TY - JOUR
T1 - Smart procurement of naturally generated energy (SPONGE) for PHEVs
AU - Gu, Yingqi
AU - Häusler, Florian
AU - Griggs, Wynita
AU - Crisostomi, Emanuele
AU - Shorten, Robert
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Consensus algorithms
KW - plug-in hybrid electric vehicles (PHEVs)
KW - renewable energy
UR - http://www.scopus.com/inward/record.url?scp=84958546670&partnerID=8YFLogxK
U2 - 10.1080/00207179.2015.1135508
DO - 10.1080/00207179.2015.1135508
M3 - Article
AN - SCOPUS:84958546670
VL - 89
SP - 1467
EP - 1480
JO - International Journal of Control
JF - International Journal of Control
SN - 0020-7179
IS - 7
ER -
