Energy Charging Station Research Articles

Quad‐active‐bridge converter with flexible power flow based on LC series resonance decoupling for renewable energy charging stations

AbstractIntegration of photovoltaic panels (PV) with electric vehicle (EV) charging stations could reduce the grid impact and carbon footprint from the extensive fast and ultra‐fast charging. This paper introduces a decoupled quad‐active‐bridge converter (QAB) with multi‐directional power flow capability, which can integrate PV, energy storage (ES), grid, and EV in a charging station and rule the power among them. As the number of ports increases in the multiple‐active‐bridge converter, the complexity of control increases exponentially because of power decoupling. For the QAB, by tuning one port in series with LC units, the decoupling is achieved between the other three ports, reducing the control difficulty significantly. Further, the resonance decoupling method is extended to the n‐port converter. For different power flows, the system automatically switches between different resonance modes to form higher‐efficiency power flow channels. Three operating modes with decoupled closed‐loop control methods have been constructed for the QAB to be suitable for future charging stations: (1) Charging mode: PV, ES, and grid coordinate with each other to provide incessant and stable charging for EV. (2) Electricity sales mode: Gird is supplied by PV, ES, and EV flexibly. (3) Under no load, PV power is stored locally. Experimental waveforms were presented by a 1‐kW prototype, verifying the effectiveness of power decoupling and the feasibility of the three operating modes.

Dynamic capacitated facility location problem in mobile renewable energy charging stations under sustainability consideration

The deployment of mobile renewable energy charging stations plays a crucial role in facilitating the overall adoption of electric vehicles and reducing reliance on fossil fuels. This study addresses the dynamic capacitated facility location problem in mobile charging stations from a sustainability perspective. This paper proposes Two-stage stochastic programming with recourse that performs well for this application, and the location of the mobile renewable energy charging station (MRECS) management addresses the complex dynamics of reusable items. To solve this problem, we suggested dealing with differential evolutionary (DE) and DE Q-learning (DEQL) algorithms, as two novel optimization and reinforcement learning approaches, are presented as solution approaches to validate their performance. Evaluation of the outcomes reveals a considerable disparity between the algorithms, and DEQL performs better in solving the presented problem. In addition, DEQL could minimize the total operation cost and carbon emission by 7% and 20%, respectively. In contrast, the DE could decrease carbon emissions and total operation costs by 5% and 2.5%, respectively.

Research on optimal operation strategy of regional multi-heterogeneous energy charging station considering Bi-direction satisfaction and traffic network coupling

Low battery capacity and long charging time constrain the development of electric vehicles (EV), while hydrogen fuel vehicles (HV) have complementary advantages of electric-hydrogen coupling and fast charging, and the synergistic development of the two has become a feasible development route. In this paper, the concept of energy charging station (ECS) has been proposed to meet the demand of diversified energy supply. Then, to solve the separation between the satisfaction of customer and operator, a bi-directional satisfaction model has been proposed to solve the dilemma of economic optimal caused by the conflict of satisfaction, and have been applied to the optimization of the lower layer of single ECS. Moreover, the influence of on the cooperative optimization of bi-directional satisfaction and ECS on the urban transportation networks (UTN) characteristics has been considered, an improved UE-TAP algorithm has been proposed and applied to the upper optimization architecture of multi-heterogeneous ECS, which can help the UTN and multiple ECS reach a user equilibrium (UE). Finally, the case studies on 5-node and 20-node system have been conducted to verify the correctness and feasibility of the proposed framework and strategy. The results shows that our method can enhances coordinated UTN and ECS, reducing the traffic congestion and improving the satisfaction of both users and operators.

