With　the　popularization　and　application　of　new　energy,　the　vigorous　development　of　electric　vehicles　is　facilitated.　While　the　number　of　electric　vehicles　has　increased　significantly,　a　large　number　of　electric　vehicles　are　charged　in　disorder,　resulting　in　the　problems　of　low　charging　efficiency　and　serious　grid　load.　This　paper　proposes　a　blockchain-based　charging　scheduling　strategy　for　electric　vehicles.　Firstly,　a　trusted　information　platform　based　on　blockchain　is　built,　and　a　secure　scheduling　architecture　for　electric　vehicle　charging　based　on　blockchain　is　designed.　Furthermore,　considering　the　factors　of　user　reputation,　time-of-use　electricity　price,　and　distance　consumption,　a　user　behavior-based　calculation　method　of　the　cost　is　proposed.　Finally,　an　electric　vehicle　charging　scheduling　strategy　based　on　Particle　Swarm　Optimization　is　constructed　to　achieve　the　goal　of　orderly　charging　scheduling　and　peak　shaving　and　valley　filling　of　a　large　number　of　electric　vehicles.　The　theoretical　analysis　and　simulation　experiments　show　that　the　proposed　optimization　scheme　could　effectively　reduce　user　overhead　and　grid　pressure.　©　2022　IEEE.