An unscented kalman ltering method for estimation of state-of-charge of lithium-ion battery

HIGHLIGHTS

• who: . and colleagues from the Shandong University, China have published the article: An unscented kalman ltering method for estimation of state-of-charge of lithium-ion battery, in the Journal: (JOURNAL)
• how: In this paper the least square algorithm with forgetting factor (FFRLS) is used to realize the dynamic identification of model I V1 u23aa u23a7 u23aa V1 - u23aa u23aa u23a8 C1 R1 C1 u23aa. u23aa I V2 u23aa u23aa - u23a9 V2 C2 R2 C2 Where I represents the load current (negative for charge positive for discharge). A bilinear transformation method shown in Eq 4 . . .
  

   

  

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