Efficient Integration of Renewable Energy for Electric Vehicle Charging: A Hybrid System Approach

Recent years have seen the development of a cutting-edge hybrid renewable energy charging station for electric cars (EVs). In order to provide an effective and long-lasting charging infrastructure for EVs, the project focuses on merging various renewable energy technologies, such as solar and wind power, with energy storage systems. Electric vehicles (EVs) are crucial in lowering carbon emissions and dependence on fossil fuels as the shift to sustainable transportation gathers steam. However, the creation of a reliable charging infrastructure is necessary for the broad adoption of EVs. In this project, a hybrid renewable energy-based electric vehicle charging station (HREB-EVCS) is designed and put into operation. The HREB-EVCS leverages the integration of renewable energy sources, such as solar and wind power, along with energy storage systems to ensure uninterrupted and sustainable charging for EVs. The project focuses on optimizing the utilization of renewable energy resources and managing the charging process efficiently. The charging station incorporates advanced control algorithms and smart grid technologies to intelligently distribute power among EVs based on demand, renewable energy availability, and grid conditions. The project aims to demonstrate the viability and effectiveness of the HREB-EVCS in providing clean, reliable, and cost-effective charging solutions for EVs. The results of the project will contribute to the advancement of sustainable transportation infrastructure and facilitate the wider adoption of EVs by addressing the challenges associated with charging infrastructure and renewable energy integration.

Schedulable capacity assessment method for PV and storage integrated fast charging stations with V2G

AbstractAn accurate estimation of schedulable capacity (SC) is especially crucial given the rapid growth of electric vehicles, their new energy charging stations, and the promotion of vehicle‐to‐grid (V2G) technology. In this study, an evaluation approach for a photovoltaic (PV) and storage‐integrated fast charging station is established. The energy relationship between the SC of electric vehicles (EVs), the SC of centralized energy storage, and the PV power generation is constructed to solve for the upward SC and downward SC of the entire charging station based on the detailed explanation of the electrical structure of the PV and storage integrated fast charging station. To facilitate the grid to improve the dispatching efficiency, a strategy for solving the daytime SC is developed. This work uses an actual charging station as the research object for case analysis, and fine‐grained modeling of its component characteristics is finished in order to test the validity and robustness of the model. Four views are used to examine the variable properties and affecting elements of the schedulable capacity: light circumstances, EV load typical scenarios, dispatching interval length, and centralized energy storage configuration.

Stasiun Pengisian Energi Baterai Ramah Lingkungan Berbasis Panel Surya

The used of electrical power on gadgets is classified as minimal. However, if it is multiplied by the number of users, the electrical energy that required is not small. In the Sea Village, Latambaga, Kolaka, the courier services have sprung up and usually gathers to rest and charged their gadget batteries. However, couriers often charged their gadget batteries at restaurants or coffee shops, it could be detrimental to the restaurants or coffee shops owner because their electricity costs will increase. According to these problems, we need a device that is able to store the alternative energy, namely an Environmentally Friendly Battery Energy Charging Station. This research is based on solar panels, with the used of adequate battery capacity and an inverter as a DC-AC current converter so that it can be used to charge the couriers gadgets, the Telegram API bot as an IoT application for notification of device and battery power conditions to the admin device. This system is expected to help the couriers which operate in the villages of Sea, Latambaga, Kolaka in meeting the needs of environmentally friendly and inexpensive electrical energy.

Techno-economic evaluation of electric vehicle charging stations based on hybrid renewable energy in China

The purpose of the study is to investigate the technical and economic feasibility of hybrid solar photovoltaic (PV) and wind turbine (WT) power systems for environment-friendly electric vehicle (EV) charging stations at five different locations in China. The HOMER Pro 3.14 software using derivative-free algorithm has been used to search for the optimal scheme of the charging stations. The results show that the best solution considering renewable energy charging stations in the five regions is the hybrid PV/WT/battery EV charging station. Furthermore, the PV/WT/battery charging station for Nanjing is the most economical, while the PV/WT/battery charging station in Zhengzhou is the least economical. The hybrid PV/WT/battery EV charging stations in the five regions can meet current requirements. The sensitivity analysis also shows that the greater the load or the number of EVs, the lower the reliability of the charging station. With a certain capacity shortage, the right number of EVs can make the charging station more economical and reliable.

