Multi-layer optimisation of hybrid energy storage systems for electric vehicles
<|reference_start|>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, 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.<|reference_end|>
@article{andriesse2024multi-layer,
    title={Multi-layer optimisation of hybrid energy storage systems for electric
  vehicles},
    author={Wouter Andriesse, Jorn van Kampen, and Theo Hofman},
    journal={arXiv preprint arXiv:2408.16507},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.16507},
    primaryClass={eess.SY cs.SY}
}