As　one　of　the　promising　solutions　to　air　pollution　and　energy　crisis　caused　by　the　transportation　sector,　fuel　cell　hybrid　electric　vehicles　(FC　HEVs)　attract　great　attention　around　the　world.　Given　the　under　power　of　the　fuel　cell　to　meet　the　requirements　of　daily　driving,　a　power　supplement　system,　generally　battery,　is　essential　to　make　up　a　multi-power　hybrid　powertrain.　In　this　paper,　the　power　matching　strategies　are　optimized,　considering　the　system　cost,　energy　efficiency,　and　battery　degradation,　by　particle　swarm　optimization　(PSO)　algorithm.　Based　on　the　change　of　the　degree　of　hybridization　(DOH),　two　hybrid　systems　are　proposed,　and　the　corresponding　optimal　hybridization　degrees　of　the　hybrid　powertrain　are　found　under　four　groups　of　weighting　factors.　Based　on　multi-objective　optimization,　the　optimal　hybridization　degrees　of　the　hybrid　powertrain　are　proposed　to　extend　battery　life,　improve　energy　consumption,　and　reduce　powertrain　cost　according　to　individual　requirements.