Enhanced EMR-Based Modelling for Electric Urban Buses Performance Studies
This paper presents an advanced methodology focusing on Energetic Macroscopic Representation (EMR)-based modelling for accurate characterization, validation, and simulation of lithium cells in electric urban buses. Specifically tailored to the Karsan eJest minibus, this approach includes detailed cell characterization, rigorous validation processes, and comprehensive vehicle simulations. By leveraging real-world data and EMR techniques, the objective is to establish a robust framework that integrates detailed battery modelling with system-level performance analysis for precise and future aging studies. Through meticulous EMR-based modelling, validation, and vehicle simulation, this work lays a solid foundation for understanding battery dynamics and optimizing operational strategies for long-term performance and sustainability in electric urban transportation.
Authors
- Pascal Messier (ORCID: https://orcid.org/0000-0002-4465-1804)
- Paulo G. Pereirinha (ORCID: https://orcid.org/0000-0002-3514-4544)
- João Pedro F. Trovão (ORCID: https://orcid.org/0000-0002-0795-0901)
- Marta Ferreira (ORCID: https://orcid.org/0000-0002-7065-809X)
Institutions
- Université de Sherbrooke (CA)
- Polytechnic Institute of Coimbra (PT)
- Institut des Sciences et technologies pour une Economie Circulaire des énergies bas carbone (FR)
Publication Details
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1109/vppc63154.2024.10755503
- Primary Topic
- Railway Systems and Energy Efficiency
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Canada Research Chairs
- Mitacs
- Foundation for Science and Technology