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.
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.
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 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.
The charging station is equipped with three sets of 630kW/828kWh liquid-cooled energy storage systems, each set of liquid-cooled energy storage system integrates core equipment such as …
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 …
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 …
In this article, a real-time fault prediction method combining cost-sensitive logistic regression …
With the large-scale development of electric vehicles, the number of public charging piles in operation and the charging capacity are increasing year by year. However, …
In this paper, the battery energy storage technology is applied to the …
Different from the traditional charging pile fault detection model, this method constructs data for …
This paper puts forward the dynamic load prediction of charging piles of …
The main controller coordinates and controls the charging process of the charging pile and the power supplement process when it is used as a mobile energy storage …
In the megawatt super-high power charging system, the parameter configuration of electric vehicle charging topology needs to select the appropriate Q value according to …
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,...
In response to the dual carbon policy, the proportion of clean energy power generation is increasing in the power system. Energy storage technology and related …
Electric vehicle charging pile fault diagnosis (CPFD) technology has achieved rapid development and successfully implemented in the field of electric vehicle charging piles. …
Incorporation of renewable energy, such as photovoltaic (PV) power, along with energy storage systems (ESS) in charging stations can reduce the high load taken from the grid especially at …
The MHIHHO algorithm optimizes the charging pile''s discharge power and discharge time, as well as the energy storage''s charging and discharging rates and times, to …
Abstract: Big data mining technology is used to predict the faults of EV charging piles, which can effectively solve the current problem of difficult maintenance and management of charging …
The MHIHHO algorithm optimizes the charging pile''s discharge power and …
Incorporation of renewable energy, such as photovoltaic (PV) power, along with energy storage …
The experimental results show that the method has high prediction accuracy …
Abstract: Big data mining technology is used to predict the faults of EV charging piles, which …
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, …
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 …
The experimental results show that the method has high prediction accuracy and strong practicability. It can accurately reflect and predict the operation state of charging …
Different from the traditional charging pile fault detection model, this method constructs data for common features of the charging pile and establishes a classification …
It considers the attenuation of energy storage life from the aspects of cycle capacity and depth of discharge DOD (Depth Of Discharge) [13] believes that the service life …
According to the number and distribution of existing charging piles, as well as the charging quantity of electric vehicles in each region, the travel law of electric vehicles is analyzed by …