期刊
IEEE TRANSACTIONS ON POWER ELECTRONICS
卷 36, 期 10, 页码 10970-10975出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2021.3068725
关键词
State of charge; Estimation; Optimization; Current measurement; Voltage measurement; Adaptation models; Mathematical model; State of charge; lithium ion battery; battery management; current sensor-free; input estimation
资金
- National Natural Science Foundation of China [52072038]
This study proposes a method for online load current and state-of-charge coestimation of lithium-ion batteries without the need for installing a current sensor. Experimental results show that the proposed method can accurately coestimate these parameters, which is insightful for reducing the structural complexity and cost of future LIB utilization.
The installation of current sensors on lithium-ion batteries (LIBs) can be challenging due to practical constraints in specific applications like portable electronics and smart batteries. Motivated by this, our letter proposes a method for online load current and state-of-charge (SOC) coestimation, which mitigates the need of installing the current sensor for LIB management. The essence is to transform the state observation into a constrained optimization problem, which is solved numerically in a moving horizon framework to allow the online coestimation of SOC and input current. Experimental results suggest that the proposed method can coestimate the load current and SOC of LIB precisely even if the current sensor is absent. The encouraging results are insightful for reducing the structural complexity and cost of future LIB utilization.
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