The cost function based operation strategy for parallel hybrid cars depends strongly on the state of charge of the battery. This paper describes the influence of different ways of mapping the SOC to a base cost value and that of the restricted use of the battery to enhance its life on the fuel consumption and the charge exchange of the battery. To fulfil the restrictions of battery usage in the algorithm the size of the battery is virtually shrunk. The cost function-based algorithm adapts to the artificially reduced battery capacity and maximises the benefit of the hybrid drivetrain under restricted conditions. With a virtual shrinking of battery size it is possible to limit the use of the battery to SOC areas beneficial for battery health. The parameters 'virtual battery size' and 'slope factor' can be used to optimise the charge usage in combination with fuel consumption. The shifting of the virtual battery inside the real charge area of the real battery means one more degree of freedom by the adaptation of the operational strategy to the battery. The algorithm described adapts to the limited battery capacity by cutting off less efficient drivetrain support. If electric drivetrain support is highly efficient it will be used as if the battery size was unrestricted. Because of this only less efficient drivetrain conditions are avoided and the algorithm will use the electric energy only for more efficient supports. The behavior of the algorithm is also well suited to be used with super capacitors in hybrid energy storage systems.
Virtual battery size in cost function-based operational strategies for parallel hybrid drivetrains
Virtuelle Batteriegröße in Betriebsstrategien auf Kostenfunktionsbasis für parallele Hybridantriebe
2009
6 Seiten, 6 Bilder, 4 Quellen
Conference paper
Storage medium
English
Cost Function Based Adaptive Energy Management in Hybrid Drivetrains
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