Work

Model-free fast charging of lithium-ion batteries by online gradient descent

Year: 2026

Type: article

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.

Source: Automatica

DOI: 10.1016/j.automatica.2026.113275

Authors: Hamed Taghavian, Malin Andersson, Mikael Johansson

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: hybrid

Estimated APC paid: $3,760

Funder: Kungliga Tekniska Högskolan