The invention relates to a detection method and a detection device for storage battery surplus capacity. According to the detection method and the detection device, a plurality of
capacitance predicted values and a plurality of surplus capacity predicted values of a storage battery to be detected are obtained by utilizing an
artificial neural network model
library and measured values of influencing factors of the surplus capacity, the plurality of
capacitance predicted values are subjected to weighted fitting, a
capacitance measured value is regarded as a target value, a capacitance fitted value is optimized by adopting a
particle swarm algorithm so as to obtain an optimized
weight coefficient, and the plurality of surplus capacity predicted values are subjected to weighted fitting by utilizing the optimized
weight coefficient, so as to obtain a surplus
capacity value of the storage battery to be detected. The
artificial neural network model
library is used in the detection method and the detection device, the plurality of accurate surplus capacity predicted values can be generated, the optimized
weight coefficient is obtained by adopting a
particle swarm algorithm after the plurality of surplus capacity predicted values are subjected to weighted fitting, so that the plurality of surplus capacity predicted values after weighted fitting are more close to an actual surplus
capacity value of the storage battery to be detected, and the detection precision of the surplus
capacity value is further improved.