A Variable Effective Capacity Model for LiFePO4 Traction Batteries Using Computational Intelligence Techniques

作者：Sanchez Luciano^*; Blanco Cecilio; Anton Juan C; Garcia Victor; Gonzalez Manuela; Viera Juan C

来源：IEEE Transactions on Industrial Electronics, 2015, 62(1): 555-563.

DOI：10.1109/TIE.2014.2327552

• Computational intelligence
• equivalent circuit model
• LiFePO4 batteries
• semiphysical intelligent systems

Computational intelligence techniques are used to approximate the nonlinear operation of LiFePO4 batteries using rule-based systems. In this paper, rule-based systems are not directly fitted to data, but comprise constructive blocks in a differential-equation-based dynamical model that is numerically integrated to infer battery voltage, charge, and temperature. The design methodology has been validated with three different LiFePO4 batteries, and the results were found to be more accurate than those of a selection of statistical models and state-of-the-art artificial intelligence techniques.

• 出版日期2015-1