Optimizing Current Profiles for Efficient Online Estimation of Battery Equivalent Circuit Model Parameters Based on Cramer–Rao Lower Bound

Autor:	Prarthana Pillai, Sneha Sundaresan, Krishna R. Pattipati, Balakumar Balasingam
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	battery management system battery equivalent circuit model least squares estimation battery internal resistance Cramer–Rao lower bound Technology
Zdroj:	Energies, Vol 15, Iss 22, p 8441 (2022)
Druh dokumentu:	article
ISSN:	1996-1073
DOI:	10.3390/en15228441
Popis:	Battery management systems (BMS) are important for ensuring the safety, efficiency and reliability of a battery pack. Estimating the internal equivalent circuit model (ECM) parameters of a battery, such as the internal open circuit voltage, battery resistance and relaxation parameters, is a crucial requirement in BMSs. Numerous approaches to estimating ECM parameters have been reported in the literature. However, existing approaches consider ECM identification as a joint estimation problem that estimates the state of charge together with the ECM parameters. In this paper, an approach is presented to decouple the problem into ECM identification alone. Using the proposed approach, the internal open circuit voltage and the ECM parameters can be estimated without requiring the knowledge of the state of charge of the battery. The proposed approach is applied to estimate the open circuit voltage and internal resistance of a battery.
Databáze:	Directory of Open Access Journals
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