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Lithium-Ion Battery End-of-Discharge Time Estimation and Prognosis based on Bayesian Algorithms and Outer Feedback Correction Loops: A Comparative Analysis
(A Comparative Analysis. In the Annual Conference of the Prognostics and Health Management Society 2015A Comparative Analysis. In the Annual Conference of the Prognostics and Health Management Society 2015, 2015-08-24)
Battery energy systems are currently one of the most common power sources found in mobile electromechanical devices. In all these equipment, assuring the autonomy of the system requires to determine the battery state-of-charge ...
Particle-filtering-based prognostics for the state of maximum power available in lithium-ion batteries at electromobility applications
((IEEE) Institute of Electrical and Electronics Engineers, 2020)
Nowadays, electric vehicles such as cars and bicycles are increasing their popularity due to the rising environmental consciousness. The autonomy required by these means of transport has marked a significant and steady ...
Characterization of the degradation process of lithium-ion batteries when discharged at different current rates
(05/08/2018)
The use of energy storage devices, such as lithium-ion batteries, has become popular in many different domains and applications. Hence, it is relatively easy to find literature associated with problems of battery state-of-charge ...
Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design
(Elsevier Ltd, 2018)
System states are related, directly or indirectly, to health condition indicators. Indeed, critical system failures can be efficiently characterized through a state space manifold. This fact has encouraged the development ...
The Impact of Lithium-Ion Battery Polarising Impedance Modelling on End-of-Discharge Prognosis Accuracy
(Elsevier B.V., 2018)
In Lithium-Ion batteries, the polarising impedance is an important characteristic that has been shown to be a complex function of, among others, both the state of charge and the demanded current. Therefore within a prognostic ...
Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms
(Elsevier Ltd, 2019)
This article presents a holistic framework for the design, implementation and experimental validation of Battery Management Systems (BMS) in rotatory-wing Unmanned Aerial Vehicles (UAVs) that allows to accurately (i) ...
Guidelines for the characterization of the internal impedance of lithium-ion batteries in PHM algorithms
(Prognostics and Health Management Society, 2018)
This article aims to describe the most important aspects to consider when using the concept of internal impedance in algorithms that focus on characterizing the degradation of lithium-ion (Li-ion) batteries. The first part ...
Characterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach
(Fourth European Conference of the Prognostics and Health Management Society 2018Fourth European Conference of the Prognostics and Health Management Society 2018, 2018-07-01)
This article proposes a Similarity-Based-Modeling (SBM) approach capable of characterizing the degradation process of a lithium-ion (Li-ion) battery when discharged under different current rates and different State-of-Charge ...
Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles
(IEEE, 2015)
We present the implementation of a particle-filteringbased
prognostic framework that utilizes statistical characterization
of use profiles to (i) estimate the state-of-charge (SOC), and (ii)
predict the discharge time ...
A fast-running failure prognostic algorithm based on a non-homogeneous markov chain
(Universidad de Chile, 2021)
Typically, model-based prognostic algorithms estimate the remaining-useful-life distribution by characterizing the probable system trajectories described through state-space models. Unfortunately, as the state dimension ...