@inproceedings{bc6404e9feeb48f1a4826da479d8bc66,
title = "The influence of the battery technology choice on motor optimisation for electric vehicles",
abstract = "This paper investigates the impact of battery technology on the electric motor's optimization process for an electric vehicle application. Matlab and Ansys Electronics are used to conduct the simulations. The needed autonomy is estimated for the WLTC driving cycle using a dynamic vehicle model while considering the storage system mass calculated with a connected sizing algorithm. The Motor model is constructed using the finite element soft-ware Ansys electronics. The genetic algorithm will determine its geometrical parameters while considering the new power and torque demands, including the storage system weight. The comparison of the optimization results was carried out for four battery technologies that have promising characteristics for an automotive application. The results discussed active material cost and performances evaluated for the entire selected driving cycle.",
author = "Aissam Meddour and Nassim Rizoug and Anthony Babin and Christopher Vagg and Richard Burke",
year = "2022",
month = jun,
day = "30",
doi = "10.1109/CoDIT55151.2022.9804068",
language = "English",
isbn = "978-1-6654-9608-7",
series = "International Conference on Control, Decision and Information Technologies",
publisher = "IEEE",
pages = "1635--1640",
booktitle = "2022 8th International Conference on Control, Decision and Information Technologies (CoDIT)",
address = "USA United States",
}