Yingqi Gu, Mingming Liu, et al.
IEEE T-ITS
In this paper, we propose a new engine management system for hybrid vehicles to enable energy providers and car manufacturers to provide new services. Energy forecasts are used to collaboratively orchestrate the behaviour of engine management systems of a fleet of plug-in hybrid electric vehicle (PHEVs) to absorb oncoming energy in a smart manner. Cooperative algorithms are suggested to manage the energy absorption in an optimal manner for a fleet of vehicles, and the mobility simulator SUMO (Simulation of Urban MObility) is used to demonstrate the efficacy of the proposed idea.
Yingqi Gu, Mingming Liu, et al.
IEEE T-ITS
Florian Häusler, Mahsa Faizrahnemoon, et al.
IET Intelligent Transport Systems
Rudi Verago, Joe Naoum-Sawaya, et al.
ICCVE 2015
Matheus Souza, Wynita M. Griggs, et al.
ITSC 2018