Accurate and efficient localization of hydrogen leakage is crucial for ensuring the safe and stable operation of hydrogen refueling stations this paper, a hybrid model (CEEMDAN–CNN–LSTM) based on data noise reduction and deep learning is proposed to predict the location of hydrogen leakage in hydrogen refueling stations. The model employs the …
Microdevice integrating energy storage with wireless charging could create opportunities for electronics design, such as moveable charging. Herein, we report seamlessly integrated wireless ...
The apparatus comprises a metering pump for constant leakage of water, a test section where the leakage is simulated, and a DTS system for leakage detection sensors. The working fluid in the test section does not circulate nor is it pressurized, and only a small amount of water leakages by the metering pump. The test section comprises an inner pipe, an outer pipe, …
The advantages of a lithium-ion battery over other types of energy storage devices ... A review of recent trends in wireless power transfer technology and its applications in electric vehicle wireless charging. Renew Sustain Energy Rev 91:490–503 . Article Google Scholar Yilmaz M, Krein PT (2012) Review of charging power levels and infrastructure for plug …
The test results show that the proposed method can effectively process different fault signals of charging modules of DC charging pile, determine the characteristic value …
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 calculation, the energy storage system should have a capacity between 500 kWh to 2.5 MWh and a peak power capability up to 2 MW. Having defined the critical components of the charging station—the sources, the loads, the energy buffer—an analysis must be done for the four power conversion systems that create the energy paths in the station.
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 caused by the …
The model comprises the filling machine, high-pressure hydrogen storage tank, compressor, trailer hydrogen storage tank, blast wall, and ancillary rooms. The hydrogen leakage dispersion simulation considers hydrogen and air as two gas components. It follows the conservation of mass, momentum and energy and satisfies the component equations. The …
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are …
Machine learning is a thriving field of artificial intelligence that gives computer systems the ability to learn from and make predictions on data, without being explicitly programmed [16], [17].For the LFD of DHNs, we can develop machine learning-based detector that learn functional correlations between leakage faults and corresponding observation data.
Finally, the results from the ESC TR experiments, voltage difference experiments, electrolyte leakage experiments and real vehicle tests confirm the specificity of the method for detecting electrolyte leakage; the method achieves accurate detection of electrolyte leakage in the early stage, and false alarms from normal battery packs are avoided. Compared …
In recent years, several data-driven methods were proposed to analyze the state and quality of LIBs using a wide range of analysis methods [11].To predict the lifetime or the remaining useful life (RUL), a variety of methods from the fields of stochastic processes, filtering, and artificial methods were applied [12] particular, feature-based approaches are a …
With the increasing demand for energy and the continued use of gas as a primary source, it is essential to invest in smart gas leakage detection systems that can guarantee safety in the long run. The systems are designed to provide early warning alerts, which can help prevent accidents and save lives. The development of the smart gas leakage detection system is a crucial step …
Additionally, some researchers achieved the leakage detection with the low-cost and low-power WSNs [12,13,14]. However, most of researchers developed the WSNs for leakage detection of pipelines according to the pressure, temperature, strain, acoustic signals, etc. [15, 16]. In this paper, a smart wireless vibration sensing system, including a ...
In order to better investigate the effect of leakage on the performance of lithium-ion batteries and to extract effective features for developing machine learning fault diagnosis algorithms, in this paper we selected the electrolyte leakage battery of an electric vehicle for experiments. The battery pack and cells of the EV are known to have no …
Energy storage includes pumped storage, electrochemical energy storage, compressed air energy storage, molten salt heat storage etc . Among them, electrochemical energy storage based on lithium-ion battery (LIB) is less affected by geographical, environmental, and resource conditions. It has the advantages of short construction period, …
Underground hydrogen storage (UHS) is considered as a scalable approach for massive storage and seasonal extraction of hydrogen (H 2).Although conventional leakage detection and characterization methods based on time-lapse seismic imaging and inversion generally apply to H 2 leakage detection problem, a high-fidelity yet cost effective geophysics …
At the initial stage of the leakage fault, the tendency of voltage increase during battery charging would offset part of the voltage drop due to leakage, while the tendency of voltage drop during discharge would be more obvious (Fig. 6). Therefore, the variation rate of the voltage difference between the leaking cell voltage and the standard voltage (the …
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 . The photovoltaic and energy storage systems in the station are DC power sources, which can …
Standardization before the year 2010 addresses only a few aspects of the charging process like detection of power for charging and sleep mode in the absence of charging power. This process was framed in the international standard IEC 61682:2001. Since 2008, the process of standardization has been intensified and addressed aspects of connector …
In order to solve the security problem of charging piles, we designed an abnormal detection system for charging piles based on the power consumption side channel and machine learning.
The current leakage detection techniques only provide information about the leaks during testing and do not support real-time monitoring. This study is focused on developing machine learning models …
of Wind Power Solar Energy Storage Charging Pile Chao Gao, Xiuping Yao, Mu Li, Shuai Wang, and Hao Sun ... that the wind speed of the selected machine position in this area is about 5.5–6.0 m/ s at the height of 120 m. The 85 m height is estimated to be 4.6–5.0 m/s. According to the above air density calculation formula, the air density ρ in this area is estimated ...
