This　study　proposes　a　multi-objective　adaptive　energy　management　strategy　for　fuel　cell　hybrid　electric　vehicles　considering　fuel　cell　health　state.　By　integrating　rule-based　control　with　multi-objective　optimization　methods,　the　strategy　aims　to　improve　system　efficiency,　extend　the　lifespan　of　proton　exchange　membrane　fuel　cells　(PEMFC),　and　reduce　operating　costs.　Based　on　a　comprehensive　model　of　PEMFC　output　characteristics　and　lifetime　degradation,　this　study　introduces　an　optimized　point　line　(OPL)　strategy.　This　strategy　dynamically　adjusts　operating　constraints　according　to　the　state　of　health　(SOH)　of　the　PEMFC,　ensuring　optimal　vehicle　performance　throughout　its　lifecycle.　To　optimize　the　OPL　strategy　parameters,　a　particle　swarm　optimization　algorithm　with　compression　factor　was　employed,　enhancing　the　strategy＇s　optimization　efficiency,　adaptability,　and　robustness　to　better　handle　various　real-world　operating　conditions.　The　strategy　was　evaluated　under　US06　and　WLTC　driving　cycles　and　compared　with　traditional　power　following　(PF)　and　point　line　(PL)　strategies.　Results　show　that　compared　to　the　PL　strategy,　the　OPL　strategy　achieved　a　36.4%　and　34.2%　reduction　in　operating　costs　under　US06　and　WLTC　cycles,　respectively.　Moreover,　PEMFC　lifetime　degradation　decreased　by　44.9%　and　39.4%　in　these　cycles.　In　high-power　regions,　the　average　operating　efficiency　of　PEMFC　improved　by　2%.　The　strategy　demonstrated　good　adaptability　to　different　driving　conditions,　providing　an　effective　solution　for　optimizing　the　performance　and　durability　of　fuel　cell　hybrid　electric　vehicles.