The　type　recognition　algorithm　of　driving　conditions　was　studied　based　on　LVQ　neural　network,　to　provide　the　basis　for　the　intelligent　management　strategy　of　hybrid　electric　vehicles.　First,　11　characteristic　parameters　were　extracted　from　4　typical　road　type　conditions　and　the　3　kinds　of　standard　cycle　conditions　to　train　the　data.　Then,　the　LVQ　neural　network　type　recognition　algorithm　of　driving　condition　was　developed.　Based　on　this,　a　hybrid　power　system　was　as　an　example,　which　combined　with　multiple　nonlinear　regression　analysis　to　develop　the　corresponding　control　strategy.　Finally,　LVQ　neural　network　type　recognition　simulation　model　of　driving　condition　was　established　based　on　the　Simulink　simulation　platform,　type　recognition　tests　were　carried　on　under　the　Chinese　city　typical　cycle　road　conditions,　standard　condition　recognition　tests　were　carried　on　by　constructing　UDDS+NYCC+UDDS　driving　conditions.　The　results　show　that　the　established　LVQ　neural　network　may　accurately　identify　the　type　of　driving　condition　types　and　the　control　effectiveness　of　the　energy　management　strategy　is　improved　effectively.　©　2017,　China　Mechanical　Engineering　Magazine　Office.　All　right　reserved.