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.
Based on the Internet of Things technology, the energy storage charging pile management system is designed as a three-layer structure, and its system architecture is shown in Figure 9. The perception layer is energy storage charging pile equipment.
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.
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.
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.
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.
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,...
To meet the charging needs of various types of EVs, energy storage charging piles are divided into fast-charging energy storage charging piles and slow-charging energy …
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) …
2.4 Charging piles classification Fig. 1 Literature keyword cluster analysis Fig. 2 Google trends analysis ... Table. 2 Charging method classification Classification methods Classification …
Classification of charging piles. Classified according to installation method. It can be divided into floor-mounted charging piles and wall-mounted charging piles. Floor-mounted charging piles are suitable for …
The photovoltaic-energy storage-integrated charging station (PV-ES-I CS), as an emerging electric vehicle (EV) charging infrastructure, plays a crucial role in carbon …
Energy pile groups for thermal energy storage in unsaturated soils. Energy pile groups provide superior thermal energy storage performance over boreholes. • Both energy pile geometry and …
Classification of charging piles. Classified according to installation method. It can be divided into floor-mounted charging piles and wall-mounted charging piles. Floor-mounted …
The data of 800 charging piles in the sample database are randomly divided and processed. 640 charging piles are selected to form the training set, and the remaining 160 charging piles constitute the test set. Table …
shows the tariff table for different time periods in a city, and this paper optimizes the energy storage charging piles according to the tariff table and load curves.Electricity tariffs …
This paper proposes a preventive maintenance decision model for electric vehicle charging stations based on mutation operators and lifecycle optimization to address …
New energy electric vehicles will become a rational choice to achieve clean energy alternatives in the transportation field, and the advantages of new energy electric …
This paper proposes a preventive maintenance decision model for electric vehicle charging stations based on mutation operators and lifecycle optimization to address …
The data of 800 charging piles in the sample database are randomly divided and processed. 640 charging piles are selected to form the training set, and the remaining 160 …
The operation and maintenance strategy for charging stations proposed in this paper is mainly divided into the following three parts: risk assessment, risk tracking, and …
This paper proposes a charging pile historical maintenance data based on cloud storage, as well as charging pile brand, model, environmental temperature and humidity indexes. The …
Based on the proposed fault prediction method, preventive maintenance based on a probability threshold with the minimum total expected cost is proposed and results show …
Because of the popularity of electric vehicles, large-scale charging piles are connected to the distribution network, so it is necessary to build an online platform for …
Situation 1: If the charging demand is within the load''s upper and lower limits, and the SOC value of the energy storage is too high, the energy storage will be discharged, …
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) …
IEEE Journal of Photovoltaics, 2020. This study assesses the feasibility of photovoltaic (PV) charging stations with local battery storage for electric vehicles (EVs) located in the United …
Table 1 Charging-pile energy-storage system equipment parameters Component name Device parameters Photovoltaic module (kW) 707.84 DC charging pile power (kW) 640 …
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, …