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.
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.
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.
However, traditional fault detection methods are still used in charging piles, which makes the detection efficiency low. This paper proposes an error detection procedure of charging pile founded on ELM method.
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.
The user can control the energy storage charging pile device through the mobile terminal and the Web client, and the instructions are sent to the energy storage charging pile device via the NB network. The cloud server provides services for three types of clients.
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 …
Electric vehicles are developing prosperously in recent years. Lithium-ion batteries have become the dominant energy storage device in electric vehicle application …
Therefore, a new s cale of variation is introduced [1 1], M. ... adding 1MW and 1.5MW of energy storage to the charging pile can increase the profit of the 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, …
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 …
To optimize grid operations, concerning energy storage charging piles connected to the grid, the charging load of energy storage is shifted to nighttime to fill in the …
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 proposed CNN-SVM fault diagnosis model has unique advantages and higher accuracy in fault diagnosis of the front and rear stages of the charging pile. However, it still has certain limitations and drawbacks in its …
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, …
For the characteristics of photovoltaic power generation at noon, the charging time of energy storage power station is 03:30 to 05:30 and 13:30 to 16:30, respectively . This results in the variation of the charging station''s …
Dahua Energy Technology Co., Ltd. is committed to the installation and service of new energy charging piles, distributed energy storage power stations, DC charging piles, integrated …
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 …
The proposed CNN-SVM fault diagnosis model has unique advantages and higher accuracy in fault diagnosis of the front and rear stages of the charging pile. However, it …
Perform three-layer wavelet packet decomposition and reconstruction of the fault characteristic parameters, calculate the frequency band energy spectrum data through the reconstruction …
In the future, Pacesetter New Energy will continue to face the world. Based on the business philosophy of "integrity, innovation and service", it will focus on the research and development …
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,...
For CPFD implementation, the LightGBM ensemble learning combined with a grid search cross-validation algorithm is designed to build a fault detection model. Related …
Perform three-layer wavelet packet decomposition and reconstruction of the fault characteristic parameters, calculate the frequency band energy spectrum data through the reconstruction …
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 vehicles rely on high …
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 …
In recent years, new energy vehicles in Beijing have developed rapidly. This creates a huge demand for charging. It is a difficult problem to accurately identify the charging …
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 …