Subventions et des contributions :

Titre :
A Data-Driven Approach for Electric Bus Charging Demand Modelling
Numéro de l’entente :
EGP
Valeur d'entente :
25 000,00 $
Date d'entente :
7 mars 2018 -
Organisation :
Conseil de recherches en sciences naturelles et en génie du Canada
Location :
Alberta, Autre, CA
Numéro de référence :
GC-2017-Q4-01065
Type d'entente :
subvention
Type de rapport :
Subventions et des contributions
Informations supplémentaires :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

Nom légal du bénéficiaire :
Liang, Hao (University of Alberta)
Programme :
Subventions d'engagement partenarial pour les universités
But du programme :

Electrification of the public transit services is crucial for Canada's long-term strategy to reduce transportationx000D
related greenhouse gas (GHG) emissions. St. Albert Transit (StAT) is leading this effort by actively replacingx000D
its diesel bus fleet with the state-of-the-art electric buses. On May 23, 2017, St. Albert Transit celebrated thex000D
arrival of three BYD K9 electric buses, while another four electric buses are expected to join the fleet in priorx000D
to the end of March 2018. Although the electric buses are beneficial for reducing GHG emissions, charging ax000D
fleet of electric buses can significantly increase the electrical loading of the bus terminals. Since upgrading thex000D
power supply infrastructures can involve high monetary expenditure which, in turn, increases the public transitx000D
fares, an optimal planning of system upgrade and the smart charging of electric buses are of paramountx000D
importance. In this project, we will investigate a fundamental problem for the efficient planning and operationx000D
of public transit services with electric buses, i.e., the mathematical modelling of electric bus charging demand.x000D
In particular, a data-driven approach will be developed in this project for electric bus charging demandx000D
modelling, facilitated by the availability of a large number of measurements from various onboard sensors ofx000D
electric buses.