Model-Based Approach to Long Term Prediction of Battery Surface Temperature

Kumar, P. Anil; Rankin, G. W.; Pattipati, Krishna R.; Balasingam, Balakumar

doi:10.1109/jestie.2022.3214060

Cited by 12 publications

(1 citation statement)

References 41 publications

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“…In this section, a theoretical performance analysis of the proposed parameter estimation algorithm is developed. For linear observation model (32) under Gaussian noise assumption, the Cramer-Rao Lower Bound (CRLB) [29] serves as the lower bound on the estimation error covariance. It can be shown that, for the observation model ( 32), the CRLB is…”

Section: Performance Analysismentioning

confidence: 99%

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

et al. 2022

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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.

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Section: Performance Analysismentioning

confidence: 99%