Relevant bibliographies by topics / CHARGING AND DISCHARGING TIME

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Academic literature on the topic 'CHARGING AND DISCHARGING TIME'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "CHARGING AND DISCHARGING TIME"

1

Gao, Song, Linyu Wang, Lei Guo, Zhifeng Qiu, and Yueshuang Bao. "A two-layer model to dispatch electric vehicles and wind power." MATEC Web of Conferences 309 (2020): 05015. http://dx.doi.org/10.1051/matecconf/202030905015.

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In this paper, the optimal charging and discharging schedules of electric vehicle (EV) are studied considering wind power under the condition of distribution network. In view of the uncertainty of EV charging-discharging demand and wind power output, the Markov decision process is adopted to model the randomness of supply and demand. Considering the dimensional disaster caused by dispatching a large number of EVs’ charging and discharging behavior in a centralized way, this paper proposes the two-layer dispatching model based on Markov decision process. First, the lower EV agents are responsible for collecting the real-time charging-discharging demands for EV and report to the upper dispatching center. Then the upper dispatching center gives the optimal charging and discharging power according to the real-time distribution operating status, wind power output and the EV information reported by each EV agent. Last, the lower agent gives the optimal charging-discharging sequence of each EV according to the upper optimal power. The goal of the upper dispatching center considers the power losses in the distribution network, load variance and the matching degree between EV charging-discharging and wind power output. The goal of the lower EV agent considers the EV charging-discharging fees and costs by EV battery losses. When deciding the optimal charging strategy, we design the two-layer Rollout algorithm to decide the optimal charging-discharging strategy considering the impact on future strategy decisions by current strategy decisions. Finally, the optimal results under four different strategies are simulated on the IEEE 30-bus distribution network system. The simulation results show that the proposed model and strategy can effectively reduce the distribution network losses and load variance, and greatly improve the utilization rate of wind power. Compared to the cost of uncoordinated EV charging, EV charging-discharging fees and battery loss costs by the proposed strategy have been greatly reduced.
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2

Wang, Ying, Gang Ma, Yixi Chen, Jian Zhang, and Jiashu Wang. "Multi-objective Charging and Discharging Optimization of Electric Vehicles in Time-divided period Based on SOC Evolution." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 4 (2020): 595–601. http://dx.doi.org/10.2174/2352096512666190911144557.

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Background: With the increase of Electric Vehicle (EV), their disordered charging behaviour will put great pressure on the stable operation of the distribution network. Methods: In order to study the charging and discharging optimization scheme of EVs, firstly the EV charging and discharging load model is founded based on the Vehicle-to-Grid (V2G) technology. Results: According to the electricity price mechanism of Shanxi Province, the paper proposes a multi-target charging and discharging optimization for EVs based on the evolution of EV State of Charge (SOC) using the Modified Particle Swarm Optimization (MPSO). Conclusion: Compared with the disordered charging mode, the method proposed in this paper can simultaneously reduce the network loss of the distribution network and the cost of EV users.
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3

Hou, Xiao Fan, and Hong Bin Wu. "Space-Time Modeling of Plug-In Electric Vehicles." Advanced Materials Research 860-863 (December 2013): 1065–68. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.1065.

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With the shortage of fossil energy and the worrying about environmental problems, renewable energy and electric-vehicle get rapid development. Against this background, an overview of power characteristic of electric vehicles is presented. Monte Carlo method is used to simulate the charging and discharging behavior of electric-vehicles, and the load curve of EVs of different scale is presented. It analyses the charging load characteristic in the uncoordinated charging mode and the discharging capacity curve in the vehicle-to-grid (V2G) mode in this paper. Under the software package of Visual C++ 6.0, it verifies the availability and feasibility through comparison and analysis, which lays a foundation for the large-scale development of electric vehicles.
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4

Myat, Lwin Phone, Muhammad Shakeel Ahmad, Indra Neel Pulidindi, et al. "Effect of Polyethylene Glycol and Activated Carbon Macroparticles on Thermal Conductivity of Paraffin Wax for Thermal Storage Applications." Polymers 14, no. 19 (2022): 4181. http://dx.doi.org/10.3390/polym14194181.

