An online capacity estimation method for LiFePO4 battery module with incremental capacity curve processed by tracking differentiator under noises

2020 ◽  
Author(s):  
Ling Liu ◽  
Tong Zhang ◽  
Yanhui Zhou ◽  
Xiongwu Zhong ◽  
Yongbo Xie ◽  
...  
Keyword(s):  
Estimation Method ◽  
Capacity Estimation ◽  
Capacity Curve ◽  
Tracking Differentiator ◽  
Incremental Capacity ◽  
Lifepo4 Battery ◽  
Battery Module

Screening of retired lithium-ion batteries using incremental capacity charging curve based residual capacity estimation method for facilitating sustainable circular lithium-ion battery system

2021 ◽  
pp. 1-16
Author(s):  
Honglei Li ◽  
Liang Cong ◽  
Huazheng Ma ◽  
Weiwei Liu ◽  
Yelin Deng ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Estimation Method ◽  
Lithium Ion ◽  
Capacity Fade ◽  
Characteristic Parameters ◽  
Capacity Estimation ◽  
Capacity Curve ◽  
Residual Capacity ◽  
Remaining Capacity ◽  
Incremental Capacity

Abstract The rapidly growing deployment of lithium-ion batteries in electric vehicles is associated with a great waste of natural resource and environmental pollution caused by manufacturing and disposal. Repurposing the retired lithium-ion batteries can extend their useful life, creating environmental and economic benefits. However, the residual capacity of retired lithium-ion batteries is unknown and can be drastically different owing to various working history and calendar life. The main objective of this paper is to develop a fast and accurate capacity estimation method to classify the retired batteries by the remaining capacity. The hybrid technique of adaptive genetic algorithm and back propagation neural network is developed to estimate battery remaining capacity using the training set comprised of the selected characteristic parameters of incremental capacity curve of battery charging. Also, the paper investigated the correlation between characteristic parameters with capacity fade. The results show that capacity estimation errors of the proposed neural network are within 3%. Peak intensity of the incremental capacity curve has strong correlation with capacity fade. The findings also show that the translation of peak of the incremental capacity curve is strongly related with internal resistance.

scholarly journals Battery Capacity Estimation Based on Incremental Capacity Analysis Considering Charging Current Rate

2021 ◽  
Vol 12 (4) ◽  
pp. 224
Author(s):  
Yiran Lin ◽  
Bo Jiang ◽  
Haifeng Dai
Keyword(s):  
Estimation Method ◽  
Data Driven ◽  
Capacity Analysis ◽  
Mechanism Analysis ◽  
Capacity Estimation ◽  
Fitting Method ◽  
Battery Capacity ◽  
Charging Current ◽  
Incremental Capacity ◽  
The Relationship

Incremental capacity analysis (ICA) is widely used in the battery decay mechanism analysis since the features of battery incremental capacity (IC) curves are closely related to battery aging and maximum available capacity. However, the traditional ICA method to estimate battery capacity mainly focuses on a single charging condition, and the influence of charging current on IC curves is ignored. In this paper, an adaptive capacity estimation method based on ICA considering the charging current is established. First, the charging experiments using different charging current rates under different battery aging statuses are designed and conducted. Then, the relationship between battery maximum available capacity, IC curve features, and charging current is investigated. Furthermore, the fitting method and data-driven method considering charging current are proposed and compared. Finally, the capacity estimation results prove the accuracy and adaptability of the proposed method.

Distal learning of the incremental capacity curve of a LiFePO4 battery

2020 ◽  
Author(s):  
Luciano Sánchez ◽  
José Otero ◽  
Manuela González ◽  
David Anseán ◽  
Alana A Zülke ◽  
...  
Keyword(s):  
Open Source ◽  
State Of Health ◽  
High Current ◽  
Large Dataset ◽  
Capacity Curve ◽  
Distal Learning ◽  
Incremental Capacity ◽  
Aging Mechanisms ◽  
Lifepo4 Battery ◽  
Intelligent Model

Abstract An intelligent model of the incremental capacity (IC) curve of an automotive lithium-ferrophosphate battery is presented. The relative heights of the two major peaks of the IC curve can be acquired from high-current discharges, thus enabling the state of health estimation of the battery while the vehicle is being operated and in certain cases, aging mechanisms can be suggested. Our model has been validated using a large dataset (number of batteries) representing different degradation scenarios, obtained from a recently available open-source database.

A health indicator extraction and optimization for capacity estimation of Li-ion battery using incremental capacity curves

2021 ◽  
Vol 42 ◽  
pp. 103072
Author(s):  
Wenjie Pan ◽  
Xuesong Luo ◽  
Maotao Zhu ◽  
Jia Ye ◽  
Lihong Gong ◽  
...  
Keyword(s):  
Li Ion Battery ◽  
Health Indicator ◽  
Capacity Estimation ◽  
Capacity Curves ◽  
Incremental Capacity ◽  
Li Ion
Sign in / Sign up

Export Citation Format

Share Document