With the application of the Internet of Things (IoT), smart charging piles, which are important facilities for new energy electric vehicles (NEVs), have become an important part of the smart grid. - Download [PDF]
With the application of the Internet of Things (IoT), smart charging piles, which are important facilities for new energy electric vehicles (NEVs), have become an important part of the smart grid.
Lithium batteries are becoming increasingly important in the electrical energy storage industry as a result of their high specific energy and energy density. The literature provides a comprehensive summary of the major advancements and key constraints of Li-ion batteries, together with the existing knowledge regarding their chemical composition.
With the development of electric vehicles in China, the fault monitoring and warning systems for the charging process of electric vehicles have received the industry''s attention. A method for the monitoring and warning of electric vehicle charging faults based on a battery model is proposed in this paper. Through online estimation of the state of charge of the power battery model and …
the Charging Pile Energy Storage System as a Case Study Lan Liu1(&), Molin Huo1,2, Lei Guo1,2, Zhe Zhang1,2, and Yanbo Liu3 1 State Grid (Suzhou) City and Energy Research Institute, Suzhou 215000, China lliu_sgcc@163 2 State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
As the battery pack is the heart of an EV, the on-board power systems that supply energy to the battery pack through charging piles, cables, and wiring harness, charging guns, and related components that help the EVs to get charged through the process of ''conduction'', becomes as important as the arteries and veins in the human body.
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) …
Firstly, the characteristics of electric load are analyzed, the model of energy storage charging piles is established, the charging volume, power and charging/discharging timing constraints in the ...
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 using the travel chain theory and Monte Carlo algorithm; then, according to the user travel rules and the charging pile capacity of each area, each area is rated, and a hierarchical V2G distribution …
Electrical energy storage systems include supercapacitor energy storage systems (SES), superconducting magnetic energy storage systems (SMES), and thermal energy storage systems . Energy storage, on the other hand, can assist in managing peak demand by storing extra energy during off-peak hours and releasing it during periods of high demand [ 7 ].
A large amount of research has been conducted on optimizing power-consuming equipment in data centers. Chip energy saving has been studied recently, including advanced manufacturing technologies [8], energy- and thermal-aware workload scheduling algorithms [9, 10], and power management strategies [11].The efficiency of UPS itself can …
Electric vehicle DC charging stations have always been plagued by frequent malfunctions, difficult maintenance, and high repair costs, but traditional fault detection methods are inefficient. Therefore, a diagnostic method is proposed for the operational status of DC charging station charging modules based on wavelet packet decomposition and convolutional neural networks …
Nowadays, EVs are exhibiting a development pattern that can be described as both quick and exponential in the automotive industry. EVs use electric motors powered by rechargeable batteries, rather than internal combustion engines, to drive the vehicle [[1], [2], [3], [4]].This makes much more efficient and produces zero tailpipe emissions, making a cleaner …
DOI: 10.1109/ICCMC48092.2020.ICCMC-000157 Corpus ID: 216103888; Fault Detection of Electric Vehicle Charging Piles Based on Extreme Learning Machine Algorithm @article{Gao2020FaultDO, title={Fault Detection of Electric Vehicle Charging Piles Based on Extreme Learning Machine Algorithm}, author={Xinming Gao and Gaoteng Yuan and Mengjiao …
The experimental results show that the accuracy of this method in preventive maintenance decision-making for electric vehicle charging piles can reach 98%, with an average preventive maintenance decision-making time of 1.6 s for load piles. At the same time, the risk probability value and load loss value are effectively controlled.
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.
The feasibility of the proposed model is illustrated through the case study on fault prediction of real-world smart charging piles. To demonstrate the advantage in prediction accuracy, the proposed fault prediction model is compared with the classic baseline models, such as LR, SVM, decision tree (DT), -nearest neighbor (KNN), and ...
charging piles [31]. In view of the above situation, in the Section2of this paper, energy storage technology is applied to the design of a new type charging pile that integrates charging, discharging,
This paper proposes a preventive maintenance decision model for electric vehicle charging stations based on mutation operators and lifecycle optimization to address …
Energy Grid Optimization: Charging piles can be integrated with smart grid technologies, enabling load management and demand response. By scheduling charging during off-peak hours or based on grid capacity, charging piles help optimize energy consumption and reduce strain on the power grid.
