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A New Update Rule of RLSEKF-based Joint-estimation Filters for Real-time SOH SOC Identification
[article]
2020
arXiv
pre-print
In order to accurately estimate the SOC and SOH of a lithium-ion battery used in an electric vehicle (EV), we propose an Adaptive Diagonal Forgetting Factor Recursive Least Square (ADFF-RLS) for accurate battery parameter estimation. ADFFRLS includes two new proposals in the existing DFF-RLS; The first is an excitation tag that changes the behavior of the DFFRLS and the EKF according to the dynamics of the input data. The second is auto-tuning that automatically finds the optimal value of RLS
arXiv:2003.09839v1
fatcat:voalsnctqzh4rpgnl3s6tgj4je