首页|Researchers from Beijing Jiaotong University Discuss Findings in Machine Learnin g (Machine Learning and Feature Engineeringbased Anode Potential Estimation Met hod for Lithium-ion Batteries With Application)
Researchers from Beijing Jiaotong University Discuss Findings in Machine Learnin g (Machine Learning and Feature Engineeringbased Anode Potential Estimation Met hod for Lithium-ion Batteries With Application)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Anode potentialis a direct characterization parameter for lithium plating, and the real-time and accurate a node potentialestimation is crucial for the safe and stable operation of lithiu m-ion batteries. An ideal method forestimating anode potential should possess c haracteristics, such as real-time capability, non-destructiveness,high accuracy , and strong adaptability to varying operating conditions.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesEngineeringMachine LearningBeijing Jiaoto ng University
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