In　this　paper,　we　propose　a　flexible　single-index　partially　functional　linear　regression　model,　which　combines　single-index　model　with　functional　linear　regression　model.　All　the　unknown　functions　are　estimated　by　B-spline　approximation.　Under　some　mild　conditions,　the　convergence　rates　and　asymptotic　normality　of　the　estimators　are　obtained.　Finally,　simulation　studies　and　a　real　data　analysis　are　conducted　to　investigate　the　performance　of　the　proposed　methodologies.