Abstract

Scientific pricing of the electric vehicle charging station is closely related to consumer behavior inevitably. Existing studies have not considered the impacts of consumer differences on the charging price, which will fail to meet the interests of various types of consumers. This paper proposes a novel pricing method based on consumer classification and comprehensive evaluation strategies. First, the basis for consumer classification is established according to a single factor sensitivity analysis of the consumer benefit model; then, the nonlinear expression of the basis is piecewise linearized. Additionally, with the principle of least fitting error to determine consumers’ classification, the initial charging price schemes for various types of consumers are formulated. Second, this paper defines evaluation indices and establishes the hierarchy model for comprehensive evaluation schemes. Finally, the integrated analytic hierarchy process and data envelopment analysis are adopted for comprehensive evaluation of schemes. Simulations results illustrate that the proposed method can formulate the comprehensive optimal charging price considering consumer differences, and the method can reflect the impacts of both subjective and objective factors conveniently and accurately.

Highlights

  • Electric vehicles (EVs) can reduce greenhouse gas emissions and alleviate vehicle excessive dependence on petroleum resources [1]

  • Index n (In) [10], the authors compare and calculate total lifecycle costs (TLCC) of EVs with TLCC of the gasoline vehicle based on the various driving range and the gasoline price, and the results indicate that TLCC of EV is more than TLCC of gasoline vehicles

  • This pricing has prompted EVs to operate too costly, which is not conducive to the promotion of the EVs industry [22]. e National Development and Reform Commission of China (NDRC) issues that China implements the supportive policy on the price of EV charging, and the service fees of electric vehicle charging stations are performed by the local according to the principle of “preferential and discount” with the government guidance pricing management

Read more

Summary

Introduction

Electric vehicles (EVs) can reduce greenhouse gas emissions and alleviate vehicle excessive dependence on petroleum resources [1]. Erefore, the service pricing of charging is the crucial problem to encourage consumer to using EVs. e charging station is one of the indispensable components in the operation of the EV industry [14]. Some cities in China, such as Hangzhou, have launched their own local policies, and the pricing of EV charging is based on the method of costbenefit income This pricing has prompted EVs to operate too costly, which is not conducive to the promotion of the EVs industry [22]. E National Development and Reform Commission of China (NDRC) issues that China implements the supportive policy on the price of EV charging, and the service fees of electric vehicle charging stations are performed by the local according to the principle of “preferential and discount” with the government guidance pricing management. Simulation results verify that the optimal charging prices applying to different types of consumers can be determined, and it can conveniently reflect the demand response to price changes; the expected demand can be obtained by adjusting the price

The Methods on the Pricing of EV Charging
Consumer Classification
Comprehensive Decision-Making of Charging Prices
Evaluation criteria
Simulation Result and Discussion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.