AUSTENIT
Vol. 15 No. 1 (2023): AUSTENIT: April 2023

OPTIMIZED CONTROL OF THE PHYSICAL BATTERY SYSTEM

Van De, Pham (Unknown)



Article Info

Publish Date
05 May 2023

Abstract

Today, a significant issue for many nations worldwide is a shortage of energy. Renewable energy sources, particularly solar energy, are being investigated as additional energy sources to address the aforementioned issue. The high investment cost and poor performance of solar energy, however, provide the biggest challenge. This study only addresses the power optimization problem. It is suggested that the method used to determine the solar system's maximum power point modify incremental conductance. Adapted Incremental Conductance algorithm based on Incremental Conductance conventional techniques. The Modified Incremental Conductance method, however, has several exceptional advantages since it has a voltage change (V) that is not constant but fluctuates in an ideal manner to achieve the maximum power point as soon as possible. The voltage V is greater away from the peak power point while it is zero at the peak power point. Modified incremental conductivity algorithm to find peak power point faster than traditional algorithms. With maximum power point change reducing ambient power loss at the highest powers point. This helps to optimize voltage difference value.

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Journal Info

Abbrev

austenit

Publisher

Subject

Automotive Engineering Control & Systems Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Description

AUSTENIT (pISSN 2085-1286 and eISSN 2622-7649) is a peer-reviewed open access journal published by Mechanical Engineering Department, Politeknik Negeri Sriwijaya. Focused on original articles in the form of technical and vocational research results or literature review which provides insight in the ...