A Real-Time High C-Rate Lithium-Ion Battery Fast Charging Strategy

This article investigates real-time fast charging for lithium-ion batteries at high C-rates. First, an electrochemical-thermal-inspired battery model is presented to capture key dynamics accurately. The model is validated through hardware experiments, showing small modeling errors across a wide range of charging (up to 4C) and discharging (up to 14.5C) currents. A fast-charging framework is then proposed, consisting of two components: an offline trajectory optimization and an online current reshaping algorithm. First, the offline component solves a time-optimal charging trajectory optimization problem once at the start of the charging process. This generates an optimal reference trajectory for battery states and controls, which is then used by the online component. Second, the online component continually reshapes the reference charging current in real time. Operating at a higher frequency, it adjusts the current based on the present state and the reference current for the next time instance, ensuring compliance with charging constraints. Numerical experiments confirm the effectiveness and computational efficiency of the proposed framework.

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.1109/ccta53793.2025.11151417
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

A Real-Time High C-Rate Lithium-Ion Battery Fast Charging Strategy

Hao Tu, Zehui Lu, Yebin Wang, Huazhen Fang et al.
Advanced Battery Technologies Research
article

A Real-Time High C-Rate Lithium-Ion Battery Fast Charging Strategy

Hao Tu, Zehui Lu, Yebin Wang, Huazhen Fang, Shaoshuai Mou
article en

Abstract

This article investigates real-time fast charging for lithium-ion batteries at high C-rates. First, an electrochemical-thermal-inspired battery model is presented to capture key dynamics accurately. The model is validated through hardware experiments, showing small modeling errors across a wide range of charging (up to 4C) and discharging (up to 14.5C) currents. A fast-charging framework is then proposed, consisting of two components: an offline trajectory optimization and an online current reshaping algorithm. First, the offline component solves a time-optimal charging trajectory optimization problem once at the start of the charging process. This generates an optimal reference trajectory for battery states and controls, which is then used by the online component. Second, the online component continually reshapes the reference charging current in real time. Operating at a higher frequency, it adjusts the current based on the present state and the reference current for the next time instance, ensuring compliance with charging constraints. Numerical experiments confirm the effectiveness and computational efficiency of the proposed framework.

University of Kansas (US), Purdue University West Lafayette (US), Mitsubishi Electric (United States) (US)
Openalex Percentile: Top 74%
Advanced Battery Technologies Research
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A Real-Time High C-Rate Lithium-Ion Battery Fast Charging Strategy — Hao Tu, Zehui Lu, et al. · (2025) | TGRS Research Map | TGRS