In　this　paper,　the　influencing　factors　in　the　preparation　process　of　C4　olefins　were　studied,　and　the　suitable　temperature　and　catalyst　combinations　were　selected　by　optimization.　The　relationship　between　ethanol　conversion　and　C4　olefin　selectivity　and　the　temperature　was　obtained　by　least　squares　fitting,　and　the　model　has　good　accuracy.　A　multiple　regression　model　was　developed　to　optimize　the　catalyst　combinations　under　two　charging　methods　A　and　B　with　the　objective　function　of　maximizing　the　C4　yield,　and　the　optimal　combinations　of　parameters　were　obtained　for　different　charging　methods　and　temperatures　to　provide　a　reference　for　the　production　process.　©　2022　SPIE.　All　rights　reserved.