The　development　of　new　energy　vehicles　is　a　key　factor　in　the　adjustment　of　China＇s　energy　structure　and　the　decrease　in　carbon　emissions.　It　is　a　frontier　field　for　China　to　achieve　high-quality　development　and　construct　a　modern　socialist　nation　fully.　However,　because　lithium-ion　battery　used　in　new　energy　vehicles　have　a　limited　lifespan,　it　is　likely　to　have　a　very　significant　security　risk　when　the　lithium-ion　battery　is　not　replaced　in　a　timely　manner.　Predicting　the　lithium-ion　battery＇s　remaining　useful　life　(RUL)　is　crucial　for　this　reason.　In　order　to　forecast　the　RUL　while　taking　health　indicators　(HI)　into　account,　the　extended　belief　rule　base　(EBRB)　model　is　introduced　in　this　paper.　The　EBRB　model＇s　capacity　to　handle　complicated　modeling　issues　helps　to　increase　the　RUL　prediction＇s　accuracy　and　interpretability.　This　study　is　of　great　significance　for　promoting　the　development　of　new　energy　vehicles,　adjusting　China＇s　energy　structure,　and　reducing　carbon　emissions.　©　2023　IEEE.