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13 results on '"Sun, Guoqiang"'

5. State of Charge Estimation for Lithium-Ion Battery via MILS Algorithm Based on Ensemble Kalman Filter

Author

Gu Wen, Sun Guoqiang, Chenlong Li, Yanan Liu, Kangkang Yuan, and Quanchun Yan

Subjects
Battery (electricity), Article Subject, Renewable Energy, Sustainability and the Environment, Computer science, 020209 energy, TJ807-830, 02 engineering and technology, General Chemistry, 021001 nanoscience & nanotechnology, Atomic and Molecular Physics, and Optics, Lithium-ion battery, Renewable energy sources, Fast tracking, State of charge, 0202 electrical engineering, electronic engineering, information engineering, Constant current, Equivalent circuit, General Materials Science, Ensemble Kalman filter, 0210 nano-technology, Algorithm, Dynamic stress
Abstract

Accurate state of charge (SOC) is great significant for lithium-ion battery to maximize its performance and prevent it from overcharging or overdischarging. This paper presents an ensemble Kalman filter- (EnKF-) based SOC estimation algorithm for lithium-ion battery. Firstly, the lithium-ion battery is modeled by the first-order RC equivalent circuit, and the multi-innovation least square (MILS) algorithm is used to perform online parameter identification of the model parameters. Then, the ensemble Kalman filter (EnKF) is introduced to estimate the state of charge. Finally, two typical experiments including constant current discharge experiment and cycling dynamic stress test are applied to evaluate the performance of the joint algorithm of MILS and EnKF. The experimental results show that the joint algorithm-based ensemble Kalman filter can achieve fast tracking and higher estimation accuracy for lithium-ion battery SOC.

Published
2021

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