Ikamva Lamandla: Indlela Ubukrelekrele Bokwenziwa Obuchaza Ngayo Iinkqubo Zolawulo Lwebhetri

Njengoko utshintsho lwamandla lwehlabathi lukhawuleza, imfuno yokugcina amandla ngokufanelekileyo ayizange ibe phezulu. Nangona kunjalo, ubunzima beebhetri ze-lithium-ion bufuna ukubekwa esweni okuntsonkothileyo. Kulapho isizukulwana esilandelayoInkqubo yoLawulo lweeBhetri (i-BMS)Itekhnoloji iyasetyenziswa, isebenzisa ubuNgcali boBugcisa boBugcisa (AI) kunye nokufunda koomatshini (ML) ukuguqula indlela esigcina kwaye sisebenzisa ngayo amandla.

Ukusuka kuKhuselo oluSebenzayo ukuya kwiNgqondo eSebenzayoNgokwesiko, i-BMS esemgangathweni isebenza ngengqiqo eqinileyo, esekelwe kwimithetho. Iyayiqhawula ibhetri xa i-voltage okanye ubushushu budlula umda omiselweyo. Nangona isebenza kukhuseleko olusisiseko, le ndlela iyasebenza. Ukuhlanganiswa kwe-AI kutshintsha le ndlela ibeukugcinwa kwangaphambiliNgokuhlalutya rhoqo iipateni zedatha yembali, ii-algorithms eziqhutywa yi-AI zinokuqikelela ukusilela kweeseli okunokwenzeka, iingozi zokubaleka kobushushu, okanye ukwehla kwamandla kwiiveki ngaphambi kokuba zenzeke. Le ndlela yokuzikhusela iyatshintshaukhuseleko lwebhetri ye-lithium, ngakumbi kwiiNkqubo zoLondolozo lwaMandla ezinkulu (i-ESS) kunye nezithuthi zombane.

Ukuqonda imeko yezeMpilo (i-SOH) kunye ne-SOCUkuqikelela ngokuchanekileyo iState of Charge (SOC) kunye neState of Health (SOH) bekusoloko kuyingxaki ngenxa yendalo ye-non-linear ye-battery chemistry. Iindlela zemveli, njengokubala iiyure ze-Ampere, zineengxaki zokuqokelelana ngokuhamba kwexesha.izisombululo ze-BMS ezikrelekrelengoku kusetyenziswa iiNeural Networks kunye neCloud Computing. Ezi nkqubo zenza i-"Digital Twin" yebhetri, evumela ukulinganisa ngexesha langempela kunye nokulungiswa koqikelelo lwe-SOC/SOH. Oku kuphumela kwidatha echanekileyo eyandisa ubomi obusebenzisekayo bepakethi yebhetri kwaye iphucule imijikelo yokutshaja ukuze isebenze kakuhle.

Ulawulo lweBhetri oluLungileyo
I-AI kwi-BMS

Indima ye-Cloud Computing kunye ne-IoTIkamva leulawulo lwebhetriayipheleli nje kwizixhobo ezikwibhodi; imalunga noqhagamshelo. Nge-Intanethi yezinto (IoT), idatha enkulu yebhetri idluliselwa efini. Apha, ii-algorithms ze-AI zihlalutya iindlela ezisetyenziswa kumawaka eeyunithi, zifunda ekusebenzeni kwebhetri enye ukuphucula indlela yokulawula yeenqwelo-moya zonke.

Ukudibana kwetekhnoloji ye-AI kunye ne-BMS kubonisa inyathelo elibalulekileyo eliya phambili. Ngokuvumela ukugcinwa kwamandla okukrelekrele, okukhuselekileyo, nokusebenza kakuhle, ezi zinto zintsha zibeka iziseko ezibalulekileyo zekamva lamandla aluhlaza azinzileyo.


Ixesha leposi: Feb-28-2026

QHAGAMSHELANA NO-DALY

  • Idilesi: Inombolo 14, Gongye South Road, iSongshanhu Science and Technology Industrial Park, Dongguan City, Guangdong Province, China.
  • Inombolo: +86 13215201813
  • ixesha: Iintsuku ezisi-7 ngeveki ukusuka ngentsimbi ye-00:00 kusasa ukuya kweye-24:00 emva kwemini
  • I-imeyile: dalybms@dalyelec.com
  • Umgaqo-nkqubo waBucala we-DALY
Thumela i-imeyile