Battery pack equilibrium method based on clustering analysis

The invention provides a battery pack equilibrium method based on clustering analysis. A clustering analysis method is used for analyzing data such as voltages and internal resistance of each battery unit of battery packs in a time period in a clustering mode, the battery packs are classified, and meanwhile current information such as voltages and charging and discharging currents of batteries during equilibrium strategy judging is combined, so that the classified battery packs are further selected, finally battery units which need equilibrium charging and equilibrium discharging in the battery packs are obtained, and a charging and discharging loop is controlled to carry out equilibrium maintaining through an equilibrium module. According to the battery pack equilibrium method, history battery voltage data are introduced so that influence from voltage-abnormal batteries and voltage collecting accuracy can be effectively avoided, and meanwhile surplus capacity relevant factors such as SOC and SOH are combined, so that the phenomenon that the voltages and capacity are not in accordance is effectively avoided, the consistency of the battery packs is effectively guaranteed, and service life of the battery packs is further prolonged.