State of charge estimation of battery in mine-used movable lifesaving cabin based on extended Kalman filtering method

Abstract

In view of problem of low precision in SOC estimation of battery in mine-used movable lifesaving cabin based on ampere hour method under condition of higher fluctuation of environment temperature or discharge current, the paper proposed a SOC estimation method of battery in mine-used movable lifesaving cabin based on extended Kalman filtering method. The method is basis on ampere hour method, takes factors of environment temperature and discharge current influencing estimation of SOC of battery as noises of battery system and uses optimal estimation recursive algorithm of extended Kalman filtering method to make real-time filtering and estimation for SOC of battery, which can improve estimation precision of SOC of battery. The experiment result showed that estimation result of SOC of battery used by the method is consistent with measured values and the method can applied to battery management system of mine-used movable lifesaving cabin.

Keywords

• mine-used movable lifesaving cabin
• state of charge of battery
• soc estimation
• extended kalman filtering method
• ampere hour method