The　energy　consumption　problem　is　a　hot　topic　in　Android　communities.　The　high　energy　cost　caused　by　improper　development　brings　lots　of　complaints　from　users.　An　effective　and　efficient　energy　consumption　analysis　technique　can　guide　the　developers　to　improve　the　energy　efficiency　of　their　apps.　Existing　researches　on　this　problem　focus　on　either　system　entity　level　that　gives　the　energy　consumption　of　the　hardware,　or　source　line　level　that　calculates　the　energy　cost　of　source　codes.　With　the　consideration　of　accuracy　and　cost　of　analysis,　this　paper　proposes　a　lightweight　and　automatic　approach　to　estimate　the　method-level　energy　consumption　for　Android　apps.　We　construct　a　statistical　model　from　a　set　of　energy　values　obtained　by　Dalvik　bytecode　based　instrumentation　and　software-based　measurement,　to　predict　the　energy　consumption　of　execution　sequences　of　methods.　The　experiments　on　several　real-world　apps　show　that　the　proposed　techniques　have　low　overhead　while　persisting　acceptable　accuracy.