Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials

Sunilkumar Raghuraman, Sunilkumar Raghuraman, Daniel Baumann, Marc Schindewolf, Eric Sax

2024

Abstract

In response to the growing need for sustainable mobility amidst global challenges like climate change and urbanization, ensuring energy-efficient operation of Electric City Buses (ECBs) is crucial. This study initially utilizes techniques associated with explainable artificial intelligence, such as SHapley Additive ExPlanations (SHAP), to determine the impact of various factors such as vehicle speed, acceleration, braking on drivetrain consumption. The data is categorized into distinct scenarios such as acceleration, starting, curve, uphill and downhill for this analysis. In driving scenarios such as curves, uphill, or downhill, the position of the brake pedal, along with the accelerator pedal and vehicle speed, were identified as significant factors affecting drivetrain consumption. Secondly, the study delves into analyzing driving behavior during bus stop entries, employing methods like Deep Autoencoder-based Clustering (DAC) and Self-Organizing Map (SOM). In the results of the DAC and SOM analysis, it was found that Cluster 2, identified through the DAC model, exhibited substantial energy consumption, characterized by higher acceleration and lesser brake pedal usage. Conversely, the SOM analysis showed that the orange and blue clusters have greater energy efficiency, with a higher distance covered and lower energy consumption, contrasting with other clusters that consumed more energy for reaching the busstop.

Paper Citation

in Harvard Style

Raghuraman S., Baumann D., Schindewolf M. and Sax E. (2024). Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials. In Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-707-8, SciTePress, pages 330-337. DOI: 10.5220/0012758700003756

in Bibtex Style

@conference{data24,
author={Sunilkumar Raghuraman and Daniel Baumann and Marc Schindewolf and Eric Sax},
title={Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials},
booktitle={Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2024},
pages={330-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012758700003756},
isbn={978-989-758-707-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Influential Factors on Drivetrain Consumption in Electric City Buses and Assessing the Optimization Potentials
SN - 978-989-758-707-8
AU - Raghuraman S.
AU - Baumann D.
AU - Schindewolf M.
AU - Sax E.
PY - 2024
SP - 330
EP - 337
DO - 10.5220/0012758700003756
PB - SciTePress