4.8 Article

A capacity model based on charging process for state of health estimation of lithium ion batteries

Journal

APPLIED ENERGY
Volume 177, Issue -, Pages 537-543

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2016.05.109

Keywords

Lithium ion battery; Capacity model; Incremental capacity analysis; State of health

Funding

  1. National Natural Science Foundation of China [51477009]
  2. Fundamental Research Funds for the Central Universities [2016YJS144]
  3. Directorate For Engineering
  4. Div Of Electrical, Commun & Cyber Sys [GRANTS:13976160] Funding Source: National Science Foundation
  5. Div Of Electrical, Commun & Cyber Sys
  6. Directorate For Engineering [1202133, 1507096] Funding Source: National Science Foundation

Ask authors/readers for more resources

The incremental capacity (IC) analysis method is widely used to analyze the aging origins and state of health (SOH) of lithium ion batteries. This paper analyzes the technical difficulties during the application of the IC analysis method at first. A universal capacity model based on charging curve is then proposed, which not only inherits the advantages of IC analysis method but also avoids the tedious data preprocessing procedure, to estimate SOH of lithium ion batteries. The feasibility and accuracy of the model are demonstrated. To verify the accuracy and flexibility of the proposed capacity model, it is applied on different types of lithium ion batteries including LiFePO4, LiNi1/3Co1/3Mn1/3O2, and Li4/3Ti5/3O4. Furthermore, the proposed capacity model is applied on the aged cells to validate the model accuracy during the whole life span of lithium ion batteries. The results show that the model error is less than 4% of the nominal capacity for each case. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available