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Model predictive control of highly efficient dual mode energy storage systems including DC/DC converter

: Bartholomäus, Ralf; Lehmann, Thomas; Schneider, Uwe


Watzenig, Daniel (Ed):
Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management
Cham: Springer International Publishing, 2017
ISBN: 978-3-319-57444-8 (Print)
ISBN: 978-3-319-57445-5 (Online)
ISBN: 3-319-57444-2
Book Article
Fraunhofer IVI ()
predictive energy management; hybrid electric vehicle; hybrid vehicle

Combining lithium-ion batteries with supercapacitors within the storage systems of electric and hybrid vehicles is a way to fulfil the demand for both a high energy content and a high power level. In addition, it is possible to avoid power peaks within the lithium-ion batteries, which leads to a significantly increased lifetime. In order to fully exploit this potential, it is necessary to achieve optimal control of the power distribution between the two storage components. For this purpose, a predictive control strategy is developed that uses a short-term prediction of the vehicle’s expected power demand to calculate the current setpoint for the supercapacitors in real-time. In order to accurately follow that setpoint a highly dynamic DC/DC converter is developed.