A　simulation　method　of　an　intelligent　contactor　is　presented　by　using　a　neural　network　to　fit　the　proven　relationship　among　the　flux　linkage,　the　electrical　current,　and　the　moving　core　displacement　of　a　contactor　in　this　article.　First,　the　neural　network　algorithm　is　trained　by　the　operational　data　of　a　contactor　driven　by　a　basic　training　circuit　to　solve　the　coil　current.　Then,　a　dynamic　simulation　program　of　the　contactor　model　is　constructed　via　combining　the　algorithm　and　dynamic　differential　equations.　On　this　basis,　by　means　of　the　co-simulation　technology,　the　point-by-point　closed-loop　simulation　between　the　control　module　and　the　contactor　model　is　carried　out.　Accordingly,　the　co-simulation　of　an　intelligent　contactor　based　on　a　neural　network　is　completed.　The　simulation　method　can　avoid　the　complex　finite-element　modeling　of　a　contactor　and　realize　the　model　extraction　of　an　arbitrary　contactor.　The　extracted　model　can　be　combined　with　a　drive　circuit　and　any　control　strategy　to　perform　the　co-simulation,　which　is　convenient　for　the　flexible　design　of　hardware　control　circuits　and　software　control　strategies　of　various　intelligent　contactors.