Intelligent diagnosis scheme applied to model hybrid energy power generation system in presence of soft faults requirements: An FDI novel strategy

Abstract

This article is a preliminary version of several improvements developed in last books and articles published by several authors in the actual theme of Scheduling for Hybrid Electrical Power Generation system. The hybrid system is implement using 1 aero-generator system, 1 stirling motor connected with 1 generator, one solar kit and a battery system bank to transfer the energy conversion a controlled load system. The principal contribution is to obtain the Intelligent Diagnosis Scheme using a Fault Detection and Isolation (F.D.I.) Architecture describe using a Computational Equipment. Matlab Environment where the algorithms were coded and linked using Labview with a N.I. DAQ presents the results obtained by the F.D.I. structure. The models are evaluated in normal function and in presence of faults to determine the relationship between them. The final application of this scheme is developed in the insertion of novel Efficient Energy structure in automotive architectures. The potential final user is to test banks for Audi Laboratory Centre.