[7] Hong H, Su Y, Zheng P et al 2021 A SVM-based detection method for electricity stealing behavior of charging pile [J] Procedia Computer Science 183 295-302
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AI Customer ServiceThe invention relates to the technical field of charging pile detection methods, in particular to a detection method of a new energy high-power direct-current charging pile, which...
AI Customer ServiceThis paper firstly introduces the testing purpose and development history of charging pile
AI Customer Service2.1 Wavelet transform. Standard 1D analysis, like time-domain or frequency-domain analysis, often cannot capture the true pattern of damage circumstances, particularly
AI Customer ServiceThis article systematically expounds the three basic algorithms of DC electric energy measurement, and uses comparative analysis method, interdisciplinary method and
AI Customer ServiceThe 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
AI Customer ServiceWith the pervasiveness of electric vehicles and an increased demand for fast charging, stationary high-power fast-charging is becoming more widespread, especially for the purpose of serving pure electric buses (PEBs)
AI Customer ServiceThe MHIHHO algorithm optimizes the charging pile''s discharge power and
AI Customer ServiceTherefore, a DC charging pile charging module fault state detection method
AI Customer ServiceThis 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
AI Customer ServiceThis paper proposes a charging pile historical maintenance data based on cloud storage, as
AI Customer ServiceTherefore, a DC charging pile charging module fault state detection method based on the minimum fourth-order moment adaptive filtering algorithm is proposed in order to
AI Customer ServiceThis article systematically expounds the three basic algorithms of DC electric
AI Customer ServiceThe simulation results of this paper show that: (1) Enough output power can
AI Customer ServiceTo fill the research gap in this important topic, a horizontal shell-and-tube six-fin latent heat thermal energy storage unit is investigated in this study, and the effects of mechanical
AI Customer Service3 Development of Charging Pile Energy Storage System 3.1 Movable Energy Storage Charging System At present, fixed charging pile facilities are widely used in China, although there are
AI Customer ServiceThis paper firstly introduces the testing purpose and development history of charging pile testing devices, secondly summarizes the main functions and working principles of existing charging
AI Customer ServiceVehicle-to-Grid (V2G) is a technology that enables electric vehicles to use smart charging methods to harness low-cost and renewable energy when it is available, and obtain
AI Customer ServiceThis paper proposes a charging pile historical maintenance data based on cloud storage, as well as charging pile brand, model, environmental temperature and humidity indexes. The
AI Customer ServiceIn 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,
AI Customer ServiceThis paper proposes an error detection procedure of charging pile founded on ELM method.
AI Customer ServiceA Real-Time Structural Damage Detection method for High-Pile Wharf Foundations. January 2021; E3S Web of Conferences 283:01022; Considerable effort has been put into vibration-based methods
AI Customer ServiceElectric vehicles (EVs) are prone to spontaneous combustion during charging, which can lead to safety accidents. Therefore, it is critical to accurately obtain the charging
AI Customer ServiceTo fill the research gap in this important topic, a horizontal shell-and-tube six-fin latent heat
AI Customer ServiceIn this paper, the battery energy storage technology is applied to the
AI Customer ServiceAs shown in Fig. 1, a photovoltaic-energy storage-integrated charging station (PV-ES-I CS) is a novel component of renewable energy charging infrastructure that combines
AI Customer ServiceThe authors reported an accuracy rate of 98.9%. Zhang and Jin [28] introduced a new procedure built on machine vision for electric vehicle charging socket detection and
AI Customer ServiceThe 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
AI Customer ServiceIn 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.
The charging pile determines whether the power supply interface is fully connected with the charging pile by detecting the voltage of the detection point. Multisim software was used to build an EV charging model, and the process of output and detection of control guidance signal were simulated and verified.
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.
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.
The energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging from 699.94 to 2284.23 yuan (see Table 6), which verifies the effectiveness of the method described in this paper.
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.
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