Optimal Sizing and Analysis of Hybrid Battery Packs for Electric Racing Cars
Stefano Radrizzani
DEIB PHD Student
DEIB - Conference Room (Building 20)
September 16th, 2022
11.30 am
Contacts:
Stefano Radrizzani
Research Line:
Control systems
DEIB PHD Student
DEIB - Conference Room (Building 20)
September 16th, 2022
11.30 am
Contacts:
Stefano Radrizzani
Research Line:
Control systems
Abstract
On September 16th, 2022 at 11.30 am Stefano Radrizzani, PHD Student in Information Technology, will hold a seminar on "Optimal Sizing and Analysis of Hybrid Battery Packs for Electric Racing Cars" in DEIB Conference Room.
The electrification trend is spreading not only in the field of traditional vehicles, but also in the racing one, where more and more power and mileage are going to be required in the upcoming future. As an example, the next generation of Formula E will increase power up to 600 kW, almost triplicating the actual standards. In this seminar, we investigate the potential benefits of hybrid battery packs when employed in a racing scenario. Hybrid battery packs combine different cells technologies aiming at exploiting their respective high power and high energy densities. To this purpose, we formulated a co-design optimization problem that finds the optimal hybrid battery pack configuration to minimize the race time on a given circuit. As a case study, the next generation of Formula E on the 2021 Rome Formula E ePrix is considered.
The electrification trend is spreading not only in the field of traditional vehicles, but also in the racing one, where more and more power and mileage are going to be required in the upcoming future. As an example, the next generation of Formula E will increase power up to 600 kW, almost triplicating the actual standards. In this seminar, we investigate the potential benefits of hybrid battery packs when employed in a racing scenario. Hybrid battery packs combine different cells technologies aiming at exploiting their respective high power and high energy densities. To this purpose, we formulated a co-design optimization problem that finds the optimal hybrid battery pack configuration to minimize the race time on a given circuit. As a case study, the next generation of Formula E on the 2021 Rome Formula E ePrix is considered.
