Du Bo, Sreenivasan Ajith Viswanath, Sheng Mingyue Selena, Ranjitkar Prakash, Wen Le, Sharp Basil, Raith Andrea
Department of Business and Strategy Innovation, Griffith University, Australia.
Energy Centre, Department of Economics, The University of Auckland, Auckland, New Zealand.
J R Soc N Z. 2024 May 23;55(4):1091-1110. doi: 10.1080/03036758.2024.2353737. eCollection 2025.
Inductive power transfer (IPT) systems offer a promising solution to multiple major hurdles associated with electric vehicles, such as the lack of widespread charging infrastructure, driving range anxiety, and significant charging time. With the aid of IPT systems, dynamic wireless charging enables electric vehicles to be charged when running over the IPT power pads. The objective of this study is to minimise the overall cost of charging infrastructure by optimising the deployment of IPT transmitters and the battery size required to support charging for electric buses. A mixed-integer linear programming model is proposed and solved using the commercial solver Gurobi. Bus route information and the characteristics of electric buses, such as weight, drag coefficient and frontal area, are used as input to run the traffic simulation in SUMO to get time-varying velocity and acceleration data during bus operations. A bus route in Auckland, New Zealand, is used as a case study in the presented numerical experiments. A strong correlation between the velocity of the bus and the state of charge is identified. The largest cost component is the charging pad, followed by the battery.
感应电力传输(IPT)系统为与电动汽车相关的多个主要障碍提供了一个有前景的解决方案,比如缺乏广泛的充电基础设施、续航里程焦虑以及较长的充电时间。借助IPT系统,动态无线充电能使电动汽车在驶过IPT功率垫时进行充电。本研究的目标是通过优化IPT发射器的部署以及支持电动公交充电所需的电池尺寸,来使充电基础设施的总成本最小化。提出了一个混合整数线性规划模型,并使用商业求解器Gurobi进行求解。公交路线信息以及电动公交的特性,如重量、阻力系数和迎风面积,被用作输入,在SUMO中运行交通仿真,以获取公交运行期间随时间变化的速度和加速度数据。在给出的数值实验中,以新西兰奥克兰的一条公交路线作为案例研究。识别出公交速度与荷电状态之间存在很强的相关性。最大的成本组成部分是充电垫,其次是电池。