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.

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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

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article

Enhanced EMR-Based Modelling for Electric Urban Buses Performance Studies

Pascal Messier, Paulo G. Pereirinha, João Pedro F. Trovão, Marta Ferreira
Railway Systems and Energy Efficiency
article

Enhanced EMR-Based Modelling for Electric Urban Buses Performance Studies

Pascal Messier, Paulo G. Pereirinha, João Pedro F. Trovão, Marta Ferreira
article en

Abstract

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.

Université de Sherbrooke (CA), Polytechnic Institute of Coimbra (PT), Institut des Sciences et technologies pour une Economie Circulaire des énergies bas carbone (FR)
Canada Research Chairs, Mitacs, Foundation for Science and Technology
Sustainable cities and communities
Openalex Percentile: Top 70%
Railway Systems and Energy Efficiency
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