Sizing of a solar-wind hybrid electric vehicle charging station by using HOMER software

Although, fossil fuels are still the main source that used to balance the global demand/supply dynamics of energy; most countries have embarked on a quest to reach a solution and started changing their direction from fossil resources (especially oil and gas) to other resources by creating new opportunities with a focus meeting the increasing energy demand by reducing it via energy efficiency. “Transportation” is one of the biggest items of global energy consumption with 24% usage percentage and most of this amount is supplied by conventional energy resources. However, worldwide supporting policies and regulations are positively affected the starting period of environment-friendly use of energy resources. It expedited the process of new technological developments that minimize waste, lower the level of air pollution caused by fossil fuel-powered internal combustion engines, conserve forests and decrease the emissions of greenhouse gases. Worldwide extension of “Electric Vehicle Development and Production” is one of the main concern of these regulations. However, increasing the number of electric vehicles also brings sustainability problems such as; supplying the electricity from renewable resources in an efficient and sustainable way, handling the electricity load on the grid, and establishment of new charging stations. Therefore, in this study a wind solar hybrid energy charging station designed and optimized via HOMER software. The sizing methodology is suitable to apply anywhere around the worldwide. The optimal solution for the hybrid system consists of 44.4% wind energy and 55.6% solar energy and the annual electricity production is 843150 kWh with the 0.064 $/kWh production cost.

A Robust Optimization for Designing a Charging Station Based on Solar and Wind Energy for Electric Vehicles of a Smart Home in Small Villages

In recent years, integration of electric vehicles (EVs) has increased dramatically due to their lower carbon emissions and reduced fossil fuel dependency. However, charging EVs could have significant impacts on the electrical grid. One promising method for mitigating these impacts is the use of renewable energy systems. Renewable energy systems can also be useful for charging EVs where there is no local grid. This paper proposes a new strategy for designing a renewable energy charging station consisting of wind turbines, a photovoltaic system, and an energy storage system to avoid the use of diesel generators in remote communities. The objective function is considered to be the minimization of the total net present cost, including energy production, components setup, and financial viability. The proposed approach, using stochastic modeling, can also guarantee profitable operation of EVs and reasonable effects on renewable energy sizing, narrowing the gap between real-life daily operation patterns and the design stage. The proposed strategy should enhance the efficiency of conventional EV charging stations. The key point of this study is the efficient use of excess electricity. The infrastructure of the charging station is optimized and modeled.

Design of a photovoltaic–wind charging station for small electric Tuk–tuk in D.R.Congo

Renewable energy charging stations can play a key role in the successful development and deployment of electric vehicles in the areas not connected to the electrical grid. This paper discusses the possibilities of using electric Tuk–tuk battery charging station in the rural areas of the Democratic Republic of Congo (DRC); the basic specifications of the proposed vehicle propulsion system are taken into account. The proposed charging station is powered by renewable energy source such as wind or photovoltaic (PV) used as stand alone or in hybrid configuration with battery storage system to avoid the use of diesel generators or additional stresses on the very weak electrical grid, where it is available. Different feasible configurations of the charging station using renewable energies are simulated using HOMER software and the results compared to the corresponding diesel generator while responding to the battery charging energy requirements of the Tuk–tuk. Two different strategies for operating the charging station are simulated and the results are analyzed and discussed in order to select the best configuration. The decision criteria used for these comparisons include the equipment setup, energy production, financial viability for a project lifetime of 20 years.

Learning landing control of an indoor blimp robot for self-energy recharging

We report on learning landing control for the self-energy recharging of indoor blimp robots. Indoor blimp robots have potential applications in monitoring, surveillance, and entertainment. It might be necessary for blimp robots to fly for a long time to achieve these tasks. Since blimp robots cannot have a heavy battery, it is difficult to fly for long time. Therefore, we solved this problem by developing self-energy recharging control, i.e., docking to an energy charging station. We call it landing control. We introduce a way to learn landing control to tackle an unstable flying condition. The results of experiments show the effectiveness of the landing control.