The paper will show methods and results for the concept phase of a battery electrical vehicle. For function design more accurate and detailed models are needed. To achieve better simulation results with more complex models a process has to be established to provide the required data. Virtual test procedures have to be defined for standardized testing. The authors have shown that for requirement analysis and system level design a model approach gives useful results which are close to published values for the reference vehicle. The simulation environment can easily be extended to suit needs for complex analysis, like lateral dynamics and thermodynamics. In the development process usually a lot of departments and centre of competences have to work together. Because of the diversity of requirements towards the modelling tool a lot of different tools are used like KULI for thermodynamics or DYMOLA for multiphysic domains. To get valid simulation results for the whole systems a possibility could be to choose one modelling environment and component models have to be derived from the original modelling tool. This poses many problems like validation data management and version control. A way around this problem could be coupling the different tools within a co-simulation tool like EXCITE ACE. This will lead to other problems like numerical stability, simulation speed and costs. But overall this approach looks promising for whole vehicle simulation and will be investigated in the future.
Model-based validation of control strategies for battery electrical vehicles
Modellbasierte Validierung der Regelungsstrategien für batteriebetriebene Elektrofahrzeuge
2009
9 Seiten, 5 Bilder, 3 Tabellen, 12 Quellen
Conference paper
English
Model-based validation of control strategies for battery electrical vehicles
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