For　solving　the　problem　that　the　current　equivalent　consumption　minimization　strategy　(ECMS)　cannot　select　the　optimal　equivalent　factor　according　to　the　actual　driving　condition,　an　energy　algorithm　model　for　parallel　hybrid　electric　vehicle,　i.e.　ECMS　with　dynamic　programming　(DP),　is　constucted　by　taking　the　respective　advantages　of　DP　and　ECMS.　With　equivalent　factor　as　the　control　variable　of　global　optimum　alroithm,　the　condition-based　optimal　time-varying　equivalent　factor　is　abtained　through　the　discrete　global　optimizaion　of　equivalent　factor.　A　numerical　simulation　is　conducted　on　all　performance　parameters　of　real-time　control　strategy　for　time-varying　equivalent　factor　and　the　DP　for　globally　optimal　control　strategy　in　normal　condition,　verifying　the　effectiveness　of　the　extraction　algorithm　for　time-varying　equivalent　factor　and　the　feasibility　of　the　selecting　method　for　the　initial　value　of　equivalent　factor.　©　2021,　Society　of　Automotive　Engineers　of　China.　All　right　reserved.