Tribovoltaic　nanogenerators　(TVNGs)　based　on　tribovoltaic　effect　can　output　DC　current　directly,　and　has　the　advantages　of　high　output　current　density　and　low　internal　resistance.　While　TVNGs　have　been　restricted　by　its　low　output　voltage　and　power.　Herein,　we　have　developed　a　metal-polymer　film　with　a　micro-uneven　structure　on　the　surface,　much　higher　corrosion　resistance　and　wear　resistance　than　metal.　On　this　basis,　a　centimeter-level　sliding　structure　metal-EP/GaN-TVNG　has　been　fabricated,　which　shows　a　high　and　stable　long-term　DC　electrical　output　(a　maximized　power　output　of　4.19　W/m2　when　matched　with　a　0.07　MΩ　resistor,　a　stable　output　current　of　2.25　A/m2　and　a　peak　Voc　of　27　V).　Further,　a　TVNG　vehicle　travelling　intelligent　sensor　and　system　which　can　integrate　electrical　signals　collected　by　TVNG　into　digital　signal　processing　algorithms　and　then　feed　backing　to　the　driving　system,　has　been　designed　and　manufactured.　As　an　effective　method　for　deep　analysis　of　signals,　Ensemble　Empirical　Mode　Decomposition　(EEMD)　has　been　used　for　the　first　time　for　deep　processing　of　nanogenerator　signals　in　this　work.　This　work　provides　a　new　model　of　further　development　of　high　output　TVNG　and　a　new　deep　signal　processing　methods　of　TVNG/TENG　signal.　©　2024