Multi-layer optimisation of hybrid energy storage systems for electric vehicles
This research presents a multi-layer optimization framework for hybrid energy storage systems (HESS) for passenger electric vehicles to increase the battery system's performance by combining multiple cell chemistries. Specifically, we devise a battery model capturing voltage dynamics, temperatu...
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Zusammenfassung: | This research presents a multi-layer optimization framework for hybrid energy
storage systems (HESS) for passenger electric vehicles to increase the battery
system's performance by combining multiple cell chemistries. Specifically, we
devise a battery model capturing voltage dynamics, temperature and lifetime
degradation solely using data from manufacturer datasheets, and jointly
optimize the capacity distribution between the two batteries and the power
split, for a given drive cycle and HESS topology. The results show that the
lowest energy consumption is obtained with a hybrid solution consisting of a
NCA-NMC combination, since this provides the best trade-off between efficiency
and added weight. |
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DOI: | 10.48550/arxiv.2408.16507 |