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)
In recent years, the world has been committed to low-carbon development, and the development of new energy vehicles has accelerated worldwide, and its production and sales have also increased year by year. At
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
For electric vehicles (EV s) choosing the same target charging station, appropriate guidance for them to choose the appropriate charging pile for charging will help reduce the charging waiting time of EV users and increase the utilization rate of charging piles. In this context, a scheduling optimization method for charging piles in EV charging stations is based on Mixed Integer
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 first used to classify the fault data of smart charging piles, then the CS-SVM is adopted to predict the faults based on the classified data.
energy-electric vehicle charging piles, many scholars at home and abroad have adopted different research * Corresponding author: [email protected] .cn methods. It can be seen that in terms of charging pile layout optimization, there are many algorithms that can be used, the relevant charging pile layout optimization
DOI: 10.3390/pr11051561 Corpus ID: 258811493; Energy Storage Charging Pile Management Based on Internet of Things Technology for Electric Vehicles @article{Li2023EnergySC, title={Energy Storage Charging Pile Management Based on Internet of Things Technology for Electric Vehicles}, author={Zhaiyan Li and Xuliang Wu and Shen Zhang
The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power resources during off-peak periods, reduces user charging costs by 16.83 %-26.3 %, and increases Charging pile revenue.
The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power
Therefore, explore and study a high-quality charging pile layout scheme, which can not only facilitate the charging of new energy vehicle owners, meet their needs, relieve their charging confusion, but also save costs and improve the profitability of related enterprises and enhance the competitive advantage of charging pile operators.
Proposed strategies include optimized planning for charging pile construction, the creation of integrated vehicle-charging-pile platforms, the development of distributed
Proposed strategies include optimized planning for charging pile construction, the creation of integrated vehicle-charging-pile platforms, the development of distributed energy systems...
The promotion of electric vehicles (EVs) is an important measure for dealing with climate change and reducing carbon emissions, which are widely agreed goals worldwide. Being an important operating mode for electric vehicle charging stations in the future, the integrated photovoltaic and energy storage charging station (PES-CS) is receiving a fair
:As the world''s largest market of new energy vehicles, China has witnessed an unprecedented growth rate in the sales and ownership of new energy vehicles. It is reported that the sales volume of new energy passenger vehicles in China reached 2.466 million, and ownership over 10 million units in the first half of 2022.. The contradiction between the
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 maximize the charging pile''s revenue and minimize the user''s charging costs.
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 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
The analysis of the application scenarios of smart photovoltaic energy storage and charging pile in energy management can provide new ideas for promoting China''s energy transformation and
Table 1 systematically reviews and compares the present charging methods for lithium-ion battery packs. Different charging methods are compared with their performances in minimizing the charging time, enhancing the charging efficiency, and extending the battery life. The reviewed literature shows that charging with the non-feedback-based
Electric vehicle smart charging can support the energy transition, but various vehicle models face technical problems with paused charging. Here, authors show that this issue occurs in 1/3 of the
Therefore, more effective methods are needed to make preventive maintenance decisions for electric vehicle charging piles. Scholars have also studied the application of different types of particle swarm
Therefore, explore and study a high-quality charging pile layout scheme, which can not only facilitate the charging of new energy vehicle owners, meet their needs, relieve their charging
City-level Charging Facility Full-chain Solutions. We provide comprehensive charging solutions covering the entire operational chain, from site survey and planning, investment and ROI analysis, station construction, low-voltage apparatus platform integration, and charging ecosystem management, to R&D and manufacturing of various charger specifications, installation,
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
The analysis of the application scenarios of smart photovoltaic energy storage and charging pile in energy management can provide new ideas for promoting China''s energy transformation and building a smart city. This paper takes the smart photovoltaic energy storage charging pile as the research object, studies the energy management strategy
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.
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.
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.
The 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 control guidance circuit can meet the requirements of the charging pile; (3) during the switching process of charging pile connection state, the voltage state changes smoothly.
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.
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.
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