The invention discloses an
electric bicycle state monitoring method based on
sensor fusion, and relates to the technical field of
data analysis, and the method comprises the steps: obtaining a
resonance cooperation index and a road energy
permeability index through multi-dimensional data calculation, and carrying out the fusion to obtain a global
feature vector; inputting the global
feature vector under the
time sequence into a preset double-
branch prediction model, and outputting a riding intention and a riding mode; calculating a
power demand according to the multi-dimensional data, performing adaptive power distribution according to the
power demand and the riding mode, and when the riding intention is braking or downhill, performing
energy recovery according to a preset
energy recovery strategy; and calculating predicted
energy consumption and a
cost index of the road section, and performing path planning. According to the method, cooperation of a rider and a motor and
road surface conditions are quantified through a
resonance cooperation index and a road energy
permeability index, riding intention and mode prediction is achieved through a double-
branch prediction model, self-adaptive
energy management and power distribution are achieved based on power requirements,
energy recovery is triggered during sudden braking or downhill, and
safe operation is ensured.