TY - JOUR
T1 - Quality of service measurement for electric vehicle fast charging stations: a new evaluation model under uncertainties
AU - Zhao, Zhonghao
AU - Lee, Carman K.M.
AU - Ren, Jingzheng
AU - Tsang, Yungpo
N1 - Publisher Copyright:
© 2023 Hong Kong Society for Transportation Studies Limited.
PY - 2023
Y1 - 2023
N2 - This study addresses the quality of service (QoS) evaluation problem for electric vehicle (EV) fast charging stations (FCSs). With the increasing market penetration of EVs, effective service quality evaluation under different charging scenarios is a pressing and open issue for planning FCSs to accommodate non-stationary customer charging demand. Unlike previous studies, we make the first attempt to define the connotation of QoS from the EV customers' standpoint based on an extended universal generating function (EUGF). First, we formulate the charging behaviour as a fuzzy queuing process, where the arrival rate and service rate are modelled as fuzzy numbers. Second, the QoS requirement level is taken into account to better reflect the real charging environment. The model is then extended to incorporate the charging station structure by introducing the concept of the composition operator. Finally, numerical experiments are conducted to examine the performance of the EUGF-based model. The results demonstrate that the proposed approach is able to obtain a realistic and precise QoS evaluation, and can serve as an effective indicator for FCS planning and operation problems.
AB - This study addresses the quality of service (QoS) evaluation problem for electric vehicle (EV) fast charging stations (FCSs). With the increasing market penetration of EVs, effective service quality evaluation under different charging scenarios is a pressing and open issue for planning FCSs to accommodate non-stationary customer charging demand. Unlike previous studies, we make the first attempt to define the connotation of QoS from the EV customers' standpoint based on an extended universal generating function (EUGF). First, we formulate the charging behaviour as a fuzzy queuing process, where the arrival rate and service rate are modelled as fuzzy numbers. Second, the QoS requirement level is taken into account to better reflect the real charging environment. The model is then extended to incorporate the charging station structure by introducing the concept of the composition operator. Finally, numerical experiments are conducted to examine the performance of the EUGF-based model. The results demonstrate that the proposed approach is able to obtain a realistic and precise QoS evaluation, and can serve as an effective indicator for FCS planning and operation problems.
KW - Electric vehicle
KW - extended universal generating function
KW - fast charging station
KW - fuzzy queuing theory
KW - quality of service
UR - http://www.scopus.com/inward/record.url?scp=85165595906&partnerID=8YFLogxK
U2 - 10.1080/23249935.2023.2232044
DO - 10.1080/23249935.2023.2232044
M3 - Journal article
AN - SCOPUS:85165595906
SN - 2324-9935
JO - Transportmetrica A: Transport Science
JF - Transportmetrica A: Transport Science
M1 - 2232044
ER -