TY - GEN
T1 - Electric vehicle consumption markets
T2 - 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
AU - Nourbakhsh, Mohammad Sadegh
AU - Manshaei, Mohammad Hossein
AU - Rahman, Mohammad Ashiqur
AU - Saad, Walid
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/4/19
Y1 - 2017/4/19
N2 - Electric vehicles (EVs) are viewed as an integral part of tomorrow's smart cities as they provide green alternatives as well as low-price solutions for traditional gasoline-based vehicles. However, the adoption of EVs by the users remain insipid. This is because of their limited battery capacity and longer recharging period compared to conventional vehicles. Therefore, to overcome these challenges, there is a need for new models that capture the realistic behavior of the users and their preferences vis-a-vis EVs. In this paper, the impact of various important parameters that influence the preference of a user with regard to using EVs is studied. In particular, a game-theoretic model is proposed for economic analysis of the EV market, considering different parameters pertaining to users' preferences. These parameters primarily include trip costs, in terms of both money and time, and user sensitivities. The preferences of users and the structural characteristics of the vehicles are captured in the proposed model. Two different competition scenarios are studied using the Bertrand competition model. First, a competition between a fuel provider and an electric provider is modeled. Then, the competition between two electric providers is modeled. For both approaches, an extensive analysis of the existence of Nash equilibria is provided.
AB - Electric vehicles (EVs) are viewed as an integral part of tomorrow's smart cities as they provide green alternatives as well as low-price solutions for traditional gasoline-based vehicles. However, the adoption of EVs by the users remain insipid. This is because of their limited battery capacity and longer recharging period compared to conventional vehicles. Therefore, to overcome these challenges, there is a need for new models that capture the realistic behavior of the users and their preferences vis-a-vis EVs. In this paper, the impact of various important parameters that influence the preference of a user with regard to using EVs is studied. In particular, a game-theoretic model is proposed for economic analysis of the EV market, considering different parameters pertaining to users' preferences. These parameters primarily include trip costs, in terms of both money and time, and user sensitivities. The preferences of users and the structural characteristics of the vehicles are captured in the proposed model. Two different competition scenarios are studied using the Bertrand competition model. First, a competition between a fuel provider and an electric provider is modeled. Then, the competition between two electric providers is modeled. For both approaches, an extensive analysis of the existence of Nash equilibria is provided.
KW - Behavioral Model
KW - Economic Model
KW - Electric Vehicle
KW - Smart Grid
UR - http://www.scopus.com/inward/record.url?scp=85019265439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019265439&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2016.7905974
DO - 10.1109/GlobalSIP.2016.7905974
M3 - Conference contribution
AN - SCOPUS:85019265439
T3 - 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
SP - 906
EP - 910
BT - 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 December 2016 through 9 December 2016
ER -