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Yangjia Lin
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

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Journal article
Published: 27 February 2020 in International Journal of Electrical Power & Energy Systems
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A novel analytic framework is proposed for the charging demand of electric vehicles (EVs), which considers charging demand is primarily determined by the travel behavior. And the bounded rationality of the EV users in travel choices is focused in this paper. The activity-based analysis is expanded to divide the travel behavior of users into the transfer relationship between activity chains and the time-space transfer rule for each activity chain. The transfer relationship between different activity chains is established by the Bayesian method. Based on the cumulative prospect theory, we prioritize the bounded rationality of users in the selection of the travel mode, the departure time and the travel path. And the time-space transfer rule and the charging demand of EVs on each activity chain are described by combining the dynamic traffic assignment model. On this basis, the daily charging demand rule for EVs is revealed. Finally, a test traffic network and a real urban traffic network are used to study the travel behavior and daily charging demand of EVs. The simulation results show that the proposed method can effectively describe dynamic changes in the charging demands of EVs. In addition, the charging demand of EVs will be affected by the ownership rate of EVs, the service capacity of charging stations and the degree of the bounded rationality of users.

ACS Style

Jun Yang; Fuzhang Wu; Yangjia Lin; Xiangpeng Zhan; Lei Chen; Siyang Liao; Jian Xu; Yuanzhang Sun. Charging demand analysis framework for electric vehicles considering the bounded rationality behavior of users. International Journal of Electrical Power & Energy Systems 2020, 119, 105952 .

AMA Style

Jun Yang, Fuzhang Wu, Yangjia Lin, Xiangpeng Zhan, Lei Chen, Siyang Liao, Jian Xu, Yuanzhang Sun. Charging demand analysis framework for electric vehicles considering the bounded rationality behavior of users. International Journal of Electrical Power & Energy Systems. 2020; 119 ():105952.

Chicago/Turabian Style

Jun Yang; Fuzhang Wu; Yangjia Lin; Xiangpeng Zhan; Lei Chen; Siyang Liao; Jian Xu; Yuanzhang Sun. 2020. "Charging demand analysis framework for electric vehicles considering the bounded rationality behavior of users." International Journal of Electrical Power & Energy Systems 119, no. : 105952.

Journal article
Published: 19 April 2019 in Applied Sciences
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Electric vehicle sharing provides an effective way to improve the traffic situation and relieve environmental pressure. The government subsidy policy and the car-sharing operator’s pricing strategy are the key factors that affect the large-scale application of electric vehicle sharing. To address this issue, a subsidy and pricing model for electric vehicle sharing based on the two-stage Stackelberg game is proposed in this paper according to the current situation in China. First, an electric vehicle sharing operation mode under government participation is constructed. Then, a two-stage Stackelberg game model involving the government, the car-sharing operator and the consumers is proposed to determine the subsidy rates and pricing strategies. The improved particle swarm optimization algorithm is used to obtain the Nash equilibrium of the model. Also, the influence of private car cost and shared travel comfort on subsidy rates and pricing strategies is analyzed. Finally, the simulation of electric vehicle sharing in a town of China is carried out to investigate the performance of the proposed subsidy and price model. The simulation results show that the model rationally formulates subsidy policies and pricing strategies of the electric vehicle sharing to balance the interests of the three participants, mobilizing users’ enthusiasm while guaranteeing the benefits of the government and operator, making the overall benefit optimal.

ACS Style

Jun Yang; Yangjia Lin; Fuzhang Wu; Lei Chen. Subsidy and Pricing Model of Electric Vehicle Sharing Based on Two-Stage Stackelberg Game – A Case Study in China. Applied Sciences 2019, 9, 1631 .

AMA Style

Jun Yang, Yangjia Lin, Fuzhang Wu, Lei Chen. Subsidy and Pricing Model of Electric Vehicle Sharing Based on Two-Stage Stackelberg Game – A Case Study in China. Applied Sciences. 2019; 9 (8):1631.

Chicago/Turabian Style

Jun Yang; Yangjia Lin; Fuzhang Wu; Lei Chen. 2019. "Subsidy and Pricing Model of Electric Vehicle Sharing Based on Two-Stage Stackelberg Game – A Case Study in China." Applied Sciences 9, no. 8: 1631.