With　the　rapid　development　of　the　fifth　generation　(5G)　mobile　communications　technology,　Internet　of　ve⁃　hicles　(IoV)　has　become　one　of　the　important　scenarios　for　5G　applications.　Due　to　the　urgent　requirements　of　these　appli⁃　cations　for　timely　content　caching,　a　dynamic　content　caching-enabled　edge　caching　scheme　is　investigated　to　ensure　timeli⁃　ness,　which　allows　vehicles　to　obtain　cache　content　with　freshness　constraints　from　an　edge　caching-enabled　access　point　(CAP).　Furthermore,　based　on　the　idea　of　collaborative　cache,　a　random　model　of　CAP　cache　refreshing　and　delivery　is　es⁃　tablished　by　probability　theory.　Meanwhile,　considering　the　metric　of　hit　rate　with　age　of　information　(AoI)　as　the　quality　of　service　(QoS)　index　of　IoV　cache,　a　system　model　of　caching　performance　value　is　developed.　To　ensure　the　effective⁃　ness　of　content　caching,　two　types　of　vehicular　content　requests　with　different　AoI　requirements　are　considered　in　a　hierar⁃　chical　slicing　framework.　Finally,　the　optimization　problem　to　maximize　the　content　caching　value　of　cooperative　content　placement　is　formulated,　which　is　a　multi-objective,　multi-dimensional　and　multi-choice　knapsack　problem　and　is　proved　to　be　NP-hard.　Therefore,　the　problem　is　divided　into　several　independent　optimization　problems,　and　a　maximum　incremen⁃　tal　algorithm　based　on　the　age　value　of　the　content　is　designed　to　solve　it.　Simulation　results　show　that　the　CAP　cooperative　content　placement　strategy　outperforms　other　traditional　methods.　©　2023　Chinese　Institute　of　Electronics.　All　rights　reserved.