Proton　exchange　membrane　fuel　cell　(PEMFC)/battery　hybrid　electric　vehicle　is　considered　as　promising　transportation　due　to　its　eco-friendly　characteristics.　This　article　investigates　a　fuzzy　logic　(FL)-based　adaptive　backstepping　sliding-mode　control　(BSMC)　approach　to　generate　stable　charging　current　and　voltage　for　battery　charging　applications　on　a　non-plug-in　PEMFC　vehicle.　An　adaptive　BSMC　is　proposed　to　address　nonlinearities　and　disturbances　caused　by　dc/dc　buck　converter,　PEMFC,　and　equivalent　load　variations　of　batteries.　Moreover,　an　FL-based　approximation　is　utilized　to　estimate　the　time-varying　equivalent　load　of　batteries　through　the　adaptive　laws　obtained　by　the　defined　Lyapunov　function　and　can　offer　assistance　estimating　the　state　of　charge　(SOC)　of　batteries.　Simulation　comparisons　between　a　proportional-integral　(PI)　control　and　the　proposed　FL-based　adaptive　BSMC　were　executed　subsequently　under　certain　conditions　to　validate　the　efficacy.　Finally,　experiments　on　the　PEMFC/battery　hybrid　power　system　scaling　prototype　via　NI　(PCI-6229)-LabVIEW　platform　were　implemented　to　test　the　charging　performance　of　the　proposed　approach.　The　comparative　results　indicated　that　the　FL-based　adaptive　BSMC　method　could　regulate　charging　current　and　voltage　against　disturbance　and　uncertainty　and　estimate　the　equivalent　load　of　batteries　accurately.