The　acceleration　vibe　of　a　car＇s　engine　can　be　enhanced　and　a　brand-specific　auditory　identity　can　be　created　via　active　sound　design.　Currently,　experienced　engineers　are　desperately　required　when　the　active　sound　design　for　car　acceleration　roar　was　processing,　which　consumed　substantial　time　and　human　resources.　Therefore,　it　is　critical　to　conduct　a　research　on　the　evaluation　model　for　estimating　car　acceleration　sound　quality　to　improve　sound　design　efficiency　and　reducing　costs.　1,003　acceleration　roars　samples　of　common　cars　were　collected　in　this　paper,　all　of　which　could　be　commonly　heard　by　the　road.　Nine　psychoacoustic　objective　parameters,　such　as　loudness,　sharpness,　and　roughness,　were　calculated　through　Artemis　Suite　software,　establishing　a　database　for　the　sound　quality　of　car　acceleration　sounds.Moreover,　subjective　evaluations　of　sound　playback　and　objective　data　analysis　were　conducted　to　obtain　the　ratings　of　acceleration　sounds.　Firstly,　five　objective　psychoacoustic　parameters　are　constructed　to　evaluate　the　vehicle　sound　quality　based　on　the　correlation　analysis.　Subsequently,　an　evaluation　and　prediction　model　of　acceleration　sound　quality　based　on　MLP(Multi　layer　Perceptron)　was　constructed,　with　psychoacoustic　parameters　as　input　features　and　subjective　evaluation　scores　as　output,　which　correlates　objective　test　data　with　subjective　evaluation　results.　This　model　was　determined　as　the　evaluation　model　for　car　acceleration　sound　quality　for　this　case,　and　the　average　prediction　accuracy　rate　of　which　is　more　than　90%,　providing　key　technical　support　for　promising　active　sound　design　of　car　engines.　　©　2025　SAE　International.　All　Rights　Reserved.