机译:State-of-charge estimation for LiNi0.6Co0.2Mn0.2O2/graphite batteries using the compound method with improved extended Kalman filter and long short-term memory network
Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Jiangsu, Peoples R China;
Univ Washington, Dept Elect & Comp Engn, Washington, DC USA;
extend Kalman filter; generalized regression neural network; lithium; 8208; ion batteries; long short; term memory network; recursive least square method with forgetting factor; state; of; charge estimation;