Benefit allocation model of distributed photovoltaic power generation vehicle shed and energy storage charging pile based on integrated weighting-Shapley method . August 2020; Global Energy ...
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.
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.
Due to the urgency of transaction processing of energy storage charging pile equipment, the processing time of the system should reach a millisecond level. 3.3. Overall Design of the System
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.
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.
Benefit allocation model of distributed photovoltaic power generation vehicle shed and energy storage charging pile based on integrated weighting-Shapley method . August 2020; Global Energy ...
In this study, the improved anti-noise adaptive Long Short-term memory (ANA-LSTM) neural network was used to extract fault characteristics, thus achieving the life …
This study introduces an enhanced method for detecting the status of charging stations, utilizing a Random Forest-based approach. Charging station status detection is addressed as a binary classification problem. We develop a model employing the Random Forest classification algorithm, which involves normalization and preprocessing of the data ...
The invention provides a mobile energy storage charging pile and a control method thereof. The control method comprises the steps that when the mobile energy storage charging pile …
This article systematically expounds the three basic algorithms of DC electric energy measurement, and uses comparative analysis method, interdisciplinary method and other research forms to study the content of this article. Experimental research shows that the accuracy of the charging pile metering equipment based on big data studied in this ...
By collecting and analyzing the operation data of charging piles, machine learning models can adaptively learn fault features, thereby realizing the detection and prediction of charging pile faults. Common methods include support vector machines (SVM), decision trees, random forests, and artificial neural networks ( Jiajia et al., 2019 ; Xu et ...
With the popularity of new energy vehicles, a large number of cities began to focus on the installation of electric vehicle charging piles. However, the existing intelligent charging piles have faced problems such as short supply, unreasonable distribution areas, and insufficient power supply. In response to these problems, this research proposes a recurrent …
In this study, the improved anti-noise adaptive Long Short-term memory (ANA-LSTM) neural network was used to extract fault characteristics, thus achieving the life prediction of charging pile batteries and providing reference for the status detection of charging piles. However, the signal data was not effectively processed by this method.
Abstract –In this paper, the active electric energy value of the charging pile and its change time scale are obtained through the image recognition algorithm, and the low-pass filter algorithm is used to filter out the time scale jitter.
By collecting and analyzing the operation data of charging piles, machine learning models can adaptively learn fault features, thereby realizing the detection and …
Accurately estimating sensor inter-cluster data is necessary to achieve the scalability of online detection technology for charging piles. The results show that the disconnection time of the...
After the enterpriseihas passed the benefit correction, the profit of this enterprise is correspondingly smaller. âˆ'' i n= n Q Q i i ≥ 1 n âˆ'' i n= n Q Q i i = 1 n âˆ'' i n= n Q Q i i ≤ 1 n Qingkun Tan et al. Benefit allocation model of distributed photovoltaic power generation vehicle shed and energy storage charging pile based on integrated weighting-Shapley method 381 ...
Abstract –In this paper, the active electric energy value of the charging pile and its change time scale are obtained through the image recognition algorithm, and the low-pass filter algorithm is …
The energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging …
Regarding temperature detection in batteries, current methods include embedded sensors [[20], [21], [22]], externally attached sensors [23, 24], and infrared detection. Gulsoy et al [ 22 ] embedded Cr Al thermocouple wires in the dual-hole ceramic tube of commercial cylindrical 21,700 lithium batteries, finding a temperature difference of about 4 °C between the internal …
The invention provides a mobile energy storage charging pile and a control method thereof. The control method comprises the steps that when the mobile energy storage charging pile charges a vehicle through an energy storage battery pack, whether the current state of charge of the energy storage battery pack of the mobile energy storage charging ...
new design and construction methods of the energy storage charging pile management system for EV are explored. Moreover, K-Means clustering analysis method is used to analyze the charging habit ...
This study introduces an enhanced method for detecting the status of charging stations, utilizing a Random Forest-based approach. Charging station status detection is addressed as a binary …
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 …
Moreover, a coupled PV-energy storage-charging station (PV-ES-CS) is a key development target for energy in the future that can effectively combine the advantages of photovoltaic, energy storage and electric vehicle …
This article systematically expounds the three basic algorithms of DC electric energy measurement, and uses comparative analysis method, interdisciplinary method and …
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. On this basis, combined with ...
Accurately estimating sensor inter-cluster data is necessary to achieve the scalability of online detection technology for charging piles. The results show that the disconnection time of the...
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