Abstract

As a kind of public transportation with great potential, battery electric buses play a key role in protecting the ecological environment. However, there are many challenges involved in the process of transforming traditional fuel vehicles to battery electric buses. To face such challenges and solve a series of problems, we investigate a overnight charging problem of battery electric buses. Based on discrete-time optimization, the impact of power costs, battery damage cost and peak-to valley prices on the charging schedule are considered to establish a mixed integer liner programming model. For verifying the effectiveness of the proposed model, a case study is also conducted in our work. Numerical results demonstrate that the proposed model has good performance in making the optimal charging scheduling scheme, which carries the potential for using in large-scale real-world bus networks.

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