Usage based lifing pdf#

238000004458 analytical method Methods 0.000 description 7.230000001502 supplementation Effects 0.000 claims description 4.230000010006 flight Effects 0.000 claims abstract description 71.Assignors: UNITED TECHNOLOGIES CORPORATION Status Active legal-status Critical Current Anticipated expiration legal-status Critical Links ASSIGNOR(S) HEREBY CONFIRMS THE CHANGE OF ADDRESS. TO CORRECT THE RECEIVING PARTY ADDRESS PREVIOUSLY RECORDED AT REEL: 054062 FRAME: 0001. Assignors: UNITED TECHNOLOGIES CORPORATION Assigned to RAYTHEON TECHNOLOGIES CORPORATION reassignment RAYTHEON TECHNOLOGIES CORPORATION CORRECTIVE ASSIGNMENT TO CORRECT THE AND REMOVE PATENT APPLICATION NUMBER 11886281 AND ADD PATENT APPLICATION NUMBER 14846874. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Priority to US15/161,323 priority Critical patent/US10234359B2/en Application filed by Raytheon Technologies Corp filed Critical Raytheon Technologies Corp Priority to US16/264,760 priority patent/US10704989B2/en Publication of US20190219484A1 publication Critical patent/US20190219484A1/en Application granted granted Critical Publication of US10704989B2 publication Critical patent/US10704989B2/en Assigned to RAYTHEON TECHNOLOGIES CORPORATION reassignment RAYTHEON TECHNOLOGIES CORPORATION CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Original Assignee Raytheon Technologies Corp Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.) Midgley Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Active Application number US16/264,760 Other versions US20190219484A1

Usage based lifing pdf#

Google Patents Gas turbine engine with lifing calculations based upon actual usageĭownload PDF Info Publication number US10704989B2 US10704989B2 US16/264,760 US201916264760A US10704989B2 US 10704989 B2 US10704989 B2 US 10704989B2 US 201916264760 A US201916264760 A US 201916264760A US 10704989 B2 US10704989 B2 US 10704989B2 Authority US United States Prior art keywords engine component set forth monitored flight Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents US10704989B2 - Gas turbine engine with lifing calculations based upon actual usage Results showed that our hybrid battery prognosis model can be successfully calibrated, even with a limited number of observations.US10704989B2 - Gas turbine engine with lifing calculations based upon actual usage

We validate our approach using data publicly available through the NASA Prognostics Center of Excellence repository. In this approach, while most of the input-output relationship is captured by Nernst and Butler-Volmer equations, data-driven kernels reduce the gap between predictions and observations. In this paper, we present a hybrid modeling approach merging reduced-order models and neural networks. Unfortunately, these simplifications lead to residual discrepancy between model predictions and observed data. Therefore, reduced order models are often used due to their ability to capture the overall battery discharge. Building accurate models for battery state of charge and state of health based on first principles is challenging due to the complex electrochemistry that governs battery operations and computational complexity required to solve them. The ability to model and forecast the remaining useful life of these batteries enables UAV reliability assurance. Lithium-ion batteries are commonly used to power unmanned aircraft vehicles (UAVs).