Data　aggregation　can　effectively　improve　resource　utilization　in　Internet　of　Vehicles　(IoV),　and　has　attracted　broad　attention　recently.　However,　because　of　the　particularity　of　nodes　in　IoV,　data　aggregation　faces　security　challenges　such　as　location　privacy,　data　privacy　and　accuracy　of　aggregation　results.　To　solve　these　challenges,　in　this　paper,　we　propose　a　secure　and　lightweight　privacy-preserving　data　aggregation　scheme,　named　SLPDA,　for　IoV.　Specifically,　SLPDA　employs　Chinese　Remainder　Theorem　to　map　multi-dimensional　data　to　one-dimensional　data,　and　uses　masking　technology　to　encrypt　data,　thus　roadside　units　can　realize　lightweight　data　aggregation　without　plaintext.　SLPDA　also　adopts　Identity-based　batch　authentication　technology　to　reduce　authentication　overhead.　Detailed　security　analysis　indicates　that　SLPDA　can　resist　various　security　threats.　In　addition,　the　performance　evaluations　demonstrate　that　SLPDA　is　more　efficient　than　the　reported　schemes　in　terms　of　computation　complexity　and　communication　overhead.