New Online Detection Method of State of Charge of Car Batteries

2012 ◽  
Vol 253-255 ◽  
pp. 2130-2134 ◽  
Author(s):  
Li Bei ◽  
Zhang Di ◽  
Lu Lu Du
Keyword(s):  
Theoretical Analysis ◽  
Detection Method ◽  
Discharge Rate ◽  
The State ◽  
State Of Charge ◽  
Lead Acid Battery ◽  
Depth Of Discharge ◽  
Environment Temperature ◽  
The Relationship ◽  
Reliable Basis

By theoretical analysis and experiment, this article studied the rebound voltage of lead-acid battery when off-lined. By considering elements as discharge rate, depth of discharge, and environment temperature and so on, we experimented and found the relationship between the rebound voltage and the state of charge (SOC) of battery, which provided reliable basis to estimate the SOC of battery by rebound voltage.

SOC Estimation of Traction–Battery for Electric Vehicle Using Rebound Voltage

2013 ◽  
Vol 655-657 ◽  
pp. 68-73
Author(s):  
Bei Li ◽  
Lun Qiong Chen ◽  
Di Zhang
Keyword(s):  
Discharge Rate ◽  
State Of Charge ◽  
Online Testing ◽  
Lead Acid Battery ◽  
Soc Estimation ◽  
Real Time Measurement ◽  
Power Battery ◽  
Depth Of Discharge ◽  
Discharge Temperature ◽  
Temperature Environment

The thesis studied the monomer power battery, in order to overcome the difficulty in state of charge(SOC) online testing, the thesis put forward a new method to do SOC online estimation. By studying the rebound voltage caused by lead-acid battery when it is offline, with the consideration on elements as discharge rate, depth of discharge, temperature environment and so on, the thesis build a function relation between the rebound voltage and the SOC; with the adoption of 89S51 micro-controller in real-time measurement and calculation, we successfully estimated the SOC of intelligent traction–battery online.

Modeling for Lithium Iron Phosphate Battery and its Simulation in PSCAD

2013 ◽  
Vol 331 ◽  
pp. 250-253
Author(s):  
Lin Qi ◽  
Yong Qiang Zhu ◽  
Zhi Yu Wang ◽  
Chun Peng Fu
Keyword(s):  
Lithium Iron Phosphate ◽  
Iron Phosphate ◽  
State Of Charge ◽  
Nonlinear Characteristics ◽  
Battery Charging ◽  
Depth Of Discharge ◽  
Current Voltage ◽  
Simulation Results ◽  
The Relationship ◽  
Charge Discharge

This paper proposes an improved dynamic model of lithium iron phosphate battery, and shows the simulation results. The method takes into account the nonlinear characteristics of the battery charging and discharging, and changes the variation of battery resistance into that of voltage, which makes the simulation circuit simpler and easier to be implemented. Simulations examine the time-changing characteristics of the state of charge (SOC), depth of discharge and the current/voltage in the charge/discharge processes, as well as the relationship between voltage and SOC. The model has correctively shown the dynamic characteristics of lithium iron phosphate battery in our simulations.

scholarly journals Historical transformations of techniques for overcoming performance anxiety in the context of professional training of a modern vocalist

2020 ◽  
Vol 210 ◽  
pp. 18123
Author(s):  
Natalia Nikulina ◽  
Nataliya Buyanova ◽  
Olga Orekhova ◽  
Irina Rubcova ◽  
Diana Shnurova
Keyword(s):  
Theoretical Analysis ◽  
Professional Training ◽  
Performance Anxiety ◽  
The State ◽  
Musical Performance ◽  
Joint Work ◽  
Professional Activities ◽  
The Future ◽  
Professional Self ◽  
The Relationship

This paper studies the problem of overcoming performance anxiety, which, to one degree or another, every musician faces throughout his educational and professional activities. The success of his professional self-realization in the modern socio-cultural space will depend on what productive ways aimed at eliminating negative manifestations of performance anxiety as an integral part of musical performance and gaining organic stage freedom will be found by the future vocalist. The performing activity of a musician can be characterized as an extremely tense, responsible, complex, stressful process. The problem of the relationship between the personality of a musician and his ability to evoke a state of stage freedom during a performance is one of the most interesting topics for research, but at the same time, one of the most difficult to solve. A theoretical analysis of the literature on the problem considered in the paper, the study of the basic practical pedagogical principles of the development of the state of stage freedom in the professional training of a modern vocalist served as the basis for revealing the specifics of the interaction between a teacher and a student on the basis of joint work on the formation of professional and spiritual qualities of a modern vocalist. Based on the analysis of the historical practice of psychophysical trainings, in particular, some ancient Eastern practices; continuity and specificity of the methods, techniques and exercises of the Russian theater school, the paper identifies effective ways of forming the professional qualities of a vocalist's personality, in particular, stage freedom.

Optimal Power Management for Seismic Nodes

2021 ◽  
Vol 56 ◽  
pp. 162-181
Author(s):  
Dauda Duncan ◽  
Adamu Murtala Zungeru ◽  
Mmoloki Mangwala ◽  
Bakary Diarra ◽  
Joseph Chuma ◽  
...  
Keyword(s):  
Neural Network ◽  
Historical Data ◽  
The State ◽  
State Of Charge ◽  
Lead Acid Battery ◽  
Point Tracking ◽  
The Neural Network ◽  
Key Factor ◽  
Hidden Layer ◽  
Lead Acid

Estimating the state-of-charge of a lead-acid battery at remote seismic nodes is a key factor in managing the available power. Optimal management enables the continuous acquisition of seismic data of an area. This paper presents the management of lead-acid batteries at remote seismic nodes, using the Neural Network model's historical data to estimate the battery's state-of-charge. Powersim (PSIM) simulation tool was used to implement photovoltaic energy harvesting system with a buck mode converter and maximum power point tracking algorithm to acquire historical data. A backpropagation neural network technique for training the historical dataset of hourly points in 500 days on the Matlab platform is adopted, and a feedforward neural network is employed due to the irregularities of the input data. The neural network model's hidden layer contains the transfer function of the Tansig Function to produce the model output of state-of-charge estimations. Besides, this paper is based on the management of estimating the state-of-charge of the lead-acid battery near-realtime instead of relying on the vendor's lifecycle information. The simulated results show the simplicity and optimal estimations of state-of-charge of the lead-acid battery with RMSE of 0.023%.

scholarly journals Optical Method For Determining The State-Of-Charge Of A Lead-Acid Battery

1981 ◽  
Author(s):  
C. R. Derouin ◽  
R. E. Bobbett ◽  
J. B. McCormick ◽  
W. J. Kerwin
Keyword(s):  
Optical Method ◽  
The State ◽  
State Of Charge ◽  
Lead Acid Battery ◽  
Lead Acid
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