The U.S. Department of Energy [49] estimates the average monthly cost of charging an EV to be between $60 to $80, whereas the average monthly cost for refueling a gas-powered vehicle is about $129 (i.e., $49 – $69 cost-saving difference). 6 Ultimately, users'' purchasing decisions between these vehicle options hinge on finding a balance ...
Mobile energy storage is connected to the power grid through charging piles. When a fault occurs in the distribution network, mobile energy storage is dispatched for power …
Experience innovation with our leading brand. We produce cutting-edge DC protection products, EV charging stations, and more. Our products ensure reliability and performance for solar photovoltaic, battery energy storage, and EV charging systems.
Table 1 Charging-pile energy-storage system equipment parameters Component name Device parameters Photovoltaic module (kW) 707.84 DC charging pile power (kW) 640 AC charging pile power (kW) 144 Lithium battery energy storage (kW·h) 6000 Energy conversion system PCS capacity (kW) 800 The system is connected to the user side through the ...
As summarized in Table 1, some studies have analyzed the economic effect (and environmental effect) of collaborated development of PV and EV, or PV and ES, or ES and EV; but, to the best of our knowledge, only a few researchers have investigated the coupled photovoltaic-energy storage-charging station (PV-ES-CS)''s economic effect, and there is a …
tion of comprehensive office building, dormitory, maintenance workshop, etc. In the future, with the increase of charging piles, the load of charging piles will be secondary load. The load curve is shown in the following figure (Fig. 1). According to the load situation, configure the scenery resources. Combined with
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 charging piles, and make full use of them [5]. The photovoltaic and energy storage systems
The energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging …
2. Considering the optimization strategy for charging and discharging of energy storage charging piles in a residential community. In the charging and discharging process of the charging piles in the community, due to the inability to precisely control the charging time periods for users and charging piles, this paper divides a day into 48 time slots, with the control system …
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 …
Figure 1 is presented to illustrate the whole operation mechanism of scheduling the mobile energy storage, aiming to enhance the reliability of the distribution network. Mobile energy storage is connected to the power grid through charging piles. When a fault occurs in the distribution network, mobile energy storage is dispatched for power support according to the …
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 …
With the application of the Internet of Things (IoT), smart charging piles, which are important facilities for new energy electric vehicles (NEVs), have become an important part of the smart grid. 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. …
Request PDF | On Dec 1, 2022, Wen Wang and others published Maintenance Worker Scheduling for Charging Pile Fault: a Multi-Agent RL Approach | Find, read and cite all the research you need on ...
Based on this, combining energy storage technology with charging piles, the method of increasing the power scale of charging piles is studied to reduce the waiting time for users to charge. …
A battery charger can allow a unidirectional or bidirectional power flow at all power levels. The bidirectional power flow adds to the grid-to-vehicle interaction (G2V) also the vehicle-to-grid (V2G) mode [].This latter technology can bring significant improvement in the overall reliability of the distribution grid, since in case of system failure, peak load demand or …
models can judge the fault of the charging pile or optimize the charging quality to a certain extent, but the operating state parameters of the charging pile are not much involved, and only include …
DOI: 10.1109/ACPEE56931.2023.10135642 Corpus ID: 258994778; Fault Detection System of Charging Pile Based on Embedded Device @article{Wang2023FaultDS, title={Fault Detection System of Charging Pile Based on Embedded Device}, author={Zhilei Wang and Ganzhen Zhang and Xudong Zhao and Wangbin Hou and Renhai Feng and Haifeng Xu}, journal={2023 8th …
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 reduction and alleviating ...
Taking the minimum dynamic maintenance cost rate of the electric vehicle charging pile as the goal, and taking the effectiveness of the electric vehicle charging pile and the reliability of the electric vehicle charging …
With the application of the Internet of Things (IoT), smart charging piles, which are important facilities for new energy electric vehicles (NEVs), have become an important part of the smart grid. 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.
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 …
Fig. 13 compares the evolution of the energy storage rate during the first charging phase. The energy storage rate q sto per unit pile length is calculated using the equation below: (3) q sto = m ̇ c w T i n pile-T o u t pile / L where m ̇ is the mass flowrate of the circulating water; c w is the specific heat capacity of water; L is the ...