The demands on vehicle electric power systems are rapidly increasing. Apart from modifications and optimizations of the existing systems, the introduction of a higher dc voltage level and new supply architectures is discussed. Especially the demands on the energy storage devices will drastically change. In the future, storage devices have to be fully included into the computer-based development process of vehicle electric systems. Hence, powerful simulation models are required, representing a good compromise between simulation precision and computation time. This thesis reveals that non-linear lumped-element equivalent- circuit models meet the above described demands in the most promising manner. The power of this modelling concept is demonstrated for supercapacitors, lithium-ion and VRLA batteries. To determine suitable equivalent-circuit topologies as well as to parameterize the models, the method of electrochemical impedance spectroscopy is employed. Sets of impedance spectra are systematically measured. In addition, for a meaningful interpretation of the acquired impedance data, the most important aspects of the theory of the modelled energy storage devices are briefly reviewed. After this, the proposed simulation models are fully parameterized, implemented into a time domain simulation tool and finally thoroughly verified. Impedance-based simulation models of VRLA batteries are currently being successfully employed by the research department of a large car manufacturer. Due to its unique versatility, the impedance-based modeling approach can easily be adapted to other storage technologies in the future.
Impedance-based simulation models for energy storage devices in advanced automotive power systems
Impedanz-basierte Simulationsmodelle für Energiespeichergeräte in fortschrittlichen automobilen Energiesystemen
Aachener Beiträge des ISEA (ABISEA) ; 31 ; 1-138
2003
138 Seiten, Bilder, Tabellen, 124 Quellen
Theses
English
Simulation of energy conversion in advanced automotive vehicles
Automotive engineering | 2001
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