To address the shortcomings in the current operation and maintenance work of electric vehicle charging stations, this study proposed an operation and maintenance system
By establishing a preventive maintenance decision model for electric vehicle charging piles, potential faults can be identified in a timely manner and appropriate maintenance measures can be taken, thereby
In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to
With the rapid growth of the number of electric vehicles, to promote the efficiency of charging station maintenance, a method based on risk assessment is proposed. With the
To address the shortcomings in the current operation and maintenance work of electric vehicle charging stations, this study proposed an operation and maintenance system strategy for electric vehicle charging stations using the XGBoost integrated algorithm to evaluate the operational status of charging stations.
In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to simulate the charge control guidance module. On this basis, combined with
By establishing a preventive maintenance decision model for electric vehicle charging piles, potential faults can be identified in a timely manner and appropriate maintenance measures
Since the smart charging piles are generally deployed in complex environments and prone to failure, it is significant to perform efficient fault diagnosis and timely maintenance
The traditional charging pile management system usually only focuses on the basic charging function, which has problems such as single system function, poor user experience, and inconvenient management. In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated
Under the assumption of fast charging rules (the vehicle must leave when it''s fully charged), if the parking time is longer than the expected fast charging time, the EV chooses slow charging to avoid moving the car, and the demand for slow charging piles in the parking lot increases by 1; On the opposite, the EV chooses fast charging and the demand for fast
In this article, a real-time fault prediction method combining cost-sensitive logistic regression (CS-LR) and cost-sensitive support vector machine classification (CS-SVM)
By establishing a preventive maintenance decision model for electric vehicle charging piles, potential faults can be identified in a timely manner and appropriate maintenance measures can be taken, thereby improving the reliability and service quality of the charging piles.
A comprehensive maintenance strategy for a charging network that can interact with EVs does not exist. Most research of charging networks focuses on several specific aspects, including
By establishing a preventive maintenance decision model for electric vehicle charging piles, potential faults can be identified in a timely manner and appropriate maintenance measures can be taken, thereby improving the
Research on Distribution Strategy of Charging Piles for Electric Vehicles. Jifa Wang 1 and Wenqing Zhao 1. Published under licence by IOP Publishing Ltd IOP Conference Series: Earth and Environmental Science, Volume 781, 3. Resources and Energy, Power Engineering Citation Jifa Wang and Wenqing Zhao 2021 IOP Conf. Ser.: Earth Environ. Sci.
This paper proposes a preventive maintenance decision model for electric vehicle charging stations based on mutation operators and lifecycle optimization to address
A comprehensive maintenance strategy for a charging network that can interact with EVs does not exist. Most research of charging networks focuses on several specific aspects, including cybersecurity, location optimization of charging piles, and power impact on the power grid.
In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices.
In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging,...
The battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to simulate the charge control guidance module. The traditional charging pile management system usually only
and the advantages of new energy electric vehicles rely on high energy storage density batteries and ecient and fast charg-ing technology. This paper introduces a DC charging pile for new energy electric vehicles. The DC charging pile can expand the charging power through multiple modular charging units in parallel to improve the charging speed. Each charging unit includes
Reference 5 developed a distributed energy management system based on multiagent system for efficient charging of electric vehicles. The energy management system proposed by this method reduces the peak charging load and load change of electric vehicles by about 17% and 29% respectively, without moving and delaying the charging of electric
The Impact of Public Charging Piles on Purchase of Pure Electric Vehicles Bo Wang1, 2, 3, a, *Jiayuan Zhang1,2,3, b, Haitao Chen 4, c, Bohao Li 4, d a Bo Wang: b.wang@bit .cn,* b Jiayuan Zhang: ZJY1256231@163 , c Haitao Chen: htchenn@163 , d Bohao Li: libohao98@163 1School of Management and
With the rapid growth of the number of electric vehicles, to promote the efficiency of charging station maintenance, a method based on risk assessment is proposed. With the maintenance system established, the charging facility failure model is developed.
In this article, a real-time fault prediction method combining cost-sensitive logistic regression (CS-LR) and cost-sensitive support vector machine classification (CS-SVM) is proposed. CS-LR is...
This provides data-based decision-making opportunity for investors to invest in charging piles. At the same time, it provides a convenient service environment for electric vehicle users, improves the competitiveness of new energy electric vehicles, speeds up fuel substitution, reduces exhaust emissions of fuel vehicles, and prevents air pollution.
This paper proposes a preventive maintenance decision model for electric vehicle charging stations based on mutation operators and lifecycle optimization to address the impact of potential faults on maintenance effectiveness. By introducing the particle swarm optimization algorithm with mutation operator, a comprehensive analysis of opportunity
Since the smart charging piles are generally deployed in complex environments and prone to failure, it is significant to perform efficient fault diagnosis and timely maintenance for them. One of the key problems to be solved is how to conduct fault prediction based on limited data collected through IoT in the early stage and develop reasonable
In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to simulate the charge control guidance module.
The simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the control guidance circuit can meet the requirements of the charging pile; (3) during the switching process of charging pile connection state, the voltage state changes smoothly.
Since the smart charging piles are generally deployed in complex environments and prone to failure, it is significant to perform efficient fault diagnosis and timely maintenance for them.
Design of Energy Storage Charging Pile Equipment The main function of the control device of the energy storage charging pile is to facilitate the user to charge the electric vehicle and to charge the energy storage battery as far as possible when the electricity price is at the valley period.
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.
By establishing a preventive maintenance decision model for electric vehicle charging piles, potential faults can be identified in a timely manner and appropriate maintenance measures can be taken, thereby improving the reliability and service quality of the charging piles.
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