En-route charge scheduling for an electric bus network: Stochasticity and real-world practice
Journal article, 2024

Bus electrification, with its high energy conversion efficiency and zero tailpipe emissions, has a significant impact on addressing the petroleum crisis and lowering carbon emissions in urban transportation. However, long charging times and uncertain operational risks hinder their wider adoption. This paper explores the robust en-route charge scheduling problem for electric buses to overcome uncertain energy consumption while ensuring charging accessibility. The problem is first described as a deterministic mixed-integer linear programming model that employs a time-of-use electricity price to balance the charging demand. Additionally, a robust counterpart model is formulated to account for stochastic energy. Numerical studies are designed to evaluate the proposed model in a real network, followed by a sensitivity analysis to investigate the impact of battery type, fleet composition, and depth of discharge on the charging schedule. The results show that the robust optimization model provides system feasibility against uncertainty with a comparable price and emissions.

Electric bus

En-route charging

Robust optimization

Charge scheduling

Stochastic energy consumption

Author

Ziling Zeng

Tsinghua University

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Tingsong Wang

Shanghai University

Xiaobo Qu

Tsinghua University

Transportation Research Part E: Logistics and Transportation Review

1366-5545 (ISSN)

Vol. 185 103498

Areas of Advance

Transport

Subject Categories

Energy Engineering

Transport Systems and Logistics

Energy Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.tre.2024.103498

More information

Latest update

8/6/2024 1