Model improvement and SOC estimation based on aluminium ion batteries

Wang Jia, Xiujuan Sun, Mengchang Lin, Chuanjiang Wang, Huiping Du, Pijian Chen, Zhidong Liu

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


The main work of this paper can be divided into three parts: (1) An aluminium ion battery is made, the battery capacity is calibrated under a constant current, and the battery's voltage and current data under pulse conditions is collected. (2) The influence of the hysteresis effect on the SOC estimation of aluminium ion batteries is fully considered. A model suitable for aluminium ion batteries is established based on the model that the parameter identification and verification was carried out with. (3) The error with the EKF and AEKF algorithms in estimating the SOC of aluminium ion batteries is compared. The experimental results show that the model established in this paper can describe the working state of aluminium ion batteries very well. Compared with the EKF algorithm, the AEKF algorithm is more accurate in estimating the SOC of aluminium ion batteries.

Original languageEnglish
Article number015038
JournalEngineering Research Express
Issue number1
Publication statusPublished - Mar 2021
Externally publishedYes


  • Aluminium battery model
  • Hysteresis voltage
  • Parameter identification and verification
  • State of charge estimation

ASJC Scopus subject areas

  • Engineering(all)


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