A mixed SOC estimation algorithm using enhanced OCV reset and the DCIR iterative calculation reset

Author

Dong-Jin Lim ; Jae-Gu Kim ; Jung-Hoon Ahn ; Dong-Hee Kim ; Byoung-Kuk Lee

Author_Institution

Sungkyunkwan Univ., Suwon, South Korea

fYear

2015

fDate

1-5 June 2015

Firstpage

1155

Lastpage

1160

Abstract

In this paper, a mixed algorithm is proposed to improve SOC estimation accuracy for large-capacity Li-ion battery by using advantages of Coulomb counting method, DCIR reset method, and enhanced OCV reset method. Because each method has drawbacks of accumulated SOC error during the operation in EVs, the optimal mixed algorithm is presented. Also, the weighted current value I_DC based on the mathematical analysis of the second-order RC ladder model is calculated and then it is applied to methods respectively. The proposed algorithm is verified by the experimental results based on the 27 Ah LiPB. As a result, the SOC RMSE of the proposed algorithm is decreased about 2.22% by compared with the Coulomb counting method.

Keywords

battery management systems; battery powered vehicles; iterative methods; least mean squares methods; Coulomb counting method; DC internal resistance; DCIR iterative calculation reset; RMSE; enhanced OCV reset; large-capacity lithium-ion battery; mathematical analysis; mixed SOC estimation algorithm; open circuit voltage; second-order RC ladder model; Accuracy; Algorithm design and analysis; Batteries; Capacitors; Estimation; Mathematical model; System-on-chip; Coulomb counting method; DCIR reset method; SOC estimation algorithm; enhanced OCV Reset method; mixed algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and ECCE Asia (ICPE-ECCE Asia), 2015 9th International Conference on

Conference_Location

Seoul

Type

conf

DOI

10.1109/ICPE.2015.7167926

Filename

7167926