The invention discloses a
lithium battery core and surface temperature
estimation method based on filtering, and belongs to the technical field of state
estimation. According to the method, iteration of a
system state is carried out by using a filtering method, prior distribution of
system noise and disturbance does not need to be known in advance, and the applicability of a
state variable method is improved; in a
state variable iteration process, each particle in particle filtering is wrapped by using a multi-
cell body, iteration of the particle filtering particles and iteration of a space body are synchronously carried out, and region limitation is performed on a
diffusion range of the particles by using the multi-
cell body, so that the distribution of the particles is closer to a real value and is denser; and the dense distribution of the particles means that the weights of the particles are closer, the number of the particles with small weights is smaller, the particles are prevented from being replaced in the
resampling process, the diversity of the particles is reserved, and then the problem that the
system robustness is poor due to particle shortage in the traditional
particle filtering algorithm process is solved.