Journal
ENERGIES
Volume 11, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/en11051211
Keywords
super-twisting algorithm; sliding mode observer; second-order RC equivalent circuit model; Li-ion battery; state of charge
Categories
Funding
- Shaanxi Science and Technology Co-ordination Innovation Project, China [2015KG090203]
- Xi'an Key Cultivation Project of the Transformation of Sci-Tech Achievements [N2017KE0100]
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A novel method for Li-ion battery state of charge (SOC) estimation based on a super-twisting sliding mode observer (STSMO) is proposed in this paper. To design the STSMO, the state equation of a second-order RC equivalent circuit model (SRCECM) is derived to represent the dynamic behaviors of the Li-ion battery, and the model parameters are determined by the pulse current discharge approach. The convergence of the STSMO is proven by Lyapunov stability theory. The experiments under three different discharge profiles are conducted on the Li-ion battery. Through comparisons with a conventional sliding mode observer (CSMO) and adaptive extended Kalman filter (AEKF), the superiority of the proposed observer for SOC estimation is validated.
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