Review of the energy forecasting and scheduling model for electric buses

Lek Keng Lim, Zarina Ab Muis, Wai Shin Ho, Haslenda Hashim and Cassendra Phun Chien Bong

Energy, 2023, vol. 263, issue PD

Abstract: Electric buses are getting more interest to be implemented in the public transport sector by different countries as a carbon mitigation strategy. However, there are a few issues with electric buses such as limited driving range and long recharging time compared to the conventional diesel bus. Due to its limited energy storage, estimation of the energy consumption for the electric buses becomes a crucial research area to prevent sufficient energy for electric buses during the service. The long recharging time of the electric buses requires a vehicle and a charging scheduling to ensure fulfilling the passenger demand without compromising the energy demand. The paper will review the state-of-the-art model for the energy forecasting model of the electric buses and electric bus charging scheduling models. The paper then compares the parameter in the energy forecasting model, the optimization objective, the charger technology, the charging pattern, and the constraint in the electric bus scheduling model. The purpose is to provide a well-structured comprehensive review on these energy forecasting and electric bus charging scheduling for engineers, researchers, investors, policy makers, bus depot companies, and other interested parties.

Keywords: Optimization; Electric buses; Energy forecasting; Bus scheduling; Charging scheduling (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222026597

DOI: 10.1016/j.energy.2022.125773

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