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Low thermal conductivity is the major obstacle for the wide range utilization of phase change materials (PCMs), especially organic PCMs, for most practical applications in thermal engineering. This study investigates the potential of enhancing the charging and discharging rates of organic PCM (RT44HC) by introducing polyethylene glycol (PEG) and activated carbon macroparticles (ACMPs). Different concentrations of PEG and ACMPs ranging from 0.3 wt% to 2 wt% were tested separately. The optimized concentrations found were used as dual reinforcements to attain the highest possible thermal conductivity. The specimens were tested for a complete charging–discharging cycle using an improvised thermal apparatus. Use of ACMP alone resulted in a minimal reduction in complete charging–discharging time due to the settlement of ACMPs at the bottom after 2–3 heating–cooling cycles. However, the addition of PEG with ACMPs exhibited a reduction in charging–discharging time due to the formation of a stable dispersion. PEG served as a stabilizing agent for ACMPs. The lowest charging–discharging time of 180 min was exhibited by specimens containing 1 wt% PEG and 0.5 wt% ACMPs which is 25% lower compared to bare PCM.
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5

Shi, Weijie, Qingrong Liu, Yingjun Ruan, Fanyue Qian, and Hua Meng. "Quantification and economic analysis of virtual energy storage caused by thermal inertia in buildings." Journal of Physics: Conference Series 2474, no. 1 (2023): 012002. http://dx.doi.org/10.1088/1742-6596/2474/1/012002.

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Abstract The virtual energy storage caused by the thermal inertia of the building is the property and can participate in the demand response. However, the quantification of this virtual energy storage part is not clear. To determine the energy flexibility potential of building virtual energy storage, quantitative indicators such as charging and discharging time, and charging and discharging energy are proposed. The building model was created using the building energy simulation software EnergyPlus, and the quantification of each performance indicator of the building’s virtual energy storage was developed. Among them, the optimal charging time for this building model is 30 minutes, and the optimal discharging time is 60 minutes. Under the optimal virtual energy storage operation strategy, the charging energy is 57 kWh and the discharging energy is 84 kWh. Compared with the reference strategy, the building virtual energy storage operation strategy saves 48.76 yuan in single-day cooling electricity cost, with a 3% savings rate. The results show that building virtual energy storage has certain energy flexibility without additional investment and can generate certain economic benefits at the same time.
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6

Zainurin, N. A., S. A. B. Anas, and R. S. S. Singh. "A Review of Battery Charging - Discharging Management Controller: A Proposed Conceptual Battery Storage Charging – Discharging Centralized Controller." Engineering, Technology & Applied Science Research 11, no. 4 (2021): 7515–21. http://dx.doi.org/10.48084/etasr.4217.

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This paper describes the development of a centralized controller to charge or discharge the battery storages that are connected to renewable energy sources. The centralized controller is able to assist, control, and manage the battery storage charging when excessive power is available from renewable energy sources. At the same time, the centralized controller also performs battery storage discharging when the connected load requires a power source, especially when the renewable energy sources are unavailable. Background studies regarding battery storage charging-discharging are presented in the introduction section. Also, generally developed charging-discharging methods or techniques were applied at the system level and not specifically to the battery storage system level. Due to the limited study on battery storage system charging-discharging, this paper reviews some of the similar studies in order to understand the battery storage charging–discharging characteristics as well as to propose a new conceptual methodology for the proposed centralized controller. The battery storage State-of-Charge (SoC) is used as the criterion to develop the conceptual centralized controller, which is also used as a switching characteristic between charging or discharging when only the battery energy storages are supplying the output power to the connected load. Therefore, this paper mainly focuses on the conceptual methodology as well as explaining the functionality and operationality of the proposed centralized controller. A summarized comparison based on the studied charging–discharging systems with the proposed centralized controller is presented to indicate the validity of the proposed centralized controller.
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7

Yu, Zicong, Ping Gong, Zhi Wang, Yongqiang Zhu, Ruihua Xia, and Yuan Tian. "Real-Time Control Strategy for Aggregated Electric Vehicles to Smooth the Fluctuation of Wind-Power Output." Energies 13, no. 3 (2020): 757. http://dx.doi.org/10.3390/en13030757.

