The invention discloses a
lithium battery
hybrid equalization method and
system based on a multi-dimensional difference model, and relates to the technical field of
lithium battery
equalization, and the method comprises the specific steps: collecting the
voltage, current and other data of a
cell at 0.5-2 kHz, and calculating a comprehensive difference value; dynamic grouping is carried out according to the sequence, active
equalization is carried out on the threshold exceeding Buck / Buck-Boost channels, and passive equalization is carried out on the rest of the threshold exceeding Buck / Buck-Boost channels through 0.1-5F capacitors; finally,
machine learning agent optimization parameters are introduced, and only passive equalization is maintained to guarantee safety during exception; according to the method, a multi-dimensional difference fusion model is utilized, multiple parameters are integrated, a dynamic weight and a correction factor are introduced, the limitation of a single index is broken through, the active equalization proportion is flexibly adjusted in combination with a dynamic grouping
algorithm, over / under-equalization is avoided, the strategy pertinence is improved, and the service life of the battery is prolonged; meanwhile, active and passive channels are combined to form a complementary mechanism,
machine learning multi-objective optimization iteration parameters are matched, a passive mode is switched when abnormity occurs, and efficiency,
fault tolerance and complex working condition robustness are improved.