This　study　proposes　a　novel　secure　and　lightweight　charging　scheduling　framework　approach　to　provide　the　customization　of　edge　computing　services　and　personalized　edge　computing　services　for　Moving　EVs　(MEVs)　and　Parking　EVs　(PEVs)　in　6G　heterogeneous　Vehicular　Networks　(HetVNETs).　A　DAG-based　smart-contract　well-protected　edge　computing　structural　design　is　specially　designed　in　the　scheme　by　taking　the　wireless　charging　models　into　account　including　the　attributes　of　6G　smart　devices,　where　each　vehicle　network　infrastructure　copes　with　some　more　EVs　in　parking　station　wireless　zone　(PEVs)　to　make　computing　services　whole　through　a　wireless　task.　Each　communication　network　handles　a　group　of　Electric　Vehicles　(EVs)　in　the　parking　zone　to　fulfill　Cloud　Computing　Services　(CCS)　in　wireless　charging　tasks.　With　this　architecture,　the　collaborative　computing　resource　allocation　(CCRA)　algorithm　is　developed　to　assist　each　network　computing　and　communication　hardware　and　software　systems　in　deciding　a　customized　service　strategy　(CSS)　to　fulfill　the　fast　wireless　charging　and　secure　easy　access　of　MEVs　based　on　the　widely　available　computational　complexity　solution　held　by　various　network　infrastructures.