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Electric vehicles (EVs) are flexible demand-side response resources in a power distribution system. Reasonable and orderly control of charging/discharging processes of aggregated EVs can improve their coordination and interaction with the distribution system and ensure its efficient and stable operation. Aiming at the problem that the fluctuation of wind power output may affect the stable operation of distribution system, a real-time control strategy for aggregated EVs to smooth the fluctuation of wind power is proposed. Firstly, considering the dispatchability of EVs, the charging/discharging energy boundary model is established to determine the charging/discharging margin of an EV at each moment. Then, first-order low-pass filtering is used to determine the total dispatching power of aggregated EVs. Finally, the total charging power of aggregated EVs is determined and power allocation is carried out. Simulation results show that the proposed strategy can achieve real-time smoothing for the fluctuation of wind power output while meeting the charging requirements of EVs, and the proposed strategy can not only reduce the fluctuation rate of total load, but also realize peak shaving and valley filling for the distribution system.
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8

Zhang, Shuting, Fuqiang Tian, Jieyi Liang, Jinmei Cao, and Zhaoliang Xing. "The Time, Electric Field, and Temperature Dependence of Charging and Discharging Currents in Polypropylene Films." Polymers 15, no. 14 (2023): 3123. http://dx.doi.org/10.3390/polym15143123.

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The insulating properties of polypropylene (PP) film play a very important role in the operating status of direct current (DC) support capacitors. Charging and discharging currents in PP film under high DC electric fields and temperatures correspond to charge transportation and accumulation, which significantly influence the electrical insulating properties of PP. In this paper, we have comprehensively studied the dependence of charging/discharging currents in PP film on time, electric field (150–670 kV/mm), and temperature (40–120 °C). The results showed that the charging current increased by almost an order of magnitude from 150 kV/mm to 670 kV/mm and exhibits a steep increase with temperature above 80 °C. The discharging currents are about 10 times less than the corresponding charging currents. Carrier mobility varies little with the electric field and becomes slightly larger with an increase in temperature. The quantity of the accumulated charges was calculated by the integral of the charging and discharging current differentials and showed a significant increase with the electric field and temperature. The corresponding electric field distortion becomes larger above 80 °C compared to 20–60 °C. Both electric field and temperature have an important effect on PP film and capacitors based on charge transport and accumulation and their electric field distortion. This study is innovative in that it combines the operating status of DC support capacitors with traditional methods to research synthetically charged transport mechanisms of PP film. The findings are meaningful for understanding the insulation failure mechanisms of PP film and capacitors under complex stresses.
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9

Yan, Tao, Zhan Zhan Qu, Peng Fei Jia, Dong Hui, and Yun Jia Liu. "Establishment and Research of Semi-Physical and Real-Time Simulation Platform for V2G Electric Vehicle Charging System." Advanced Materials Research 1070-1072 (December 2014): 1625–31. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1625.

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Through constructing the battery system of electric vehicle, real-time simulation model of V2G charging converter topology, and combined with material object of hardware and software of V2G charger controller, establishing semi-physical simulation platform for V2G electric vehicle charging system based on RT-LAB real-time systems, which making use of real-time simulation platform to research the control mechanism of charger controller. The experimental results show that: the constructed semi-physical simulation platform is running well, its simulation results of charging and discharging process is relatively consistent with the actual output of V2G charging equipment, it can be used to verify the developed adjustment mechanism of V2G charger and the charging and discharging process of a variety of electric vehicle battery system, provides an ideal semi-physical simulation platform for the verification of the control strategy of electric vehicle V2G charger.
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10

Wang, Xuan Ze, Xu Qing Mo, Liang En Yang, Zhong Sheng Zhai, Wen Chao Liu, and Zhi Xiong. "A Kind of Resistance Capacitance Measurement Method Based on Time Constant." Advanced Materials Research 1037 (October 2014): 156–60. http://dx.doi.org/10.4028/www.scientific.net/amr.1037.156.

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This paper proposes a capacitance resistance measurement method based on time constant. Using the charging and discharging characteristics of the resistance and capacitance measures the value of the resistance and capacitance through a semi potential rise and fall time measurement. Theoretical analysis of the relationship between the value of the resistance and capacitance and the measuring time, designing the fast second charging and discharging method meeting the initial condition of charge and discharge, improving the measurement speed, expanding the measurement range of the resistance and capacitance. Realizing the effective measurement of the resistance and capacitance by the FPGA control logic and timing method.
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