Model-free fast charging of lithium-ion batteries by online gradient descent
Abstract
A data-driven solution is provided for the fast-charging problem of lithium-ion batteries with multiple safety and aging constraints. The proposed method optimizes the charging current based on the observed history of measurable battery quantities, such as the input current, terminal voltage, and temperature. The proposed method does not need any detailed battery model or full-charging training episodes. The theoretical convergence is proven under mild conditions and is validated numerically on several linear and nonlinear battery models, including single-particle and equivalent-circuit models.
Fields of Study & Subjects
Advanced Battery Technologies Research
Energy Harvesting in Wireless Networks
Wireless Power Transfer Systems
Publication details
- Journal / source
- Automatica
- Volume
- 194
- Pages
- 113275–113275
- Publication date
- 1 September 2026
- Language
- EN