首页|Researchers from Chang’an University Discuss Research in Machine Learning (An im proved model combining machine learning and Kalman filtering architecture for st ate of charge estimation of lithium-ion batteries)
Researchers from Chang’an University Discuss Research in Machine Learning (An im proved model combining machine learning and Kalman filtering architecture for st ate of charge estimation of lithium-ion batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of Xi’an, People’s Repu blic of China, by NewsRx editors, research stated, “Accurate state of charge(SO C) estimation of lithium-ion batteries is a fundamental prerequisite for ensurin g the normal and safeoperation of electric vehicles, and it is also a key techn ology component in battery management systems.”
Chang’an UniversityXi’anPeople’s Rep ublic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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