Electrical Energy Storage in Transportation Systems.

Cover -- Title Page -- Copyright -- Contents -- Foreword -- Introduction -- 1. Issues in Electrical Energy Storage for Transport Systems -- 1.1. Storage requirements for transport systems -- 1.2. Difficulties of storing electrical energy -- 1.3. The electrical power supply of transport systems -- 1.4. Storage management -- 1.4.1. Specifications -- 1.4.2. Supervisor structure -- 1.4.3. Functional graphs -- 1.4.4. Membership functions -- 1.4.5. Functional graphs -- 1.4.6. Rules -- 1.4.7. Indicators -- 1.4.8. Optimization of supervisor parameters -- 1.4.9. Type-2 fuzzy logic -- 1.4.10. Methodologies for the development of energy management in a storage system -- 2. Local DC Grid with Energy Exchange for Applications in Aviation -- 2.1. Introduction -- 2.2. Onboard grid -- 2.3. Local DC grid -- 2.4. Supervisor design methodology -- 2.5. Specifications -- 2.5.1. Objectives -- 2.5.2. Constraints -- 2.5.3. Means of action -- 2.6. Supervisor structure -- 2.6.1. Input values -- 2.6.2. Output values -- 2.7. Selection of design tools -- 2.8. Identification of different operating states: the functional graph -- 2.8.1. General functional graph -- 2.8.2. Functional subgraphs -- 2.9. Tools -- 2.10. Membership functions -- 2.11. Operational graph -- 2.12. Fuzzy rules -- 2.13. Experimental validation -- 2.13.1. Supervisor implementation -- 2.13.2. Experimental configuration -- 2.13.3. Results and analyses -- 2.14. Fuzzy supervisor optimization -- 2.14.1. Supervisor optimization methodology based on fuzzy rules -- 2.14.2. Application at levels N1 and N2 -- 2.15. Conclusion -- 3. Electric and Hybrid Vehicles -- 3.1. Introduction -- 3.2. Storage technologies in hybrids and EVs -- 3.3. Development of EVs and interaction with electric power grids -- 3.3.1. Issues in the development of EVs -- 3.3.2. Charge of EVs -- 3.3.3. Issues in the electric power grid integration.

3.4. EV charging supervision -- 3.4.1. Introduction -- 3.4.2. EV charging models -- 3.4.3. Electric power distribution grid -- 3.4.4. Supervision -- 3.4.5. Results -- 3.5. The reversible charge of EVs -- 3.5.1. Introduction -- 3.5.2. Vehicle to grid and contribution of the reversible charge to the electric power grids -- 3.5.3. Vehicle-to-home and contribution of the reversible charge to buildings -- 3.6. Configurations and operating principle of HV -- 3.6.1. Hybridization levels -- 3.6.2. Configurations of power trains -- 3.7. Energy management in a hybrid vehicle -- 3.7.1. Introduction -- 3.7.2. Fuzzy logic for energy management -- 3.7.3. Type-2 fuzzy logic -- 3.7.4. Application to the energy management of an EV -- 3.8. Conclusion -- 4. Railway System: Diesel-Electric Hybrid Power Train -- 4.1. Introduction -- 4.2. Design of an autonomous hybrid locomotive -- 4.2.1. Introduction to the issues in design and energy management within the fram -- 4.2.2. Frequency management strategy -- 4.2.3. Importance and processing of railway assignments -- 4.2.4. Sequential design: from dimensioning to analysis -- 4.2.5 Implementation of the PLATHEE demonstrator -- 4.3. Conclusion -- 4.4. Exercise: definition of the energy requirements in the railway sector and application of storage to electric traction -- 4.4.1. Kinematic study of a train -- 4.4.2. Study on energy profile of a train -- 4.4.3. Basic design and comparison of energy storage system technologies for railway applications -- 4.5. Appendices -- 4.5.1. Technical characteristics of storage sources and components carried on board the PLATHEE -- 5. Railway System: Hybrid Railway Power Substation -- 5.1. Introduction -- 5.2. Hybrid railway power substations -- 5.2.1. Issues in the railway electrification system -- 5.2.2. The HRPS solution -- 5.2.3. State-of-the-art of the HRPS.

5.3. Energy management in an HRPS -- 5.3.1. Methodology -- 5.3.2. Technical specifications -- 5.3.3. Supervisor structure -- 5.3.4. Determination of the functional graphs of the short-term supervisor -- 5.3.5. Membership functions -- 5.3.6. Determination of functional graphs -- 5.3.7. Fuzzy rules -- 5.3.8. Performance indicators -- 5.3.9. Modeling and results -- 5.3.10. Energy management optimization -- 5.4. Experimentation of an HRPS and sensitivity analysis -- 5.5. Railway smart grid perspective -- 5.6. Conclusion -- 5.7. Acknowledgments -- Bibliography -- Index -- Other titles from iSTE in Electrical Engineering -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.