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Main Authors: Andriesse, Wouter, van Kampen, Jorn, Hofman, Theo
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2408.16507
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author Andriesse, Wouter
van Kampen, Jorn
Hofman, Theo
author_facet Andriesse, Wouter
van Kampen, Jorn
Hofman, Theo
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2408_16507
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multi-layer optimisation of hybrid energy storage systems for electric vehicles
Andriesse, Wouter
van Kampen, Jorn
Hofman, Theo
Systems and Control
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.
title Multi-layer optimisation of hybrid energy storage systems for electric vehicles
topic Systems and Control
url https://arxiv.org/abs/2408.16507