In this study, to develop a benefit-allocation model, in-depth analysis of a distributed photovoltaic-power-generation carport and energy-storage charging-pile project was performed; the model was developed using Shapley integrated-empowerment benefit-distribution method.
What happens during the service life of electric vehicle charging pile?
During the service life of the electric vehicle charging pile, the cumulative factor of service life will gradually develop toward the state inducement factor (deterioration causes defects). However, before the defects are formed, the failure rate will also gradually increase with the process of cumulative damage.
Can electric vehicle charging piles improve preventive maintenance effect?
This study has good application prospects in improving the preventive maintenance effect of electric vehicle charging piles. In recent years, electric vehicles have been gradually developed and widely used in many countries due to their advantages of cleanliness, environmental protection, and efficiency.
How severe is electric vehicle charging pile deterioration?
The severity can be characterized by the state evaluation results of the electric vehicle charging pile. During the service life of the electric vehicle charging pile, the cumulative factor of service life will gradually develop toward the state inducement factor (deterioration causes defects).
What factors influence the aging process of electric vehicle charging piles?
The aging process of electric vehicle charging piles is influenced by various factors, including material strength, fatigue life, environmental conditions, and so on. In the model, these aging factors should be comprehensively considered to more accurately describe the distribution and trend of the life of charging piles.
How is a charging pile classified?
Combined with the fault degree, maintenance experience, and expert analysis of the charging pile, the state classification strategy is given. Each indicator of the charging pile is standardized according to the threshold level of the operating state.
How accurate is preventive maintenance decision-making for electric vehicle charging piles?
The experimental results show that the accuracy of this method in preventive maintenance decision-making for electric vehicle charging piles can reach 98%, with an average preventive maintenance decision-making time of 1.6 s for load piles. At the same time, the risk probability value and load loss value are effectively controlled.