Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “In this paper, a comparative study on the state of charge (SOC) estimation of the lithium-rich manganese-ba sed battery (LRMB) has been conducted by systematically considering the equivale nt circuit model (ECM), aging state and algorithms. The results show that the first-order RC model combined with the Extended Kalman filter (EKF) is more suitable for the SOC estimation of the LRMB when the battery decays less severely.”
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