The Modeling and SOC Estimation of a LiFePO4 Battery Considering the Relaxation and Overshoot of Polarization Voltage

• Published in: Batteries (Basel) Vol. 9; no. 7; p. 369
• Main Authors: Zhu, Guorong, Wu, Oukai, Wang, Qian, Kang, Jianqiang, Wang, Jing V.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-07-2023
• Subjects: Electric charge; Electric potential; Equilibrium; Equivalent circuits; Kalman filters; LiFePO4 battery; Lithium; Lithium-ion batteries; Parameter identification; Partial differential equations; Phase transitions; Polarization; polarization voltage overshoot; relaxation effect; Relaxation time; SOC estimation; State of charge; Static characteristics; Time constant; triple polarization model; Voltage
• ISSN: 2313-0105; 2313-0105
• DOI: 10.3390/batteries9070369

A triple polarization (TP) model is proposed based on the second-order RC hysteresis equivalent circuit model, in order to more precisely reflect the dynamic and static characteristics of a LiFePO4 (LFP) battery, considering the long relaxation time and overshoot of its polarization voltage. The TP model introduces an RC link, whose time constant varies with changes in the battery operating status to represent the fast build-up and slow relaxation of the polarization voltage. Specifically, such an RC link evolves into an RLC parallel link during charging to reveal the overshoot characteristic. In this way, the external characteristics of LFP batteries, considering the complex phase transition process, are simulated by a simple equivalent circuit. Constant-current pulse tests are performed to verify the proposed model. For application, a state-of-charge (SOC) estimation is implemented on the basis of the TP model, with the use of a transformed cubature Kalman Filter (TCKF). The experimental results show that the TP model is able to represent the dynamic and static characteristics, as well as estimate the SOC of an LFP battery with a good accuracy.