State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles - Details

author：

Lee, C.C. (Lee, C.C..) ^[1] | Hu, Panpan (Hu, Panpan.) ^[2] | Li, C.Y. (Li, C.Y..) ^[3] | Wang, S.H. (Wang, S.H..) ^[4] (Scholars：王少昊)

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Abstract：

In　recent　years,　Lithium-ion　batteries　have　been　widely　applied　in　electric　vehicles　(EVs).　The　accurate　estimation　of　state　of　charge　(SOC)　of　EV　battery　is　important　for　prolonging　the　battery　life.　Surely,　it　is　also　important　for　the　EV　drivers　to　handle　the　range　anxiety.　In　this　paper,　we　focus　on　reviewing　applications　of　neural　network　algorithms　in　SOC　estimation　of　EVs’　batteries.　©　2022　IEEE.

Keyword：

Battery management systems Charging (batteries) Electric vehicles Ions Lithium-ion batteries Machine learning Neural networks

Community：

[ 1 ] [Lee, C.C.]School of Science and Technology, Hong Kong Metropolitan University, Hong Kong
[ 2 ] [Hu, Panpan]School of Science and Technology, Hong Kong Metropolitan University, Hong Kong
[ 3 ] [Li, C.Y.]School of Science and Technology, Hong Kong Metropolitan University, Hong Kong
[ 4 ] [Wang, S.H.]Department of Microelectronics Science and Engineering, Fuzhou University, Jinjiang, China