Work

Multi-layer optimisation of hybrid energy storage systems for electric vehicles

Year: 2024
Type: conference-paper
Abstract: 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.
Language: English
Open Access status: green
OpenAlex ID: W4404563760
FWCI: 1.676
Cites: 11
Cited by: 3
Related to: 10