Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism
Abstract It is necessary to establish a sufficiently advanced Battery Management System (BMS) for safe driving of electric vehicles. Lithium-ion batteries have been widely used in electric vehicles due to their advantages of high specific energy and low-temperature resistance, so this paper takes li...
Saved in:
| Main Authors: | Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-12-01
|
| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42162-024-00453-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Self SOC Estimation for Second-Life Lithium-Ion Batteries
by: Joelton Deonei Gotz, et al.
Published: (2025-01-01) -
Estimation of Lithium-Ion Battery SOC Based on IFFRLS-IMMUKF
by: Xianguang Zhao, et al.
Published: (2024-10-01) -
Prediction of Lithium-Ion Battery Health Using GRU-BPP
by: Sahar Qaadan, et al.
Published: (2024-11-01) -
Research on SOC Prediction of Lithium-Ion Batteries Based on OLHS-DBO-BP Neural Network
by: Genbao Wang, et al.
Published: (2024-12-01) -
Comprehensive Review of Lithium-Ion Battery State of Charge Estimation by Sliding Mode Observers
by: Vahid Behnamgol, et al.
Published: (2024-11-01)