Family-type solar cells recovered from the current research situation at home and abroad, the above various methods on SOC estimation is still mainly used in low-capacity battery system, large-capacity battery system for SOC estimation is often used in the same tradition of the monomer or module SOC estimation method, however, due to large-capacity battery system contains a large number of battery cells, and the performance parameters of each cell, showed nonlinear operating characteristics of each brand notebook battery recycling, these traditional method to estimate the precision will be greatly reduced, so the battery recycling, concerning large-capacity battery system SOC accurate estimation urgent further study. The core idea of ??the Kalman filter algorithm is optimal estimation of the system state minimum variance sense. The algorithm is recursive equations constitute SOC estimate covariance and represented by a series containing matrix estimation error, its main advantage is robustness and immunity, namely SOC initial error is not sensitive and suitable for Current volatility applications, the disadvantage is the computing power of the system and the battery model high precision. With the improvement of computer skills and control technology, the Kalman filter algorithm will get more and more people of all ages. Button waste battery recycling | battery recycling stream | East in mind renewable resources by the Dongguan Chang Ping Tung Kee renewable resource recycling offer. Dongguan Chang Ping Tung Kee renewable resource recycling (www.dongji8.com) strong, credible, Guangdong Dongguan scrap recycling industry has accumulated a large number of loyal customers. The company better work attitude and constantly improve the innovation will lead the East in mind the concept of renewable resources into the brilliant and you work for a better future!