A Novel Multi-scale Co-estimation Framework of State of Charge, State of Health, and State of Power for Lithium-Ion Batteries

Paper i proceeding, 2018

Considering the underlying coupling among State of Charge (SOC), State of Health (SOH), and State of Power (SOP), this work proposes a novel multi-timescale co-estimation framework for these lithium-ion battery states. A modified moving horizon estimator (mMHE) is applied to the SOC estimation in real time. The model parameters affecting the SOP estimation are periodically updated through an mMHE optimization with a relatively long time horizon. The ampere-hour integral and the estimated SOC are employed to realize the SOH estimation offline. The effectiveness of the joint SOC/SOH/SOP estimation is validated experimentally on real-world batteries.