Vehicle-to-Grid (V2G) is a technology that enables electric vehicles to use smart charging methods to harness low-cost and renewable energy when it is available, and obtain income by feeding ...
The data collected by the charging pile mainly include the ambient temperature and humidity, GPS information of the location of the charging pile, charging voltage and current, user information, vehicle battery information, and driving conditions . The network layer is the Internet, the mobile Internet, and the Internet of Things.
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.
The charging pile determines whether the power supply interface is fully connected with the charging pile by detecting the voltage of the detection point. Multisim software was used to build an EV charging model, and the process of output and detection of control guidance signal were simulated and verified.
The new energy storage charging pile system for EV is mainly composed of two parts: a power regulation system and a charge and discharge control system. The power regulation system is the energy transmission link between the power grid, the energy storage battery pack, and the battery pack of the EV.
Vehicle-to-Grid (V2G) is a technology that enables electric vehicles to use smart charging methods to harness low-cost and renewable energy when it is available, and obtain income by feeding ...
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 ...
Automatic Detection System of New Energy Vehicle Charging Pile Based on Image Recognition Jianbo Liu,Wenqiang Li, Weizhao Wang, Xuefeng Ma, Mei Yang, Bin Deng, Xinyan Wang Shandong Engineering Research Center of Reliability Evaluation for Electric Energy Metering Devices ÈShandong Institute of Metrology, No.28, Qianfoshan East Road, 250014 Jinan, …
This paper puts forward the dynamic load prediction of charging piles of energy storage electric vehicles based on time and space constraints in the Internet of Things environment, which can improve the load prediction effect of charging piles of electric vehicles and solve the problems of difficult power grid control and low power quality ...
The power supply infrastructure comprises the power grid, photovoltaic power generation devices, and energy storage. Because its primary function is to supply power to AC charging piles, DC charging piles, and energy storage systems, it is the foundation for coordinating and optimizing energy management throughout the entire VPP. There are ...
Through the analysis of different types of faults of the charging module of the DC charging pile, the accuracy and effectiveness of the fault diagnosis method is verified, and its accuracy rate …
PDF | On Jan 1, 2023, published Research on Power Supply Charging Pile of Energy Storage Stack | Find, read and cite all the research you need on ResearchGate
A fault detection method based on deep learning Convolutional Neural Networks and Long Short-Term Memory and the proposed CNN-LSTM method has the highest accuracy and exhibits …
In order to solve the problem of slow measuring speed, the image recognition technology is used to read the active electric energy of the charging pile. Combined with the filtering algorithm, the full-automatic and rapid verification of the charging pile can be realized, the work efficiency can be improved and the human error can be reduced.
specializing in energy storage, photovoltaic, charging piles, intelligent micro-grid power stations, and related product research and development, production, sales and service. It is a world-class energy storage, photovoltaic, and charging pile products. And system, micro grid, smart energy, energy Internet overall solution provider. Mindian Electric has a high-quality, high-level, high ...
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 monitoring charging pile operation safety. In this paper, an online platform for monitoring charging pile operation safety was constructed from three aspects: hardware, database, and software …
Therefore, a fault state detection method of DC charging pile based on the least fourth moment adaptive filtering algorithm is proposed. This method is based on the electrical …
In order to solve the problem of slow measuring speed, the image recognition technology is used to read the active electric energy of the charging pile. Combined with the filtering algorithm, the …
In addition, as concerns over energy security and climate change continue to grow, the importance of sustainable transportation is becoming increasingly prominent [8].To achieve sustainable transportation, the promotion of high-quality and low-carbon infrastructure is essential [9].The Photovoltaic-energy storage-integrated Charging Station (PV-ES-I CS) is a …
This paper proposes an error detection procedure of charging pile founded on ELM method. Different from the traditional charging pile fault detection model, this method constructs data …
Therefore, a fault state detection method of DC charging pile based on the least fourth moment adaptive filtering algorithm is proposed. This method is based on the electrical structure of DC charging pile.
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not.
Through the analysis of different types of faults of the charging module of the DC charging pile, the accuracy and effectiveness of the fault diagnosis method is verified, and its accuracy rate can reach more than 95.56%.
The simulation results in 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 ...
This paper puts forward the dynamic load prediction of charging piles of energy storage electric vehicles based on time and space constraints in the Internet of Things …
An abnormal detection system for charging piles is designed based on the power consumption side channel and machine learning, proving that the anomaly detection system can effectively …
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not.
Choosing new energy vehicles for travel, especially electric vehicles, is an important component of building a low-carbon urban transportation system. However, the charging need of electric vehicle users is still …
A fault detection method based on deep learning Convolutional Neural Networks and Long Short-Term Memory and the proposed CNN-LSTM method has the highest accuracy and exhibits the best performance in the electric vehicle charging pile diagnosis.
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not. We have verified three kinds of attacks, proving that our anomaly detection system can effectively detect attacks and protect the security and stable operation of ...
This paper proposes an error detection procedure of charging pile founded on ELM method. Different from the traditional charging pile fault detection model, this method constructs data for common features of the charging pile and establishes a classification prediction frame work that relies on the Extreme Learning Machine (ELM) algorithm ...
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not. We …
Processes 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 ...
An abnormal detection system for charging piles is designed based on the power consumption side channel and machine learning, proving that the anomaly detection system can effectively detect attacks and protect the security and stable operation of charging piles.
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