Pricing model for the charging of electric vehicles based on system dynamics in Beijing

• Published in: Energy (Oxford) Vol. 119; pp. 218 - 234
• Main Authors: Zhang, Xingping, Liang, Yanni, Liu, Wenfeng
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 15-01-2017; Elsevier BV
• Subjects: Computer simulation; Electric charge; Electric vehicle charging; Electric vehicles; Empirical analysis; Energy conservation; Energy consumption; Greenhouse gas emissions; Greenhouse gases; Modules; Power consumption; Pricing; Real-time charge pricing; Sensitivity analysis; Subsidies; System dynamics; Tariffs; Time of use; Valleys; Beijing China; China; Real-time charge pricing; Electric vehicles; System dynamics; Greenhouse gas emissions
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2016.12.057

This paper proposes a system dynamics model to develop a real-time charge pricing (RCP) mechanism of electric vehicles (EVs). The model includes six modules: power consumption of EVs, generator set dispatching, charge pricing, user response, benefit evaluation of all stakeholders and charging stations' life-cycle net income. We consider four charge pricing scenarios and design a RCP mechanism for Beijing according to the simulation results. Sensitivity analysis proves that the model is robust, and the increased charging power of EVs is beneficial for charging service operators. The empirical results indicate that RCP based on the peak-valley time-of-use tariff is propitious for the existing development scale of EVs. In addition, the government subsidies are important to drive EV development in the initial period. However, it should be phased out to reduce the financial burden accompanying the amplification of the scale of EVs.
•Developing a charge pricing (CP) model by system dynamics including four stakeholders.•Exploring the economic and environmental performance of different CP scenarios.•Proving the robust of the model and improving the effect of CP by sensitivity analysis.•Proposing some policy suggestions to promote the development of electric vehicles.