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Simulative analysis methods deployed to optimize automotive battery management

 
: Zhang, Zhiqiang; Kokozinski, Rainer; Kirscher, Jérôme; Pelz, Georg

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IEEE Vehicle Power and Propulsion Conference, VPPC 2015 : Montreal, Quebec, Canada 19-22 October 2015
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4673-7637-2 (Electronic)
ISBN: 978-1-4673-7636-5 (USB)
ISBN: 978-1-4673-7638-9 (Print on Demand)
S.835-840
Vehicle Power and Propulsion Conference (VPPC) <2015, Montreal>
Englisch
Konferenzbeitrag
Fraunhofer IMS ()
simulation; active balancing; Battery Management System; experiment planning; multi-disciplinary modeling; analog parasitic

Abstract
Assessing and optimizing the functionality of the various microelectronic components of the powertrain of battery propelled vehicles, is a crucial pre-request to further develop and make sure the electronics could fit well in practical applications. For this purpose, dedicated modeling, simulation and analysis methods have been developed. First parameterizable multidisciplinary system models, covering among others electrical, digital and magnetic domains, with special emphasis on the description of analog parasitic, are developed. The typical values as well as value ranges for the parameters which affect the system performance are considered. Then the simulations are executed with the application of Experiments Planning method. Statistical and metamodeling strategies are adopted to derive metamodels to visualize, analyze and interpret the simulation results, especially the sensitivity of the system behavior to its parameters. A Battery Management System has been chosen to demonstrate the methods. More specifically, the Active Balancing of a 12-series Lithium-Ion cells battery module is investigated: the sensitivity of the energy transfer to the system and component parameters is derived and representative metamodels are created.

: http://publica.fraunhofer.de/dokumente/N-625087.html