The　anxiety-provoking　driving　range　has　always　been　an　obstacle　to　the　large-scale　popularization　of　electric　vehicles　(EVs).　To　improve　the　driving　range　without　affecting　the　driving　performance,　a　Dual-Motor　Two-Speed　All-Wheel-Drive　(DMTS-AWD)　electrified　powertrain　is　proposed　in　this　work.　The　system　adopts　a　motor　on　the　front　axle　and　rear　axle,　respectively,　and　the　rear　motor　adopts　a　two-speed　automatic　mechanical　transmission　to　improve　energy　efficiency　and　dynamic　performance.　An　advanced　Delayed　Deep　Deterministic　Policy　Gradient　(TD3)-based　Energy　Management　Strategy　(EMS)　is　used　to　pursue　better　motor　working　efficiency　with　consideration　of　practicability.　In　addition,　a　direct　control　method　without　complicating　the　structure　of　the　actor　network　is　proposed　to　realize　mode　selection　and　torque　distribution　simultaneously,　which　is　a　discrete(mode)-continuous　(motor　torque)　hybrid　action　space.　The　simulation　results　show　that　the　energy　consumption　of　DMTS-AWD　with　TD3-based　EMS　improves　by　6.44%　compared　to　the　Single-Motor　Single-Speed　(SMSS)　powertrain,　which　is　comparable　to　the　global　optimization　method.　Moreover,　the　proposed　EMS　in　this　paper　has　a　faster　convergence　speed　and　better　adaptability　compared　with　the　classic　Deep　Deterministic　Policy　Gradient　(DDPG).　IEEE