Optimal Design of Electric Bus Transport Systems With Minimal Total Ownership Cost

• Published in: IEEE access Vol. 8; pp. 119184 - 119199
• Main Authors: Lotfi, Mohamed, Pereira, Pedro, Paterakis, Nikolaos G., Gabbar, Hossam A., Catalao, Joao P. S.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Batteries; Buses (vehicles); Charging; charging infrastructure; Design optimization; Electric buses; Electric vehicles; Genetic algorithms; Indexes; Integer programming; Linear programming; Mathematical model; Mixed integer; mixed-integer linear programming; Optimization; Public transportation; Schedules; Transportation systems
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3004910

In this work, a generalized mathematical formulation is proposed to model a generic public transport system, and a mixed-integer linear programming (MILP) optimization is used to determine the optimal design of the system in terms of charging infrastructure deployment (with on-route and off-route charging), battery sizing, and charging schedules for each route in the network. Three case studies are used to validate the proposed model while demonstrating its universal applicability. First, the design of three individual routes with different characteristics is demonstrated. Then, a large-scale generic transport system with 180 routes, consisting of urban and suburban routes with varying characteristics is considered and the optimal design is obtained. Afterwards, the use of the proposed model for a long-term transport system planning problem is demonstrated by adapting the system to a 2030 scenario based on forecasted technological advancements. The proposed formulation is shown to be highly versatile in modeling a wide variety of components in an electric bus (EB) transport system and in achieving an optimal design with minimal TOC.