Paper Info
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 software 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.
Year
DOI
Venue
2022
10.1109/CODIT55151.2022.9804068
2022 8TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'22)
DocType
ISSN
Citations 
Conference
2576-3555
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Aissam Meddour100.34
Nassim Rizoug200.34
Anthony Babin300.34
Christopher Vagg400.34
Richard Burke500.34