Eminyakeni yakamuva, ngokunwetshwa okuqhubekayo kwezinhlelo zokusebenza zebhethri, ukukhathazeka ngokuphepha kuye kwagqama kakhulu. Njengenye yamaphutha ayingozi kakhulu ngesikhathi sokusebenza kwebhethri, ukubaleka okushisayo, lapho kwenzeka, kungaholela ekulimaleni okukhulu kwebhethri futhi kubangele ngisho nezigameko zokuphepha. Ngakho-ke, indlela yokuqapha ngempumelelo kanye nokunikeza isexwayiso kusenesikhathi sokubaleka okushisayo sekuyindaba ebucayi embonini.
I-Thermal Runaway iwukusabela okuzisheshisayo okukhulayo okwenzeka phakathi nenqubo yokushaja i-voltage eqhubekayo yamabhethri. Kulesi simo, izinga lokushisa langaphakathi lebhethri kanye namandla okushaja okuntantayo kuyasebenzisana, okwenza umjikelezo ononya ogcina uholela ekwandeni kwebhethri, ukuguqulwa, noma ngisho nokwehluleka. Izimbangela eziyinhloko zihlanganisa ukwanda kokukhiqizwa kokushisa phakathi nomjikelezo we-oksijeni kanye nokushisa okungahambi kahle, okuholela ekukhuphukeni okusheshayo kwezinga lokushisa futhi kuqhubekisele phambili ukuguquguquka kwe-oksijeni nokukhululwa kokushisa.
Amabhethri endabuko alawulwa yi-valve-regulated lead-acid (VRLA), asebenzisa ukushajwa kwe-voltage njalo, athambekele kakhulu ekubalekeni okushisayo uma amandla okushaja okuntantayo enyuka ngokushesha futhi edlula imikhawulo ephephile, okuholela emonakalweni ongenakulungiseka.
Ukuze kubhekwane nenkinga yokubaleka kokushisa, i-DFUN Battery Monitoring System (BMS) inikeza isisombululo esiphelele nesisebenza kahle. Ngokuqapha ngesikhathi sangempela izinga lokushisa le-electrode elingalungile lebhethri, ukushaja kwe-float, nokuhlanganisa idatha ebalulekile efana nezinga lokushisa le-ambient, i-DFUN BMS ingakwazi ukuhlaziya ngokunembile izimpawu zakuqala zokubaleka okushisayo futhi inikeze izexwayiso zangaphambi kwesikhathi ezihlakaniphile.
I-Multi-Dimensional Data Monitoring
I-DFUN BMS ithwebula lonke ushintsho olucashile esimweni sokusebenza kwebhethri ngokuqapha ngesikhathi sangempela izinga lokushisa le-electrode elingalungile, ukushaja okuntantayo, kanye nezinga lokushisa le-ambient.
Intelligent Thermal Runaway Analysis Model
Ngokusekelwe kudatha yokuhlola ebanzi kanye nemikhuba ehamba phambili yomkhakha, i-DFUN BMS ihlanganisa ama-algorithms okuhlaziya ahlakaniphile ukuze ibale izinga loshintsho lwamapharamitha angukhiye futhi yenze izinqumo ezibanzi, ezihlonza ngokunembile izingozi ezingaba khona zokubalekela ukushisa.
I-Multi-Level Warning Mechanism
Uma kutholwa izingozi zokushisa okushisayo, isistimu ikhipha izexwayiso ngokushesha ngama-alamu omsindo nokukhanya, izaziso ze-SMS, nezinye izindlela zokusiza abasebenzisi ukuthi bathathe izinyathelo ezifika ngesikhathi futhi bagweme izingozi.
Izinzwa Ezinembe Kakhulu: Qinisekisa ukwethembeka kwezinga lokushisa nedatha yokuqapha yamanje.
I-self-Learning Algorithms: Lungiselela ngokuqhubekayo ukuqondana kokwahlulela ukuze uthuthukise ukunemba kwezixwayiso zangaphambi kwesikhathi.
Ukuguquguquka Okuqinile Kwendawo Ezungezile: Ifanele uhla olubanzi lwezimo zokusebenza eziyinkimbinkimbi, ehlangabezana nezidingo zezimboni ezihlukahlukene.
I-DFUN izibophezele ekunikezeni amakhasimende izixazululo ezinzile neziphephile zokuqapha ibhethri. Ngemikhiqizo yethu ye-BMS, abasebenzisi bangakwazi ukuvimbela ngempumelelo izingozi zokuphuma kokushisa, bandise ngokuphawulekayo ubude bebhethri, futhi behlise zonke izindleko zokusebenza nezokulungisa. Ukuvikela ukusebenza kwamabhethri akho, ukuqinisekisa ukuthi ihora ngalinye le-kilowatt liphephile futhi lithembekile. Khetha i-DFUN Smart BMS, futhi ukuphepha kuzohlala kuku-inthanethi.
