The　active　sound　generation　systems　(ASGS)　for　electric　vehicles　(EVs)　play　an　important　role　in　improving　sound　perception　and　transmission　in　the　car,　and　can　meet　the　needs　of　different　user　groups　for　driving　and　riding　experiences.　The　active　sound　synthesis　algorithm　is　the　core　part　of　ASGS.　This　paper　uses　an　efficient　variable-range　fast　linear　interpolation　method　to　design　a　frequency-shifted　and　pitch-modified　sound　synthesis　algorithm.　By　obtaining　the　operating　parameters　of　EVs,　such　as　vehicle　speed,　motor　speed,　pedal　opening,　etc.,　the　original　sound　signal　is　interpolated　to　varying　degrees　to　change　the　frequency　of　the　sound　signal,　and　then　the　amplitude　of　the　sound　signal　is　determined　according　to　different　driving　states.　This　simulates　an　effect　similar　to　the　sound　of　a　traditional　car　engine.　Then,　a　dynamic　superposition　strategy　is　proposed　based　on　the　Hann　window　function.　Through　windowing　and　superposition　processing　of　each　sound　signal　segment　generated　by　the　algorithm,　the　coherence　and　real-time　performance　of　the　synthesized　engine　sound　are　improved,　so　that　the　ASGS　can　quickly　and　accurately　reflect　the　driving　status　of　EVs.　Finally,　through　the　analysis　and　verification　of　the　sound　quality　of　the　synthesized　sound　through　different　parameter　adjustments,　an　engine　synthesized　sound　that　satisfies　the　subjective　evaluation　of　sound　quality　can　be　obtained.　This　paper　proposes　an　effective　active　sound　synthesis　algorithm　for　EVs,　which　ensures　that　EVs　produce　more　textured　engine　sound　while　emphasizing　the　timeliness　of　synthesized　sound.　It　plays　an　important　role　in　improving　pedestrian　safety　perception　and　driving　experience,　and　promotes　the　research　and　development　of　ASGS　for　EVs.　©　2024　SAE　International.　All　rights　reserved.