A Data-Driven Approach for Electric Bus Charging Demand Modelling

公共交通服务的电气化对于加拿大减少交通相关温室气体排放的长期战略至关重要。圣阿尔伯特公交公司（StAT）正在积极地用最先进的电动巴士取代其柴油巴士车队，从而引领这一努力。2017年5月23日，圣阿尔伯特公交庆祝了三辆比亚迪K9电动公交车的到来，而另外四辆电动公交车预计将在2018年3月底之前加入车队。虽然电动巴士有利于减少温室气体排放，但电动巴士充电会显著增加巴士终点站的电力负荷。由于供电基础设施的升级会带来较高的货币支出，从而增加公共交通，因此系统升级的优化规划和电动公交车的智能充电至关重要。在这个项目中，我们将研究电动巴士公共交通服务的有效规划和运营的一个基本问题，即电动巴士充电需求的数学模型。特别是，该项目将开发一种数据驱动的方法，用于电动公交车充电需求建模，这得益于电动公交车上各种车载传感器的大量测量数据。

Electrification of the public transit services is crucial for Canada's long-term strategy to reduce transportationrelated greenhouse gas (GHG) emissions. St. Albert Transit (StAT) is leading this effort by actively replacingits diesel bus fleet with the state-of-the-art electric buses. On May 23, 2017, St. Albert Transit celebrated thearrival of three BYD K9 electric buses, while another four electric buses are expected to join the fleet in priorto the end of March 2018. Although the electric buses are beneficial for reducing GHG emissions, charging afleet of electric buses can significantly increase the electrical loading of the bus terminals. Since upgrading thepower supply infrastructures can involve high monetary expenditure which, in turn, increases the public transitfares, an optimal planning of system upgrade and the smart charging of electric buses are of paramountimportance. In this project, we will investigate a fundamental problem for the efficient planning and operationof public transit services with electric buses, i.e., the mathematical modelling of electric bus charging demand.In particular, a data-driven approach will be developed in this project for electric bus charging demandmodelling, facilitated by the availability of a large number of measurements from various onboard sensors ofelectric buses.