In　recent　years,　microfluidic　biochips　have　been　widely　applied　in　various　fields　of　human　society.　The　emergence　of　distributed　channel-storage　architecture　enables　fluid　to　be　directly　cached　within　the　flow　channels　without　being　transported　to　the　dedicated　storage.　However,　the　volume　of　the　flow　channels　is　limited,　it　is　important　to　carefully　consider　the　fluid　volume　to　be　cached　to　ensure　it　can　be　accommodated　within　the　appropriate　flow　channels.　In　this　paper,　we　propose　a　high-level　synthesis　method　considering　actual　volume　management　and　channel　storage　through　integer　linear　programming,　providing　a　rational　analysis　of　fluid　caching　and　the　temporal　relationships　between　different　fluid-handling　tasks.　Experimental　results　conducted　on　multiple　benchmark　tests　demonstrate　the　effectiveness　of　the　proposed　method　in　reducing　the　completion　time　of　bioassay,　the　number　of　caches,　the　maximum　fluid　caching　volume,　and　the　number　of　fluid-handling　tasks.