scholarly journals Modeling and simulation performance of photovoltaic system integration battery and supercapacitor paralellization of MPPT prototipe for solar vehicle

2017 ◽  
Author(s):  
Dwi Ajiatmo ◽  
Imam Robandi
2011 ◽  
Vol 88-89 ◽  
pp. 244-249 ◽  
Author(s):  
Shou Jiang Cai ◽  
Pei Liang Wang ◽  
Zhi Duan Cai ◽  
Jian Hua Mao

Intermittent scan tracking (IST) is a maximum power point tracking (MPPT) method of photovoltaic system. The scanning approach of this method generally is order scanning. But this scanning mode has the weaknesses of the huge storage space and excessive amount of calculation. To eliminate these defects, this paper proposes a new scanning mode, i.e. nested scanning. To verify the effectiveness of the proposed method, a simulation system was modeled based on Matlab/Simulink. In the experiment two scanning modes above were compared and the simulation results proved that, on the premise that the accuracy of results is guaranteed, nested scanning mode can effectively decrease the quantity of required scanning voltages and currents, reduce the amount of calculation and improve the scanning efficiency.


2019 ◽  
Vol 16 (6) ◽  
pp. 450-467
Author(s):  
S. N. Nnamchi ◽  
M. M. Mundu ◽  
J. D. Busingye ◽  
J. U. Ezenwankwo

Author(s):  
TOMMI KARHELA ◽  
ANTTI VILLBERG ◽  
HANNU NIEMISTÖ

The benefits of the use of modeling and simulation in engineering are acknowledged widely. It has proven its advantages e.g., in virtual prototyping i.e., simulation aided design and testing as well as in training and R&D. It is recognized to be a tool for modern decision making. However, there are still reasons that slow down the wider utilization of modeling and simulation in companies. Modeling and simulation tools are separate and are not an integrated part of the other engineering information management in the company networks. They do not integrate well enough into the used CAD, PLM/PDM and control systems. The co-use of the simulation tools themselves is poor and the whole modeling process is considered often to be too laborious. In this article we introduce an integration solution for modeling and simulation based on the semantic data modeling approach. Semantic data modeling and ontology mapping techniques have been used in database system integration, but the novelty of this work is in utilizing these techniques in the domain of modeling and simulation. The benefits and drawbacks of the chosen approach are discussed. Furthermore, we describe real industrial project cases where this new approach has been applied.


2017 ◽  
Vol 4 (8) ◽  
pp. 7228-7233 ◽  
Author(s):  
Amit Jomde ◽  
Virendra Bhojwani ◽  
Shreyans Kedia ◽  
Nitish Jangale ◽  
Kshitij Kolas ◽  
...  

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