Evaluation of Aircraft Battery Charge, Discharge, and Analyzation Requirements for Ground Support Equipment.

1984 ◽  
Author(s):  
T. E. O'Haver
Keyword(s):  
Battery Charge ◽  
Ground Support ◽  
Charge Discharge

Preparation and Electrochemical Performances of Calcium Zincate Synthesized by Microwave Method

2011 ◽  
Vol 236-238 ◽  
pp. 868-871 ◽  
Author(s):  
Meng Liang Tong ◽  
Xuan Yan Liu
Keyword(s):  
Cyclic Voltammetry ◽  
Active Material ◽  
Electrochemical Performances ◽  
Microwave Method ◽  
X Ray ◽  
Battery Charge ◽  
Secondary Battery ◽  
Initial Capacity ◽  
Charge Discharge ◽  
Discharge Test

Calcium zincate as an active material in Zn/Ni secondary battery has been successfully synthesized by microwave method. The chemical composition of Ca(OH)2·2Zn(OH)2·2H2O was confirmed by X-ray powder diffraction pattern and weight loss in thermogravimetric analysis.The results of cyclic voltammetry and experimental Zn/Ni battery charge–discharge test showed that the material of calcium zincate had excellent electrochemical performances: a high discharging platform of 1.685 V and a good cycleability, discharge capacity would be 70.0% of initial capacity after circulated 120 times.

scholarly journals Power system operation with battery charge/discharge scheduling based on interval analysis

2016 ◽  
Vol 6 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Taisuke Masuta ◽  
Yoshihiro Tagawa ◽  
Masakazu Koike ◽  
Takayuki Ishizaki ◽  
Jun-ichi Imura ◽  
...  
Keyword(s):  
Power System ◽  
Interval Analysis ◽  
System Operation ◽  
Power System Operation ◽  
Battery Charge ◽  
Charge Discharge

scholarly journals Design of offset adjusting circuit for voltage balance of battery charge/discharge

2019 ◽  
Vol 43 (10) ◽  
pp. 816-821
Author(s):  
Tae-Hyun Song ◽  
Hyun-Suk Yang ◽  
Jin-Woo Han ◽  
Sung-geun Lee
Keyword(s):  
Battery Charge ◽  
Voltage Balance ◽  
Charge Discharge

Analyzing the Strategies for Controlling a Hybrid Energy Complex Based on Renewable Energy Source

Vestnik MEI ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. 67-78
Author(s):  
Aleksey A. Miroshnichenko ◽  
◽  
Evgeniy V. Solomin ◽  
Evgeniy M. Gordievsky ◽  
Askar Z. Kulganatov ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Control Strategy ◽  
Power Supply ◽  
Alternative Energy ◽  
Energy Generation ◽  
Energy System ◽  
Energy Sources ◽  
Hybrid Energy ◽  
Battery Charge ◽  
Charge Discharge

One of the priority objectives faced by the Russian electric power industry is supplying power to decentralized areas. These areas include the regions of the Far North and the Far East, which are characterized by remoteness from the unified energy system, low population density in vast territories, weak transport links, and undeveloped industry. In view of these features, it can be concluded that it is economically unprofitable to connect such consumers to the unified energy system. The use of renewable energy sources is the most promising solution to this problem. This, in particular, was noted by the President of Russia V.V. Putin during the “Russian Energy Week”: ‘Wind power, of course holds promise as a method for solving the problem of supplying electricity to the population, but it would be more correct to talk about the integrated use of alternative energy sources....’ Recently, the idea of using hybrid energy generation systems has become a priority issue in considering the electrification of isolated regions. Calculations have shown that such systems are more reliable and economically profitable in comparison with the generation of energy from only one of the sources. The use of combined energy generation systems is dictated by several factors, the main of which is that individual sources of renewable energy are variable in nature, which entails difficulties in ensuring uninterrupted power supply. Such problems do not arise in the case of using hybrid systems. The possibility of using a load distribution control strategy for a hybrid system consisting of photovoltaic panels, a diesel generator, and storage batteries, and operating according to a specified load schedule with the known battery charge/discharge cycles is considered. It is pointed out that the HOMER software package is a suitable tool for carrying out an optimization analysis regarding the technical, economic, and environmental factors of the proposed systems, taking into account the load variation pattern, battery charge/discharge cycles and distributed load. By using this software, it is possible to select the most optimal control strategy for combined power supply systems that allows, along with improving their reliability, better efficiency and longer service life to be obtained.

Research on distributed battery charge-discharge management in electric vehicle

2009 ◽  
Vol 2009 (6) ◽  
pp. 68-73 ◽  
Author(s):  
Haihong Huang ◽  
Haixin Wang ◽  
Xiang Zhuang ◽  
Lili Wu
Keyword(s):  
Electric Vehicle ◽  
Battery Charge ◽  
Discharge Management ◽  
Charge Discharge

Battery Health Diagnostics Using Retrospective-Cost Subsystem Identification: Sensitivity to Noise and Initialization Errors

2013 ◽  
Author(s):  
Xin Zhou ◽  
Tulga Ersal ◽  
Jeffrey L. Stein ◽  
Dennis S. Bernstein
Keyword(s):  
Solid Electrolyte ◽  
Film Growth ◽  
Measurement Noise ◽  
Solid Electrolyte Interface ◽  
Battery Charge ◽  
Electrolyte Interface ◽  
Voltage Change ◽  
Discharge Model ◽  
Health Model ◽  
Charge Discharge

Health management of Li-ion batteries requires knowledge of certain battery internal dynamics (e.g., lithium consumption and film growth at the solid-electrolyte interface) whose inputs and outputs are not directly measurable with noninvasive methods. Therefore, identification of those dynamics can be classified as an inaccessible subsystem identification problem. To address this problem, the retrospective-cost subsystem identification (RCSI) method is adopted in this paper. Specifically, a simulation-based study is presented that represents the battery using an electrochemistry-based battery charge/discharge model of Doyle, Fuller, and Newman augmented with a battery-health model by Ramadass. The solid electrolyte interface (SEI) film growth portion of the battery-health model is defined as the inaccessible subsystem to be identified using RCSI. First, it is verified that RCSI with a first-order subsystem structure can accurately estimate the film growth when noise or modeling errors are ignored. Parameter convergence issues are highlighted. Second, allowable input and output noise levels for desirable film growth tracking performance are determined by studying the relationship between voltage change and film growth in the truth model. The performance of RCSI with measurement noise is illustrated. The results show that RCSI can identify the film growth within 1.5% when the output measurement noise level is comparable to the change in output voltage between successive cycles due to film growth, or when the input measurement noise is comparable to the difference in current that results in a difference in voltage that is the same as the voltage change between successive cycles. Finally, the sensitivity of the performance of RSCI to initial condition errors in the battery charge/discharge model is investigated. The results show that when the initial conditions have an error of 1%, the identified results change by 7%. These results will help with selecting the appropriate sensors for the experiments with the hardware.

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