Exploring Synergies and Simulating Performance across Diverse Battery Types through Hybridization

The increasing demands on electric vehicles, particularly concerning factors like extended range and prolonged lifespan of energy storage components, emphasize the need for an advanced evolution in battery development for electric motor propulsion. Given the inherent trade-offs associated with different battery types, the exploration of amalgamating them into a hybrid battery storage system emerges as a strategically promising avenue.

The primary objective of this research initiative is to initially acquire diverse battery types, with meticulous attention to key metrics encompassing capacity, aging behavior, and related characteristics. Subsequently, these batteries, along with their aging dynamics, will undergo comprehensive simulation in either Matlab or Python. Leveraging these simulations, the research will systematically explore various scenarios pertaining to the synergistic combination of distinct battery types. In the conclusive phase, a rigorous and multifaceted evaluation will be conducted to derive insights and draw conclusions from the simulation results.

Matlab or Python

Will be provided depending on the skills of the participants.

Additional information

Capacity Four IREP students
Project available for Spring and Summer 2024
Credits 12 – 18 ECTS
Available via Remote Yes
Supervisor Sarah Schwarz, M.Sc.