Optimal electric bus scheduling considering battery degradation effect and charging facility capacity

Document Type

Journal Article

Publication Date

2025

Subject Area

place - asia, place - urban, mode - bus, infrastructure - vehicle, operations - scheduling, policy - sustainable, policy - environment, technology - alternative fuels, technology - emissions, planning - methods

Keywords

Electric bus scheduling, battery degradation, charging facility capacity, charging strategy, genetic algorithm

Abstract

Electric buses are environmentally friendly with the features of low noise levels and zero-emissions. However, higher upfront costs due to the battery degradation effect, charging facility capacity and operational issues are the main obstacles to large-scale application of electric buses. This study proposes a mixed-integer nonlinear model for optimizing electric bus scheduling with a partial charging strategy, battery degradation and constraints of charging facility capacity. A genetic algorithm is then proposed to solve the model. Last, a case study based on a real transit network in Nanjing, China is conducted. The experimental results show that compared with the existing scheduling scheme, the optimal scheduling model can reduce the total system costs by 8.20%, which validates the effectiveness of the proposed model. The findings in this paper can provide a reference for operators to formulate electric bus scheduling schemes and promote the sustainable development of public transport.

Rights

Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.

Link to Full Text

Share

COinS