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A Mixed SOC Estimation Algorithm with High Accuracy in Various Driving Patterns of EVs

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

  • Received : 2015.09.17
  • Accepted : 2015.12.09
  • Published : 2016.01.20

Abstract

In this paper, a mixed algorithm is proposed to overcome the limitations of the conventional algorithms, which cannot be applied in various driving patterns of drivers. The proposed algorithm based on the coulomb counting method is mixed with reset algorithms that consist of the enhanced OCV reset method and the DCIR iterative calculation method. It has many advantages, such as a simple model structure, low computational overload in various profiles, and a low accumulated SOC error through the frequent SOC reset. In addition, the enhanced parameter based on a mathematical analysis of the second-order RC ladder model is calculated and is then applied to all of the methods. The proposed algorithm is verified by experimental results based on a 27-Ah LiPB. It is observed that the SOC RMSE of the proposed algorithm decreases by about 9.16% compared to the coulomb counting method.

Keywords

Coulomb counting method;DCIR reset method;Enhanced OCV reset method;Mixed algorithm;SOC estimation algorithm;Various driving patterns

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