Prediction and optimization model of activated carbon double layer capacitors based on improved heuristic approach genetic algorithm neural network

2018 ◽  
Vol 35 (4) ◽  
pp. 1625-1638 ◽  
Author(s):  
Zhen Yang ◽  
Yun Lin ◽  
Xingsheng Gu ◽  
Xiaoyi Liang

PurposeThe purpose of this paper is to study the electrochemical properties of electrode material on activated carbon double layer capacitors. It also tries to develop a prediction model to evaluate pore size value.Design/methodology/approachBack-propagation neural network (BPNN) prediction model is used to evaluate pore size value. Also, an improved heuristic approach genetic algorithm (HAGA) is used to search for the optimal relationship between process parameters and electrochemical properties.FindingsA three-layer ANN is found to be optimum with the architecture of three and six neurons in the first and second hidden layer and one neuron in output layer. The simulation results show that the optimized design model based on HAGA can get the suitable process parameters.Originality/valueHAGA BPNN is proved to be a practical and efficient way for acquiring information and providing optimal parameters about the activated carbon double layer capacitor electrode material.

2010 ◽  
Vol 4 (1) ◽  
pp. 117-124 ◽  
Author(s):  
H. Aripin ◽  
L. Lestari ◽  
D. Ismail ◽  
S. Sabchevski

In this feasibility study a novel prospective electrode material for electric double layer capacitors (EDLC) has been investigated. This promising material is activated carbon (AC) film produced using sago waste as a precursor. Important parameters of the technological process are the KOH to charcoal ratio and the content of the polytetrafluoroethylene (PTFE) binder. The influence of these parameters on the microtexture and pore structure and on the electrochemical characteristics of the AC films has been studied in detail. The measured specific surface area (SSA) of the samples is in the range from 212 to 1498 m2/g. It has been found that the presence of micropores increases the specific capacity while the presence of the mesopores acts in the opposite direction, because these mesopores are too wide in diameter for aqueous electrolyte. The specific capacitance of the studied samples has been found to be in the range from 16 to 64 F/g.


2018 ◽  
Vol 7 (4.5) ◽  
pp. 313 ◽  
Author(s):  
Samata Parulekar ◽  
Shahbaz Sholapure R ◽  
M. Holmukhe ◽  
P. B. Karandikar

Because of increasing demand there is a need for energy storage.Supercapacitor the new age energy storage device which can provide quick burst of energy. The study focuses on use of Polyvinylidene fluoride as the binder material in making of electrodes for supercapacitors. Polyvinylidene fluoride (PVDF) is a highly non-reactive thermoplastic fluoropolymer produced by the polymerization of vinylidene difluoride. It is a strong piezoelectric element. Piezoelectric effect is useful for generation of high voltages. Binder materials are responsible for holding the active material particles within the electrode. The study was focused on use of PVDF in Electric Double Layer Capacitors (EDLC) and Pseudo capacitors. In case of Electric Double Layer Capacitors the PVDF is used as binder material with activated carbon as electrode material. In case of Pseudo capacitor the PVDF is used as a binder material with activated carbon and metal oxide as electrode material. Research was performed with preparation of electrodes using 6 types of Activated carbons namely Vulcun XC 72, Pica, RP20, C60, NORIT and Graphene for different compositions. The test was conducted on single electrode and it was initially charged at a voltage of 2.2V and its discharge was recorded for a time period of 3 minutes. The research focuses on the material which is giving the best results in regarding to the key parameters of supercapacitors and also concentrates on the composition of Polyvinylidene fluoride (PVDF) which gives the highest value of capacitance with the lowest value of Equivalent series resistance in making electrodes for supercapacitors.  


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