Model Predictive Control Using an Artificial Neural Network for Fast-Charging Lithium-Ion Batteries
The increasing computational complexity of Model Predictive Control (MPC) in battery systems limits its practical adoption, despite its potential for optimizing performance under dynamic operating conditions. To address this challenge, this study introduces an Artificial Neural Network-based MPC fra...
Saved in:
| Main Authors: | Joris Jaguemont, Ali Darwiche, Fanny Bardé |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/4/231 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast-Charging Model of Lithium Polymer Cells
by: Joris Jaguemont, et al.
Published: (2025-07-01) -
A Review on Advanced Battery Thermal Management Systems for Fast Charging in Electric Vehicles
by: Le Duc Tai, et al.
Published: (2024-10-01) -
Cell Architecture Design for Fast-Charging Lithium-Ion Batteries in Electric Vehicles
by: Firoozeh Yeganehdoust, et al.
Published: (2025-01-01) -
Expansion Force‐Based Adaptive Multistage Constant Current Fast Charging with Lithium Plating Detection for Lithium‐Ion Batteries
by: Yudong Shen, et al.
Published: (2025-08-01) -
Thermal analysis of nanofluid submerged battery tab under fast charging conditions
by: Hanchi Hong, et al.
Published: (2025-09-01)