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...
Customer ServicePDF | Aiming at the charging demand of electric vehicles, an improved genetic algorithm is proposed to optimize the energy storage charging piles... | Find, read and cite all the research you need
Customer ServiceElectric vehicle charging pile fault diagnosis (CPFD) technology has achieved rapid development and successfully implemented in the field of electric vehicle charging piles. However, in real life, failure data is very difficult to obtain, as a result, it will cause data samples to be imbalanced seriously and make CPFD more and more challenging. To solve this problem,
Customer ServiceBy introducing the particle swarm optimization algorithm with mutation operator, a comprehensive analysis of opportunity service age factor and safety failure probability factor was conducted to establish an indicator system for the operation status of charging piles, and a potential fault identification model was constructed.
Customer ServiceIn 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...
Customer ServiceCompared to AC charging piles, DC charging piles have higher failure rates due to more components, larger operating power, and long-term outdoor exposure. Currently,
Customer ServiceCombined with the fault parameters, the consequence of the charging pile failure event to the user is quantified as system risk. The risk tracking of the charging station is
Customer ServiceA laboratory-scale coupled energy pile-solar collector system was constructed. • Effects of major parameters and their inter-dependence were evaluated. • Turbulent flow contributes more to the energy storage as the soil is saturated. • The maximum daily average
Customer ServiceSince 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
Customer ServiceSince 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
Customer ServiceMany different types of electric vehicle (EV) charging technologies are described in literature and implemented in practical applications. This paper presents an overview of the existing and proposed EV charging technologies in terms of converter topologies, power levels, power flow directions and charging control strategies. An overview of the main charging
Customer ServiceWhen the charging module fails, the charging pile can not charge normally, and in serious cases, the charging pile may be damaged and lose its charging function; Once the
Customer ServiceBy introducing the particle swarm optimization algorithm with mutation operator, a comprehensive analysis of opportunity service age factor and safety failure probability factor was conducted to establish an indicator
Customer ServiceIn this article, a real-time fault prediction method combining cost-sensitive logistic regression (CS-LR) and cost-sensitive support vector machine classification (CS-SVM)
Customer ServiceProcesses 2023, 11, 1561 3 of 15 to a case study [29]; in order to systematically explain the pretreatment process, leaching process, chemical purification process, and industrial applications
Customer ServiceIn this paper, we propose a dynamic energy management system (EMS) for a solar-and-energy storage-integrated charging station, taking into consideration EV charging demand, solar power generation, status of
Customer ServiceTo solve this problem, a novel Borderline-SMOTE-based imbalance correction for CPFD is proposed in this paper. With regard to the imbalance correction, Borderline
Customer ServiceIn 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
Customer ServiceThe 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
Customer ServiceWhen the charging module fails, the charging pile can not charge normally, and in serious cases, the charging pile may be damaged and lose its charging function; Once the charging module of the DC charging post fails, its fault signal has significant nonlinear characteristics (Akhgarzarandy et al., 2021), and the fault characteristics are not ob...
Customer ServiceIn 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
Customer ServiceCombined with the fault parameters, the consequence of the charging pile failure event to the user is quantified as system risk. The risk tracking of the charging station is carried out, and the risk level of each station is evaluated with the maintenance sequence determined.
Customer ServiceTo solve this problem, a novel Borderline-SMOTE-based imbalance correction for CPFD is proposed in this paper. With regard to the imbalance correction, Borderline-SMOTE over-sampling technology is utilized to solve the problem of unbalanced samples.
Customer ServiceCompared to AC charging piles, DC charging piles have higher failure rates due to more components, larger operating power, and long-term outdoor exposure. Currently, preliminary operation and maintenance work has been carried out, but there are still issues such as rough planning, excessive dependence on experience, and unclear targets
Customer ServiceIn 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,...
Customer ServiceKeywords: Charging pile energy storage system Electric car Power grid Demand side response 1 Background The share of renewable energy in power generation is rising, and the trend of energy systems is shifting from a highly centralized energy system to a decentralized and flexible energy system. The distributed household energy storage instrument and electric vehicles can provide
Customer ServiceAutomatic Power Factor Correction: Systems that automatically adjust reactive power supply to maintain an optimal power factor. Mastering these concepts is crucial for implementing effective power factor correction strategies and optimizing electrical system performance. Techniques for Improving Power Factor. Various methods are employed to enhance power factor in electrical
Customer ServiceAt present, renewable energy sources (RESs) and electric vehicles (EVs) are presented as viable solutions to reduce operation costs and lessen the negative environmental effects of microgrids (μGs). Thus, the rising
Customer ServiceIn 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.
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.
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. In this section, the energy storage charging pile device is designed as a whole.
On the one hand, the energy storage charging pile interacts with the battery management system through the CAN bus to manage the whole process of charging.
However, the operation parameter data resources of the charging pile are limited, and cannot be further supplemented and improved according to the actual station operation scenario to obtain a more comprehensive and stable state evaluation or prediction.
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