Considering　the　limited　driving　range　and　inconvenient　energy　replenishment　way　of　battery　electric　vehicle,　fuel　cell　electric　vehicles　(FC　EVs)　are　taken　as　a　promising　way　to　meet　the　requirements　for　long-distance　low-carbon　driving.　However,　due　to　the　limitation　of　FC　power　ability,　a　battery　is　usually　adopted　as　the　supplement　power　source　to　fill　the　gap　between　the　requirement　of　driving　and　the　serviceability　of　FC.　In　consequence,　energy　management　is　essential　and　crucial　to　an　efficient　power　flow　to　the　wheel.　In　this　paper,　a　self-optimizing　power　matching　strategy　is　proposed,　considering　the　energy　efficiency　and　battery　degradation,　via　implementing　a　deep　deterministic　policy　gradient.　Based　on　the　proposed　strategy,　less　energy　consumption　and　longer　FC　and　battery　life　can　be　expected　in　FC　EV　powertrain　with　optimal　hybridization　degree.