Abstract
Performance status evaluation is essential for the safe running of electric vehicle (EV) charging infrastructure. With the development of the EV industry, the EV charging infrastructure industry has advanced considerably. Safe and reliable operation of the charging infrastructure is important for the development of EVs. As such, we propose a comprehensive evaluation method to assess the performance condition of an EV charging infrastructure. First, based on the analysis of the existing EV charging principles, we established an evaluation index system for EV charging infrastructure. Second, the subjective weight, objective weight, and comprehensive weight of the index system were determined through analytic hierarchy processes (AHP) and the entropy weight method. Then, we used fuzzy comprehensive evaluation to appraise the performance of the charging infrastructure through expert investigation. Finally, based on the actual data from an EV charger, the performance conditions of the EV charging infrastructure were evaluated to demonstrate the feasibility of the method and the reliability of the index system.
Highlights
With the intensification of the fossil energy crisis and the deteriorating ecological environment, it is necessary to replace fuel-based vehicles with alternative energy sources to reduce air pollution.Electric vehicles (EVs) convert electrical energy into mechanical energy, which achieved zero emissions of automobile exhaust
The method of determining the subjective weight of the electric vehicle charger index by using the analytic hierarchy process is as follows: (1) Determine the hierarchy model: In this paper, the evaluation index system constructed by the charger was divided into 3 levels: Target layer A, criterion layer B, and indicator layer C
Fuzzy comprehensive evaluation is an evaluation method based on the theory of fuzzy mathematics and the comprehensive evaluation of the charger is achieved according to the principle of maximum membership [14]
Summary
With the intensification of the fossil energy crisis and the deteriorating ecological environment, it is necessary to replace fuel-based vehicles with alternative energy sources to reduce air pollution. Another study [11] used fuzzy AHP to evaluate the electrical and safety performance of a charger. In Liu et al [16], the analytic hierarchy process and the entropy weight method were used to combine subjective and objective evaluation methods to evaluate the operation of the distribution network and verify the rationality of the algorithm. In Yang et al [17], the AHP and the entropy weight method were combined for the evaluation of the operating state of the charger. Our method can provide necessary guidance for the operation of the equipment to improve the reliability, safety, and effectiveness of the equipment’s’ operation, and reduce the property loss to a minimum, which indirectly improves the performance of electric vehicles.
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