The　quasi-steady-state　model　for　identification　and　the　new　method　of　online　multi-parameter　identification　for　surface-mounted　permanent　magnet　synchronous　motors　under　quasi-steady-state　are　presented　in　order　to　overcome　the　deficiency　of　the　traditional　parameter　identification　for　permanent　magnet　synchronous　motors　under　steady　and　dynamic　states.　The　new　method　is　based　on　the　forgetting　factor　recursive　least　squares　(FRLS)　algorithm　and　has　enough　precision　of　identification　with　the　guide　of　error　analysis　for　optimization.　The　complete　three　electrical　parameters　of　surface-mounted　permanent　magnet　synchronous　motors　can　be　quickly　and　simultaneously　identified　with　the　new　method,　which　has　acceptable　computational　complexity　and　is　suitable　for　the　engineering　applications.　The　experiment　study　verifies　the　feasibility　and　validity　of　the　method,　which　was　implemented　on　the　experiment　platform　based　on　DSP　and　intelligent　power　module.　©　2016,　The　editorial　office　of　Transaction　of　China　Electrotechnical　Society.　All　right　reserved.