Now showing items 1-6 of 6
Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity
(Annual Conference of the Prognostics and Health Management Society 2017, 2017-08-18)
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new ...
Procedure for Selecting a Transmission Mode Dependent on the State-of-Charge and State-of-Health of a Lithium-ion Battery in Wireless Sensor Networks with Energy Harvesting Devices
(Proceedings of the Annual Conference of the PHM Society 2018, 2018-09-24)
Diverse methods and considerations have been proposed to manage the available energy in an efficient manner in Wireless Sensor Networks. By incorporating Energy Harvesting Devices in these type of networks it is possible ...
Electric Bicycle Energy Management Given an Elevation Traveling Profile
(Annual Conference of the Prognostics and Health Management Society 2017, 2017-09-06)
This research proposes a method for energy management in electric bicycles with Lithium-Ion batteries. This method optimizes the way energy is consumed to maximize the rider’s comfort, subject to constraints on the battery ...
Characterizing the degradation process of Lithium-Ion Batteries using a Similarity-Based-Modeling Approach
(Fourth 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 State-of-Health Estimation and End-of-Life Prognosis for Lithium-Ion Batteries at Operation Temperature
(Annual Conference of the PHM Society 2016, 2016-08-15)
We present the implementation of a particle-filtering-based framework that estimates the State-of-Health (SOH) and predicts the End-of-Life (EOL) of Lithium-Ion batteries, efficiently incorporating variations of ambient ...
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 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 ...