In this paper, for the 380 V/50 Hz charging pile AC system, a point contact and carbonization path experimental platform is constructed to analyze two different series arc faults. On this basis, a detection method …
The traditional charging pile management system usually only focuses on the basic charging function, which has problems such as single system function, poor user experience, and inconvenient management. In this …
and the advantages of new energy electric vehicles rely on high energy storage density batteries and ecient and fast charg-ing technology. 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 the charging speed. Each charging unit …
Underground compressed air energy storage (CAES) in lined rock caverns (LRCs) provides a promising solution for storing energy on a large scale. One of the essential issues facing underground CAES implementation is the risk of air leakage from the storage caverns. Compressed air may leak through an initial defect in the inner containment liner, such …
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 …
security problem of charging piles, we designed an abnormal detection system for charging piles based on the power consumption side channel and machine learning. 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 ...
New energy electric vehicles will become a rational choice to realize the replacement of clean energy in the field of transportation; the advantages of new energy electric vehicles depend on the batteries with high energy storage density and the efficient charging technology. This paper introduces a 120-kW electric vehicle DC charger. The DC charger has …
Artificial intelligence technologies are reviving the entire proactive repair system for leakage issues in industries with a real-time strategy for the current era of industry 4.0. In the present work, Gas sensor and an infrared thermography is used in this work to analyze the effectiveness of finding gas leaks. The effectiveness of the proposed work is to extract the …
In order to evaluate the proposed method for leakage detection using an IR camera and machine vision techniques, the results of leakage detection and localization in the test videos are discussed in this section. For evaluation, two different datasets are provided. In the first dataset, the data is provided in the MP4 format, while the data in the second dataset is …
In Figure 1, S1, S2, S3, and S4 are switching elements; the function of smoothing reactors L1 and capacitors C1 is to reduce the output ripple. Usually, the point-contact arc fault occurs between points A and B, and the carbonization path fault occurs on the B–C path. The point contact and carbonization path arc fault experimental platform is constructed according to …
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 …
In order to facilitate remote monitoring and management of charging piles, Narrow Band Internet of Tings (NB-IoT) technology is widely used in the development and …
The main security risks to the system are shown in Fig. 6. photovoltaic PC App network Model center Strategy center Acquisition control center Shared capacity center Ecological platform development Shared capacity center LAN Isolating device bluetooth bluetooth operation Charging pile Energy storage Term inal equipm ent Relationship between the ...
Further, studies are explored to classify the leakage with different rate of flow of leakage using machine learning algorithms, i.e., support vector machine (SVM) and relevance vector machine (RVM). In this study, binary class and multiclass classification are employed for SVM and for RVM, binary class is used for classification. To construct a decision boundary …
The new energy vehicle system is in the initial stage of application, so the probability of fault is greater. Therefore, its reliability urgently needs to be improved. In order to improve the fault diagnosis effect of new energy vehicles, this paper proposes a fault diagnosis system of new energy vehicle electric drive system based on improved machine learning and …
This work tests the disassembled leaking battery module of the practical vehicle. The incremental capacity analysis of the charging process indicated that the battery …
As an emerging solar energy utilization technology, solar redox batteries (SPRBs) combine the superior advantages of photoelectrochemical (PEC) devices and redox batteries and are considered as alternative candidates for large-scale solar energy capture, conversion, and storage. In this review, a systematic summary from three aspects, including: …
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, …
Machine learning (ML), coupled with big data, has been flourishing in recent years. Integrating human knowledge into machine learning (Deng et al., 2020) has achieved functions and performance not available before and facilitated the interaction between human beings and machine learning systems, making machine learning decisions understandable to …
contactor detection Applications • AC charging (pile) station EVSE GND PE Neutral C 3 4 A Neutral Type 2 Connector Electric Vehicle Inlet 1 6 Connector to AM62x Board B RCD AC & DC 7 C A B Neutral Plug Lock Pilot Wire Isolated Power Supply & Backup Supply 5 2 Plug Lock Driver Relay Driver MCU MCU Pilot Wire Weld Detect RCD Description TIDUF04 – …
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. Experimental results evinces that the frame works accuracy is 83%, with a high efficiency, strong practicability, and is easy to …
Scientific Reports - An energy and leakage current monitoring system for abnormality detection in electrical appliances Skip to main content Thank you for visiting nature .
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 length of energy pile; T in …
Li et al. In this paper, it appears that the author is developing a theft detection device called the SETS (Smart Energy Theft System) which uses machine learning and mathematical models. It has three phases of decision-making modules; the first phase has a prediction model that uses a multidisciplinary forecast system. This program incorporates a …
The built online monitoring platform has become a necessary guarantee for the safe use of charging piles because it can realize real-time monitoring of multiple working …
