reliability and State-of-Health Assessment of SOFC

2018 ◽  
Vol 85 (4) ◽  
pp. 25-32 ◽  
Author(s):  
Alexandra Ploner ◽  
Anke Hagen ◽  
Anne Hauch
Keyword(s):  
Carbon Deposition ◽  
Health Assessment ◽  
State Of Health

scholarly journals Fractional-order model identification for state of health assessment of solid-oxide fuel cells

2018 ◽  
Vol 51 (24) ◽  
pp. 849-854 ◽  
Author(s):  
Boštjan Dolenc ◽  
Gjorgji Nusev ◽  
Vanja Subotić ◽  
Christoph Hochenauer ◽  
Nicole Gehring ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Solid Oxide Fuel Cells ◽  
Fractional Order ◽  
Health Assessment ◽  
Model Identification ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
State Of Health ◽  
Order Model ◽  
Fractional Order Model

scholarly journals SOC and SOH Monitoring Algorithms for Lithium Batteries Using Multilayer Neural Networks

10.29007/m89x ◽  
2020 ◽  
Author(s):  
Jong Hyun Lee ◽  
Hyun Sil Kim ◽  
In Soo Lee
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Monitoring System ◽  
Lithium Batteries ◽  
Lithium Battery ◽  
Discharge Voltage ◽  
State Of Charge ◽  
State Of Health ◽  
Soc Estimation ◽  
Multilayer Neural Networks

This paper presents a battery monitoring system using a multilayer neural network (MNN) for state of charge (SOC) estimation and state of health (SOH) diagnosis. In this system, the MNN utilizes experimental discharge voltage data from lithium battery operation to estimate SOH and uses present and previous voltages for SOC estimation. From experimental results, we know that the proposed battery monitoring system performs SOC estimation and SOH diagnosis well.

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