Abstract: This paper presents a symbolic dynamic method for real-time estimation of battery state-of-charge (SOC). In the proposed method, symbol strings ...
Real-time identification of state-of-charge in battery systems: Dynamic data-driven estimation with limited window length. July 2016. DOI:10.1109/ACC ...
This paper presents a dynamic data-driven method of pattern classification for identification of the state-of-charge (SOC) parameter in battery systems for ...
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Oct 1, 2015 · This paper presents a dynamic data-driven method of pattern classification for identification of the state-of-charge (SOC) parameter in battery ...
Feb 24, 2024 · An improved inverse ampere-time method is proposed to estimate the battery capacity. •. A closed-loop framework for the co-estimation of SOC and ...
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Ref. [15] presented a data-driven method based on a D-Markov machine to estimate the SOH and state-of-charge (SOC) in lead-acid batteries. Ref. [16] used a D- ...
Semantic Scholar extracted view of "Real-time estimation of lead-acid battery parameters: A dynamic data-driven approach" by Yue Li et al.
This work used simulated battery data and real-world experimental measurements to develop and test our enhanced methodology and the data-driven SOC predictors.
Missing: limited length.
This study examines the developments in SOC estimation over the past half-decade, explicitly focusing on data-driven estimation techniques. It comprehensively ...
Abstract—Accurate estimation of the state of charge in battery systems is of essential importance for battery system management.