Capacity estimation of Lithium-ion batteries based on discharge rate compensation model under different discharge rates

Hits:

Impact Factor:9.8

DOI number:10.1016/j.est.2025.117325

Journal:Journal of Energy Storage

Key Words:Lithium-ion battery; Capacity estimation; Discharge rate compensation model; Error compensation functions; Different discharge rates

Abstract:Accurate estimation of LFP battery capacity is important for improving system safety and extending battery life. Most existing research focuses on capacity estimation at a single discharge rate, neglecting the impact of discharge rate on battery capacity. Moreover, the trained models are often only applicable to specific discharge rates. To overcome this challenge, this paper proposes an adaptive capacity estimation method based on a discharge rate compensation model. Initially, a comparative analysis was conducted to examine the correlation between selected features and battery capacity at diverse discharge rates, revealing highly correlated feature ranges across all rates. Subsequently, optimal data-driven models were obtained by leveraging these features and employing Bayesian optimization. Finally, an error compensation function was incorporated into the optimal data-driven model to construct a discharge rate compensation model (DRCM), enabling capacity estimation across multiple discharge rate scenarios. The comparison results with deep learning and traditional machine learning show that the proposed DRCM has the best estimation performance, achieving 0.74% Mean Absolute Percentage Error (MAPE) and 0.99% Root Mean Square Percentage Error (RMSPE) for LFP batteries, and 1.56% MAPE and 2.12% RMSPE for NMC batteries, with training time only 1/6–1/20 of machine learning.

Note:中科院2区

Co-author:Changpeng Tan,Ji Wu,Duo Yang

First Author:Li Wang

Indexed by:Journal paper

Correspondence Author:Muyao Wu

Document Code:117325

Discipline:Engineering

Document Type:J

Volume:131

ISSN No.:2352-152X

Translation or Not:no

Date of Publication:2025-06-23

Included Journals:SCI、EI

Links to published journals:https://www.sciencedirect.com/science/article/pii/S2352152X25020389