In summary, we successfully use the DP model to construct the atomic interaction potential for the typical LixCoO2 cathode material. Our results show that the DP model can provide a robust PES for the spin-polarized TM oxide material as long as the system can be ensured in the ground state with respect to the TM spin configurations in the DFT+U calculations. We therefore believe that the machine-learning techniques can also be applied to construct PESs for other TM-oxide cathode materials, such as the LiNiO2, LiMnO2, or even Li(NixCoyMnz)O2. We then perform DeePMD simulations combined with enhanced sampling approaches to investigate the dynamic correlations between the TM cation migrations (to Li layers) and the associated oxygen dimer formation in a fully delithiated limit system -the CoO2 model. Our results show that the Co successive migration order exhibits interlayer and intralayer local characteristics.