首页|New Machine Learning Study Findings Have Been Reported by a Researcher at Newcas tle University in Singapore (Review of Various Machine Learning Approaches for P redicting Parameters of Lithium-Ion Batteries in Electric Vehicles)
New Machine Learning Study Findings Have Been Reported by a Researcher at Newcas tle University in Singapore (Review of Various Machine Learning Approaches for P redicting Parameters of Lithium-Ion Batteries in Electric Vehicles)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Sing apore, Singapore, by NewsRx correspondents, research stated, “Battery management systems (BMSs) play a critical role in electric vehicles (EVs), relying heavily on two essential factors: the state of charge (SOC) and state of health (SOH).” Financial supporters for this research include China Scholarship Council. The news editors obtained a quote from the research from Newcastle University in Singapore: “However, accurately estimating the SOC and SOH in lithium-ion (Li-i on) batteries remains a challenge. To address this, many researchers have turned to machine learning (ML) techniques. This study provides a comprehensive overvi ew of both BMSs and ML, reviewing the latest research on popular ML methods for estimating the SOC and SOH.”
Newcastle University in SingaporeSinga poreSingaporeAsiaCyborgsEmerging TechnologiesMachine Learning
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