TY - GEN
T1 - Lithium-ion battery disturbance current estimation, with application to a self-balancing photovoltaic battery storage system
AU - Mishra, Partha P.
AU - Fathy, Hosam Kadry
PY - 2017/6/29
Y1 - 2017/6/29
N2 - This paper develops a model-based algorithm for combined state and disturbance estimation in a lithium-ion battery cell. The 'disturbance', in this context, is the external current applied to the cell. The algorithm estimates this current based solely on terminal voltage measurement, which is valuable for applications where current sensors are too costly. Furthermore, the paper presents a theoretical analysis of the disturbance estimation covariance achievable by this algorithm. The algorithm is particularly valuable for applications where estimates of battery current are needed, but measurements of this current are too costly. One example comes from the authors' previous work on a self-balancing hybrid photovoltaic/battery system. We apply the proposed algorithm, in simulation, to this system, and use a moving average filter to attenuate the noise in its disturbance current estimates. The results of this simulation study show that the proposed algorithm is indeed successful in tracking both the internal battery state and photovoltaic current in the above hybrid photovoltaic/battery system.
AB - This paper develops a model-based algorithm for combined state and disturbance estimation in a lithium-ion battery cell. The 'disturbance', in this context, is the external current applied to the cell. The algorithm estimates this current based solely on terminal voltage measurement, which is valuable for applications where current sensors are too costly. Furthermore, the paper presents a theoretical analysis of the disturbance estimation covariance achievable by this algorithm. The algorithm is particularly valuable for applications where estimates of battery current are needed, but measurements of this current are too costly. One example comes from the authors' previous work on a self-balancing hybrid photovoltaic/battery system. We apply the proposed algorithm, in simulation, to this system, and use a moving average filter to attenuate the noise in its disturbance current estimates. The results of this simulation study show that the proposed algorithm is indeed successful in tracking both the internal battery state and photovoltaic current in the above hybrid photovoltaic/battery system.
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U2 - 10.23919/ACC.2017.7963576
DO - 10.23919/ACC.2017.7963576
M3 - Conference contribution
AN - SCOPUS:85027049127
T3 - Proceedings of the American Control Conference
SP - 4048
EP - 4054
BT - 2017 American Control Conference, ACC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 American Control Conference, ACC 2017
Y2 - 24 May 2017 through 26 May 2017
ER -