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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v8i4.7938</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Cell Screening Algorithm Integrating Genetic and Numerical Differentiation</title><url>https://artdesignp.com/journal/JERA/8/4/10.26689/jera.v8i4.7938</url><author>WuZhen,FuFeijing,TenawerkYirga Eyasu,QuanWeize,WuWanwen</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>4</issue><history><date date-type="pub"><published-time>2024-08-13</published-time></date></history><abstract>The consistency of the cell has a significant impact on battery capacity, endurance, overall performance, safety, and service life extension. However, it is challenging to identify cells with high consistency and no loss of battery energy. This paper presents a cell screening algorithm that integrates genetic and numerical differentiation techniques. Initially, a mathematical model for battery consistency is established, and a multi-step charging strategy is proposed to satisfy the demands of fast charging technology. Subsequently, the genetic algorithm simulates biological evolution to efficiently search for superior cell combinations within a short time while evaluating capacity, voltage consistency, and charge/discharge efficiency. 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