A Hybrid System and Method for Estimating State of Charge of a Battery

2021 ◽  
Vol 14 (3) ◽  
Author(s):  
Debango Chakraborty ◽  
Mahesh Ghivari ◽  
Makarand Datar ◽  
Aditya Gogate
Keyword(s):  
Hybrid System ◽  
State Of Charge

scholarly journals Optimal Energy Control of Battery Hybrid System for Marine Vessels by Applying Neural Network Based on Equivalent Consumption Minimization Strategy

2021 ◽  
Vol 9 (11) ◽  
pp. 1228
Author(s):  
Seongwan Kim ◽  
Jongsu Kim
Keyword(s):  
Neural Network ◽  
Hybrid System ◽  
Control Method ◽  
The State ◽  
State Of Charge ◽  
Energy Control ◽  
Optimal Energy ◽  
The Neural Network ◽  
Equivalent Consumption Minimization Strategy ◽  
Hidden Layer

This paper introduces an optimal energy control method whose rule-based control employs the equivalent consumption minimization strategy as the design standard to support a neural network technique. Using the proposed control method, the output command values for each power source based on the load of the ship and the state of charge of the battery satisfy the target of energy optimization. Based on the rules, the load of the ship and the state of charge of the battery were the input in the neural network, and the outputs of two generators were recorded as the output values of the neural network. To optimize the weights of the neural network and reduce the error between the predicted values and results, the Bayesian regularization method was employed, and a single hidden layer with 20 nodes, 2 input layers, and 2 output layers were considered. For the hidden layer, the tansigmoid function was applied, and for the activation functions of the output layers, linear functions were adopted considering the correlation between the input and output data used for training the neural network. The propulsion motor was fitted with a speed controller to ensure a stable speed, and a torque load was applied on the propulsion motor. To verify the accuracy of the neural network learning, a generator–battery hybrid system simulation was conducted using MATLAB Simulink, and the neural network learned values were compared with the generator output command values obtained based on the load of the ship and the battery state of charge. Additionally, it was confirmed that the generator command values were consistent with the neural network learned values, and the stability of the system was maintained by controlling the speed, voltage, and current control of the propulsion motor under various loads of the ship and different battery charge statuses.

scholarly journals Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3434
Author(s):  
Md Ohirul Qays ◽  
Yonis Buswig ◽  
Md Liton Hossain ◽  
Ahmed Abu-Siada
Keyword(s):  
Hybrid System ◽  
Storage System ◽  
Activation Function ◽  
Integrated System ◽  
State Of Charge ◽  
Maintenance Cost ◽  
Battery Management System ◽  
Battery Management ◽  
Charge Condition ◽  
Soc Estimation

Charging a group of series-connected batteries of a PV-battery hybrid system exhibits an imbalance issue. Such imbalance has severe consequences on the battery activation function and the maintenance cost of the entire system. Therefore, this paper proposes an active battery balancing technique for a PV-battery integrated system to improve its performance and lifespan. Battery state of charge (SOC) estimation based on the backpropagation neural network (BPNN) technique is utilized to check the charge condition of the storage system. The developed battery management system (BMS) receives the SOC estimation of the individual batteries and issues control signal to the DC/DC Buck-boost converter to balance the charge status of the connected group of batteries. Simulation and experimental results using MATLAB-ATMega2560 interfacing system reveal the effectiveness of the proposed approach.

Implementation of Monitoring Program of PC and Android Device for the Hybrid System Conjugated with Solar Cell and Fuel Cell of 9kW Class

2014 ◽  
Vol 556-562 ◽  
pp. 1627-1630
Author(s):  
Won Jae Ryu ◽  
Sang Hoon Lee ◽  
Ki Young Kim ◽  
Toha Ardi Nugraha ◽  
Soo Young Shin ◽  
...  
Keyword(s):  
Solar Cell ◽  
Fuel Cell ◽  
Hybrid System ◽  
Monitoring Program ◽  
The State ◽  
State Of Charge

This paper presents about the implementation of monitoring program on PC and Android devices for the hybrid system conjugated with solar cell and fuel cell of 9kW class. In this paper, we show the information how to develop the system and monitoring program. The state of charge and information of cells must be monitored. For getting the result, the information of cells is simulated by LM3S9D96 and for the data is transmitted by using CAN communication. After that, the transmitted data is monitored by the programs of PC and Android.

Kryothermie-Hybrid-System mit intern gasgekühltem Applikator zur Radiofrequenzablation

2007 ◽  
Vol 179 (S 1) ◽  
Author(s):  
H Rempp ◽  
S Clasen ◽  
M Voigtländer ◽  
S Kempf ◽  
A Weihusen ◽  
...  
Keyword(s):  
Hybrid System

Control of odor using an electrostatic precipitator andadsorption hybrid system in unregulated facilities

2014 ◽  
Vol 13 (2) ◽  
pp. 113-123 ◽  
Author(s):  
Hak-Song Jeon ◽  
◽  
Jong-Min Kim ◽  
Kwang-Han Bae ◽  
Tae-Oh Kim
Keyword(s):  
Hybrid System ◽  
Electrostatic Precipitator

“Collective Redress” in European Competition Law

2016 ◽  
Vol 14 (4) ◽  
pp. 388-414
Author(s):  
Alexandra P. Mikroulea
Keyword(s):  
Hybrid System ◽  
Competition Law ◽  
Mixed System ◽  
Basic Question ◽  
Effective Implementation ◽  
The United Kingdom ◽  
Collective Redress ◽  
Opt Out ◽  
Private Autonomy ◽  
European Competition Law

AbstractOpt-in or opt-out? That is the basic question to be answered. The decision to promote actions of “opt-in” type as opposed to those of the “opt-out” type, for the sake of private autonomy, does not ensure the effective application of european competition law. On the contrary, it may decrease the application’s intensity and effectiveness. Recent reforms among European state members such as in the United Kingdom, Belgium, the Netherlands, Denmark and Norway are powerful indications that the opt-out principle may result in the effective implementation of competition law. There is no doubt that a mixed system (hybrid system), providing the court with the power to decide in favour of either the opt-in or the opt-out system, will result in better implementation of competition law. At the present time there are two pending cases in England (Dorothy Gibson and Mastercard) for which the decision on opt-out or opt-in are highly anticipated. Should the court decide, in one or both of the cases, on an opt-out approach, this will bring a momentous reevaluation of the entire collective redress concept.

Sensorless Fuzzy MPPT Technique of Solar PV and DFIG Based Wind Hybrid System

2017 ◽  
Vol 10 (3) ◽  
pp. 152
Author(s):  
Marouane El Azzaoui ◽  
Hassane Mahmoudi ◽  
Karima Boudaraia
Keyword(s):  
Hybrid System ◽  
Solar Pv
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