Optimizing electric bus charging infrastructure considering power matching and seasonality
Artikel i vetenskaplig tidskrift, 2021

In this research, a novel optimization model for electric bus charging station location, charger configuration, charging time and vehicle flow is developed considering power matching and seasonality. The seasonality highlights the effect of air temperature on the battery performances of electric buses. Power matching between batteries and chargers jointly determines the maximum battery acceptance rates of electric buses, and this consideration results in nonlinear constraints. A surrogate-based optimization approach is proposed to solve the mixed integer nonlinear program efficiently. The optimization model is demonstrated on a sub-transit network including 17 bus lines in Beijing. The results reveal significant performance differences regarding vehicle scheduling and charging among different bus fleets in the BEB-based transit system. The interesting findings on the distribution of vehicle flows for charging provide strong evidence to consider powering match in the bus charging infrastructure layout.

Surrogate-based optimization

Facility location

Electric bus charging

Power matching



Xiaohan Liu

Beihang University

Xiaobo Qu

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Xiaolei Ma

Beihang University

Transportation Research Part D: Transport and Environment

1361-9209 (ISSN)

Vol. 100 103057


Hållbar utveckling





Transportteknik och logistik

Annan fysik

Annan elektroteknik och elektronik



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