Rights statement: This is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, 268, 2023 DOI: 10.1016/j.energy.2023.126737
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Towards reservation-based E-mobility service via hybrid of V2V and G2V charging modes
AU - Liu, Shuohan
AU - Cao, Yue
AU - Ni, Qiang
AU - Xu, Lexi
AU - Zhu, Yongdong
AU - Zhang, Xin
N1 - This is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, 268, 2023 DOI: 10.1016/j.energy.2023.126737
PY - 2023/4/1
Y1 - 2023/4/1
N2 - Due to the growing greenhouse effect, reducing greenhouse gas emissions is becoming increasingly important. Electric Vehicles (EVs), thanks to their lower carbon footprint, therefore are seen as the mainstream transportation of the future. However, single charging mode cannot accommodate a large number of parallel EV charging requests with limited charging infrastructures. To guarantee the Quality of Experience (QoE) of the charging service, this paper proposes a hybrid charging management scheme, by facilitating stable and fast charging from plug-in charging and flexible charging from V2V charging. Here, an optimization objective, charging cost is introduced as an optimization indicator. It considers charging price, charging waiting time and charging energy, to jointly optimize EV charging in price–time–energy dimensions. Each influencing factor is assigned a value through the Analytic Hierarchy Process (AHP) to identify its importance for EV charging. Meanwhile, due to the high mobility of EVs, charging reservation (including arrival time, required energy) is introduced, to optimize the charging selection with accurate information. Simulation results based on the Helsinki road topology show that the proposed scheme flexibly utilizes both charging modes and guarantees QoE for EV charging, in terms of increasing average charging energy and reducing charging price and charging waiting time.
AB - Due to the growing greenhouse effect, reducing greenhouse gas emissions is becoming increasingly important. Electric Vehicles (EVs), thanks to their lower carbon footprint, therefore are seen as the mainstream transportation of the future. However, single charging mode cannot accommodate a large number of parallel EV charging requests with limited charging infrastructures. To guarantee the Quality of Experience (QoE) of the charging service, this paper proposes a hybrid charging management scheme, by facilitating stable and fast charging from plug-in charging and flexible charging from V2V charging. Here, an optimization objective, charging cost is introduced as an optimization indicator. It considers charging price, charging waiting time and charging energy, to jointly optimize EV charging in price–time–energy dimensions. Each influencing factor is assigned a value through the Analytic Hierarchy Process (AHP) to identify its importance for EV charging. Meanwhile, due to the high mobility of EVs, charging reservation (including arrival time, required energy) is introduced, to optimize the charging selection with accurate information. Simulation results based on the Helsinki road topology show that the proposed scheme flexibly utilizes both charging modes and guarantees QoE for EV charging, in terms of increasing average charging energy and reducing charging price and charging waiting time.
KW - General Energy
KW - Pollution
KW - Mechanical Engineering
KW - Building and Construction
KW - Electrical and Electronic Engineering
KW - Industrial and Manufacturing Engineering
KW - Civil and Structural Engineering
U2 - 10.1016/j.energy.2023.126737
DO - 10.1016/j.energy.2023.126737
M3 - Journal article
VL - 268
JO - Energy
JF - Energy
SN - 0360-5442
M1 - 126737
ER -