scholarly journals Design and first simulations of the TASEC-Lab power subsystem

2021 ◽  
Vol 2090 (1) ◽  
pp. 012111
Author(s):  
S. Marín-Coca ◽  
D. González-Bárcena ◽  
S. Pindado ◽  
E. Roibás-Millán
Keyword(s):  
Laboratory Tests ◽  
Electrical Power ◽  
Pressure Sensors ◽  
Convection Heat Transfer ◽  
Li Ion Battery ◽  
Li Ion ◽  
Temperature And Pressure ◽  
The Mathematical Model ◽  
Cup Anemometer ◽  
Consumption Profile

Abstract This paper describes the modelling and simulation of the Electrical Power Subsystem (EPS) of the Thermal Analysis Support and Environment Characterization Laboratory (TASEC-Lab). TASEC-Lab is a university experiment on board a sub-orbital platform. It is designed to measure the convection heat transfer in high-altitude balloon missions. The EPS provides, regulates, and distributes electric power to the different systems, parts, and sensors that compose the TASEC-Lab (e.g., On Board Computer (OBC), temperature and pressure sensors, cup anemometer, GPS, heaters... ). It mainly consists of a Li-ion battery and two DC-DC converters, and they have been characterized by conducting laboratory tests and fitting to experimental data. A real power consumption profile of the first TASEC-Lab’s mission (designed by Universidad Politecnica de Madrid) is used as input to simulate the EPS. The mathematical model is validated by comparison with experimental results.

scholarly journals Reliability Analysis of Different Cell Configurations of Lithium ion battery Pack

2019 ◽  
Vol 18 (2) ◽  
pp. 49-56
Author(s):  
Md. Nahian Al Subri Ivan ◽  
Sujit Devnath ◽  
Rethwan Faiz ◽  
Kazi Firoz Ahmed
Keyword(s):  
Mathematical Model ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
Battery Pack ◽  
Li Ion Battery ◽  
Series Configuration ◽  
Li Ion ◽  
Parallel Module ◽  
The Mathematical Model ◽  
Parallel Series

To infer and predict the reliability of the remaining useful life of a lithium-ion (Li-ion) battery is very significant in the sectors associated with power source proficiency. As an energy source of electric vehicles (EV), Li-ion battery is getting attention due to its lighter weight and capability of storing higher energy. Problems with the reliability arises while li-ion batteries of higher voltages are required. As in this case several li-ion cells areconnected in series and failure of one cell may cause the failure of the whole battery pack. In this paper, Firstly, the capacity degradation of li-ion cells after each cycle is observed and secondly with the help of MATLAB 2016 a mathematical model is developed using Weibull Probability Distribution and Exponential Distribution to find the reliability of different types of cell configurations of a non-redundant li-ion battery pack. The mathematical model shows that the parallel-series configuration of cells is more reliable than the series configuration of cells. The mathematical model also shows that if the discharge rate (C-rate) remains constant; there could be an optimum number for increasing the cells in the parallel module of a parallel-series onfiguration of cells of a non-redundant li-ion battery pack; after which only increasing the number of cells in parallel module doesn’t increase the reliability of the whole battery pack significantly. 

Low-cost flow-rate estimate in separate layers along gas wells from temperature and pressure profiles

2013 ◽  
Vol 53 (1) ◽  
pp. 285
Author(s):  
Emile Barrett ◽  
Imran Abbasy ◽  
Chii-Rong Wu ◽  
Zhenjiang You ◽  
Pavel Bedrikovetsky
Keyword(s):  
Thermal Conductivity ◽  
Mathematical Model ◽  
Flow Rate ◽  
Low Cost ◽  
Pressure Sensors ◽  
Gas Wells ◽  
Production Rates ◽  
Pressure Profiles ◽  
Temperature And Pressure ◽  
The Mathematical Model

Estimation of rate profile along the well is important information for reservoir characterisation since it allows distinction of the production rates from different layers. The temperature and pressure sensors in a well are small and inexpensive; while flow meters are cumbersome and expensive, and affect the flow in the well. The method presented in this peer-reviewed paper shows its significance in predicting the gas rate from temperature and pressure data. A mathematical model for pressure and temperature distributions along a gas well has been developed. Temperature and pressure profiles from nine well intervals in field A (Cooper Basin, Australia) have been matched with the mathematical model to determine the flow rates from different layers in the well. The presented model considers the variables as functions of thermal properties at each location, which is more accurate and robust than previous methods. The results of tuning the mathematical model to the field data show good agreement with the model prediction. Simple and robust explicit formulae are derived for the effective estimation of flow rate and thermal conductivity in gas wells. The proposed approach has been applied to determine the well gas rate and formation thermal conductivity from the acquired well pressure and temperature data in field A. It allows for recommending well stimulation of layers with low production rates.

scholarly journals Parametric analysis of Li-ion battery based on laboratory tests

2018 ◽  
Vol 44 ◽  
pp. 00074 ◽  
Author(s):  
Artur Kopczyński ◽  
Zhiyin Liu ◽  
Paweł Krawczyk
Keyword(s):  
Electromotive Force ◽  
Parametric Analysis ◽  
Laboratory Tests ◽  
Internal Resistance ◽  
Li Ion Battery ◽  
Influence Of Temperature ◽  
Linear Modelling ◽  
Influence Of Temperature On ◽  
Li Ion ◽  
Further Development

The study of Li-ion battery based on laboratory tests was presented and analysed taking into consideration various aspects. The tests with different charging and discharging currents were carried out. Moreover, some additional tests with the use of temperature chamber were applied. The results derived from laboratory tests allowed to obtain the characteristics of the electromotive force of two types of Li-ion cylindrical cell batteries. Subsequently, the influence of temperature on battery useful capacity was analysed. Therefore, the characteristics of internal resistance for studied batteries were determined based on obtained results and according to battery non-linear modelling [1, 2]. Finally, the possibilities for further development of the presented research have been considered.

Oxidized PAN nanofibrous membrane as a separator for Li-ion battery

2014 ◽  
Author(s):  
J.H. Lee ◽  
M.H. Kim ◽  
S.H. Lee ◽  
S.Y. Jin ◽  
W.H. Park
Keyword(s):  
Nanofibrous Membrane ◽  
Li Ion Battery ◽  
Li Ion

A NOVEL CLOSED LOOP PROCESS FOR RECYCLING SPENT Li-ION BATTERY CATHODE MATERIALS

2021 ◽  
pp. 1-16
Author(s):  
Joey Chung-Yen Jung ◽  
Norman Chow ◽  
Anca Nacu ◽  
Mariam Melashvili ◽  
Alex Cao ◽  
...  
Keyword(s):  
Cathode Materials ◽  
Closed Loop ◽  
Li Ion Battery ◽  
Li Ion

Carbon-coated TiNb2O7 nanosheet arrays as self-supported high mass-loading anode for flexible Li-ion battery

2021 ◽  
Author(s):  
Jinquan Zhou ◽  
Haoyang Dong ◽  
Yao Chen ◽  
yihua Ye ◽  
Liang Xiao ◽  
...  
Keyword(s):  
Diffusion Length ◽  
High Mass ◽  
Carbon Cloth ◽  
Mass Loading ◽  
Solvothermal Process ◽  
Li Ion Battery ◽  
Nanosheet Arrays ◽  
Carbon Coated ◽  
Li Ion ◽  
First Time

TiNb2O7 anode constructed with carbon-coated nanosheet arrays on carbon cloth is prepared by a facile solvothermal process and post carbon-coating for the first time. With nanosized diffusion-length and reduced polarization...

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