1 Introduction 1.1 Background and Motivation. The green and low-carbon development concept facilitates the wider application of electric vehicles (EVs), which are increasingly favored by the market for their clean and environmentally friendly characteristics (Zhang et al., 2020).According to the report from EV Volumes, the global sales of electric …
1 Introduction 1.1 Background and Motivation. The green and low-carbon development concept facilitates the wider application of electric vehicles (EVs), which are increasingly favored by the market for their clean and environmentally friendly characteristics (Zhang et al., 2020).According to the report from EV Volumes, the global sales of electric …
In order to accurately predict the power consumption data of charging piles, assist related enterprises to accurately predict the benefits of charging piles and further optimize the relationship between households and transformers, this paper proposes an improved Gate Recurrent Unit (IGRU) prediction model based on spline interpolation. This method first extracts relevant data …
A new energy vehicle charging pile is one of the key areas of "new infrastructure", accelerates the construction of the charging facilities network, on the one hand, strengthens the technological ...
With the increasingly serious energy crisis and environmental problems, EV (Electric Vehicle) has become the development trend of automotive energy and environmental protection in the future. As an important supporting system for the development of EV, the charging infrastructure will inevitably affect the power quality of the distribution network when …
In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices. …
The energy storage charging pile achieved energy storage benefits through charging during off-peak periods and discharging during peak periods, with benefits ranging …
Electric vehicles (EVs) and charging piles have been growing rapidly in China in the last five years. Private charging piles are widely adopted in major cities and have partly changed the charging behaviors of EV users. Based on the charging data of EVs in Hefei, China, this study aims to assess the impacts of increasing private charging piles and smart charging …
This paper introduces a novel electricity load time-series prediction model, utilizing a broad learning system to tackle the challenge of low prediction accuracy caused by the unpredictable nature of electricity load sequences in a specific region of China. First, a correlation analysis with mutual information is utilized to identify the key factors affecting the electricity …
Under the assumption of fast charging rules (the vehicle must leave when it''s fully charged), if the parking time is longer than the expected fast charging time, the EV chooses slow charging to avoid moving the car, and the demand for slow charging piles in the parking lot increases by 1; On the opposite, the EV chooses fast charging and the ...
Section II: Principles and Structure of DC Charging Pile. DC charging pile are also fixed installations connecting to the alternating current grid, providing a direct current power supply to non-vehicle-mounted electric vehicle batteries. They use three-phase four-wire AC 380V ±15% as input voltage, with a frequency of 50Hz.
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. ... In the future, we will further investigate the optimization ...
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 ...
As a result, these modeling approaches may fall short to support many real-world applications. On the other hand, while data-driven EV charging demand prediction models can be found in the ...
The integrated electric vehicle charging station (EVCS) with photovoltaic (PV) and battery energy storage system (BESS) has attracted increasing attention [1].This integrated charging station could be greatly helpful for reducing the EV''s electricity demand for the main grid [2], restraining the fluctuation and uncertainty of PV power generation [3], and consequently …
The city charging demands are aggregated from individual charging prediction results at a spatial resolution of 0.46 km and time resolution of 15 min quantitatively; the spatiotemporal aggregation results show that the proposed model can realize high accuracy prediction for real-world charging demands.
Solar photovoltaic (PV) farming is increasingly being used to power electric vehicles (EVs). Although many studies have developed dynamic EV charging prediction and scheduling models, few of them have coupled rooftop PV electricity generation with the spatiotemporal EV charging demands at an urban scale. Thus, this study develops a research …
This paper introduces a novel electricity load time-series prediction model, utilizing a broad learning system to tackle the challenge of low prediction accuracy caused by the unpredictable nature of electricity load …
Predicting the demand for Electric Vehicle charging energy is essential to increase utilization for the company, reduce costs for both car owners and the company and alleviate the burden on the electric grid stations. However, many factors may affect energy consumption at the station level, such as the growing popularity of EVs, time of day plugin, …
Energy usage for AC charging stations is forecasted in Fig. 19a using the SARIMA model for the last 2 months for already existing data and Fig. 19b uses SARIMA model for future consumption ...
Simulation results show that the proposed method can decrease both peak-valley difference and voltage deviation after the access of EV. This study can accurately forecast charging load …
Few attempts have been made to develop short-term EV charging demand prediction models. For example, Ma and Faye, (2022) developed a hybrid LSTM neural network with EV charging session data in the city of Dundee, which could predict charging demand for each charging pile in 10 min and 1 h. The results showed that the proposed model performed ...
With the government''s strong promotion of the transformation of new and old driving forces, the electrification of buses has developed rapidly. In order to improve resource utilization, many cities have decided to open bus charging stations (CSs) to private vehicles, thus leading to the problems of high electricity costs, long waiting times, and increased grid load …
Electric vehicles (EVs) and charging piles have been growing rapidly in China in the last five years. Private charging piles are widely adopted in major cities and have partly changed the charging behaviors of EV users. …
This model actively monitors the state of charge (SOC) of the charging station batteries, optimizing energy storage system utilization and ensuring a reliable power supply for vehicle charging.
China has built 55.7% of the world''s new-energy charging piles, but the shortage of public charging resources and user complaints about charging problems continues. Additionally, there are many other problems; e.g., the layout of the charging pile is unreasonable, there is an imbalance between supply and demand, and the time required for ...
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 …
For the problem of sequence prediction, the structural storage unit retains important information according to the importance of the data ... so AC piles may become the main charging mode in the future. Because the different proportions of the two will affect the overall demand for EVs for charging stations, in order to better the relationship ...
In recent years, new energy vehicles in Beijing have developed rapidly. This creates a huge demand for charging. It is a difficult problem to accurately identify the charging behavior of new energy vehicles and evaluate the use effect of social charging piles (CART piles) in Beijing. In response, this paper established the charging characteristics analysis model of …
The integration of power grid and electric vehicle (EV) through V2G (vehicle-to-grid) technology is attracting attention from governments and enterprises [1].Specifically, bi-directional V2G technology allows an idling electric vehicle to be connected to the power grid as an energy storage unit, enabling electricity to flow in both directions between the electric …
The forecast results show that in 2025, the ratio of NEVs to public charging piles will rise to 10.2:1 and the ratio to private charging piles will fall to 2.5:1. The overall ratio shows a downward trend and is expected to reach 2:1. ... and then introduced a combined CNN-LSTM model to predict future sales of new energy vehicles and ownership ...
This paper introduces a new electricity load time-series prediction model based on BLS, with the goal of addressing issues related to redundant, periodic, and stochastic electricity load data, as well as reducing the time spent …