Technical Papers
Sep 9, 2022

Determining Battery and Fast Charger Configurations to Maximize E-Mileage of Electric Buses under Budget

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 11

Abstract

Battery electric buses (BEBs) are being planned in urban areas around the world to curb emission. An efficiently designed electric bus system offers the dual advantage of clean public transportation and reduced private vehicle use. However, electric (e) buses are costly and require large investment in charging infrastructure, and replacing an entire fleet of diesel buses with e-buses in one shot is financially infeasible for most, if not all, transit agencies. We propose a framework for partial electrification in the initial phase of a multiphase approach to bus electrification. Given a budget, our optimization model identifies routes (and their battery sizes) and terminals (and number and size of fast charges at them) for electrification and accounts for electricity charges, while maximizing the total mileage (e-mileage) of electric buses on the selected routes. The model was applied to the bus network of New Delhi, India, one of the largest metropolitan areas in the world. Sensitivity analysis highlights the importance of two key parameters (opportunity charging duration and budget) for the e-bus system design and their impact on the daily e-mileage, the primary electrification measure in our study. Model results will help urban transit agencies in developing a plan for transitioning to a sustainable e-bus system in a phased manner and will also help in assessing the needs for future electrification phases.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

The authors are thankful to the Department of Transport, Government of the National Capital Territory of Delhi (GNCTD) along with Indraprastha Institute of information Technology, Delhi (IIIT-Delhi) for creating and publishing open-source transit data sets on the OTD platform www.otd.delhi.gov.in.

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Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 11November 2022

History

Received: Aug 19, 2021
Accepted: Jul 7, 2022
Published online: Sep 9, 2022
Published in print: Nov 1, 2022
Discussion open until: Feb 9, 2023

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Authors

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Ph.D. Candidate, Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 10016, India. ORCID: https://orcid.org/0000-0002-9772-0332. Email: [email protected]
Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India (corresponding author). ORCID: https://orcid.org/0000-0002-7441-3989. Email: [email protected]

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  • Optimization framework for integrated battery electric bus planning and charging scheduling, Transportation Research Part D: Transport and Environment, 10.1016/j.trd.2023.103697, 118, (103697), (2023).

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