04996nam 2200649 a 450 991014160410332120200520144314.01-118-56181-31-118-58800-21-299-46532-31-118-58795-2(CKB)2670000000336594(EBL)1120447(OCoLC)826009134(SSID)ssj0000831567(PQKBManifestationID)11482943(PQKBTitleCode)TC0000831567(PQKBWorkID)10873438(PQKB)11694704(MiAaPQ)EBC1120447(Au-PeEL)EBL1120447(CaPaEBR)ebr10684953(CaONFJC)MIL477782(PPN)18562796X(EXLCZ)99267000000033659420120625d2012 uy 0engurcn|||||||||txtccrIntegrated design by optimization of electrical energy systems[electronic resource] /edited by Xavier RoboamLondon ISTE Ltd.20121 online resource (310 p.)ISTEDescription based upon print version of record.1-84821-389-1 Includes bibliographical references and index.Cover; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1. Mission and Environmental Data Processing; 1.1. Introduction; 1.2. Considerations of the mission and environmental variables; 1.2.1. Mission representation through a nominal operating point; 1.2.2. Extraction of a "sizing" temporal chronogram; 1.2.3. Representation of an environmental variable or mission resulting from statistical analysis; 1.3. New approach for the characterization of a "representative mission"; 1.3.1. Characterization indicators of the mission and environmental variables1.3.2. Mission and environmental variables at the heart of the system: an eminently systemic bidirectional coupling 1.4. Classification of missions and environmental variables; 1.4.1. Classification without a priori assumption on the number of classes; 1.4.2. Mission classification for hybrid railway systems; 1.5. Synthesis of mission and environmental variable profiles; 1.5.1. Mission or environmental variable synthesis process; 1.5.2. Elementary patterns for profile generation; 1.5.3. Application to the compacting of a wind speed profile1.6. From classification to simultaneous design by optimization of a hybrid traction chain 1.6.1. Modeling of the hybrid locomotive; 1.6.2. Optimization model; 1.6.3. Mission classification; 1.6.4. Synthesis of representative missions; 1.6.5. Simultaneous design by optimization; 1.6.6. Design results comparison; 1.7. Conclusion; 1.8. Bibliography; Chapter 2. Analytical Sizing Models for Electrical Energy Systems Optimization; 2.1. Introduction; 2.2. The problem of modeling for synthesis; 2.2.1. Modeling for synthesis; 2.2.2. Analytical and numerical modeling2.3. System decomposition and model structure 2.3.1. Advantage of decomposition; 2.3.2. Application to the example of the hybrid series-parallel traction chain for the hybrid electrical heavy vehicle; 2.4. General information about the modeling of the various possible components in an electrical energy system; 2.5. Development of an electrical machine analytical model; 2.5.1. The various physical fields of the model and the associated methods for solving them; 2.5.2. Application to the example of a hybrid electrical heavy vehicle: modeling of a magnet surface-mounted synchronous machine2.6. Development of an analytical static converter model 2.6.1. The various physical fields of the model and associated resolution methods; 2.6.2. Application to the example of a hybrid electrical heavy vehicle: modeling of inverters feeding synchronous machines; 2.7. Development of a mechanical transmission analytical model; 2.7.1. The various physical fields of the model and associated resolution methods; 2.7.2. Application to the example of a hybrid electric heavy vehicle: modeling of the Ravigneaux gear set; 2.8. Development of an analytical energy storage device model2.9. Use of models for the optimum sizing of a system"This book presents the vision of French academics about systemic design methodologies applied to electrical energy systems. It is especially dedicated to discussion of analysis and system management, as well as modeling and sizing tools"--Provided by publisher.ISTEElectric power systemsDesign and constructionElectric power systemsDesign and construction.621.31Roboam Xavier867762MiAaPQMiAaPQMiAaPQBOOK9910141604103321Integrated design by optimization of electrical energy systems2196482UNINA