首页|Studies from Ain Shams University Add New Findings in the Area of Machine Learni ng (The Temperature Effect on Electric Vehicle’s Lithium-Ion Battery Aging Using Machine Learning Algorithm)
Studies from Ain Shams University Add New Findings in the Area of Machine Learni ng (The Temperature Effect on Electric Vehicle’s Lithium-Ion Battery Aging Using Machine Learning Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting from Cairo, Egypt, by New sRx journalists, research stated, “This paper offers a brief insight into predic ting the State of Health (SOH) of lithium-ion batteries in EVs using machine lea rning.” The news editors obtained a quote from the research from Ain Shams University: “ Accurate SOH assessment is crucial for optimizing electric vehicles (EVs’) perfo rmance and longevity. Employing supervised machine learning on a diverse battery dataset, the research develops a robust SOH estimation method. Various algorith ms are compared for efficacy, considering factors like temperature and charging patterns. Feature selection enhances model accuracy and efficiency. The proposed methodology offers promising real-world results, indicating high SOH prediction accuracy.”
Ain Shams UniversityCairoEgyptAfri caAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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