Article
Thermodynamics
Yaseen Alwesabi, Zhaocai Liu, Soongeol Kwon, Yong Wang
Summary: The study aims to optimize the fleet size of electric buses and dynamic wireless charging infrastructure planning, through the development of a Mixed Integer Linear Programming model. Results showed that considering bus purchase costs can save the total system cost.
Article
Green & Sustainable Science & Technology
Jing Wang, Heqi Wang, Chunguang Wang
Summary: This paper investigates the influence of ambient temperature on the charging performance of electric buses and optimizes the number of charging stations and the charging schedule. Through the use of a mixed-integer nonlinear programming model and immune algorithm, it aims to reduce the installation cost of charging stations, charging costs for electric bus fleets, waiting time, and idle time. The results from the case study show that optimizing the charging waiting time at bus stations can prevent a rapid decline in charging performance caused by a sharp drop in battery temperature, while ensuring the punctuality and integrity of regional bus routes.
Article
Environmental Studies
Jinwoo Lee, Heeseung Shon, Ilia Papakonstantinou, Sanghoon Son
Summary: The electrification of bus systems has the potential to reduce fossil fuel consumption. Through optimization, it is possible to reduce the necessary battery capacity and discover the tradeoff between a large fleet size/high charging infrastructure capacity and battery capacity.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Environmental Studies
Qiuzi Chen, Chenming Niu, Ran Tu, Tiezhu Li, An Wang, Dengbo He
Summary: This paper explores a cost-efficient resource assignment for urban battery-electric-buses (BEBs) considering decision robustness based on the optimized charging plan. A network flow model was proposed to minimize the operation cost with mixed fleet, nonlinear charging, and the constraint of charging station capacity. Results show that charging at night or with short duration in the daytime significantly increases the operation cost. Sufficient charging resources improve the robustness of the charging plan, while economic benefits merely increase when the charging station capacity reaches a certain threshold.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Thermodynamics
Shah Mohammad Mominul Islam, Arshad Adam Salema, Mohammed Zeehan Saleheen, Joanne Mun Yee Lim
Summary: A study was conducted on the techno-economic feasibility of using solar energy for an electric bus depot, with the conclusion that implementing a bus charging routine can significantly reduce operational costs and carbon emissions, providing an optimal energy-saving solution.
Article
Environmental Studies
Jia He, Na Yan, Jian Zhang, Tao Wang, Yan-Yan Chen, Tie-Qiao Tang
Summary: This paper presents a battery electric bus energy consumption model based on characteristic data and proposes a method to extract the characteristic data from unordered data. A practical BEB charging plan optimization model is developed based on the departure plan timetable and trip electricity consumption estimation of the bus fleet. Real-world numerical tests show that the energy consumption model has an average relative error of 7.5-9.2% and the optimized charging plan can reduce charging costs by approximately 16%.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Engineering, Civil
Konstantinos Gkiotsalitis
Summary: This study expands traditional bus holding models to consider planned arrival times for electric buses at charging points, introducing an analytic real-time solution for optimal holding decisions. Testing on bus line data shows significant reduction in charging delays with minimal increase in passenger waiting times compared to existing strategies, making it suitable for real-time control and stochastic optimization under travel time uncertainty.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Interdisciplinary Applications
Olga Battaia, Alexandre Dolgui, Nikolai Guschinsky, Boris Rozin
Summary: Reducing greenhouse gas emissions is essential for sustainable cities, and a sustainable public transportation system is considered an efficient long-term solution. This paper proposes a framework for designing a sustainable infrastructure for fast-charging electric buses, which helps decision makers determine the fleet of electric buses, design charging facilities, and optimize passenger flow to minimize emissions. An efficient mixed integer linear programming model is developed for interchangeable chargers for electric buses. A case study in Minsk demonstrates the decision-making process, and extensive computer experiments show that the model outperforms existing methods in terms of efficiency.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Thermodynamics
Yi He, Zhaocai Liu, Yiming Zhang, Ziqi Song
Summary: Battery electric buses (BEBs) are gaining popularity worldwide due to their emission-free and energy-efficient features. This study proposes a time-dependent bus fleet transition model to determine the optimal plan for replacing traditional buses with BEBs, considering the potential decline in BEB battery and charger prices. The model considers factors such as electrified transit mileages, bus electrification costs, and deploys on-route fast chargers and depot chargers.
Article
Computer Science, Information Systems
Giulio Ferro, Riccardo Minciardi, Luca Parodi, Michela Robba
Summary: This article discusses an optimization problem in planning service stations for electric buses, considering the selection and sizing of sites, assignment of lines, and fleet sizing. The problem takes into account the non-linear charging process of the batteries and aims to achieve a minimum cost design while ensuring a minimum quality level. Commercial software tools can efficiently solve moderate-sized problems, as demonstrated in the presented application.
IEEE SYSTEMS JOURNAL
(2023)
Article
Thermodynamics
Jonatas Augusto Manzolli, Joao Pedro F. Trovao, Carlos Henggeler Antunes
Summary: This study developed an optimization model to handle the charging schedule of electric bus fleets, aiming to minimize charging costs and consider battery degradation and energy trading. Through a real-world case study and sensitivity analysis, it was found that selling energy back to the grid may be economically attractive under certain charging cost conditions, and operation costs could be reduced by 38%.
Article
Environmental Studies
Di Huang, Jinyu Zhang, Zhiyuan Liu
Summary: This paper proposes a coordinated approach for charging electric buses at hybrid charging stations, using deterministic and robust optimization models to minimize charging costs. It addresses the uncertainty of remaining battery capacity through a robust optimization model and illustrates the approach with numerical examples.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2023)
Article
Economics
Yu Zhou, Qiang Meng, Ghim Ping Ong
Summary: This study focuses on the fundamental electric bus charging scheduling problem for a single public transport route, aiming to minimize the total cost for a public transport operator by considering nonlinear charging profiles and battery degradation effects.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Economics
Xiaoling Luo, Wenbo Fan
Summary: Cities worldwide are rapidly deploying electric buses to improve eco-friendly public transportation. However, existing electric transit systems face limitations such as high battery costs and limited range per charge. This paper proposes an optimization model to optimize both the electric supply system and the transit service for wireless-charging electric buses, aiming to minimize costs and improve service quality. Numerical tests and a case study in Chengdu, China, demonstrate the effectiveness of the proposed model.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2023)
Article
Environmental Studies
Xiaohan Liu, Xiaobo Qu, Xiaolei Ma
Summary: This research introduces a novel optimization model for electric bus charging station location, charger configuration, charging time, and vehicle flow considering power matching and seasonality. A surrogate-based optimization approach is used to efficiently solve the mixed integer nonlinear program, revealing significant performance differences in vehicle scheduling and charging among different bus fleets in a Beijing-based transit system. Interesting findings on the distribution of vehicle flows for charging provide strong evidence to consider power matching in the bus charging infrastructure layout.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
