Double-battery configuration method for electric bus operation in cold regions

Cong, Yuan; Wang, Heqi; Bie, Yiming; Wu, Jiabin

doi:10.1016/j.tre.2023.103362

Cited by 13 publications

(1 citation statement)

References 54 publications

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“…Recently, the EB transport planning process has become increasingly important as the electrification of urban public transport continues to advance [9][10][11][12][13]. Integrated planning for multi-problems increases the complexity and difficulty of solving the problem exponentially, compared with the step-by-step planning for a single problem.…”

Section: Integrated Optimization Of Vehicle Dispatching and Charging ...mentioning

confidence: 99%

Optimal Vehicle Scheduling and Charging Infrastructure Planning for Autonomous Modular Transit System

Chang,

Cong,

Wang

et al. 2024

Sustainability

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Prioritizing the development of public transport is an effective way to improve the sustainability of the transport system. In recent years, bus passenger flow has been declining in many cities. How to reform the operating mode of the public transportation system is an important issue that needs to be solved. An autonomous modular bus (AMB) is capable of physical coupling and uncoupling to flexibly adjust vehicle capacity as well as provide high-quality service under unbalanced passenger demand conditions. To promote AMB adoption and reduce the operating cost of the bus route, this paper presents a joint optimization method to simultaneously determine the AMB dispatching plan, charging plan, and charging infrastructure configuration scheme. Then, a mixed-integer programming model is formulated to minimize the operating costs of the bus route. A hybrid intelligent algorithm combining enumeration, cloning algorithm, and particle swarm optimization algorithm is designed to resolve the formulated model. Subsequently, an actual bus route is taken as an example to validate the proposed method. Results indicate that the developed method in this paper can reduce the operating costs and operational energy consumption of the route compared with the real route operating plan. Specifically, the reduction ratio of the former is 23.85%, and the reduction ratio of the latter is 5.92%. The results of this study validate the feasibility and advantages of autonomous modular transit service, contributing positively to the sustainable development of the urban public transportation system.

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