This　paper　presents　a　spatial　domain　Dynamic　Programming　(DP)　optimal　power　management　scheme　for　plug-in　hybrid　electric　vehicles,　which　integrates　multiple　trip　information　including　speed,　road　grade　and　payload　profiles.　The　segment-wise　power　demand　is　obtained　in　a　closed　form,　based　on　length,　initial　speed,　acceleration,　road　grade,　payload　and　wind　of　a　road　segment.　The　State　of　Charge　(SOC)　change　is　obtained　with　linearisation　of　battery　non-linear　dynamics　for　different　Power　Split　Ratio　(PSR).　An　adjustable　segment　scheme　used　of　analytical　function　is　developed　in　order　to　improve　the　computation　efficiency　of　the　optimal　power　management　without　losing　much　of　fuel　economy.　Simulation　study　shows　that　incorporating　additional　trip　information　such　as　road　grade　and　predictable　payload　change　into　the　optimisation　can　significantly　improve　the　fuel　economy.　The　computational　efficiency　is　also　evaluated.　The　proposed　method　can　greatly　facilitate　the　development　of　optimal　power　management　strategy　for　PHEV　with　multiple　information　inputs.　Copyright　©　2010　Inderscience　Enterprises　Ltd.